{"id":138,"date":"2022-10-28T12:38:29","date_gmt":"2022-10-28T03:38:29","guid":{"rendered":"http:\/\/polygraphic.jpn.com\/?p=138"},"modified":"2023-05-26T15:56:26","modified_gmt":"2023-05-26T06:56:26","slug":"program","status":"publish","type":"post","link":"https:\/\/pakdd2023.org\/program\/","title":{"rendered":"Conference Program"},"content":{"rendered":"\n<p><strong>*All times are given in JST (UTC+9, Osaka time).<\/strong><\/p>\n\n\n\n<p><strong>*May 25: <a id=\"my_a\" href=\"https:\/\/pakdd2023.org\/tutorials\/\">Tutorials<\/a> and <a id=\"my_a\" href=\"https:\/\/pakdd2023.org\/pw\/\">Workshop<\/a> day<\/strong> <font color=\"red\"><strong>(fully online)<\/strong><\/font><\/p>\n\n\n\n<p><strong>*<\/strong>The banquet will be held in the SAKURA room on the 5th floor of <strong>Hilton Osaka<\/strong>. <a id=\"my_a\" href=\"https:\/\/pakdd2023.org\/wp-content\/uploads\/2023\/05\/banquet.pdf\">Route to Hilton Osaka<\/a><\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<style>\ntable , td, th {\n\tborder: 1px solid #abb8c3;\n\tborder-collapse: collapse;\n    text-align: center;\n    \n}\ntd, th {\n\tpadding: 3px;\n}\nth {\n\tbackground: #f0e6cc;\n}\n.time {\n    background-color: #f7e172;\n}\n.keynote {\n    background-color: #D9EAD3;\n}\n\n.my-table {\n    width: 100%;\n    text-align: left;\n    border-collapse: collapse;\n    border-spacing: 0;\n}\n\n.date {\n    font-size: small;\n}\n\n.my-table-body tr:nth-child(2n){\n    background: #f5f3ed;\n}\n\n.sessions td{\n    border-bottom: solid 3px #abb8c3;\n    text-align: left;\n}\n\n.sessions tr:nth-last-child(1) {\n    border-bottom: solid 5px #abb8c3;\n}\n\n.details tr:nth-child(2n){\n    background-color: #faf5dc;\n}\n<\/style>\n\n    <table class=\"date\">\n        <tbody class=\"my-table-body\" bgcolor=\"#faf5dc\">\n            <tr>\n                <td><\/td>\n                <td colspan=\"4\"><b>May 26<\/b><\/td>\n                <td><\/td>\n                <td colspan=\"4\"><b>May 27<\/b><\/td>\n                <td><\/td>\n                <td colspan=\"4\"><b>May 28<\/b><\/td>\n            <\/tr>\n            <tr>\n                <td class=\"time\">9:45<\/td>\n                <td colspan=\"4\">Registration<\/td>\n                <td class=\"time\">9:15<\/td>\n                <td colspan=\"4\">Registration<\/td>\n                <td class=\"time\">9:15<\/td>\n                <td colspan=\"4\">Registration<\/td>\n            <\/tr>\n            <tr>\n                <td class=\"time\" rowspan=\"2\">10:45&#8211;11:00<\/td>\n                <td colspan=\"4\" rowspan=\"2\"><b>Opening<\/b> <p><small>(ZOOM streaming from ROOM A)<\/small><\/td>\n                <td class=\"time\">9:30&#8211;10:30<\/td>\n                <td colspan=\"4\" class=\"keynote\"><br><a href=\"https:\/\/pakdd2023.org\/keynote\/#keynote2\"><strong>Keynote<\/strong>: Dr. Wei Wang<br><br>(Session Chair: Hisashi Kashima)<\/a><br><small>(ZOOM streaming from ROOM A)<\/small><br><\/td>\n                <td class=\"time\">9:30&#8211;10:30<\/td>\n                <td colspan=\"4\" class=\"keynote\"><br><a href=\"https:\/\/pakdd2023.org\/keynote\/#keynote3\"><strong>Keynote<\/strong>: Dr. Takashi Washio<br><br>(Session Chair: Yasushi Sakurai)<\/a><br><small>(ZOOM streaming from ROOM A)<\/small><br><\/td>\n            <\/tr>\n            <tr>\n                <td class=\"time\">10:30&#8211;10:50<\/td>\n                <td colspan=\"4\">Coffee break<\/td>\n                <td class=\"time\">10:30&#8211;10:50<\/td>\n                <td colspan=\"4\">Coffee break<\/td>\n            <\/tr>\n            <tr>\n                <td class=\"time\">11:00&#8211;12:00<\/td>\n                <td colspan=\"4\" class=\"keynote\"><a href=\"https:\/\/pakdd2023.org\/keynote\/#keynote1\"><strong>Keynote<\/strong>: Dr. Edward Y. Chang<br><br> (Session Chair: Wen-Chih Peng)<\/a><p><small>(ZOOM streaming from ROOM A)<\/small><\/td>\n                <td class=\"time\">10:50&#8211;12:30<\/td>\n                <td><a href=\"#3A\"><i>Session 3A<\/i><br>\n                        Medical and Biological Data<\/a><\/td>\n                <td><a href=\"#3B\"><i>Session 3B<\/i><br>\n                        Fairness<\/a><\/td>\n                <td><a href=\"#3C\"><i>Session 3C<\/i><br>\n                        Graphs and Networks<\/a><\/td>\n                <td><a href=\"#3D\"><i>Session 3D<\/i><br>\n                        Probabilistic Models and Clustering<\/a><\/td>\n                <td class=\"time\">10:50&#8211;12:30<\/td>\n                <td><a href=\"#6A\"><i>Session 6A<\/i><br>\n                        Graphs and Networks<\/a><\/td>\n                <td><a href=\"#6B\"><i>Session 6B<\/i><br>\n                        Spatio-temporal Data<\/a><\/td>\n                <td><a href=\"#6C\"><i>Session 6C<\/i><br>\n                        Semi-supervised and Unsupervised Learning<\/a><\/td>\n                <td><a href=\"#6D\"><i>Session 6D<\/i><br>\n                        Robustness<\/a><\/td>\n            <\/tr>\n            <tr>\n                <td class=\"time\">12:00&#8211;13:00<\/td>\n                <td colspan=\"4\">Lunch<\/td>\n                <td class=\"time\">12:30&#8211;13:30<\/td>\n                <td colspan=\"4\">Lunch<\/td>\n                <td class=\"time\">12:30&#8211;13:30<\/td>\n                <td colspan=\"4\">Lunch<\/td>\n            <\/tr>\n            <tr>\n                <td class=\"time\">13:00&#8211;14:40<\/td>\n                <td><a href=\"#1A\"><i>Session 1A<\/i><br>\n                        Reinforcement Learning<\/a><\/td>\n                <td><a href=\"#1B\"><i>Session 1B<\/i><br>\n                        Foundation<\/a><\/td>\n                <td><a href=\"#1C\"><i>Session 1C<\/i><br>\n                        Texts<\/a><\/td>\n                <td><a href=\"#1D\"><i>Session 1D<\/i><br>\n                        Recommendation<\/a><\/td>\n                <td class=\"time\">13:30-15:10<\/td>\n                <td><a href=\"#4A\"><i>Session 4A<\/i><br>\n                        Explainability and Fairness<\/a><\/td>\n                <td><a href=\"#4B\"><i>Session 4B<\/i><br>\n                        Recommendation<\/a><\/td>\n                <td><a href=\"#4C\"><i>Session 4C<\/i><br>\n                        Patterns and Rules<\/a><\/td>\n                <td><a href=\"#4D\"><i>Session 4D<\/i><br>\n                        Time-series and Streaming Data<\/a><\/td>\n                <td class=\"time\">13:30&#8211;15:10<\/td>\n                <td><a href=\"#7A\"><i>Session 7A<\/i><br>\n                        Graphs and Networks<\/a><\/td>\n                <td><a href=\"#7B\"><i>Session 7B<\/i><br>\n                        Federated Learning<\/a><\/td>\n                <td><a href=\"#7C\"><i>Session 7C<\/i><br>\n                        Multimedia and Multimodal Data<\/a><\/td>\n                <td><a href=\"#7D\"><i>Session 7D<\/i><br>\n                        Information Retrieval and Search<\/a><\/td>\n            <\/tr>\n            <tr>\n                <td class=\"time\">14:40&#8211;15:00<\/td>\n                <td colspan=\"4\">Coffee break<\/td>\n                <td class=\"time\">15:10&#8211;15:30<\/td>\n                <td colspan=\"4\">Coffee break<\/td>\n                <td><\/td>\n                <td colspan=\"4\"><\/td>\n            <\/tr>\n            <tr>\n                <td class=\"time\">15:00&#8211;17:00<\/td>\n                <td><a href=\"#2A\"><i>Session 2A<\/i><br>\n                        Texts<\/a><\/td>\n                <td><a href=\"#2B\"><i>Session 2B<\/i><br>\n                        Classification<\/a><\/td>\n                <td><a href=\"#2C\"><i>Session 2C<\/i><br>\n                        Applications<\/a><\/td>\n                <td><a href=\"#2D\"><i>Session 2D<\/i><br>\n                        Deep Learning<\/a><\/td>\n                <td class=\"time\">15:30&#8211;17:30<\/td>\n                <td><a href=\"#5A\"><i>Session 5A<\/i><br>\n                        Anomaly and Outlier Detection<\/a><\/td>\n                <td><a href=\"#5B\"><i>Session 5B<\/i><br>\n                        Online and Streaming Algorithms<\/a><\/td>\n                <td><a href=\"#5C\"><i>Session 5C<\/i><br>\n                        Texts<\/a><\/td>\n                <td><a href=\"#5D\"><i>Session 5D<\/i><br>\n                        Applications<\/a><\/td>\n                <td class=\"time\">15:10&#8211;15:40<\/td>\n                <td colspan=\"4\"><b>Closing<\/b> <p><small>(ZOOM streaming from ROOM A)<\/small><\/td>\n            <\/tr>\n            <tr>\n                <td><\/td>\n                <td colspan=\"4\"><\/td>\n                <td class=\"time\">19:15-21:15<\/td>\n                <td colspan=\"4\">Banquet<br> <a id=\"my_a\" href=\"http:\/\/pakdd2023.org\/wp-content\/uploads\/2023\/05\/banquet.pdf\">SAKURA room on the 5th floor of Hilton Osaka<\/a><\/td>\n                <td><\/td>\n                <td colspan=\"4\"><\/td>\n            <\/tr>\n        <\/tbody>\n    <\/table>\n\n\n\n<div style=\"height:35px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h1 class=\"wp-block-heading\">Program Details<\/h1>\n\n\n\n<table class=\"my-table my-table-body\" bgcolor=\"#faf5dc\" border=\"1\">\n        <thead class=\"my-table-head\" bgcolor=\"#f7e172\">\n            <tr>\n                <td class=\"my-table-head-td1\">Session<\/td>\n                <td class=\"my-table-head-td2\">Paper<\/td>\n            <\/tr>\n        <\/thead>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">1A<br><b>Reinforcement Learning<\/b><br><br>Session Chair:<br>Kyuseok Sim<br> (Seoul National University)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"1A\"><\/a>\n                            Multi-Agent Meta-Reinforcement Learning with Coordination and Reward Shaping for Traffic Signal Control\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Xin Du (Sun Yat-sen University)*; Jiahai Wang (Sun Yat-sen University); Siyuan Chen (Sun Yat-sen University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            A Dynamic and Task-independent Reward Shaping Approach for Discrete Partially Observable Markov Decision\n                            Processes\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Sepideh Nahali (York University)*; Hajer Ayadi (york university); Jimmy Huang (&#8221; York University, Canada&#8221;);\n                        Esmat Pakizeh (Kharazmi Univerity); Mir Mohsen Pedram (Kharazmi University); Leila Safari (University of Zanjan)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Constrained Portfolio Management using Action Space Decomposition for Reinforcement Learning\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        David Winkel (LMU Munich)*; Niklas A Strau\u00df (LMU Munich); Matthias Schubert (Ludwig-Maximilians-Universit\u00e4t\n                        M\u00fcnchen); Yunpu Ma (Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen); Thomas Seidl (LMU Munich)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Regularization of the policy updates for stabilizing Mean Field Games\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Talal Algumaei (Mohamed bin Zayed University of Artificial Intelligence); Ruben Solozabal Ochoa de Retana\n                        (MBZUAI); Reda ALAMI (Technology Innovation Institute)*; Hakim Hacid (TII); Merouane A DEBBAH (Technology\n                        Innovation Institute); Martin Takac (MBZUAI)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Transfer Reinforcement Learning based Negotiating Agent Framework\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Siqi Chen (Tianjin University)*; Tianpei Yang (University of alberta); heng you (Tianjin University);\n                        Jianing Zhao (Tianjin University); Jianye Hao (Tianjin University); Gerhard Weiss (Maastricht University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">1B<br><b>Foundations<\/b><br><br>Session Chair: Wei Luo<br>(Deakin University)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"1B\"><\/a>\n                            Accelerating Stochastic Newton Method via Chebyshev Polynomial Approximation\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Fan Sha (East China Normal University)*; Jianyu Pan (East China Normal University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Stochastic Submodular Maximization via Polynomial Estimators\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Gozde Ozcan (Northeastern University)*; Stratis Ioannidis (Northeastern University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Adaptive Bi-nonlinear Neural Networks Based on Complex Numbers with Weights Constrained along the Unit\n                            Circle\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Felip Guimer\u00e0 Cuevas (BMW + LMU)*; Thomy Phan (LMU Munich); Helmut Schmid (CIS,\n                        Ludwig-Maximilians-Universit\u00e4t)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation Criterion\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Alex AM Mourer (SAMM, Universit\u00e9 Paris 1 Panth\u00e9on Sorbonne); Florent Forest (LIPN, Universit\u00e9 Sorbonne Paris\n                        Nord)*; Mustapha Lebbah (DAVID Lab, University of Versailles, Universit\u00e9 Paris-Saclay,); Hanane Azzag (LIPN,\n                        University Paris 13); LACAILLE Jerome (-)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Data-dependent and scale-invariant kernel for Support Vector Machine classification\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Vinayaka Vivekananda Malgi (Deakin University)*; Sunil Aryal (Deakin University); Zafaryab Rasool (Deakin\n                        University); David Tay (Deakin University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">1C<br><b>Texts<\/b><br><br>Session Chair:<br>Hung-Yu Kao<br>(National Cheng Kung University)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"1C\"><\/a>\n                            QA-Matcher: Unsupervised Entity Matching Using A Question Answering Model\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Shogo Hayashi (BizReach)*; Yuyang Dong (NEC); Masafumi Oyamada (NEC)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Multi-Task Student Teacher based Unsupervised Domain Adaptation for Address Parsing\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Rishav Sahay (Amazon)*; Anoop Saladi (amazon); Prateek Sircar (Amazon)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Unsupervised Text Style Transfer through Differentiable Back Translation and Rewards\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Dibyanayan Bandyopadhyay (Indian Institute of Technology, Patna)*; Asif Ekbal (IIT Patna, India)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            What Boosts Fake News Dissemination on Social Media? A Causal Inference View\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Yichuan Li (WPI)*; Kyumin Lee (Worcester Polytechnic Institute); Nima Kordzadeh (Worcester Polytechnic\n                        Institute ); Ruocheng Guo (Bytedance)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Topic-Selective Graph Network for Topic-Focused Summarization\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Shi Zesheng (Nankai University)*; Yucheng Zhou (University of Technology Sydney)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">1D<br><b>Recommendation<\/b><br><br>Session Chair:<br>Hsuan-Tien Lin<br>(National Taiwan University)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"1D\"><\/a>\n                            Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Zhi Li (Osaka university)*; Daichi Amagata (Osaka University); Yihong Zhang (Osaka University); Takahiro\n                        Hara (Osaka University, Japan); Shuichiro Haruta (KDDI Research, Inc.); Kei Yonekawa (KDDI Research, Inc.);\n                        Mori Kurokawa (KDDI Research, Inc.)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Staying or Leaving: A Knowledge-Enhanced User Simulator for Reinforcement Learning Based Short Video\n                            Recommendation\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Zhaoqi Yang (Tsinghua University)*; Hongyan Liu (Tsinghua University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Interest Driven Graph Structure Learning for Session-Based Recommendation\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Huachi Zhou (The Hong Kong Polytechnic University)*; Shuang Zhou (The Hong Kong Polytechnic University);\n                        Keyu Duan (NUS); Xiao Huang (The Hong Kong Polytechnic University); Qiaoyu Tan (Texas A&#038;M University);\n                        Zailiang Yu (Zhejiang Lab)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Edoardo D&#8217;Amico (Insight Centre)*; Aonghus Lawlor (UCD); Neil Joseph Hurley (University College Dublin)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Ahmed El-Kishky (Twitter)*; Thomas Markovich (Twitter); Kenny Leung (Twitter); Frank Portman (Twitter); Aria\n                        Haghighi (Twitter); Ying Xiao (Twitter)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"7\">2A<br><b>Texts<\/b><br><br>Session Chair:<br>Richi Nayak<br>(Queensland University of Technology)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"2A\"><\/a>\n                            Words Can be Confusing: Stereotype Bias Removal in Text Classification at the Word Level\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Shaofei Shen (University of Queensland)*; Mingzhe Zhang (University of Queensland); Weitong Chen (Adelaide\n                        University); Alina N Bialkowski (The University of Queensland); Miao Xu (University of Queensland)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Dual-Detector: An Unsupervised Learning Framework for Chinese Spelling Check\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Feiran Shao (University of Science and Technology of China)*; Jinlong Li (USTC-Birmingham Joint Research\n                        Institution in Intelligent Computation and Its Applications (UBRI) School of Computer Science and\n                        Technology, University of Science and Technology of China)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Exploiting Phrase Interrelations in Span-level Neural Approaches for Aspect Sentiment Triplet Extraction\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Iwo Naglik (Poznan University of Technology); Mateusz Lango (Poznan University of Technology)*\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Knowledge-Enhanced Hierarchical Transformers for Emotion-Cause Pair Extraction\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Yuwei Wang (Hefei University of Technology); Yuling Li (Hefei University of Technology); Kui Yu (School of\n                        Computer and Information, Hefei University of Technology)*; Yimin Hu (Institute of Intelligent Machines,\n                        Hefei Institutes of Physical Science, Chinese Academy of Sciences)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Improving Machine Translation and Summarization with the Sinkhorn Divergence\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Shijie Li (University of Technology Sydney)*; Inigo Jauregi (Rozetta Technology); MASSIMO PICCARDI\n                        (University of Technology Sydney, Australia)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Enhanced Topic Modeling with Multi-modal Representation Learning\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Duoyi Zhang (Queensland University of Technology); Yue Wang (Queensland University of Technology)*; Md Abul\n                        Bashar (Queensland University of Technology); Richi Nayak (Queensland University of Technology, Brisbane)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"7\">2B<br><b>Classification<\/b><br><br>Session Chair: Donsoo Kim<br>(Soongsil University)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"2B\"><\/a>\n                            Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Jiahui Zhou (Xi&#8217;an Shiyou University); Nayyar Zaidi (Deakin University); Yishuo Zhang (Deakin University)*;\n                        Paul Montague (&#8220;DST, Australia&#8221;); Kim Junae (Defence Science and Technology Group); Gang Li (Deakin\n                        Univeristy, Australia)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Generative Sentiment Transfer via Adaptive Masking\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Yingze Xie (Beijing Foreign Studies University)*; Jie Xu (Beijing Foreign Studies University ); Liqiang Qiao\n                        (Beijing Foreign Studies University ); Yun Liu (Moutai Institue); Feiran Huang (Jinan University); Chaozhuo\n                        Li (Microsoft Research Asia)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            M-EBM: Towards Understanding the Manifolds of Energy-Based Models\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Xiulong Yang (Georgia State University)*; Shihao Ji (Georgia State University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Taehyung Kim (Korea Univ.)*; Woo-Jeoung Nam (Kyungpook National University); Seong-Whan Lee (Korea\n                        University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            The Causal Strength Bank: A New Benchmark for Causal Strength Classification\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Xiaosong Yuan (Jilin University)*; Renchu Guan (Jilin University); Wanli Zuo (Jilin University); Yijia Zhang\n                        (National University of Defense Technology)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Label Distribution Learning with Discriminative Instance Mapping\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Heng-Ru Zhang (Southwest Petroleum University)*; Run-Ting Bai (Southwest Petroleum University); Wen-Tao Tang\n                        (Southwest Petroleum University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"7\">2C<br><b>Applications<\/b><br><br>Session Chair:<br>Jin Tae Kwak<br>(Korea University)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"2C\"><\/a>\n                            Weak Correlation-based Discriminative Dictionary Learning for Image Classification\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Huangkai Zhang (Soochow University); Li Zhang (Soochow University)*\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Few-shot human motion prediction for heterogeneous sensors\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Rafael Rego Drumond (Universit\u00e4t Hildesheim); Lukas Brinkmeyer (Universit\u00e4t Hildesheim)*; Lars\n                        Schmidt-Thieme (University of Hildesheim)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Post-it: Augmented Reality Based Group Recommendation with Item Replacement\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Wei-Pin Wang (National Taiwan University); Hsi-Wen Chen (National Taiwan University)*; De-Nian Yang\n                        (Academia Sinica); Ming-Syan Chen (National Taiwan University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            RLMixer: A Reinforcement Learning Approach For Integrated Ranking With Contrastive User Preference\n                            Modeling\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Jing Wang (The Chinese University of Hong Kong)*; Mengchen Zhao (Huawei Noah&#8217;s Ark Lab); Wei Xia (Huawei\n                        Noah&#8217;s Ark Lab); Zhenhua Dong (Huawei Noah&#8217;s Ark Lab); Ruiming Tang (Huawei Noah&#8217;s Ark Lab); Rui Zhang\n                        (ruizhang.info); Jianye Hao (Huawei Noah&#8217;s Ark Lab); Guangyong Chen (The Chinese University of Hong Kong);\n                        Pheng-Ann Heng (The Chinese Univsersity of Hong Kong)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            MIDFA : Memory-Based Instance Division and Feature Aggregation Network for Video Object Detectio\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Qiaochuan Chen (Shanghai University); Min Zhou (Shanghai University); Hang Yu (Shanghai University)*\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Toward Explainable Recommendation Via Counterfactual Reasoning\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Haiyang Xia (Australian National University); Qian Li (Curtin University); Zhichao Wang (Insurance Australia\n                        Group); Gang Li (Deakin Univeristy, Australia)*\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"7\">2D<br><b>Deep Learning<\/b><br><br>Session Chair:<br>Jae-Gil Lee<br>(KAIST)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"2D\"><\/a>\n                            Small Temperature is All You Need for Differentiable Architecture Search\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Jiuling Zhang (University of Chinese Academy of Sciences)*; Zhiming Ding (ISCAS)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Dynamic Multi-View Fusion Mechanism For Chinese Relation Extraction\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        yang jing (National University of Defense Technology)*; bin ji (National University of Defense Technology);\n                        Shasha Li (National University of Defense Technology); Jun Ma (National University of Defense Technology);\n                        Jie Yu (National University of Defense Technology)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            CopyCAT: Masking Strategy Conscious Augmented Text for Machine Generated Text Detection\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Chien Liang Liu (National Cheng Kung University)*; Hung-Yu Kao (National Cheng Kung University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            LSG Attention: Extrapolation of pretrained Transformers to long sequences\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Charles Condevaux (Universit\u00e9 de N\u00eemes)*; S\u00e9bastien HARISPE (IMT Mines Al\u00e8s)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Weight Prediction Boosts the Convergence of AdamW\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Lei Guan (National University of Defense Technology)*\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Alignment-aware Word Distance\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Guoliang Zhao (Peking University); Jinglei Zhang (Peking University)*; Dongdong Du (China Academy of\n                        Industrial Internet); Qing Gao (Peking University); Shujun Lin (Institute for Global Health and Development,\n                        Peking University ); Xiongfeng Xiao (Peking University); Yupeng Wu (Peking University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"7\">3A<br><b>Medical and Biological Data<\/b><br><br>Session Chair:<br>Koji Maruhashi<br>(Fujitsu Limited)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"3A\"><\/a>\n                            BioSequence2Vec: Efficient Embedding Generation For Biological Sequences\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Sarwan Ali (Georgia State University)*; Usama Sardar (LUMS); Murray D Patterson (Georgia State University);\n                        Imdadullah Khan (Lahore University of Management Sciences)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Hierarchical Graph Neural Network for Patient Treatment Preference Prediction with External Knowledge\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Quan Li (Pennsylvania State University)*; Lingwei Chen (Wright State University); Yong Cai (IQVIA Inc.);\n                        Dinghao Wu (Pennsylvania State University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Vision Transformers for Small Histological Datasets learned through Knowledge Distillation\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Neel Kanwal (University of Stavanger)*; Trygve Eftest\u00f8l (University of Stavanger); Farbod Khoraminia\n                        (Erasmus MC); Tahlita Zuiverloon (Erasmus MC); Kjersti Engan (University of Stavanger)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Tobias Weber (LMU Munich)*; Michael Ingrisch (Department of Radiology, University Hospital, LMU Munich);\n                        Bernd Bischl (LMU Munich); David Ruegamer (LMU Munich)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            DKFM: Dual Knowledge-guided Fusion Model for Drug Recommendation\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Yankai Tian (Dalian Maritime University); Yijia Zhang (Dalian Maritime University)*; Xingwang Li (Dalian\n                        Maritime University); Mingyu Lu (Information Science and Technology College)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">3B<br><b>Fairness<\/b><br><br>Session Chair: Na Zou<br>(Texas A&#038;M University)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"3B\"><\/a>\n                            Disentangled Representation with Causal Constraints for Counterfactual Fairness\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Ziqi Xu (University of South Australia)*; Jixue Liu (University of South Australia); Debo Cheng (University\n                        of South Australia); Jiuyong Li (University of South Australia); Lin Liu (University of South Australia); Ke\n                        Wang (SFU)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            GroupMixNorm Layer for Learning Fair Models\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Anubha Pandey (Mastercard)*; Aditi Rai (Mastercard); Maneet Singh (Mastercard, India); Deepak Bhatt\n                        (Mastercard); TANMOY BHOWMIK (Mastercard)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Multi-fair Capacitated Students-Topics Grouping Problem\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Tai Le Quy (L3S Research Center &#8211; Leibniz University Hannover)*; Gunnar Friege (Faculty of Mathematics and\n                        Physics &#8211; Leibniz University Hannover); Eirini Ntoutsi (Bundeswehr University Munich)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Estimating the Risk of Individual Discrimination of Classifiers\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Jonathan Vasquez (George Mason University)*; Xavier Gitiaux (George Mason University); Huzefa Rangwala\n                        (George Mason University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Quantifying the Bias of Transformer-Based Language Models for African American English in Masked\n                            Language Modeling\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Flavia Salutari (Telecom Paris); Jerome Ramos (University College London)*; Hossein A. Rahmani (University\n                        College London); Leonardo Linguaglossa (Telecom Paris); Aldo Lipani (University College London)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">3C<br><b>Graphs and Networks<\/b><br><br>Session Chair:<br>Graham Williams<br>(Australian National University)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"3C\"><\/a>\n                            Relations between Adjacency and Modularity Graph Partitioning\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Hansi Jiang (SAS Institute Inc.)*; Carl Meyer (North Carolina State University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            A Novel Explainable Link Forecasting Framework for Temporal Knowledge Graphs using Time-relaxed Cyclic\n                            and Acyclic Rules\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        R.Uday Kiran (University of Aizu); Abinash Maharana (International Institute of Information Technology,\n                        Hyderabad)*; Krishna Reddy P (International Institute of Information Technology, Hyderabad)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Yuzhou Chen (Temple University)*; Miguel Heleno (Lawrence Berkeley National Laboratory); Alexandre Moreira\n                        da Silva (Lawrence Berkeley National Laboratory); Yulia R. Gel (The University of Texas at Dallas)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Proactive Rumor Control: When Impression Counts\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        xu pengfei (wuhan university)*; Zhiyong Peng (&#8221; Wuhan University, China&#8221;); Liwei Wang (Wuhan University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Qiao Qiao (Iowa State University)*; Yuepei Li (Iowa State University); Kang Zhou (Iowa State University); Qi\n                        Li (Iowa State University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">3D<br><b>Probabilistic Models and Clustering<\/b><br><br>Session Chair:<br>Gillian Dobbie<br>(University of Auckland)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"3D\"><\/a>\n                            An Improved Visual Assessment With Data-Dependent Kernel for Stream Clustering\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Baojie Zhang (Xi&#8217;an Shiyou University); Yang Cao (Deakin University); YE ZHU (Deakin University)*;\n                        Sutharshan Rajasegarar (Deakin University); Gang Liu (Harbin Engineering University); Hong Xian Li (Deakin\n                        University ); Maia Angelova (Deakin University); Gang Li (Deakin Univeristy, Australia)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Parameter-free Bayesian Decision Trees for Uplift Modeling\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Mina RAFLA (Orange Labs)*; nicolas Voisine (Orange); Bruno Cremilleux (Universit\u00e9 de Caen Normandie)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition\n                            Data\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Masahiro Kohjima (NTT Corporation)*; Takeshi Kurashima (NTT Corporation); Hiroyuki Toda (NTT)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Bayesian Optimization over Mixed Type Inputs with Encoding Methods\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Zhihao Liu (Department of Information Systems and Management Engineering, Southern University of Science and\n                        Technology)*; Weiming Ou (Southern University of Science and Technology); Songhao Wang (Southern University\n                        of Science and Technology)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Adaptive View-aligned and Feature Augmentation Network for Partially View-aligned Clustering\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Xianchao Zhang (Dalian University of Technology); Mengyan Chen (Dalian University of Technology); Jie Mu\n                        (Dongbei University of Finance and Economics); Linlin Zong (Dalian University of Technology)*\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">4A<br><b>Explainability and Fairness<\/b><br><br>Session Chair:<br>Gillian Dobbie<br>(University of Auckland)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"4A\"><\/a>\n                            Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and\n                            Drop-out\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Zidi Xiu (Apple Inc.)*; Kai-Chen Cheng (Apple Inc.); David Q Sun (Apple Inc.); Jiannan Lu (Apple Inc); Hadas\n                        Kotak (Apple Inc.); Paul McCarthy (Apple Inc.); Yuhan Zhang (Harvard University); Christopher Klein (Apple\n                        Inc.); Stephen Pulman (Apple); Jason Williams (Apple)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing\n                            Flows\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Tri Dung Duong (University of Technology Sydney)*; Qian Li (Curtin University); Guandong Xu (University of\n                        Technology Sydney, Australia)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Toward Interpretable Machine Learning: Constructing Polynomial Models Based on Feature Interaction Trees\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Jisoo Jang (Seoul National University)*; Mina Kim (Seoul National University); Tien-Cuong Bui (Seoul\n                        National University); Wen-Syan Li (Seoul National University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Fairness for Robust Learning to Rank\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Omid Memarrast (University of Illinois at Chicago)*; Ashkan Rezaei (University of Illinois at Chicago);\n                        Rizal Fathony (Grab); Brian Ziebart (UIC)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            F3: Fair and Federated Face Attribute Classification with Heterogeneous Data\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Samhita Kanaparthy (Machine Learning Lab, International Institute of Information Technology Hyderabad);\n                        Manisha Padala (Machine Learning Lab, International Institute of Information Technology, Hyderabad)*;\n                        Sankarshan Damle (Machine Learning Lab, International Institute of Information Technology, Hyderabad); Ravi\n                        Kiran Sarvadevabhatla (IIIT Hyderabad); Sujit Gujar (Machine Learning Laboratory, International Institute of\n                        Information Technology, Hyderabad)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">4B<br><b>Recommendation<\/b><br><br>Session Chair:<br>Yihong Zhang<br>(Osaka University)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"4B\"><\/a>\n                            Multi-behavior Guided Temporal Graph Attention Network for Recommendation\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Weijun Xu (Xiamen University); Han Li (Xiamen University); Meihong Wang (School of Informatics, Xiamen\n                        University)*\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Global-Aware External Attention Deep Model for Sequential Recommendation\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Tianxing Wang (Griffith University)*; Can Wang (Griffith University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-aware Reranking\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Hyunsik Jeon (Seoul National University)*; Jongjin Kim (Seoul National University); Jaeri Lee (Seoul\n                        National University); Jong-eun Lee (Seoul National University); U Kang (Seoul National University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Jinze Wang (Macquarie University); Lu Zhang (Nanyang Technological University)*; Zhu Sun (A*STAR); Yew Soon\n                        Ong (Nanyang Technological University, Nanyang View, Singapore); Jie Zhang (Nanyang Technological\n                        University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Jongjin Kim (Seoul National University)*; Hyunsik Jeon (Seoul National University); Jaeri Lee (Seoul\n                        National University); U Kang (Seoul National University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">4C<br><b>Patterns and Rules<\/b><br><br>Session Chair:<br>Robert Moskovitch<br>(Ben Gurion University)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"4C\"><\/a>\n                            Interactive Pattern Mining using Discriminant Sub-patterns as Dynamic Features\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Arnold Hien (University of Caen Normandy); Samir Loudni (TASC (LS2N-CNRS), IMT Atlantique)*; Noureddine\n                        Aribi (University of Oran); Abdelkader Ouali (University of Caen Normandy); Albrecht Zimmermann (Universit\u00e9\n                        de Caen Normandie)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Continuously Predicting the Completion of a Time Intervals Related Pattern\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Nevo Itzhak (Ben-Gurion University)*; Szymon Jaroszewicz (Institute of Computer Science, Polish Academy of\n                        Sciences); Robert Moskovitch (Ben-Gurion University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            A Consumer-Good-Type Aware Itemset Placement Framework for Retail Businesses\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Raghav Mittal (Ashoka University)*; Anirban Mondal (Ashoka University); Krishna Reddy P (International\n                        Institute of Information Technology, Hyderabad)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            RL-Net: Interpretable Rule Learning with Neural Networks\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Lucile Dierckx (Universit\u00e9 Catholique de Louvain, BE)*; Rosana Veroneze (Universit\u00e9 Catholique de Louvain,\n                        BE); Siegfried Nijssen (Universit\u00e9 Catholique de Louvain, BE)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Likhitha Palla (University of Aizu)*; Veena Pamalla (SBRIT college); Uday Kiran RAGE (The University of\n                        Aizu); Koji Zettsu (National Institute of Information and Communications Technology )\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">4D<br><b>Time-series and Streaming Data<\/b><br><br>Session Chair:<br>Rage Uday Kiran<br>(The University of Aizu)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"4D\"><\/a>\n                            Quasi-periodicity Detection via Repetition Invariance of Path Signatures\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Chenyang Wang (University of Melbourne)*; Ling Luo (University of Melbourne); Uwe Aickelin (The University\n                        of Melbourne)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Targeted Attacks on Time Series Forecasting\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Zeyu Chen (The University of Auckland)*; Katharina Dost (University of Auckland); Xuan Zhu (University of\n                        Auckland); Xinglong Chang (The University of Auckland); Gillian Dobbie (&#8220;Univ. of Auckland, New Zealand&#8221;);\n                        J\u00f6rg Wicker (The University of Auckland)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            A Global view-Guided Autoregressive Residual Network for Irregular Time Series Classification\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Jianping Zhu (Dalian University of Technology)*; Haocheng Tang (Institute of Automation Chinese Academy of\n                        Sciences); Tianze Chen (Dalian University of Technology); Liang Zhang (Dongbei University of Finance and\n                        Economics); Bo Jin (Dalian University of Technology); Yi Xu (Institute of Automation Chinese Academy of\n                        Sciences); Xiaopeng Wei (Dalian University of Technology)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Dynamic Variable Dependency Encoding and Its Application on Change Point Detection\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Hao Huang (GE Research)*; Shinjae Yoo (BNL)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Petrel: Personalized Trend Line Estimation with Limited Labels from One Individual\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Tong-Yi Kuo (National Central University); Hung-Hsuan Chen (National Central University)*\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">5A<br><b>Anomaly and Outlier Detection<\/b><br><br>Session Chair:<br>Minsoo Kim<br>(Pukyong National University)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"5A\"><\/a>\n                            Outlying Aspect Mining via Sum-Product Networks\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Stefan L\u00fcdtke (University of Mannheim)*; Christian Bartelt (University of Mannheim ); Heiner Stuckenschmidt\n                        (University of Mannheim)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Achieving Counterfactual Fairness for Anomaly Detection\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Xiao Han (Utah State University)*; Lu Zhang (University of Arkansas); Yongkai Wu (Clemson University);\n                        Shuhan Yuan (Utah State University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Xinglong Chang (The University of Auckland)*; Katharina Dost (University of Auckland); Kaiqi Zhao\n                        (University of Auckland); Ambra Demontis (University of Cagliari ); Fabio Roli (Italy); Gillian Dobbie\n                        (&#8220;Univ. of Auckland, New Zealand&#8221;); J\u00f6rg Wicker (The University of Auckland)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative\n                            Adversarial Networks\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Shyam Sundar Saravanan (Missouri University of Science and Technology); Tie Luo (Department of Computer\n                        Science, Missouri University of Science and Technology)*; Mao V. Van Ngo (Singapore University of Technology\n                        and Design)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            An Effective WGAN-based Anomaly detection Model for IoT Multivariate Time Series\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Sibo Qi (Xihua University); Juan Chen (Xihua University); Peng Chen (Xihua University)*; Peian Wen (Xihua\n                        university); Wenyu Shan (Xihua university); Ling Xiong (Xihua university)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"7\">5B<br><b>Online and Streaming Algorithms<\/b><br><br>Session Chair:<br>Atsunori Kanemura<br>(National Institute of Advanced Industrial Science and Technology (AIST) \/ Mirai Hoshu K.K.)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"5B\"><\/a>\n                            Using Flexible Memories to Reduce Catastrophic Forgetting\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Wernsen Wong (The University of Auckland)*; Yun Sing Koh (University of Auckland); Gillian Dobbie (&#8220;Univ. of\n                        Auckland, New Zealand&#8221;)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Fair Healthcare Rationing to Maximize Dynamic Utilities\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Aadityan Ganesh (Chennai Mathematical Institute); Pratik Ghosal (Chennai Mathematical Institute); Vishwa\n                        Prakash HV (Chennai Mathematical Institute); Prajakta Nimbhorkar (Chennai Mathematical Institute, Chennai)*\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            A Multi-player MAB Approach for Distributed Selection Problems\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Jinyu Mo (College of Computer Science, Chongqing University); Hong Xie (Chongqing Institute of Green and\n                        Intelligent Technology, Chinese Academy of Sciences, China)*\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            A Thompson Sampling Approach to Unifying Causal Inference and Bandit Learning\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Hanxuan Xu (Chongqing University); Hong Xie (Chongqing Institute of Green and Intelligent Technology,\n                        Chinese Academy of Sciences, China)*\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Federico Giannini (Politecnico di Milano)*; Giacomo Ziffer (Politecnico di Milano); Emanuele Della Valle\n                        (Politecnico di Milano)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Mining Frequent Sequential Subgraph Evolutions in Dynamic Attributed Graphs\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        zhi cheng (Activus Group)*; Landy ANDRIAMAMPIANINA (Activus Group, Institut de Recherche en Informatique \u00e0\n                        Toulouse, Universit\u00e9 Toulouse 1 Capitole); Franck Ravat (IRIT); Jiefu SONG (Institut de Recherche en\n                        Informatique de Toulouse); Nathalie Vall\u00e8s-Parlangeau (Universit\u00e9 de Pau et des Pays de l&#8217;Adour); Philippe\n                        Fournier-Viger (Shenzhen University); Nazha Selmaoui-Folcher (University of New Caledonia)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">5C<br><b>Texts<\/b><br><br>Session Chair:<br>Hady W. Lauw<br>(Singapore Management University)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"5C\"><\/a>\n                            BeamAttack: Generating High-quality Textual Adversaries through Beam Search and Mixed Semantic Spaces\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Hai Zhu (University of Science and Technology of China)*; Qingyang Zhao (Xidian University); yuren wu (Ping\n                        An Technology (Shenzhen) Co., Ltd.)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Compressing the Embedding Matrix By a Dictionary Screening Approach in Text Classification\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Jing Zhou (Renmin University of China)*; Xinru Jing (Renmin University of China); Muyu Liu (Renmin\n                        University of China); Hansheng Wang (Peking University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Fake News Detection Through Temporally Evolving User Interactions\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Shuzhi Gong (The University of Melbourne)*; Richard Sinnott (University of Melbourne); Jianzhong Qi (The\n                        University of Melbourne); Cecile Paris (CSIRO)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            PICKD: In-Situ Prompt Tuning for Knowledge-Grounded Dialogue Generation\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Rajdeep Sarkar (University of Galway)*; Koustava Goswami (Insight Centre for Data Analytics, Data Science\n                        Institute, National University of Ireland Galway); Mihael Arcan (Insight Centre for Data Analytics); John\n                        McCrae (National University of Ireland Galway)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Web-scale Semantic Product Search With Large Language Models\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Aashiq Muhamed (Amazon)*; sriram srinivasan (Amazon); Choon Hui Teo (Amazon); Qingjun Cui (Amazon); Belinda\n                        Zeng (Amazon); Trishul A Chilimbi (Amazon); SVN Vishwanathan (UC Santa Cruz)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">5D<br><b>Applications<\/b><br><br>Session Chair:<br>Marcin Szczuka<br>(University of Warsaw)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"5D\"><\/a>\n                            Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger\n                            Causality in Global Stock Indices\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Yixiao Lu (University of Auckland)*; Yokiu Lee (University of Auckland ); Haoran Feng (University of\n                        Auckland); Johnathan C Leung (University of Auckland); Alvin Cheung (The University of Auckland); Katharina\n                        Dost (University of Auckland); Katerina Taskova (The University of Auckland); Thomas Lacombe (The University\n                        of Auckland)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Inline Citation Classification using Peripheral Context and Time-evolving Augmentation\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Priyanshi Gupta (IIIT Delhi); Yash Kumar Atri (IIIT Delhi)*; Apurva Nagvenkar (Crimson AI); Sourish Dasgupta\n                        (DAIICT, Gandhinagar); Tanmoy Chakraborty (IIT Delhi, India)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Joint Latent Topic Discovery and Expectation Modeling for Financial Markets\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Lili Wang (Dartmouth College)*; Chenghan Huang (Millennium Management Llc); Chongyang Gao (Northwestern\n                        University); Weicheng Ma (Dartmouth College); Soroush Vosoughi (Dartmouth College)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Let the model make financial senses: a Text2Text generative approach for financial complaint\n                            idenfication\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Sarmistha Das (Indian Institute Of Technology, Patna)*; APOORVA SINGH (Indian Institute of Technology\n                        Patna); Raghav Jain (IIT Patna); Sriparna Saha (IIT Patna); Alka Maurya (Crisil Pvt. Ltd)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Online Volume Optimization for Notifications via Long Short-Term Value Modeling\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Yuchen Zhang (Tencent)*; Mingjun Zhao (University of Alberta); Chenglin Li (University of Alberta); Weiyu\n                        Tou (Tencent); Haolan Chen (Tencent); Di Niu (University of Alberta); Cunxiang Yin (Tencent); Yancheng He\n                        (Tencent); Fei Guo (Tencent)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"5\">6A<br><b>Graphs and Networks<\/b><br><br>Session Chair:<br>Hisashi Kashima<br>(Kyoto University)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"6A\"><\/a>\n                            A Graph Contrastive Learning Framework with Adaptive Augmentation and Encoding for Unaligned Views\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Yifu Guo (HeiLongjiang University)*; Yong Liu (HeiLongJiang University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            MixER: MLP-Mixer Knowledge Graph Embedding for Capturing Rich Entity-Relation Interactions in Link\n                            Prediction\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Thanh N Le (University of Science, VNU-HCM)*; Pham Ngoc Thien An (HCMUS); Tho Chung (University of Science,\n                        VNU-HCM); Truong Tat Nguyen (HCMUS-VNU); Tuan Nguyen (University of Science, VNU-HCM); Bac Le (University of\n                        Science, VNU-HCM)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Improving Knowledge Graph Entity Alignment with Graph Augmentation\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Feng Xie (National University of Defense Technology)*; Xiang Zeng (National University of Defense\n                        Technology); Bin Zhou (National University of Defense Technology); yusong tan (College of Computer, National\n                        University of Defense Technology)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            UPGAT: Uncertainty-Aware Pseudo-Neighbor Augmented Knowledge Graph Attention Network\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Yen Ching Tseng (National Taiwan University)*; Zhu-Mu Chen (National Taiwan University); Mi-Yen Yeh\n                        (Academia Sinica); Shou-De Lin (NTU)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">6B<br><b>Spatio-temporal Data<\/b><br><br>Session Chair:<br>Kyoungok Kim<br>(Seoul National University of Science &#038; Technology (SeoulTech))<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"6B\"><\/a>\n                            RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Changlu Chen (UTS)*; Yanbin Liu (The University of Western Australia); Ling Chen (&#8221; University of\n                        Technology, Sydney, Australia&#8221;); Chengqi Zhang (University of Technology Sydney)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            MetaCitta: Deep Meta-Learning for Spatio-Temporal Prediction Across Cities and Tasks\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Ashutosh Sao (L3S Research Center, Leibniz University Hannover)*; Simon Gottschalk (L3S); Nicolas\n                        Tempelmeier (Volkswagen AG); Elena Demidova (DSIS Research Group, University of Bonn)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Road Network Representation Learning with Vehicle Trajectories\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Stefan Schestakov (L3S Research Center, Leibniz University Hannover)*; Paul Heinemeyer (Leibniz University\n                        Hannover ); Elena Demidova (DSIS Research Group, University of Bonn)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Deep Graph Stream SVDD: Anomaly Detection in Cyber-Physical Systems\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Ehtesamul Azim (University of Central Florida)*; Dongjie Wang (University of Central Florida); Yanjie Fu\n                        (University of Central Florida)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Generative-Contrastive-Attentive Spatial-Temporal Network for Traffic Data Imputation\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Wenchuang Peng (Beijing Jiaotong University)*; Youfang Lin (Beijing Jiaotong University); Shengnan Guo\n                        (Beijing Jiaotong University); Weiwen Tang (Beijing JiaoTong University); Le Liu (Beijing Jiaotong\n                        University ); Huaiyu Wan (Beijing Jiaotong University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">6C<br><b>Semi-supervised and Unsupervised Learning<\/b><br><br>Session Chair:<br>Wray Buntine<br>(VinUniversity)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"6C\"><\/a>\n                            Multi-Augmentation Contrastive Learning as Multi-Objective Optimization for Graph Neural Networks\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Xu Li (Tongji University)*; yongsheng chen (Tongji University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Adversarial Active Learning with Guided BERT Feature Encoding\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Linsey Pang (Salesforce)*; kexin xie (Salesforce); Yuxi Zhang (Salesforce inc); Max Fleming (Salesforce);\n                        Damian Xu (Salesforce); Wei Liu (University of Technology Sydney)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Reduction from Complementary-Label Learning to Probability Estimates\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Wei-I Lin (National Taiwan University)*; Hsuan-Tien Lin (National Taiwan University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Semi-supervised Text Classification via Self-Paced Semantic-Level Contrast\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Yu Xia (Institute of Software Chinese Academy of Sciences)*; Kai Zhang (realsee); Kaijie Zhou (University of\n                        Liverpool); Rui Wang (Science and Technology on Integrated Information System Laboratory, Institute of\n                        Software Chinese Academy of Sciences); Xiaohui Hu ( Institute of Software Chinese Academy of Sciences)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            A Relational Instance-based Clustering Method with Contrastive Learning for Open Relation Extraction\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Xiaoge Li (Xi&#8217;an university of posts and telecommunications)*; Dayuan Guo (Xi\u2019an University of Posts and\n                        Telecommunications); Tiantian Wang (Shandong University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">6D<br><b>Robustness<\/b><br><br>Session Chair:<br>Jiun-Long Huang<br>(National Yang Ming Chiao Tung University)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"6D\"><\/a>\n                            Defending Against Backdoor Attacks by Layer-wise Feature Analysis\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Najeeb Jebreel (Universitat Rovira i Virgili)*; Josep Domingo-Ferrer (Universitat Rovira i Virgili,\n                        Catalonia); Yiming Li (Tsinghua University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Model-Agnostic Reachability Analysis on Deep Neural Networks\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Chi Zhang (University of Exeter)*; Wenjie Ruan (University of Exeter); Fu Wang (University of Exeter);\n                        Peipei Xu (University of Liverpool); Prof.Geyong Min (University Of Exeter); Xiaowei Huang (Liverpool\n                        University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            MISNN: Multiple Imputation via Semi-parametric Neural Networks\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Zongyu Dai (University of Pennsylvania)*; Yiliang Zhang (University of Pennsylvania); Zhiqi Bu (University\n                        of Pennsylvania); Qi Long (University of Pennsylvania)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Fast and Attributed Change Detection on Dynamic Graphs with Density of States\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Shenyang Huang (Mila\/McGill University)*; Jacob Danovitch (MILA); Guillaume Rabusseau (Mila &#8211; Universit\u00e9 de\n                        Montr\u00e9al); Reihaneh Rabbany (McGill University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            The Common-Neighbors Metric is Noise-Robust &#038; Reveals Substructures of Real-World Networks\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Sarel Cohen (Hasso Plattner Institute); Philipp Fischbeck (Hasso Plattner Institute, University of\n                        Potsdam)*; Tobias Friedrich (Hasso Plattner Institute); Martin S. Krejca (LIX, CNRS, Ecole Polytechnique,\n                        IPP)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">7A<br><b>Graphs and Networks<\/b><br><br>Session Chair:<br>Takashi Washio<br>(Osaka University)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"7A\"><\/a>\n                            GTEA: Representation Learning for Temporal Interaction Graphs via Edge Aggregation\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Siyue Xie (The Chinese University of Hongkong)*; Yiming LI (The Chinese University of Hong Kong); Da Sun\n                        Handason Tam (The Chinese University of Hongkong); Xiaxin Liu (Tencent Technology Co.Ltd); Qiu Fang Ying\n                        (Tencent Technology Co.Ltd); Wing Cheong Lau (The Chinese University of Hong Kong); Dah Ming M. Chiu\n                        (Chinese University of Hong Kong); Shou Zhi Chen (Tencent Technology Co. Ltd)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            CondTraj-GAN: Conditional Sequential GAN for Generating Synthetic Vehicle Trajectories\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Nils Henke (Volkswagen AG)*; Shimon Wonsak (Volkswagen); Prasenjit Mitra (The Pennsylvania State\n                        University); Michael Nolting (Volkswagen AG); Nicolas Tempelmeier (Volkswagen AG)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural\n                            Network\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Huaisheng Zhu (The Pennsylvania State University)*; Xianfeng Tang (Amazon); Tianxiang Zhao (Penn State\n                        University); Suhang Wang (Pennsylvania State University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Anti-Money Laundering in Cryptocurrency via Multi-Relational Graph Neural Network\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Woochang Hyun (Seoul National University)*; Jaehong Lee (Seoul National University); Bongwon Suh (Seoul\n                        National University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            MPool: Motif-Based Graph Pooling\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Muhammad Ifte Khairul Islam (Oklahoma State University)*; Maxim A Khanov (OSU); Esra Akbas (Georgia State\n                        University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">7B<br><b>Federated Learning<\/b><br><br>Session Chair:<br>Tony T. Luo<br>(Missouri University of Science and Technology)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"7B\"><\/a>\n                            Achieving Provable Byzantine Fault-Tolerance in a Semi-honest Federated Learning Setting\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Xingxing Tang (The Hong Kong University of Science and Technology)*; Hanlin Gu (HKUST); Lixin Fan (WeBank);\n                        Qiang Yang (Hong Kong UST)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Enhancing Federated Learning Robustness using Data-Agnostic Model Pruning\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Mark Huasong Meng (National University of Singapore)*; Singee Teo (I2R); Guangdong Bai (University of\n                        Queensland); Kailong Wang (National University of Singapore); Jin Song Dong (National University of\n                        Singapore)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational\n                            Distribution Constraints\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Yongli Mou (RWTH Aachen University)*; Jiahui Geng (University of Stavanger); Feng Zhou (Renmin University of\n                        China); Oya Beyan (University of Cologne); Chunming Rong (University of Stavanger); Stefan Decker (RWTH\n                        Aachen University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Maverick Matters: Client Contribution and Selection in Federated Learning\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Jiyue Huang (TU Delft)*; Chi Hong (TU Delft); Yang Liu (Tsinghua University); Lydia Chen (TU Delft);\n                        Stefanie Roos (TU Delft)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Federated Learning under Statistical Heterogeneity on Riemannian Manifold\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Adnan Ahmad (Deakin University)*; Wei Luo (Deakin University); Antonio Robles-Kelly (Deakin University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"5\">7C<br><b>Multimedia and Multimodal Data<\/b><br><br>Session Chair:<br>De-Nian Yang<br>(Academia Sinica)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"7C\"><\/a>\n                            An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        David Hason Rudd (University of Technology Sydney)*; Huan Huo (University of Technology Sydney); Guandong Xu\n                        (University of Technology Sydney, Australia)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            TCR: Short Video Title Generation and Cover Selection with Attention Refinement\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Yakun Yu (University of Alberta)*; Jiuding Yang (University of Alberta); Weidong Guo (Tencent); Hui Liu\n                        (Platform and Content Group, Tencent); Yu Xu (Tencent); Di Niu (University of Alberta)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Dynamically-Scaled Deep Canonical Correlation Analysis\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Tomer Friedlander (Tel Aviv University)*; Lior Wolf (Tel Aviv University, Israel)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy\n                            Text-to-Image Retrieval\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Zhen Liu (University of Science and Technology of China)*; Yongxin Zhu (University of Science and Technology\n                        of China); Zhujin Gao (University of Science and Technology of China); Xin Sheng (University of Science and\n                        Technology of China); Linli Xu (University of Science and Technology of China)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n        <tbody class=\"sessions\">\n            <td rowspan=\"6\">7D<br><b>Information Retrieval and Search<\/b><br><br>Session Chair:<br>Yasutoshi Ida (NTT)<\/td>\n            <tr>\n                <td>\n                    \n                        <b><a name=\"7D\"><\/a>\n                            Document-level Relation Extraction with Cross-sentence Reasoning Graph\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Hongfei Liu (University of Electronic Science and Technology of China)*; Zhao Kang (University of Electronic\n                        Science and Technology of China); Lizong Zhang (University of Electronic Science and Technology of China);\n                        Ling Tian (University of Electronic Science and Technology of China); Fujun Hua (Research and Development\n                        Center TROY Information Technology Co., Ltd. Chengdu, China)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            MFBE: Leveraging Multi-Field Information of FAQs for Efficient Dense Retrieval\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Debopriyo Banerjee (Rakuten); Mausam Jain (Rakuten)*; Ashish Kulkarni (Rakuten)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Multi-task learning based Keywords weighted Siamese Model for semantic retrieval\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Mengmeng Kuang (Tencent Holdings Ltd.); Zhenhong Chen (Tencent Ltd.); Weiyan Wang (Hong Kong University of\n                        Science and Technology)*; lie kang (tencent); Qiang Yan (Tencent); Min Tang (Tencent Holdings Ltd.); Penghui\n                        Hao (Tencent Holdings Ltd.)\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Isotropic Representation Can Improve Dense Retrieval\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Euna Jung (Seoul National University); Jungwon Park (Seoul National University); Jaekeol Choi (Seoul\n                        National University); Sungyoon Kim (Seoul National University); Wonjong Rhee (Seoul National University)*\n                    <\/div>\n                <\/td>\n            <\/tr>\n            <tr>\n                <td>\n                    \n                        <b>\n                            Knowledge-Enhanced Prototypical Network with Structural Semantics for Few-Shot Relation Classification\n                    \n                    <\/b>\n                    <br>\n                    <div class=\"authors\">\n                        Yanhu Li (East China Normal University)*; taolin zhang (East China Normal University); Dongyang Li (East\n                        China Normal University); Xiaofeng He (East China Normal University)\n                    <\/div>\n                <\/td>\n            <\/tr>\n        <\/tbody>\n    <\/table>\n","protected":false},"excerpt":{"rendered":"<p>*All times are given in JST (UTC+9, Osaka time). *May 25: Tutorials and Workshop day (fully online) *The banqu [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[9],"tags":[],"_links":{"self":[{"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/posts\/138"}],"collection":[{"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/comments?post=138"}],"version-history":[{"count":93,"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/posts\/138\/revisions"}],"predecessor-version":[{"id":1126,"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/posts\/138\/revisions\/1126"}],"wp:attachment":[{"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/media?parent=138"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/categories?post=138"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pakdd2023.org\/wp-json\/wp\/v2\/tags?post=138"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}