| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | |
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1 | Paper ID | Paper Cycle | Paper Title | Author(s) | |||||||||||||||||||||
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3 | Research Papers | Room 601 | |||||||||||||||||||||||
4 | Tuesday, August 5 | 08:00-10:00 | |||||||||||||||||||||||
5 | THEME: | Spatio-Temporal Modeling 1 | |||||||||||||||||||||||
6 | SESSION CHAIR: | Fenglong Ma (Pennsylvania State University) | |||||||||||||||||||||||
7 | 1 | rtfa0856 | August | Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention | Wen Xiong:Beijing University Of Technology;Jinduo Liu:Beijing University Of Technology;Junzhong Ji:Beijing University Of Technology;Fenglong Ma:Pennsylvania State University | ||||||||||||||||||||
8 | 2 | rtfb0973 | February | Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks | Lin Zuo:School of Information and Software Engineering, University of Electronic Science and Technology of China;Yongqi Ding:School of Information and Software Engineering, University of Electronic Science and Technology of China;Mengmeng Jing:School of Information and Software Engineering, University of Electronic Science and Technology of China;Kunshan Yang:School of Information and Software Engineering, University of Electronic Science and Technology of China;Biao Chen:School of Information and Software Engineering, University of Electronic Science and Technology of China;Yunqian Yu:School of Information and Software Engineering, University of Electronic Science and Technology of China | ||||||||||||||||||||
9 | 3 | rtfb2420 | February | FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification | Tian Tian:Alibaba-NTU Singapore Joint Research Institute, Interdisciplinary Graduate Programme, Nanyang Technological University;Chunyan Miao:College of Computing and Data Science, Nanyang Technological University;Hangwei Qian:CFAR, A*STAR | ||||||||||||||||||||
10 | 4 | rtfb1196 | February | FAT: Frequency-Aware Pretraining for Enhanced Time-Series Representation Learning | Rui Cheng:School of Finance, Southwestern University of Finance and Economics;Xiangfei Jia:School of Computer and Artificial Intelligence, Southwestern University of Finance and Economics;Qing Li:Research Institute for Digital Economy and Interdisciplinary Sciences, Southwestern University of Finance and Economics;Rong Xing:School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics;Jiwen Huang:School of Finance, Southwestern University of Finance and Economics;Yu Zheng:School of Finance, Southwestern University of Finance and Economics;Zhilong Xie:School of Management Science and Engineering, Southwestern University of Finance and Economics | ||||||||||||||||||||
11 | 5 | rtfb1253 | February | CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation | Rabeya Tus Sadia:Department of Computer Science, University of Kentucky;Md Atik Ahamed:Department of Computer Science, University of Kentucky;Qiang Cheng:Department of Computer Science, Department of Internal Medicine, Institute for Biomedical Informatics, University of Kentucky | ||||||||||||||||||||
12 | 6 | rtfa1086 | August | Dynamic Deep Clustering of High-Dimensional Directional Data via Hyperspherical Embeddings with Bayesian Nonparametric Mixtures | Zhiwen Luo:The Concordia Institute for Information Systems Engineering, Concordia University;Wentao Fan:Guangdong Provincial/Zhuhai Key Laboratory IRADS and Department of Computer Science, Beijing Normal University-Hong Kong Baptist University (BNU-HKBU) United International College;Manar Amayri:The Concordia Institute for Information Systems Engineering, Concordia University;Nizar Bouguila:The Concordia Institute for Information Systems Engineering, Concordia University | ||||||||||||||||||||
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14 | Tuesday, August 5 | 13:00-15:00 | |||||||||||||||||||||||
15 | THEME: | Time Series and Anomaly Detection | |||||||||||||||||||||||
16 | SESSION CHAIR: | Mourad Khayati (University of Fribourg) | |||||||||||||||||||||||
17 | 1 | rtfa1103 | August | Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels | Yaxuan Wang:University of California, Santa Cruz;Hao Cheng:Hong Kong Baptist University;Jing Xiong:University of California, Santa Cruz;Qingsong Wen:Squirrel AI;Han Jia:RIPED, CNPC;Ruixuan Song:University of California, Santa Cruz;Liyuan Zhang:DUT,RIPED, CNPC;Zhaowei Zhu:BIAI, ZJUT,D5 Data;Yang Liu:University of California, Santa Cruz | ||||||||||||||||||||
18 | 2 | rtfb0488 | February | Generalized Discords for Time Series Anomaly Detection with Flexible Subsequence Lengths | Makoto Imamura:School of Information and Telecommunication Engineering, Tokai University Educational System | ||||||||||||||||||||
19 | 3 | rtfb0336 | February | MSHTrans: Multi-Scale Hypergraph Transformer with Time-Series Decomposition for Temporal Anomaly Detection | Zhaoliang Chen:Hong Kong Baptist University;Zhihao Wu:Zhejiang University;William K. Cheung:Hong Kong Baptist University;Hong-Ning Dai:Hong Kong Baptist University;Byron Choi:Hong Kong Baptist University;Jiming Liu:Hong Kong Baptist University | ||||||||||||||||||||
20 | 4 | rtfb1934 | February | Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data | Timur Sattarov:School of Computer Science, University of St. Gallen,Research Data and Service Centre, Deutsche Bundesbank;Marco Schreyer:AI-DA Group, Swiss Federal Audit Office (SFAO),Big Data Group, International Computer Science Institute;Damian Borth:School of Computer Science, University of St. Gallen | ||||||||||||||||||||
21 | 5 | rtfb1281 | February | Self-Tuning Self-Supervised Image Anomaly Detection | Jaemin Yoo:KAIST;Lingxiao Zhao:Mistral AI;Leman Akoglu:Carnegie Mellon University | ||||||||||||||||||||
22 | 6 | rtfb0975 | February | READ: Robust and Efficient Anomaly Detection under Data Contamination and Limited Supervision | Hongzhe Shou:East China Normal University;Guanyu Lu:East China Normal University;Martin Pavlovski:Samsung Electronics America;Fang Zhou:East China Normal University | ||||||||||||||||||||
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24 | Tuesday, August 5 | 15:30-17:30 | |||||||||||||||||||||||
25 | THEME: | Time Series and Domain Generalization | |||||||||||||||||||||||
26 | SESSION CHAIR: | Agam Shah (Georgia Institute of Technology) | |||||||||||||||||||||||
27 | 1 | rtfa0555 | August | Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation | Peiliang Gong:Nanjing University of Aeronautics and Astronautics;Mohamed Ragab:Technology Innovation Institute;Min Wu:Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR);Zhenghua Chen:Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR),Centre for Frontier AI Research, Agency for Science Technology and Research (A*STAR);Yongyi Su:South China University of Technology,Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR);Xiaoli Li:Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR),Centre for Frontier AI Research, Agency for Science Technology and Research (A*STAR);Daoqiang Zhang:Nanjing University of Aeronautics and Astronautics | ||||||||||||||||||||
28 | 2 | rtfb0384 | February | Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning | Kai Zhao:Aalborg University;Zhihao Zhuang:East China Normal University;Chenjuan Guo:East China Normal University;Hao Miao:Aalborg University;Christian S. Jensen:Aalborg University;Yunyao Cheng:Aalborg University;Bin Yang:East China Normal University | ||||||||||||||||||||
29 | 3 | rtfb0563 | February | Test-Time Training with Diversified Local Aggregation Consistency for Mortality Prediction using Clinical Time Series | Jingwen Xu:Department of Computer Science, Hong Kong Baptist University;Fei Lyu:Department of Computer Science, Hong Kong Baptist University;Pong C. Yuen:Department of Computer Science, Hong Kong Baptist University | ||||||||||||||||||||
30 | 4 | rtfb0347 | February | Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomalies | Kohei Obata:SANKEN, University of Osaka;Yasuko Matsubara:SANKEN, University of Osaka;Yasushi Sakurai:SANKEN, University of Osaka | ||||||||||||||||||||
31 | 5 | rtfb1090 | February | Diffusion-Guided Diversity for Single Domain Generalization in Time Series Classification | Junru Zhang:Zhejiang University;Lang Feng:Nanyang Technological University;Xu Guo:KTH Royal Institute of Technology;Han Yu:Nanyang Technological University;Yabo Dong:Zhejiang University;Duanqing Xu:Zhejiang University | ||||||||||||||||||||
32 | 6 | rtfa0178 | August | Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization | Tianxin Wei:UIUC;Yifan Chen:HKBU;Xinrui He:UIUC;Wenxuan Bao:UIUC;Jingrui He:UIUC | ||||||||||||||||||||
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34 | Wednesday, August 6 | 13:00-15:00 | |||||||||||||||||||||||
35 | THEME: | Time-evolving Data Analysis | |||||||||||||||||||||||
36 | SESSION CHAIR: | Hua Wei (Arizona State University) | |||||||||||||||||||||||
37 | 1 | rtfa0589 | August | D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams | Shingo Higashiguchi:SANKEN, Osaka University;Yasuko Matsubara:SANKEN, Osaka University;Koki Kawabata:SANKEN, Osaka University;Taichi Murayama:Yokohama National University;Yasushi Sakurai:SANKEN, Osaka University | ||||||||||||||||||||
38 | 2 | rtfa1208 | August | Modeling Time-evolving Causality over Data Streams | Naoki Chihara:SANKEN, Osaka University;Yasuko Matsubara:SANKEN, Osaka University;Ren Fujiwara:SANKEN, Osaka University;Yasushi Sakurai:SANKEN, Osaka University | ||||||||||||||||||||
39 | 3 | rtfb0017 | February | Efficient Sphere-Effect Based Information Diffusion Prediction on Large-scale Social Networks | Zihan Feng:Tianjin University;Yajun Yang:Tianjin University;Xin Huang:Hong Kong Baptist University;Hong Gao:Zhejiang Normal University;Liping Jing:Beijing Jiaotong University;Qinghua Hu:Tianjin University | ||||||||||||||||||||
40 | 4 | rtfb0813 | February | Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach | Jialei Chen:MIC Lab, College of Computer Science and Technology, Jilin University;Yuanbo Xu:MIC Lab, College of Computer Science and Technology, Jilin University;Yiheng Jiang:MIC Lab, College of Computer Science and Technology, Jilin University | ||||||||||||||||||||
41 | 5 | rtfa0836 | August | Dynamic Causal Structure Discovery and Causal Effect Estimation | Jianian Wang:North Carolina State University;Rui Song:North Carolina State University | ||||||||||||||||||||
42 | 6 | rtfb0367 | February | Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment | Liangwei Nathan Zheng:The University of Adelaide;Chang Dong:The University of Adelaide;Wei Emma Zhang:The University of Adelaide;Lin Yue:The University of Adelaide;Miao Xu:The University of Queensland;Olaf Maennel:The University of Adelaide;Weitong Chen:The University of Adelaide | ||||||||||||||||||||
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44 | Wednesday, August 6 | 15:30-17:30 | |||||||||||||||||||||||
45 | THEME: | Spatio-Temporal Modeling 2 | |||||||||||||||||||||||
46 | SESSION CHAIR: | Zixuan Weng (University of Notre Dame) | |||||||||||||||||||||||
47 | 1 | rtfa0259 | August | Spatially Compact Dense Block Mining in Spatial Tensors | Weike Tang:College of Computer Science & Software Engineering, Shenzhen University;Dingming Wu:College of Computer Science & Software Engineering, Shenzhen University;Tsz Nam Chan:College of Computer Science & Software Engineering, Shenzhen University;Kezhong Lu:College of Computer Science & Software Engineering, Shenzhen University | ||||||||||||||||||||
48 | 2 | rtfb0029 | February | PuzzleTensor: A Method-Agnostic Data Transformation for Compact Tensor Factorization | Yong-chan Park:Seoul National University;Kisoo Kim:Seoul National University;U Kang:Seoul National University | ||||||||||||||||||||
49 | 3 | rtfb0075 | February | A Fast and Accurate Block Compression Solution for Spatiotemporal Kernel Density Visualization | Yue Zhong:College of Computer Science and Software Engineering, Shenzhen University;Tsz Nam Chan:College of Computer Science and Software Engineering, Shenzhen University;Leong Hou U:Department of Computer and Information Science, University of Macau;Dingming Wu:College of Computer Science and Software Engineering, Shenzhen University;Wei Tu:School of Architecture and Urban Planning, Shenzhen University;Ruisheng Wang:School of Architecture and Urban Planning, Shenzhen University;Joshua Zhexue Huang:College of Computer Science and Software Engineering, Shenzhen University | ||||||||||||||||||||
50 | 4 | rtfb1595 | February | Beyond Locations: A Motion Range-Aware Similarity Join | Ke Li:University of Electronic Science and Technology of China;Lisi Chen:University of Electronic Science and Technology of China;Shuo Shang:University of Electronic Science and Technology of China;Christian S. Jensen:Aalborg University;Panos Kalnis:King Abdullah University of Science and Technology | ||||||||||||||||||||
51 | 5 | rtfa0158 | August | ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction | Kaiwen Xia:Southeast University,JD Logistics;Li Lin:Southeast University;Shuai Wang:Southeast University;Qi Zhang:Southeast University;Shuai Wang:Southeast University;Tian He:JD Logistics | ||||||||||||||||||||
52 | 6 | rtfa0129 | August | Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning | Yifei Zhang:The Chinese University of Hong Kong;Hao Zhu:Data61/CSIRO;Menglin Yang:Yale University;Jiahong Liu:The Chinese University of Hong Kong;Rex Ying:Yale University;Irwin King:The Chinese University of Hong Kong;Piotr Koniusz:Data61?CSIRO,Australian National University | ||||||||||||||||||||
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54 | Thursday, August 7 | 08:15-10:15 | |||||||||||||||||||||||
55 | THEME: | Spatio-Temporal Modeling 3 | |||||||||||||||||||||||
56 | SESSION CHAIR: | John Paparrizos (The Ohio State University) | |||||||||||||||||||||||
57 | 1 | rtfa0824 | August | Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective | Yuchen Fang:University of Electronic Science and Technology of China;Yuxuan Liang:The Hong Kong University of Science and Technology (Guangzhou);Bo Hui:Auburn University;Zezhi Shao:Institute of Computing Technology, Chinese Academy of Sciences;Liwei Deng:University of Electronic Science and Technology of China;Xu Liu:National University of Singapore;Xinke Jiang:Peking University;Kai Zheng:University of Electronic Science and Technology of China | ||||||||||||||||||||
58 | 2 | rtfb1139 | February | Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs | Jiawen Chen:School of Mathematics, Southeast University;Qi Shao:School of Mathematics, Southeast University;Duxin Chen:School of Mathematics, Southeast University;Wenwu Yu:School of Mathematics, Southeast University | ||||||||||||||||||||
59 | 3 | rtfa0022 | August | AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting | Tengfei Lyu:The Hong Kong University of Science and Technology (Guangzhou);Weijia Zhang:The Hong Kong University of Science and Technology (Guangzhou);Jinliang Deng:The Hong Kong University of Science and Technology;Hao Liu:The Hong Kong University of Science and Technology (Guangzhou),The Hong Kong University of Science and Technology | ||||||||||||||||||||
60 | 4 | rtfb0794 | February | Fine-Grained Traffic Inference from Road to Lane via Spatio-Temporal Graph Node Generation | Shuhao Li:Fudan University,Shanghai Key Laboratory of Data Science;Weidong Yang:Fudan University,Zhuhai Fudan Innovation Research Institute;Yue Cui:The Hong Kong University of Science and Technology;Xiaoxing Liu:GZHU-SCHB Intelligent Transportation Joint Lab, Guangzhou University;Lingkai Meng:Shanghai Jiao Tong University;Lipeng Ma:Fudan University,Shanghai Key Laboratory of Data Science;Fan Zhang:GZHU-SCHB Intelligent Transportation Joint Lab, Guangzhou University | ||||||||||||||||||||
61 | 5 | rtfb0728 | February | Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning | Minbo Ma:Southwest Jiaotong University,FernUniversität in Hagen;Kai Tang:Southwest Jiaotong University;Huan Li:Zhejiang University;Fei Teng:Southwest Jiaotong University,Engineering Research Center of Sustainable Urban Intelligent Transportation, Ministry of Education;Dalin Zhang:Aalborg University;Tianrui Li:Southwest Jiaotong University,Engineering Research Center of Sustainable Urban Intelligent Transportation, Ministry of Education | ||||||||||||||||||||
62 | 6 | rtfa0272 | August | Dynamic Localisation of Spatial-Temporal Graph Neural Network | Wenying Duan:Jiangxi Provincial Key Laboratory of Intelligent Systems and Human-Machine Interaction, Nanchang University;Shujun Guo:School of Mathematics and Computer Sciences, Nanchang University;Zimu Zhou:School of Data Science, City University of Hong Kong;Wei Huang:School of Mathematics and Computer Sciences, Nanchang University;Hong Rao:School of Software, Nanchang University;Xiaoxi He:Faculty of Science and Technology, University of Macau | ||||||||||||||||||||
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64 | Thursday, August 7 | 13:00-15:00 | |||||||||||||||||||||||
65 | THEME: | Spatio-Temporal Modeling 4 | |||||||||||||||||||||||
66 | SESSION CHAIR: | Tsz Nam Chan (Shenzhen University) | |||||||||||||||||||||||
67 | 1 | rtfa0224 | August | Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction | Jiahao Ji:School of Computer Science and Engineering, Beihang University;Wentao Zhang:School of Computer Science and Engineering, Beihang University;Jingyuan Wang:SCSE, Beihang University,MIIT Key Laboratory of Data Intelligence and Management, SEM, Beihang University;Chao Huang:Department of Computer Science, Musketeers Foundation Institute of Data Science, University of Hong Kong | ||||||||||||||||||||
68 | 2 | rtfb2199 | February | SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting | Zixuan Weng:The Hong Kong University of Science and Technology (Guangzhou);Jindong Han:Academy of Interdisciplinary Studies, The Hong Kong University of Science and Technology;Wenzhao Jiang:The Hong Kong University of Science and Technology (Guangzhou);Hao Liu:The Hong Kong University of Science and Technology (Guangzhou),The Hong Kong University of Science and Technology | ||||||||||||||||||||
69 | 3 | rtfb0399 | February | Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation | Peiliang Gong:Nanjing University of Aeronautics and Astronautics;Yucheng Wang:Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR),Nanyang Technological University;Min Wu:Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR);Zhenghua Chen:Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR),Centre for Frontier AI Research, Agency for Science Technology and Research (A*STAR);Xiaoli Li:Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR),Centre for Frontier AI Research, Agency for Science Technology and Research (A*STAR);Daoqiang Zhang:Nanjing University of Aeronautics and Astronautics | ||||||||||||||||||||
70 | 4 | rtfb0812 | February | Utilizing Strategic Pre-training to Reduce Overfitting: Baguan - A Pre-trained Weather Forecasting Model | Peisong Niu:DAMO Academy, Alibaba Group;Ziqing Ma:DAMO Academy, Alibaba Group;Tian Zhou:DAMO Academy, Alibaba Group;Weiqi Chen:DAMO Academy, Alibaba Group;Lefei Shen:Computer Science and Technology, Zhejiang University;Rong Jin:DAMO Academy, Alibaba Group;Liang Sun:DAMO Academy, Alibaba Group | ||||||||||||||||||||
71 | 5 | rtfa0123 | August | CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events | Xiaojie Yang:The University of Tokyo;Hangli Ge:The University of Tokyo;Jiawei Wang:The University of Tokyo;Zipei Fan:School of Artificial Intelligence, Jilin University;Renhe Jiang:The University of Tokyo;Ryosuke Shibasaki:The University of Tokyo;Noboru Koshizuka:The University of Tokyo | ||||||||||||||||||||
72 | 6 | rtfb0830 | February | Urban Region Pre-training and Prompting: A Graph-based Approach | Jiahui Jin:School of Computer Science and Engineering, Southeast University;Yifan Song:School of Computer Science and Engineering, Southeast University;Dong Kan:School of Computer Science and Engineering, Southeast University;Haojia Zhu:School of Computer Science and Engineering, Southeast University;Xiangguo Sun:Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong;Zhicheng Li:School of Computer Science and Engineering, Southeast University;Xigang Sun:School of Computer Science and Engineering, Southeast University;Jinghui Zhang:School of Computer Science and Engineering, Southeast University | ||||||||||||||||||||
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