| May 10, 2024 (Friday) | |||||
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| 08:00-17:00 | Registration | ||||
| 09:00-10:00 | Keynote Speech 3 R101 Novel Challenges in Social Media Mining – Embracing LLMs (by Prof. Huan Liu) |
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| 10:00-10:20 | Coffee Break | ||||
| 10:20-12:00 | Session 5A R201D Medical, Bioinformatics, and Other Data I |
Session 5B R201E Recommender Systems I |
Session 5C R201C Spatial-Temporal Data I |
Session 5D R201B Time Series I |
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| 12:00-13:10 | Lunch | ||||
| 13:10-14:50 | Session 6A R201D Medical, Bioinformatics, and Other Data II |
Session 6B R201E Recommender Systems II |
Session 6C R201C Spatial-Temporal Data II |
Session 6D R201B Time Series II |
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| 14:50-15:10 | Coffee Break | ||||
| 15:10-16:50 | Session 7A R201D Medical, Bioinformatics, and Other Data III |
Session 7B R201E Multimedia and Multimodal Data |
Session 7C R201C Texts |
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| 16:50-17:20 |
Conference Closing Ceremony |
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| Session Name | Paper Information |
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| 5A Medical, Bioinformatics, and Other Data I Session Chair: Kuan-Ting Lai (National Taipei University of Technology) |
Weighted Chaos Game Representation For Molecular Sequence Classification Taslim Murad (Georgia State University); Sarwan Ali (Georgia State University)*; Murray D Patterson (Georgia State University) |
| A Universal Non-Parametric Approach For Improved Molecular Sequence Analysis Sarwan Ali (Georgia State University)*; Tamkanat E Ali (Lahore University of Management Sciences ); Prakash Chourasia (Georgia State University); Murray D Patterson (Georgia State University) |
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| Spatial Gene Expression Prediction Using Multi-Neighborhood Network with Reconstructing Attention Panrui Tang (Central South University)*; Zhang Zuping (Central South University); Cui Chen (CuiChen); Yubin Sheng (Central South University) |
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| Fast Edit Distance Prediction for all Pairs of Sequences in very Large NGS Datasets A K M Tauhidul Islam (Informatica Inc)*; Sakti Pramanik (Michigan State Univeresity) |
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| Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model Reda Khoufache (DAVID Lab, University of Versailles, Université Paris-Saclay)*; Anisse Belhadj ( Université Paris-Saclay); Hanene Azzag (Université Sorbonne Paris Nord); Mustapha Lebbah (DAVID Lab, University of Versailles, Université Paris-Saclay,) |
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Combating Quality Distortion in Federated Learning with Collaborative Data Selection |
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| 5B Recommender Systems ISession Chair: Hong-Han Shuai (National Yang Ming Chiao Tung University) |
Collaborative filtering in latent space: a Bayesian approach for cold-start music recommendation Menglin Kong (Central South University); Li Fan (Xi’an Jiaotong-Liverpool University); Shengze Xu (The Chinese University of Hong Kong); Xingquan Li (Minnan Normal University); Muzhou Hou (Central South University); Cong Cao (Central South University)* |
| ScaleViz: Scaling Visualization Recommendation Models on Large Data Ghazi Shazan Ahmad (IIIT Bangalore); Shubham Agarwal (Adobe Research); Subrata Mitra (Adobe Research)*; Ryan A. Rossi (Adobe Research); Manav K Doshi (IIT Bombay); Vibhor Porwal (Adobe Research); Syam Manoj Kumar Paila (IIT KGP) |
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| HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation Shereen Elsayed (University of Hildesheim)*; Ahmed Galal Ahmed Rashed (Volkswagen Financial Services); Lars Schmidt-Thieme (University of Hildesheim) |
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| Graph-based Dynamic Preference Modeling for Personalized Recommendation Jiaqi Wu (Nanjing University of Aeronautics and Astronautics); Yidan Xu (Nanjing University of Aeronautics and Astronautics); BoWen Zhang (Nanjing University of Aeronautics and Astronautics); Zekun Xu (Nanjing University of Aeronautics and Astronautics); Bohan Li (Nanjing University of Aeronautics and Astronautics)* |
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Multi-sourced Integrated Ranking with Exposure Fairness |
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| Personalized EDM Subject Generation via Co-Factored User-Subject Embedding Yu-Hsiu Chen (National Chiao Tung University); Zhi Rui Tam (National Chiao Tung University); Hong-Han Shuai (National Yang Ming Chiao Tung University)* |
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| 5C Spatial-Temporal Data I Session Chair: RAGE Uday Kiran (The University of Aizu) |
Mask Adaptive Spatial-Temporal Recurrent Neural Network for Traffic Forecasting Xingbang Hu (Harbin Institute of Technology (Shenzhen)); Shuo Zhang (HIT); Hejiao Huang (Harbin Institute of Technology (Shenzhen))* |
| Spatial-Temporal Bipartite Graph Attention Network for Traffic Forecasting Dimuthu Lakmal (University of Melbourne)*; Kushani Perera (University of Melbourne); Renata Borovica-Gajic (University of Melbourne); Shanika Karunasekera (The University of Melbourne, Australia) |
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| MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles Bingru Han (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences)*; Juanjuan Zhao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Xitong Gao (Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences); Kejiang Ye (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences); Fan Zhang (Shenzhen Insititute of Beidou Applied Technology Co., Ltd) |
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| Enhanced HMM Map Matching Model Based on Multiple Type Trajectories Yuchen Song (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences)*; Juanjuan zhao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Xitong Gao (Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences); Fan Zhang (Shenzhen Insititute of Beidou Applied Technology Co., Ltd); Kejiang Ye (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences) |
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| Attention Mechanism based Multi-Task Learning Framework for Transportation Time Prediction Miaomiao Yang (East China Normal University); Tao Wu (East China Normal University); Jiali Mao (East China Normal University)*; Kaixuan Zhu (East China Normal University); Aoying Zhou (East China Normal University) |
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A Multimodal and Multitask Approach for Adaptive Geospatial Region Embeddings |
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| 5D Time Series ISession Chair: Ya-Wen Teng (Academia Sinica) |
Evolving Super Graph Neural Networks for Large-scale Time-Series Forecasting Hongjie Chen (Virginia Tech); Ryan A. Rossi (Adobe Research); Kanak Mahadik (Adobe Research); Sungchul Kim (Adobe); Hoda Eldardiry (Virginia Tech)* |
| Kernel Representation Learning with Dynamic Regime Discovery for Time Series Forecasting Kunpeng Xu (University of Sherbrooke)*; Lifei Chen (Fujian Normal University); Jean-Marc Patenaude (Laplace Insights); Shengrui Wang (University of Sherbrooke) |
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| Hyperparameter Tuning MLP’s for Probabilistic Time Series Forecasting Kiran Madhusudhanan (University of Hildesheim)*; Shayan Jawed (University of Hildesheim); Lars Schmidt-Thieme (University of Hildesheim) |
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| Efficient and Accurate Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification Wenjie Xi (George Mason University)*; Arnav Jain (Thomas Jefferson High School for Science and Technology); Li Zhang (University of Texas Rio Grande Valley); Jessica Lin (George Mason University) |
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FR3LS: a Forecasting model with Robust and Reduced Redundancy Latent Series |
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| Multi-Time Window Ensemble and Maximization of Expected Return for Stock Movement Prediction Kanghyeon Seo (Sogang University)*; Seungjae Lee (Sogang University); Woo Jin Cho (Semyung University); Yoojeong Song (Semyung University); Jihoon Yang (Sogang University) |
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| 6A Medical, Bioinformatics, and Other Data IISession Chair: Yi-Ling Chen (National Taiwan University of Science and Technology) |
Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation Xiaohui Chen (Missouri University of Science and Technology); Tie Luo (Department of Computer Science, Missouri University of Science and Technology)* |
| Dfp-Unet: A Biomedical Image Segmentation Method Based on Deformable Convolution and Feature Pyramid Zengzhi Yang (Xiamen University); Yubin Wei (Xiamen University); Xiao Yu (Xiamen University); Jinting Guan (Xiamen University)* |
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| APFL: Active-Passive Forgery Localization for Medical Image Nan Wang (Nankai University)*; Shi Jiaqi (Nankai Univerisity); Liping Yi (Nankai University); Wang Gang (Nankai Univerisity); Ming Su (Nankai Univerisity); Liu Xiaoguang (Nankai Univerisity) |
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| Robust Influence-based Training Methods for Noisy Brain MRI Minh-Hao Van (University of Arkansas)*; Alycia N Carey (University of Arkansas); Xintao Wu (University of Arkansas) |
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| MvRNA: A New Multi-view Deep Neural Network for Predicting Parkinson’s Disease Lin Chen (School of Computing and Artificial Intelligence, Southwest Jiaotong University); Yuxin Zhou (School of Computing and Artificial Intelligence, Southwest Jiaotong University); Xiaobo Zhang (School of Computing and Artificial Intelligence, Southwest Jiaotong University)*; Zhehao Zhang (School of Computing and Artificial Intelligence, Southwest Jiaotong University); Hailong Zheng (School of Computing and Artificial Intelligence Southwest Jiaotong University) |
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Material Microstructure Design Using VAE-Regression with a Multimodal Prior |
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| 6B Recommender Systems IISession Chair: Won-Yong Shin (Yonsei University) |
On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises Ludwig M. Zellner (LMU Munich)*; Simon Rauch (LMU Munich); Janina Sontheim (LMU Munich); Thomas Seidl (LMU Munich) |
| Dual-Graph Convolutional Network and Dual-View Fusion for Group Recommendation Chenyang Zhou (Shanghai University); Guobing Zou (Shanghai University)*; Shengxiang Hu (Shanghai University); Hehe Lv (Shanghai University); Liangrui Wu (Shanghai University); Bofeng Zhang (Shanghai Polytechnic University) |
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| Residual Spatio-Temporal Collaborative Networks for Next POI Recommendation Yonghao Huang (Chongqing University of Technology)*; Pengxiang Lan (Northestern University); Xiaokang Li (Chongqing University of Technology); Yihao Zhang (Chongqing University of Technology); Kaibei Li (Chongqing University of Technology) |
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| Towards Multi-Subsession Conversational Recommendation Yu Ji (Tongji University)*; Qi Shen (Tongji University); Shixuan Zhu (Tongji University); Hang Yu (Tongji University); Yiming Zhang (Tongji University); Chuan Cui (Tongji University); Zhihua Wei (Tongji University) |
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False Negative Sample Aware Negative Sampling for Recommendation |
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| UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering Lei Pan (National Tsing Hua University)*; Von-Wun Soo (Chang Gung University) |
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| 6C Spatial-Temporal Data IISession Chair: Ya-Wen Teng (Academia Sinica) |
Multi-Modal Recurrent Graph Neural Networks for Spatiotemporal Forecasting Nicholas H Majeske (Indiana University)*; Ariful Azad (Intelligent System Engineering, Indiana University,Bloomington,IN) |
| STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction Kishor Kumar Bhaumik (Sungkyunkwan University)*; Fahim Faisal Niloy (University of California, Riverside); Saif Mahmud (Cornell University); Simon S Woo (Sungkyunkwan University (SKKU)) |
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| FMSYS: Fine-grained Passenger Flow Monitoring in a Large-scale Metro System Based on AFC Smart Card Data Li Sun (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences)*; Juanjuan Zhao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Fan Zhang (Shenzhen Insititute of Beidou Applied Technology Co., Ltd); Rui Zhang (Shenzhen Insititute of Beidou Applied Technology Co., Ltd); Kejiang Ye (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences) |
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| GSPM: An Early Detection Approach to Sudden Abnormal Large Outflow in a Metro System Li Sun (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences)*; Juanjuan Zhao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Fan Zhang (Shenzhen Insititute of Beidou Applied Technology Co., Ltd); Kejiang Ye (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences) |
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Recovering Population Dynamics from a Single Point Cloud Snapshot |
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| Localization through Deep Learning in New and Low Sampling Rate Environments Thanh Dat Le (University of North Texas)*; Yan Huang (University of North Texas) |
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| 6D Time Series IISession Chair: Heitor Murilo Gomes (Victoria University of Wellington) |
Saliency-aware Time Series Anomaly Detection for Space Applications Sangyup Lee (Sungkyunkwan University); Simon S Woo (Sungkyunkwan University (SKKU))* |
| Unlearnable Examples For Time Series Yujing Jiang (University of Melbourne)*; Xingjun Ma (Fudan University); Sarah Erfani (University of Melbourne); James Bailey (THE UNIVERSITY OF MELBOURNE) |
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| Learning Disentangled Task-Related Representation for Time Series Liping Hou (University of Chinese Academy of Sciences); Lemeng Pan (Huawei)*; Yicheng Guo (Huawei); Cheng Li (Huawei Technologies); Lihao Zhang (Huawei) |
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Local Subsequence-based Distribution for Time Series Clustering |
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| DiffFind: Discovering Differential Equations from Time Series Lalithsai Posam (Evergreen Valley High School); Shubhranshu Shekhar (Brandeis University)*; Meng-Chieh Lee (Carnegie Mellon University); Christos Faloutsos (CMU) |
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| 7A Medical, Bioinformatics, and Other Data IIISession Chair: Jen-Wei Huang (National Cheng Kung University) |
ACHIM: Adaptive Clinical Latent Hierarchy Construction and Information Fusion Model for Healthcare Knowledge Representation Gaohong Liu (Institute of Computing Technology, Chinese Academy of Sciences)*; Jian Ye (Institute of Computing Technology, CAS); Borong Wang (Institute of Computing Technology, Chinese Academy of Sciences) |
| BioReX: Biomarker Information Extraction Inspired by Aspect-Based Sentiment Analysis Weiting Gao (NJIT)*; Xiangyu Gao (New Jersey Institute of Technology); Wenjin Chen (Rutgers Cancer Institute of New Jersey); David Foran (Rutgers Cancer Institute of New Jersey); Yi Chen (NJIT) |
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| A Novel Population Graph Neural Network Based on Functional Connectivity for Mental Disorders Detection Yuheng Gu (Ningbo University); Shoubo Peng (Ningbo University); Yaqin Li (Ningbo university); Yihong Dong (Ningbo University)* |
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| Co-ReaSON: EEG-based Onset Detection of Focal Epileptic Seizures with Multimodal Feature Representations Uttam Kumar (DSIS Research Group, University of Bonn)*; Ran Yu (DSIS Research Group, University of Bonn); Michael Wenzel (Dept. of Epileptology, Bonn University Medical Center); Elena Demidova (DSIS Research Group, University of Bonn and Lamarr Institute) |
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Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data |
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| 7B Multimedia and Multimodal DataSession Chair: Kuan-Ting Lai (National Taipei University of Technology) |
Using Multimodal Data to Improve Precision of Inpatient Event Timelines Gabriel Frattallone-Llado (Universidad de Puerto Rico); Juyong Kim (Carnegie Mellon University); Cheng Cheng (Carnegie Mellon University); Diego Salazar (National Library of Medicine); Smitha Edakalavan (University of Pittsburgh); Jeremy C Weiss (National Library of Medicine)* |
| Geometrically-Aware Dual Transformer Encoding Visual and Textual Features for Image Captioning Yu-Ling Chang (National Cheng Kung University); Hao-Shang Ma (National Taichung University of Science and Technology)*; Shiou-Chi Li (National Cheng Kung University); Jen-Wei Huang (National Cheng Kung University) |
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| Transformer based Multitask Learning for Image Captioning and Object Detection Debolena Basak (Indian Institute of Technology Hyderabad)*; Srijith PK (IIT, Hyderabad, India); Maunendra Sankar Desarkar (IIT Hyderabad) |
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| StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN Andrzej Bedychaj (Jagiellonian University)*; Jacek Tabor (Jagiellonian University); Marek Smieja (Jagiellonian University) |
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| MLT-Trans: Multi-level token Transformer for Hierarchical Image Classification Tanya Boone Sifuentes (Deakin University)*; Asef Nazari (Deakin University); Mohamed Reda Bouadjenek (Deakin University); Imran Razzak (UNSW) |
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A Novel SegNet model for Crack Image Semantic Segmentation in Bridge Inspection |
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| 7C Texts Session Chair: Cheng-Te Li (National Cheng Kung University) |
How Large Corpora Sizes Influence the Distribution of Low Frequency Text n-grams Joaquim Silva (NOVA LINCS, Faculdade de Ciencias e Tecnologia, Universidade Nova de Lisboa)*; Jose Cunha (NOVA LINCS, Faculdade de Ciencias e Tecnologia, Universidade Nova de Lisboa) |
| Path-Aware Cross-Attention Network for Question Answering Ziye Luo (Harbin institution of technology); Ying Xiong (Harbin Institute of Technology, Shenzhen); Buzhou Tang (Harbin Institute of Technology, Shenzhen)* |
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| LongStory: Coherent, Complete and Length Controlled Long story Generation Kyeongman Park (Seoul National University)*; Nakyeong Yang (Seoul National University); Kyomin Jung (Seoul National University) |
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| KiProL: A Knowledge-Injected Prompt Learning Framework for Language Generation Yaru Zhao (Beijing University of Posts and Telecommunications)*; Bo Cheng (Beijing University of Posts and Telecommunications); Yakun Huang (Beijing University of Posts and Telecommunications) |
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| An Automated Approach for Generating Conceptual Riddles Niharika Sri Parasa (IIITB)*; Chaitali Diwan (IIIT Bangalore); Srinath Srinivasa (IIIT Bangalore); Prasad Ram (Gooru) |
