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Accepted Papers

Accepted Papersadmin2024-04-26T12:20:42+00:00
  • Oral Presentation

  • Poster Presentation

  • Oral Presentation

Paper Title Author Names
Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal Chih-Chia Li (National Yang Ming Chiao Tung University); Wei-Yao Wang (National Yang Ming Chiao Tung University)*; Wei-Wei Du (Sony); Wen-Chih Peng (NYCU)
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)
AdaPQ: Adaptive Exploration Product Quantization with Adversary-aware Block Size Selection Toward Compression Efficiency Yan-Ting Ye (National Taiwan University)*; Ting-An Chen (National Taiwan University); Ming-Syan Chen (National Taiwan 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)
Enhancing Network Role Modeling: Introducing Attributed Multiplex Structural Role Embedding for Complex Networks Lili Wang (Dartmouth College)*; Chenghan Huang (Millennium Management Llc); Ruiye A Yao (Penn State University); Chongyang Gao (Northwestern University); Weicheng Ma (Dartmouth College); Soroush Vosoughi (Dartmouth College)
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)
Ranking Enhanced Supervised Contrastive Learning for Regression Ziheng Zhou (Tsinghua University); Ying Zhao (” Tsinghua University, China”)*; Haojia Zuo (Tsinghua University); Wenguang Chen (Tsinghua University)
QWalkVec: Node Embedding by Quantum Walk Rei Sato (KDDI Research, Inc.)*; Shuichiro Haruta (KDDI Research, Inc.); Kazuhiro Saito (KDDI Research, Inc.); Mori Kurokawa (KDDI Research, Inc.)
Streaming Fair $k$-Center Clustering over Massive Dataset with Performance Guarantee Zeyu Lin (Fuzhou University); Longkun Guo (Fuzhou University;Chinese Academy of Sciences Shenzhen Advanced Technology Academe)*; Chaoqi Jia (RMIT University)
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)
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)
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)*
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))*
Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation Jiaqi Wang (Penn State University)*; Yuzhong Chen (Visa research ); Yuhang Wu (Visa Inc.); Mahashweta Das (Visa Research); Hao Yang (Visa Research); Fenglong Ma (Pennsylvania State University)
Improving Anti-Money Laundering via Fourier-based Contrastive Learning Meihan Tong (China National Clearing Center; Tsinghua University)*; Shuai Wang (Hashkey Tech); XinYu Chen (China National Clearing Center); Jinsong Bei (China National Clearing Center)
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)
A New Loss for Image Retrieval: Class Anchor Margin Alexandru Ghita (University of Bucharest); Radu Tudor Ionescu (University of Bucharest)*
DEAL: Data-Efficient Active Learning for regression under drift Bela Hraban Böhnke (Karlsruher Institut für Technologie (KIT))*; Edouard Fouché (Karlsruhe Institute of Technology (KIT)); Klemens Böhm (Karlsruhe Institute of Technology (KIT))
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)
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)*
Clustering-friendly Representation Learning for Enhancing Salient Features toshiyuki oshima (Toshiba Corporation)*; Kentaro Takagi (Toshiba Corporation); Kouta Nakata ( Toshiba Corporation )
Adversarial Learning of Group and Individual Fair Representations Hao Liu (Hong Kong University of Science and Technology)*; Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)
A Novel SegNet model for Crack Image Semantic Segmentation in Bridge Inspection Rong Pang (Southwest Jiaotong University)*; Hao Tan (Chongqing Universtiy); Yan Yang (Southwest Jiaotong University); Xun Xu (I2R, A*STAR); Nanqing Liu (Southwest Jiaotong University); Peng Zhang (China Merchants Chongqing Road Engineering Inspection Center Co., Ltd.)
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)
ImMC-CSFL: Imbalanced Multi-view Clustering Algorithm Based On Common-Specific Feature Learning Xiaocui Li (Huazhong University of Science and Technology)*; Yu Xiao (Hunan University of Technology and Business); Xinyu Zhang (Hunan University Of Technology and Business); Qingyu Shi (Hunan University of Technology and Business); Xiance Tang (Hunan University Of Technology and Business)
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)
Query-decision Regression between Shortest Path and Minimum Steiner Tree Guangmo Tong (University of Delaware)*; Peng Zhao (University of Delaware); Mina Samizadeh (University of Delaware)
Towards Nonparametric Topological Layers in Neural Networks Gefei Shen (University of Washingtong); Dongfang Zhao (University of Washington)*
Projection-Free Bandit Convex Optimization over Strongly Convex Sets Chenxu Zhang (Zhejiang University); Yibo Wang (Nanjing University); Peng Tian (State Grid Chongqing Electric Power Company); Xiao Cheng (State Grid Chongqing Electric Power Research Institute); Yuanyu Wan (Zhejiang University)*; Mingli Song (Zhejiang University)
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)
Semantic Completion: Enhancing Image-Text Retrieval with Information Extraction and Compression Xue Chen (East China University of Science and Technology)*; Yi Guo (ecust)
AutoClues: Exploring Clustering Pipelines via AutoML and Diversification Matteo Francia (DISI – University of Bologna); Joseph Giovanelli (University of Bologna)*; Matteo Golfarelli (DISI – University of Bologna)
Conditional Denoising Diffusion for Sequential Recommendation Yu Wang (UIC)*; Zhiwei Liu (Salesforce); Liangwei Yang (University of Illinois at Chicago); Philip S Yu (UIC)
Enhancing Policy Gradient for Traveling Salesman Problem with Data Augmented Behavior Cloning yunchao zhang (Qilu University of Technology); Kewen Liao (Australian Catholic University); Zhibin Liao (University of Adelaide); Longkun Guo (Fuzhou University;Chinese Academy of Sciences Shenzhen Advanced Technology Academe)*
Leveraging Transfer Learning for Enhancing Graph Optimization Problem Solving Hui-Ju Hung (Pennsylvania State University)*; Wang-Chien Lee (Pennsylvania State University); Chih-Ya Shen (National Tsing Hua University); Fang He (Pennsylvania State University); Zhen Lei (Pennsylvania State University)
Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data Arash Hajisafi (University of Southern California)*; Haowen Lin (University of Southern California); Yao-Yi Chiang (University of Minnesota); Cyrus Shahabi (Computer Science Department. University of Southern California)
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering Lei Pan (National Tsing Hua University)*; Von-Wun Soo (Chang Gung 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)
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)*
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)*
GViG: Generative Visual Grounding using Prompt-based Language Modeling for Visual Question Answering Yi-Ting Li (National Cheng Kung University)*; Ying-Jia Lin (National Cheng Kung University); Chia-Jen Yeh (National Cheng Kung University); ChunYi Lin (NCKU); Hung-Yu Kao (National Cheng Kung University)
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)
Weighted Chaos Game Representation For Molecular Sequence Classification Taslim Murad (Georgia State University); Sarwan Ali (Georgia State University)*; Murray D Patterson (Georgia State University)
Enhancing Continuous Domain Adaptation with Multi-Path Transfer Curriculum Hanbing Liu (Tsinghua University); Jingge Wang (Tsinghua University); Xuan Zhang (Tsinghua University); Ye Guo (Tsinghua Shenzhen International Graudate School); Yang Li (Tsinghua-Berkeley Shenzhen Institute, Tsinghua University)*
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)
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)
SASBO: Sparse Attack via Stochastic Binary Optimization Yihan Meng (Department of Computer Science and Technology, Nanjing University, Nanjing 210023, China)*; Weitao Li (Department of
Computer Science and Technology ,Nanjing
University,Nanjing 210023,China); Lin Shang (Nanjing University)
Multi-Agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations Lo Pang-Yun Ting (National Cheng Kung University); Chi-Chun Lin (National Cheng Kung University); Shih-Hsun Lin (National Cheng Kung University); Yu-Lin Chu (National Cheng Kung University); Kun-Ta Chuang (National Cheng Kung University)*
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)
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)*
StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN Andrzej Bedychaj (Jagiellonian University)*; Jacek Tabor (Jagiellonian University); Marek Smieja (Jagiellonian University)
Quantifying Opinion Rejection: A Method to Detect Social Media Echo Chambers Kushani Perera (University of Melbourne)*; Shanika Karunasekera (The University of Melbourne, Australia)
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)
SD-Attack: Targeted Spectral Attacks on Graphs Xianren Zhang (University of Cincinnati)*; Jing Ma (Case Western Reserve University); Yushun Dong (University of Virginia); Chen Chen (University of Virginia); Min Gao (Chongqing University); Jundong Li (University of Virginia)
MSTAN: A Multi-view Spatio-Temporal Aggregation Network Learning Irregular Interval User Activities for Fraud Detection Wenbo Zhang (Harbin Institute of Technology (Shenzhen)); Shuo Zhang (HIT); Xingbang Hu (Harbin Institute of Technology (Shenzhen)); Hejiao Huang (Harbin Institute of Technology (Shenzhen))*
LEMT: A Label Enhanced Multi-task Learning Framework for Malevolent Dialogue Response Detection Kaiyue Wang (Soochow University)*; Yang Fan (Soochow University); Yucheng Yao (Soochow University); Xiabing Zhou (soochow university)
False Negative Sample Aware Negative Sampling for Recommendation Liguo Chen (College of Computer Science, Chongqing University); Zhigang Gong (Chongqing University); Hong Xie (University of Science and Technology of China)*; Mingqiang Zhou (College of Computer Science, Chongqing University)
Improving Structural and Semantic Global Knowledge in Graph Contrastive Learning with Distillation mi wen (Shanghai University of Electric Power); Hongwei Wang (Shanghai University of Electirc Power)*; yunsheng xue (Shanghai University of Electric Power); yi wu (State Grid Shanghai Electric Power Co.,Ltd); hong wen (University of Electronic Science and Technology of China)
Modeling Treatment Effect with Cross-Domain Data Bin Han (Ant Group); Ya-Lin Zhang (Ant Group)*; Lu Yu (Ant Group); Biying Chen (Ant Group); longfei li (Ant Financial Services Group ); Jun Zhou (Ant Services Group)
Multi-Task Contrastive Learning for Anomaly Detection on Attributed Networks Junjie Zhang (Harbin Institute of Technology, Shenzhen)*; Yuxin Ding (Harbin Institute of Technolgoy (Shenzhen))
SEE: Spherical Embedding Expansion for Improving Deep Metric Learning Binh M. Le (Sungkyunkwan University); Simon S Woo (Sungkyunkwan University (SKKU))*
Multi-sourced Integrated Ranking with Exposure Fairness Yifan Liu (Shanghai Jiao Tong University)*; Weiwen Liu (Huawei Noah’s Ark Lab); Wei Xia (Huawei Noah’s Ark Lab); Jieming Zhu (Huawei Noah’s Ark Lab); Weinan Zhang (Shanghai Jiao Tong University); Zhenhua Dong (Huawei Noah’s Ark Lab); Yang Wang (East China Normal University); Ruiming Tang (Huawei Noah’s Ark Lab); Rui Zhang (ruizhang.info); Yong Yu (Shanghai Jiao Tong University)
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 (南京航空航天大学); Zekun Xu (Nanjing University of Aeronautics and Astronautics); Bohan Li (Nanjing University of Aeronautics and Astronautics)*
LEAF: A Less Expert Annotation Framework with Active Learning Maoliniyazi Aishan (Renmin University)*; Chaohong Ma (Renmin University of China); yingtao peng (renmin university of china); Xiaofeng Meng (Renmin University of China)
Communicative and Cooperative Learning for Multi-agent Indoor Navigation Fengda Zhu (Monash)*; Vincent CS S Lee (Monash University); Rui Liu (University Technology of Sydney)
Two-Stage Knowledge Graph Completion based on Semantic Features and High-Order Structural Features shimei luo (tianjin university)*
FR3LS: a Forecasting model with Robust and Reduced Redundancy Latent Series Abdallah Aaraba (Université de Sherbrooke)*; Shengrui Wang (University of Sherbrooke); Jean-Marc Patenaude (Laplace Insights)
Localization through Deep Learning in New and Low Sampling Rate Environments Thanh Dat Le (University of North Texas)*; Yan Huang (University of North Texas)
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)
Adaptive Prediction Interval for Data Stream Regression Yibin Sun (University of Waikato)*; Bernhard Pfahringer (University of Waikato); Albert Bifet (University of Waikato); Heitor M Gomes (Victoria University of Wellington)
Multi-Modal Recurrent Graph Neural Networks for Spatiotemporal Forecasting Nicholas H Majeske (Indiana University)*; Ariful Azad (Intelligent System Engineering, Indiana University,Bloomington,IN)
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)
Instance-Ambiguity Weighting for Multi-Label Recognition with Limited Annotations Daniel Shrewsbury (Korea University)*; Suneung Kim (Korea university); Young Eun Kim (Korea university); Heejo Kong (Korea university); Seong-Whan Lee (Korea University)
Chaotic Neural Oscillators with Deep Graph Neural Network for Node Classification Le Zhang (BNU-HKBU United International College); Raymond S.T. Lee (Beijing Normal University-Hong Kong Baptist University United International College)*
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)
DALLMi: Domain Adaption for LLM-based Multi-label Classifier Miruna L Betianu (TU Delft); Marco Aldinucci (University of Turin); Robert Birke (University of Torino); Lydia Chen (TU Delft)*; Abele Mălan (TU Delft)
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)
Local Subsequence-based Distribution for Time Series Clustering Lei Gong (Nanjing University)*; Hang Zhang (Nanjing University); Zongyou Liu (Nanjing University); Kai Ming Ting (Nanjing University); Yang Cao (Deakin University); YE ZHU (Deakin University)
Alleviating Over-Smoothing via Aggregation over Compact Manifolds Zhou Dongzhuoran (Bosch Center for Artificial Intelligence)*; Hui Yang (Laboratoire Interdisciplinaire des Sciences du Numérique); Bo Xiong (University of Stuttgart); Yue Ma (LRI); Evgeny Kharlamov (Bosch Center for Artificial Intelligence)
Meta-Reinforcement Learning Algorithm Based on Reward and Dynamic Inference Jinhao Chen (Beijing University of Posts and Telecommunications); Chunhong Zhang (Beijing University of Posts and Telecommunications); Zheng Hu (Beijing University of Posts and Telecommunications)*
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)
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)
Accurate Semi-supervised Automatic Speech Recognition via Multi-hypotheses-based Curriculum Learning Junghun Kim (Seoul National University); Ka Hyun Park (Seoul National University); U Kang (Seoul National University)*
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)
Random Mask Perturbation Based Explainable Method of Graph Neural Networks Xinyue Yang (Beijing University of Posts and Telecommunications); Hai Huang (Beijing University of Posts and Telecommunications)*; Xingquan Zuo (Beijing University of Posts and Telecommunications)
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)
Layer-Wise Sparse Training of Transformer via Convolutional Flood Filling Gordon E Moon (Sogang University)*; Bokyeong Yoon (Sogang University); Yoonsang Han (Sogang University)
RouteExplainer: An Explanation Framework for Vehicle Routing Problem Daisuke Kikuta (NTT Corporation)*; Hiroki Ikuchi (NTT Corporation); Kengo Tajiri (NTT Corporation); Yuusuke Nakano (NTT)
Are Graph Embeddings the Panacea? – an Empirical Survey from the Data Fitness Perspective QIANG SUN (University of Western Australia)*; Wei Liu (University of Western Australia); Du Q Huynh (The University of Western Australia); Mark Reynolds (University of Western Australia)
A Multimodal and Multitask Approach for Adaptive Geospatial Region Embeddings Rajjat Dadwal (DSIS Research Group, University of Bonn)*; Ran Yu (DSIS Research Group, University of Bonn); Elena Demidova (DSIS Research Group, University of Bonn and Lamarr Institute)
On the efficient Explanation of Outlier Detection Ensembles through Shapley Values Simon Klüttermann (TU Dortmund)*; Chiara Balestra (TU Dortmund); Emmanuel Müller (TU Dortmund)
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)
DQAC: Detoxifying Query Auto-Completion with Adapters Aishwarya Maheswaran (IIT Hyderabad)*; Kaushal Kumar Maurya (IIT Hyderabad); Manish Gupta (Microsoft,India); Maunendra Sankar Desarkar (IIT Hyderabad)
Improving Knowledge Tracing via Considering Students’ Interaction Patterns Shilong Shu (Nanjing Normal University)*; Liting Wang (Nanjing Normal University); Junhua Tian (Nanjing Normal University)
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)
Learning to Rank Based on Choquet Integral: Application to Association Rules Charles Vernerey (TASC (LS2N-CNRS), IMT Atlantique); Noureddine Aribi (University of Oran); Samir Loudni (TASC (LS2N-CNRS), IMT Atlantique)*; Yahia Lebbah (University Oran1); Nassim Belmecheri (SIMULA)
Towards Cost-Efficient Federated Multi-Agent RL with Learnable Aggregation Yi Zhang (The University of Queensland); Sen Wang (The University of Queensland); Zhi Chen (The University of Queensland); Xuwei Xu (The University of Queensland); Stano Funiak (CSIRO); Jiajun Liu (CSIRO)*
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)
Class ratio and its implications for reproducibility and performance in record linkage Jeremy Foxcroft (University of Guelph)*; Luiza Antonie (University of Guelph); Peter Christen (Australian National University)
Interpreting Pretrained Language Models via Concept Bottlenecks Zhen Tan (Arizona State University)*; Lu Cheng (University of Illinois Chicago); Song Wang (University of Virginia); Bo Yuan (Zhejiang University); Jundong Li (University of Virginia); Huan Liu (Arizona State University)
Recovering Population Dynamics from a Single Point Cloud Snapshot Yuki Wakai (Kyoto University)*; Koh Takeuchi (Kyoto Univerisity); Hisashi Kashima (Kyoto University)
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)
An Automated Approach for Generating Conceptual Riddles Niharika Sri Parasa (IIITB)*; Chaitali Diwan (IIIT Bangalore); Srinath Srinivasa (IIIT Bangalore); Prasad Ram (Gooru)
Backdoor Attack against One-Class Sequential Anomaly Detection Models He Cheng (Utah State University)*; Shuhan Yuan (Utah State University)
Graph Neural Network Approach to Semantic Type Detection in Tables Ehsan Hoseinzade (Simon Fraser University)*; Ke Wang (SFU)
SAWTab: Smoothed Adaptive Weighting for Tabular Data in Semi-Supervised Learning Morteza Mohammady Gharasuie (Old Dominion University)*; Fengjiao Wang (University of Utah); Omar Sharif (Old Dominion University); Ravi Mukkamala (Old Dominion University)
LongStory: Coherent, Complete and Length Controlled Long story Generation Kyeongman Park (Seoul National University)*; Nakyeong Yang (Seoul National University); Kyomin Jung (Seoul National University)
Material Microstructure Design Using VAE-Regression with a Multimodal Prior Avadhut Sardeshmukh (Tata Consultancy Services)*; Sreedhar Reddy (Tata Consultancy Services); B P Gautham (Tata Consultancy Services); Pushpak Bhattacharya (IIT Bombay)
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 )
TFAugment: A Key Frequency-Driven Data Augmentation Method for Human Activity Recognition Hao Zhang (Changsha University of Science and Technology); Bixiao Zeng (University of Chinese Academy of Sciences); Mei Kuang (Changsha University of Science and Technology); Xiaodong Yang (Institute of Computing Technology, Chinese Academy of Sciences)*; Hongfang Gong (Changsha University of Science and Technology)
MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading Xi Cheng (Institute of Automation, Chinese Academy of Sciences)*; Jinghao Zhang (CRIPAC, NLPR, CASIA); Yunan Zeng (CASIA); Wenfang Xue (Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science)
MDAN: Multi-distribution adaptive networks for LTV prediction Wenshuang Liu (Tencent)*; Guoqiang Xu (Tencent); Cunxiang Yin (Tencent); xinji luo (Tencent)
Lil’HDoC: An Algorithm for Good Arm Identification under Small Threshold Gap Tzu-Hsien Tsai (National Taiwan University); Yun-Da Tsai (National Taiwan University)*; Shou-De Lin (NTU)
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)
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)*
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)
Saliency-aware Time Series Anomaly Detection for Space Applications Sangyup Lee (Sungkyunkwan University); Simon S Woo (Sungkyunkwan University (SKKU))*
Relation-Aware Label Smoothing for Self-KD Jeongho Kim (KAIST); Simon S Woo (Sungkyunkwan University (SKKU))*
Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference Man-Jie Yuan (Nanjing University)*; Zheng Zou (School of Artificial Intelligence, Nanjing University); Wei Gao (Nanjing University)
IR Embedding Fairness Inspection via Contrastive Learning and Human-AI Collaborative Intelligence Heng Huang (Xiaohongshu)*; Yunhan Bai (Xiaohongshu); Hongwei Liang (Xiaohongshu); Xiaozhong Liu (Worcester Polytechnic Institute)
Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis S M Rafiuddin (Oklahoma State University)*; Mohammed Rakib (Oklahoma State University); Sadia Kamal (Oklahoma State University); Arunkumar Bagavathi (Oklahoma State University)
A Weighted Cross-Modal Feature Aggregation Network for Rumor Detection Jia Li (Guangdong University of Technology)*; Zihan Hu (Guangdong University of Technology); Zhenguo Yang (Guangdong University of Technology); Lap-Kei Lee (Hong Kong Metopolitan University); Fu Lee Wang (Hong Kong Metropolitan University)
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,)
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)
Re-thinking Human Activity Recognition with Hierarchy-aware Label Relationship Modeling Jingwei ZUO (Technology Innovation Institute)*; Hakim Hacid (TII)
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)
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))
SemPool: Simple, robust, and interpretable KG pooling for enhancing language models Costas Mavromatis (University of Minnesota)*; Petros K Karypis (UC San Diego); George Karypis (University of Minnesota, Twin Cities)
Combating Quality Distortion in Federated Learning with Collaborative Data Selection Long Duc Nguyen (Hanoi University of Science and Technology (HUST)); Phi Le Nguyen (Hanoi University of Science and Technology); Truong Thao Nguyen (National Institute of Advanced Industrial Science and Technology (AIST))*
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)*
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)*
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering Siamak Ghodsi (Leibniz University of Hannover; Free University Berlin)*; Seyed Amjad Seyedi (University of Kurdistan); Eirini Ntoutsi (Bundeswehr University Munich)
Agent-based Simulation of Decision-making under Uncertainty to Study Financial Precarity Pegah Nokhiz (Brown University)*; Aravinda Kanchana Ruwanpathirana (University of Utah); Neal Patwari (Washington University in St. Louis); Suresh Venkatasubramanian (Brown University)
  • Poster Presentation

Paper Title Author Names
SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree Tao Fan (Hong Kong University of Science and Technology)*; weijing chen (webank); GuoQiang Ma (Webank); Yan Kang (Webank); Lixin Fan (WeBank); Qiang Yang (Hong Kong UST)
TripleS: A Subsidy-Supported Storage for Electricity with Self-Financing Management System Jia-Hao Syu (National Taiwan University); Rafał Cupek (Silesian University of Technology); Chao-Chun Chen (Taiwan National Cheng Kung University); Jerry Chun-Wei Lin (Silesian University of Technology)*
NetEffect: Discovery and Exploitation of Generalized Network Effects Meng-Chieh Lee (Carnegie Mellon University)*; Shubhranshu Shekhar (Brandeis University); Jaemin Yoo (KAIST); Christos Faloutsos (CMU)
Treatment Effect Estimation Under Unknown Interference Xiaofeng Lin (Graduate School of Informatics, Kyoto University)*; Guoxi Zhang (Beijing Institute of General Artificial Intelligence); Xiaotian Lu (Kyoto University); Hisashi Kashima (Kyoto University)
A Model For Retrieving High-Utility Itemsets With Complementary and Substitute Goods Raghav Mittal (Ashoka University)*; Anirban Mondal (Ashoka University); Krishna Reddy P (IIIT, Hyderabad); Mukesh Mohania (IIIT Delhi)
Spatial-Temporal Transformer with Error-restricted Variance Estimation for Time Series Anomaly Detection Yuye Feng (Hikvision Research Institute)*; Wei Zhang (Hikvision Research Institute); Haiming Sun (Hikvision Research Institute); Weihao Jiang (Hikvision Research Institute)
Human-driven Active Verification for Efficient and Trustworthy Graph Classification Tien-Cuong Bui (Seoul National University)*; Wen-Syan Li (Seoul National University)
Multivariate Beta Mixture Model: Probabilistic Clustering With Flexible Cluster Shapes yung peng Hsu (National Central University); Hung-Hsuan Chen (National Central University)*
Distributional Kernel: An Effective And Efficient Means For Trajectory Retrieval Yuanyi Shang (Nanjing University); Kai Ming Ting (Nanjing University); Zijing Wang (Nanjing University)*; Yufan Wang (Nanjing University)
CMed-GPT: Prompt Tuning for Entity-Aware Chinese Medical Dialogue Generation Zhijie Qu (School of Software Engineering, Beijing University of Technology)*; Juan Li (School of Software Engineering, Beijing University of Technology); Zerui Ma (School of Software Engineering, Beijing University of Technology); Jianqiang Li (School of Software Engineering, Beijing University of Technology)
Neural Additive and Basis Models with Feature Selection and Interactions Yasutoshi Kishimoto (Yokohama National University)*; Kota Yamanishi (Yokohama National University); Takuya Matsuda (Yokohama National University); Shinichi Shirakawa (Yokohama National University)
MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection Yongxin Yu (University of Jinan)*; Ke Ji (University of Jinan); Yuan Gao (University of Jinan); Zhenxiang Chen (University of Jinan); Kun Ma (University of Jinan); Jun Wu (Beijing Jiaotong University)
SATJiP: Spatial and Augmented Temporal Jigsaw Puzzles for Video Anomaly Detection Liheng Shen (Kyushu University)*; Tetsu Matsukawa (Kyushu University, JP); Einoshin Suzuki (Kyushu University)
A Contraction Tree SAT Encoding for Computing Twin-Width Yinon Horev (The Academic college of Tel Aviv-Yaffo); Shiraz Shay (The Academic college of Tel Aviv-Yaffo); Sarel Cohen (The Academic College of Tel Aviv-Yaffo); Tobias Friedrich (Hasso Plattner Institute); Davis Issac (Hasso Plattner Institut); Lior Kamma (The Academic College of Tel Aviv-Yaffo); Aikaterini Niklanovits (Hasso Plattner Institute)*; Kirill Simonov (Hasso Plattner Institute, University of Potsdam)
GraphNILM: A Graph Neural Network for Energy Disaggregation Rui Shang (Virginia Tech)*; Siji Chen (Virginia Tech); Zhiqian Chen (Mississippi State University); Chang-Tien Lu (Virginia Tech, USA)
Soft Contrastive Learning for Implicit Feedback Recommendations Zhenhua Zhuang (Nanjing University); Lijun Zhang (Nanjing University)*
Construct a Secure CNN against Gradient Inversion Attack Yu-Hsin Liu (National Taiwan University)*; Yu-Chun Shen (National Taiwan University); Hsi-Wen Chen (National Taiwan University); Ming-Syan Chen (National Taiwan University)
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise Tai Hasegawa (Tokyo Institute of Technology)*; Sukwon Yun (UNC Chapel Hill); Xin Liu (National Institute of Advanced Industrial Science and Technology (AIST)); Yin Jun Phua (Tokyo Institute of Technology); Tsuyoshi Murata (Tokyo Institute of Technology)
STL-ConvTransformer: Series Decomposition and Convolution-Infused Transformer Architecture in Multivariate Time Series Anomaly Detection Yu-Xiang Wu (NTUST); Bi-Ru Dai (National Taiwan University of Science and Technology)*
MixCL: Mixed Contrastive Learning for Relation Extraction Jinglei Zhang (Peking University)*; Bo Li (National Engineering Research Center for Software Engineering, Peking University; School of Software and Microelectronics, Peking University); Xixin Cao (School of software & Microelectronics, Peking University); Minghui Zhang (Handan Institute of Innovation, Peking University, Handan, Hebei, China); Wen Zhao (Peking University)
Contrastive Learning for Unsupervised Sentence Embedding with False Negative Calibration Chi-Min Chiu (NCKU)*; Ying-Jia Lin (National Cheng Kung University); Hung-Yu Kao (National Cheng Kung University)
Decomposing Relational Triple Extraction with Large Language Models for Better Generalization on Unseen Data Boyu Meng (Fudan University)*; Tianhe Lin (Fudan University); Deqing Yang (Fudan University)
Aspect-based fake news detection Ziwei Hou (Deakin University)*; Bahadorreza Ofoghi (Deakin University); Nayyar Zaidi (Deakin University); John Yearwood (Deakin University)
Neural Marked Hawkes Process for Limit Order Book Modeling Guhyuk Chung (KAIST); Yongjae Lee (UNIST); Woo Chang Kim (KAIST)*
TOPOMA: Time-Series Orthogonal Projection Operator with Moving Average for Interpretable and Training-Free Anomaly Detection Shanfeng Hu (Northumbria University)*; YING HUANG (Hangzhou Normal University)
Knowledge-Infused Optimization for Parameter Selection in Numerical Simulations Julia Meißner (University of Stuttgart)*; Melanie Herschel (Universität Stuttgart); Dominik Göddeke (University of Stuttgart)
Latent Space Correlation-Aware Autoencoders for Anomaly Detection in Skewed Data Padmaksha Roy (Virginia Tech, ECE)*; Ming Jin (Virginia Tech); Tim J O’Shea (Virginia Tech); Himanshu Singhal (Virginia Tech)
A Data-Driven Approach for Building A Cardiovascular Disease Risk Prediction System Hongkuan Wang (University of New South Wales)*; Raymond K Wong (UNSW Sydney); Kwok Leung Ong (University of Sydney)
A Multi-View Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification Zihan Li (University of Massachusetts Boston)*; Wei Ding (University of Massachusetts Boston); Inal Mashukov (University of Massachusetts Boston); Scott Crouter (University of Tennessee Knoxville); Ping Chen (University of Massachusetts Boston)
Multi-Query Person Search with Transformers Ying Chen (RMIT University)*; Zhihui Li (University of New South Wales); Andy Song (RMIT University)
SeeM: A Shared Latent Variable Model for Unsupervised Multi-View Anomaly Detection Phuong T. Nguyen (New Mexico State University); Tuan Le (New Mexico State University)*
MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting Avinash Anand (IIIT Delhi)*; Janak Sureshbhai Kapuriya (Indraprastha Institute of Information Technology Delhi ); Apoorv Singh (MIDAS, IIIT Delhi); Jay Saraf (Indraprastha Institute of Information Technology Delhi); Naman Lal (MIDAS Lab, IIIT Delhi); Astha Verma (IIIT Delhi); Rushali Gupta (MIDAS, IIIT Delhi); Rajiv Ratn Shah (IIIT Delhi)
Probabilistic Guarantees of Stochastic Recursive Gradient in Non-Convex Finite Sum Problems Yanjie Zhong (Washington University in St. Louis); Jiaqi Li (Washington University in St. Louis)*; Soumendra Lahiri (Washington University in St. Louis)
TCGNN: Text-Clustering Graph Neural Networks for Fake News Detection on Social Media Pei-Cheng Li (National Taiwan University); Cheng-Te Li (National Cheng Kung University)*
On Dark Knowledge for Distilling Generators Chi Hong (TU Delft)*; Robert Birke (University of Torino); Pin-Yu Chen (IBM Research); Lydia Chen (TU Delft)
LPSD: Low-rank Plus Sparse Decomposition for Highly Compressed CNN Models Kuei-Hsiang Huang (National Tsing Hua University); Cheng-yu Sie (National Tsing Hua University); Jhong-En Lin (National Tsing Hua University); Che-Rung Lee (National Tsing Hua University)*
RPH-PGD: Randomly Projected Hessian for Perturbed Gradient Descent Chi-Chang Li (National Tsing Hua University); Jay Huang (National Tsing Hua University); Wing-Kai Hon (National Tsing Hua University); Che-Rung Lee (National Tsing Hua University )*
Enhancing YOLOv7 for plant organs detection using attention-gate mechanism Hanane Ariouat (Ird); Youcef Sklab (IRD); Marc Pignal (mnhn); Florian Jabbour (National Museum of Natural History); Régine Vignes Lebbe (Sorbonne Université); Edi Prifti (IRD); Jean-Daniel Zucker (IRD); Eric Chenin (IRD); Youcef Sklab (IRD)*
Adversarial Text Purification: A Large Language Model Approach for Defense Raha Moraffah (Arizona State University)*; Shubh V Khandelwal (Arizona State University); Amrita Bhattacharjee (Arizona State University); Huan Liu (Arizona State University)
Unveiling Backdoor Risks Brought by Foundation Models in Heterogeneous Federated Learning Xi Li (The Pennsylvania State University); Chen Wu (Pennsylvania State University); Jiaqi Wang (Penn State University)*
Revisiting Link Prediction with the Dowker Complex Jae W Choi (UT Dallas)*; Yuzhou Chen (Temple University); José Frías (CIMAT); Joel Castillo (CIMAT); Yulia R. Gel (The University of Texas at Dallas)
Unmasking Dementia Detection through Masking Input Gradients: A JSM Approach to Model Interpretability and Precision Yasmine Mustafa (Missouri University of Science and Technology ); Tie Luo (Department of Computer Science, Missouri University of Science and Technology)*
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