Accepted papers

Main Track

  • #6 Towards Retrieval-Augmented Large Language Model-based Conversational Recommender System

    dayu yang (University of Delaware)*

  • #11 LiSA: Leveraging Link Recommender to Attack Graph Neural Networks via Subgraph Injection

    Wenlun Zhang (Keio University); Enyan Dai (The Pennsylvania State University)*; Kentaro Yoshioka (Stanford)

  • #12 Leveraging Group-Level Signals for Robust Many-Domain Generalization

    Bohan Zhang (University of Michigan); Yachuan Liu (University of Michigan); Qiaozhu Mei (University of Michigan); Paramveer Dhillon (University of Michigan)*

  • #14 AgingFedNAS: Aging Evolution Federated Deep Learning for Architecture and Hyperparameter Search

    Radwa El Shawi (Tartu University)*

  • #24 Adaptive and Discriminative Contrastive Learning for Sequential Recommendation

    Chi Zhou (Zeekr Group); Shaolin Wang (Geely Holding Group)*; haoyang che (Zeekr group); LEI YAO (Zeekr); Chang Tang (Zeekr Group); Ying Gu (Zeekr Group)

  • #28 Causal Discovery with Inverted Self-attention for Multivariate Time Series

    Yusen Liu (University of Technology Sydney (UTS) )*; Yong Wang (TianFu YongXing Laboratory); Yifan Yin (University of Technology Sydney); Tianqing Zhu (City university of Macau); Xiufeng Liu (Technical University of Denmark); Huan Huo (University of Technology Sydney)

  • #42 Differentiable Good Arm Identification

    Yun-Da Tsai (National Taiwan University)*; Tzu-Hsien Tsai (National Taiwan University); Shou-De Lin (NTU)

  • #43 LinearAPT: An Adaptive Algorithm for the Fixed- Budget Thresholding Linear Bandit Problem

    Yun-Ang Wu (National Taiwan University); Yun-Da Tsai (National Taiwan University)*; Shou-De Lin (NTU)

  • #49 CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation

    Zijie Zhong (Beihang University)*; Yunhui Zhang (theSight Technology); Ziyi Chang (theSight Technology); Zengchang Qin (Intelligent Computing & Machine Learning Lab, School of ASEE, Beihang University)

  • #55 Next Point-of-Interest Recommendation Algorithm Based on Spatial-Temporal Knowledge Graph and User Dual-Level Preferences

    Ruoyi Wang (Jilin University); Xu Zhou (Jilin University)*

  • #60 Multi-view hypergraph adaptive contrastive learning

    rong qian (Beijing Electronic Science and Technology Institute); Zongfang Lv (Xidian University)*; Yuchen Zhou (Beijing Electronic Science and Technology Institute)

  • #64 Mixture of Conditional Attention for Multimodal Fusion in Sequential Recommendation

    Sewon Lee (Seoul National University); Kwangeun Yeo (Seoul National University); Eungi Kim (Seoul National University); Jinri Kim (Seoul National University); Chanwoo Kim (Seoul National University); yujin jeon (Seoul National University); Jooyoung Kim (Seoul National University); Joonseok Lee (Google Research & Seoul National University)*

  • #65 ReducedGCN: Learning to Adapt Graph Convolution for Top-N Recommendation

    Eungi Kim (Seoul National University); Chanwoo Kim (Seoul National University); Kwangeun Yeo (Seoul National University); Jinri Kim (Seoul National University); yujin jeon (Seoul National University); Sewon Lee (Seoul National University); Joonseok Lee (Google Research & Seoul National University)*

  • #70 Dynamic Spuriosity Bias Harmonizer: Combatting Spurious Features for Domain Generalization

    Byeongtae Park (Hanyang University); Harim Lee (Hanyang university); Sungmoon Kim (Hanyang University); Dong-Kyu Chae (Hanyang University)*

  • #71 A Unified Detector for Both Adversarial Attacks and Out-of-distribution Samples based on Kernel Path Distribution

    Seonggyeom Kim (Hanyang University); Minju Kim (Hanyang University); Dong-Kyu Chae (Hanyang University)*

  • #86 Preventing Sensitive Information Leakage via Post-hoc Orthogonalization with Application to Chest Radiograph Embeddings

    Tobias Weber (LMU Munich)*; Michael Ingrisch (Department of Radiology, University Hospital, LMU Munich); Bernd Bischl (LMU Munich); David Ruegamer (LMU Munich)

  • #92 Stronger Separability, Stronger Defense: Influence-based Backdoor Detection

    Buhua Liu (Hong Kong Baptist University)*; Shuo Yang (The University of Hong Kong); Zhiqiang Xu (MBZUAI); Haoyi Xiong (Baidu Research); Yiu-ming CHEUNG (Hong Kong Baptist University); Zeke Xie (The Hong Kong University of Science and Technology (Guangzhou))

  • #94 Explainable Temporal Knowledge Graph Reasoning via Expressive Logic Rules

    Xianglong Bao (Tianjin University)*; Kewen Wang (Griffith University); Zhe Wang (Griffith University); Hong Wu (Griffith University); Jiangtao Zuo (Tianjin University); Xiaowang Zhang (Tianjin University); Zhiyong Feng (Tianjin University); Hutong Wu (Tianjin University)

  • #96 Random Similarity Isolation Forests

    Sebastian Chwilczyński (Poznan University of Technology); Dariusz Brzezinski (Poznan University of Technology)*

  • #106 Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records

    Yuhao Li (University of Melbourne)*; Ling Luo (University of Melbourne); Uwe Aickelin (The University of Melbourne)

  • #112 A Hybrid Loss Framework for Decomposition-based Time Series Forecasting Methods: Balancing Global and Component Errors

    Ronghui Han (Sichuan University)*; Duanyu Feng (Sichuan University); Hongyu Du (University of Colorado); Hao Wang (Sichuan University)

  • #121 DNA Sequence Clustering for Efficient Stored Data Reconstruction in High Error Rates via Hash Sketches Fuzzy Clustering

    Qi Shao (Dalian University); Yanfen Zheng (Dalian University of Technology)*; Ben Cao (Dalian University of Technology); ZhenLu Liu (Dalian University); Bin Wang (Dalian University); Shihua Zhou (Dalian University); Pan Zheng (University of Canterbury)

  • #131 AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification

    Minjun Kim (Seoul National University)*; Jaehyeon Choi (Seoul National University); SeungJoo Lee (Seoul National University); Jinhong Jung (Soongsil University); U Kang (Seoul National University)

  • #136 Flexible Bivariate Beta Mixture Model: A Probabilistic Approach for Clustering Complex Data Structures

    yung peng Hsu (National Central University); Hung-Hsuan Chen (National Central University)*

  • #149 Hypergraph-Enhanced Kernel Initialization for Convolutional LSTM Networks: Insights from Asset Correlation Forecasting

    Lo Pang-Yun Ting (National Cheng Kung University); Hua-Cheng Cheng (National Cheng Kung University); Yu-Hua Zeng (National Cheng Kung University); Kun-Ta Chuang (National Cheng Kung University)*

  • #157 FGPA: An Integrated Framework for Mutual Fund Grouping and Group Persistence Assessment

    Meng Zou (Southern Asset Management)*; Quan You (Southern Asset Management)

  • #169 A Hypergraph Neural Network With Motif Interaction Enhancement

    Long Jun (Central South University); Ji Shijia (Central South University); Wang Zidong (Central South University); Chen Tingxuan (Central South University); Yang Liu (Central South University)*

  • #178 SpecG: A Spectral-based Framework for Effective Graph Pretraining and Knowledge Transfer

    Zizhe Jin (Griffith University); Yizhen Zheng (Monash University); Linhao Luo (Monash University); Yixin Liu (Griffith University); Xin Zheng (Griffith University); Xuefei Yin (Griffith University); Vincent Lee (Monash University); Shirui Pan (Griffith University)*

  • #183 Labor Migration Modeling through Large-scale Job Query Data

    Zhuoning Guo (The Hong Kong University of Science and Technology (Guangzhou))*; Le Zhang (Baidu Research, Baidu Inc.); Hengshu Zhu (The Hong Kong University of Science and Technology (Guangzhou) & Computer Network Information Center, Chinese Academy of Sciences); Weijia Zhang (The Hong Kong University of Science and Technology (Guangzhou)); Hui Xiong (The Hong Kong University of Science and Technology (Guangzhou) & 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)

  • #199 Hilbert Curve Based Molecular Sequence Analysis

    Sarwan Ali (Georgia State University)*; Tamkanat E Ali (Lahore University of Management Sciences); Imdadullah Khan (Lahore University of Management Sciences); Murray Patterson (Georgia State University)

  • #200 GBCE: Enhanced Training Loss to Estimate Accuracy of Models in Production

    Ryuta Matsuno (NEC Corporation)*

  • #211 Tailored Bipartite Graph Anomaly Detection via Fixed-Attention Network

    Shaowen Tang (University of New South Wales)*; Raymond Wong (University of New South Wales)

  • #214 TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale

    Kay Liu (University of Illinois Chicago)*; Jiahao Ding (Amazon Web Services); MohamadAli Torkamani (Amazon Web Services); Philip Yu (University of Illinois Chicago)

  • #217 Rethinking Contrastive Learning for Electrocardiogram Anomaly Detection: A Time-Frequency Augmentations Perspective

    huihui chang (zhengzhou University)*; Haoyi Fan (Zhengzhou University); Han Han (Zhengzhou University); Mingzhe Han ( Ohio State University); Bing Zhou ( Zhengzhou University); Zongmin Wang (Zhengzhou University)

  • #223 Streaming Isolation Forest

    Jia Liu (University of Waikato)*; Fei Liu (University of New South Wales); Guilherme Cassales (University of Waikato); Bernhard Pfahringer (University of Waikato); Albert Bifet (University of Waikato)

  • #227 Multimodal Contrastive Learning for Dialogue Embeddings with Global and Local Views

    Jihyeon Oh (Sogang University); Subeen Choe (Sogang University); Jihoon Yang (Sogang University)*

  • #237 Retraining Gradient Boosting Decision Trees with Backward Compatibility of Explanations

    Tsukasa Yamakura (Institute of Science Tokyo)*; Yoichi Sasaki (NEC Corporation); Yuzuru Okajima (NEC Corporation); Thiem Van Chu (Institute of Science Tokyo)

  • #240 An Efficient CNN Network Utilizing Temporal and Spatial Attention Mechanisms for SSVEP Frequency Recognition

    Chao Zhang (Anhui University); Pengfei Su (Anhui University); Xiaopei Wu (Anhui University)*

  • #243 Active Instruction Tuning for Large Language Models with Reference-Free Instruction Selection

    Qiyuan Zhang (CITYU)*; Jiehao Chen (China Academy of industrial Internet); Chen Ma (City University of Hong Kong)

  • #254 Temp-EASE: Temporal Knowledge Graph Reasoning with Evolution Awareness and Semantic Enhancement

    Tong Xin (Shanghai University)*; Wei Liu (Shanghai University); Weimin Li (Shanghai University)

  • #258 Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation

    Dawon Ahn (University of California, Riverside)*; Jun-Gi Jang (University of Illinois Urbana-Champaign); Evangelos Papalexakis (University of California, Riverside)

  • #259 Human-centered Explainable Psychiatric Disorder Diagnosis System using Wearable ECG Monitors

    Hung Nguyen (University of New Brunswick)*; Alireza Rahimi (University of New Brunswick); Veronica Whitford (University of New Brunswick); Hélène Fournier (National Research Council Canada); Irina Kondratova (National Research Council Canada); René Richard (National Research Council Canada); Hung Cao (University of New Brunswick)

  • #261 Parameter Efficient Tuning for Graph Neural Networks via a Weight Adaptive Module

    Eunseon Seong (Hanyang University); Dongkyu Chae (Hanyang University)*

  • #270 Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification

    Yunrui Zhang (University of New South Wales)*; Gustavo Batista (University of New South Wales); Salil Kanhere (University of New South Wales)

  • #277 EquityNet: Unveiling Corporate Equity Relationships in Business Conglomerates Using Graph Neural Networks and GDV Features

    Bo Li (Peking University); Bingce Wang (Peking University)*; Lifeng Li (Highway Monitoring & Response Center Ministry of Transport of the P. R. C); Weiping Li (Peking University); Tong Mo (Peking University)

  • #278 RPDN: An Effective Rating Pollution Attacks Detection Framework for Recommendation Systems

    Yongrui Gu (Zhejiang Gongshang University); Jianke Yu (University of Technology Sydney); Yongye Li (Zhejiang Gongshang University)*; Peiting Xie (University of New South Wales); Xiaoyang Wang (University of New South Wales); Chen Chen (University of Wollongong)

  • #285 Session-based Recommendation with Multi-granularity User Intent and Dual-channel Sparse Graph Attention Networks

    Pei-Xuan Li (National Cheng Kung University); Jia-Lung Lin (National Cheng Kung University); Hsun-Ping Hsieh (National Cheng Kung University)*

  • #287 SHIP: A Shapelet-based Approach for Interpretable Patient-Ventilator Asynchrony Detection

    Xuan-May Le (The University of Melbourne)*; Ling Luo ( The University of Melbourne); Uwe Aickelin (The University of Melbourne); Minh-Tuan Tran (Monash University); David Berlowitz (The University of Melbourne); Mark Howard ( Austin Health)

  • #300 Gate-ViT: Gated Vision Transformer for Fine-Grained Visual Classification

    Xiaowei Lu (Xiamen University)*; kanqi wang (Xiamen University); Peiyu Wang (Xiamen University); Qin Zhang (Shenzhen University); Yang Zhao (Xiamen University); Gang Liu (Xiamen University); Xiaohan Yu (Macquarie University)

  • #306 T^2 Transformer for Image Captioning

    Quanjin Liu (Dalian University of Technology)*; Guisheng Liu (Dalian University of Technology); Yi Li (Dalian University of Technology); Xin Zheng (Griffith University); Yanqing Guo (Dalian University of Technology)

  • #311 DART: Diversified and Accurate Long-Tail Recommendation

    Jeongin Yun (Seoul National University)*; Jaeri Lee (Seoul National University); U Kang (Seoul National University)

  • #312 Automatic Prompt Selection for Large Language Models

    Viet Tung Do (Cinnamon AI); Xuan-Quang Nguyen (Cinnamon AI); Van Khanh Hoang (Cinnamon AI); Duy-Hung Nguyen (Cinnamon AI); Shahab Sabahi (Cinnamon AI); Chening Yang (Cinnamon AI); Hajime Hotta (Cinnamon AI); Minh-Tien Nguyen (Cinnamon AI); Hung Le (Deakin University)*

  • #316 CLEAR: Cluster-based Prompt Learning on Heterogeneous Graphs

    Feiyang Wang (Beijing University of Posts and Telecommunications)*; Zhongbao Zhang (Beijing University of Posts and Telecommunications); Junda Ye (Beijing University of Posts and Telecommunications); Sun Li (North China Electric Power University); Jianzhong Qi (The University of Melbourne)

  • #318 LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework

    Chia-Hsuan Chang (Yale University )*; Jui-Tse Tsai (National Sun Yat-sen University); Yi-Hang Tsai (National Sun Yat-sen University); San-Yih Hwang (National Sun Yat-sen University)

  • #319 DiPPSI: Diffusion-based Pulsative Physiological Signal Imputation

    Su-Jung Wu (National Yang Ming Chiao Tung University); Jia-Ching Ying (National Chung Hsing University); Vincent Tseng (National Yang Ming Chiao Tung University)*

  • #323 Changepoint Detection via Subset Chains

    Alexis Huet (Huawei Technologies France)*; Jose Manuel Navarro (Huawei Technologies France); Dario Rossi (Huawei Technologies France)

  • #325 Auto-Reg: A Dynamic AutoML Framework for Streaming Regression

    Nilesh Verma (University of Waikato)*; Albert Bifet (University of Waikato ); Bernhard Pfahringer (University of Waikato); Maroua Bahri (University of Waikato)

  • #334 Moco: A Learnable Meta Optimizer for Combinatorial Optimization

    Tim Dernedde (Universität Hildesheim)*; Daniela Thyssens (Universität Hildesheim); Sören Dittrich (Universität Hildesheim); Maximilian Stubbemann (Universität Hildesheim); Lars Schmidt-Thieme (Universität Hildesheim)

  • #342 DCMatch - Identify Matching Architectures in Deep Clustering through Meta-Learning

    Mamdouh Aljoud (Ludwig Maximilian University of Munich)*; Gabriel Marques Tavares (Ludwig Maximilian University of Munich); Collin Leiber (Aalto University); Thomas Seidl (Ludwig Maximilian University of Munich)

  • #348 PileUp Mitigation at the HL-LHC Using Attention for Event-Wide Context

    Luke Vaughan (Oklahoma State University)*; Mohammed Rakib (Oklahoma State University); Shivang Patel (Oklahoma State University); Flera Rizatdinova (Oklahoma State University); Alexander Khanov (Oklahoma State University); Arunkumar Bagavathi (Oklahoma State University)

  • #352 Sampling Frequent and Diverse Patterns Through Compression

    François Camelin (IMT Atlantique)*; Samir Loudni (IMT Atlantique); Gilles Pesant (Polytechnique Montréal); Charlotte Truchet (Sorbonne Université)

  • #353 Bridge Structural Knowledge and Pre-trained Language Models for Knowledge Graph Completion

    Qiao Qiao (Iowa State University)*; yuepei li (Iowa State University); Qing Wang (Iowa State University); Kang Zhou (Iowa State University); Qi Li (Iowa State University)

  • #354 QSMT: Query-Shared Multimodal Transformer for Multimodal Sentiment Analysis

    Huazhong Liu (Hainan University); Yuanhan Liu (Hainan University); Jihong Ding (Hainan University)*; Wenxuan Zhang (Hainan University)

  • #358 CrossFL: A Cross-Round Federated Learning Framework with Asynchronous Client Selection

    Zikang Wen (The University of Sydney); Nan Yang (The University of Sydney)*; Yuning Zhang (The University of Sydney); Yanli Li (The University of Sydney); Zihao Yao (The University of Sydney); Huaming Chen (The University of Sydney); Dong Yuan (The University of Sydney)

  • #361 MTGlu: A Multi-scale Time-frequency Approach for Personalized Glucose Prediction in Type 1 Diabetes

    Lantian Fu (Zhejiang University); Ying Li (Zhejiang University); Xuxue Sun (Communication University of Zhejiang)*; Zhenning Bao (Hangzhou Dianzi University); Yuxin Wen (Chapman University); Yuanyuan Zhang (Zhejiang Chinese Medical University)

  • #366 Efficient and Diverse De Novo Protein Backbone Design with SE(3)-Equivariant Diffusion

    Ruipeng Zhou (Dalian University of Technology)*; Ming Yang (Dalian University of Technology); Yi Li (Dalian University of Technology); Xin Zheng (Griffith University); Alan Wee-Chung Liew (Griffith University); Shirui Pan (Griffith University); Yanging Guo (Dalian University of Technology)

  • #367 ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning

    Linhao Luo (Monash University)*; Jiaxin Ju (Griffith University); Bo Xiong (University of Stuttgart); Yuan-Fang Li (Monash University); Reza Haffari (Monash University); Shirui Pan (Griffith University)

  • #377 Rule-Validated Negative Sampling for Temporal Knowledge Graphs

    Naimeng Yao (University of Tasmania)*; Qing Liu (Data61, CSIRO); Quan Bai (University of Tasmania)

  • #382 MGPDF: A Multi-modal Gaussian Process Decision-level Fusion Model for Parkinson's Disease Prediction

    Keyu Shen (Southwest Jiaotong University); Xiaobo Zhang (Southwest Jiaotong University)*; Yutao Liu (Southwest Jiaotong University); Yan Yang (Southwest Jiaotong University); Xiaole Zhao (Southwest Jiaotong University)

  • #383 Enhanced Molecular Property Prediction with SMILES and Graph Aligned Contrastive Learning

    Minlan Shao (Jilin University)*; Yili Wang (Jilin University); Xu Shen (Jilin University); Xin Wang (Jilin University)

  • #385 LRTHT: An Efficient Log Clustering Framework Based on Radix Tree and Hash Table

    yizhen Li (Xi’an Jiaotong University); Qin Tao (School of Computer Science and Technology, Xi’an Jiaotong University. MOE Key Laboratory for Intelligent Networks and Network Security, Xi’an Jiaotong University.)*; Jinzi Zou (Xi’an Jiaotong University); Chenxu Wang (School of Software Engineering, Xi’an Jiaotong University. MOE Key Laboratory for Intelligent Networks and Network Security, Xi’an Jiaotong University.); Yuan-cheng LU (No.15, P.O. Box 15, Lanzhou City, Gansu Province, China)

  • #388 MDVAD: Multimodal Diffusion for Video Anomaly Detection

    Kijung Lee (Yonsei University); Youngwan Jo (Yonsei University); Sunghyun Ahn (Yonsei University); Sanghyun Park (Yonsei University)*

  • #391 VCC-Fed: A Multi-task Federated Learning Paradigm with Versatile Collaborative Clients

    Yue Hua (Dalian University of Technology); Yi Li (Dalian University of Technology)*; Xin Zheng (Griffith University); Ming Yang (Dalian University of Technology); Haiyan Fu ( Dalian University of Technology); Alan Wee-Chung Liew (Griffith University); Yanqing Guo ( Dalian University of Technology)

  • #397 Parallel Graph Convolutional Network for Multi-modal Recommendation

    Wanru Niu (Dalian University of Technology)*; Yi Li (Dalian University of Technology); Jianfei Liu (Dalian University of Technology); Xin Xie (Dalian University of Technology); Haiyan Fu (Dalian University of Technology); Yanqing Guo ( Dalian University of Technology)

  • #405 DualS-Geo: A Large-Scale Dual-Stack Landmark Mining Framework for IP Geolocation

    Ruosi Cheng (the Information Engineering University)*; Shichang Ding (State Key Laboratory of Mathematical Engineering and Advanced Computing); Liancheng Zhang (the Information Engineering University); Ruixiang Li (State Key Laboratory of Mathematical Engineering and Advanced Computing;the Information Engineering University); Chong Liu (the Information Engineering University); Xiangyang Luo (State Key Laboratory of Mathematical Engineering and Advanced Computing)

  • #409 MLCL: Remote Sensing Change Detection Using Multi-level Contrastive Learning

    Yizhou Liang (Guilin University of Electronic Technology); Chushi Wang (Guilin University of Electronic Technology); Bin Zhao (Guilin University of Electronic Technology)*

  • #410 MedConMA: A Confidence-Driven Multi-Agent Framework for Medical Q&A

    Rui Wang (Qilu University of Technology(Shandong Academy of Sciences)); Yonghe Chen (Qilu University of Technology(Shandong Academy of Sciences)); Weiyu Zhang (Qilu University of Technology(Shandong Academy of Sciences))*; Jiasheng Si (Qilu University of Technology(Shandong Academy of Sciences)); Hongjiao Guan (Qilu University of Technology(Shandong Academy of Sciences)); Xueping Peng (Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, Australia); Wenpeng Lu (Qilu University of Technology(Shandong Academy of Sciences))

  • #411 A Novel Framework for Multi-hop Reasoning via Alternate Entity and Sequence Generation

    Yong Shang (Qilu University of Technology(Shandong Academy of Sciences))*; Weiyu Zhang (Qilu University of Technology(Shandong Academy of Sciences)); Huiting Li (Qilu University of Technology(Shandong Academy of Sciences)); Yang Liu (Qilu University of Technology(Shandong Academy of Sciences)); Wenpeng Lu (Qilu University of Technology(Shandong Academy of Sciences))

  • #429 Efficient Token Fusion for Transformer-Based Semantic Segmentation

    zelin zhang (the university of sydney)*; Tao Zhang (university of technology sydney); Aibo Xu (the university of bristol)

  • #448 TrojanTime: Backdoor Attacks on Time Series Classification

    Chang Dong (The University of Adelaide)*; Zechao Sun (The University of Sydney); Guangdong Bai (The University of Queensland); Shuying Piao (The University of Adelaide); Weitong Chen (The University of Adelaide); Wei Zhang (The University of Adelaide)

  • #449 GOSP: A Granularity-Optimized SPARQL Generation Framework for Knowledge Base Question Answering

    Beibei Gao (Beijing Information Science and Technology University)*; Yangsen Zhang (Beijing Information Science and Technology University); Ga Xiang ( Beijing Information Science and Technology University); Zicheng Zhou (Beijing Information Science and Technology University)

  • #460 Graph Neural Networks at a Fraction

    Rucha Bhalchandra Joshi (The Cyprus Institute)*; Sagar Prakash Barad (National Institute of Science Education and Research, Bhubaneswar); Nidhi Tiwari (Microsoft Ltd.); Subhankar Mishra (National Institute of Science Education and Research, Bhubaneswar)

  • #461 SplineFormer: Improving Time Series Forecasting with Kolmogorov–Arnold Networks and Enhanced ProbSparse Self-Attention

    Qingwen Zeng (The University of Sydney)*; Nan Yang (The University of Sydney); Jushang Qiu (Australian National University); Junbin Gao (The University of Sydney); Huaming Chen (The University of Sydney)

  • #470 Focus On What Matters: Guiding Vision Transformers Towards Justification

    Thomas John (Indian Institute of Technology, Palakkad)*; Mrinal Das (Indian Institute of Technology, Palakkad)

  • #494 Fair One-Step Spectral Rotation Clustering via Adaptive Graph Learning

    Laxita Agrawal (Indian Institute of Technology Guwahati)*; V. Vijaya Saradhi (Indian Institute of Technology Guwahati); Teena Sharma (Indian Institute of Technology Guwahati)

  • #495 Adaptive Weight Assignment for Adversarial Training Based on Predicted Class Probabilities Across Different Attacks and Perturbation Sizes

    Modeste Atsague (Iowa State University)*; Jin Tian (Mohamed bin Zayed University of Artificial Intelligence); Olukorede Fakorede (Iowa State University)

  • #504 FedSweep: Unlearning Backdoors in Federated Learning

    Zhiheng Qiu (City University of Macua); Qi Zhong (City University of Macua)*; Minfeng Qi (City University of Macua); Lefeng Zhang (City University of Macua)

  • #506 Explanation-based Anonymization Methods for Motion Privacy

    Thomas Carr (University of North Carolina at Charlotte); Yaxin Zhao (University of North Carolina at Charlotte); Depeng Xu (University of North Carolina at Charlotte)*; Aidong Lu (University of North Carolina at Charlotte)

  • #510 DDOT: A Derivative-directed Dual-decoder Ordinary Differential Equation Transformer for Dynamic System Modeling

    Yang Chang (national yang ming chiao tung university)*; Kuang-Da Wang (Department of Computer Science, National Yang Ming Chiao Tung University); Ping-Chun Hsieh (Department of Computer Science, National Yang Ming Chiao Tung University); Cheng-Kuan Lin (Department of Computer Science, National Yang Ming Chiao Tung University); Wen-Chih Peng (Department of Computer Science, National Yang Ming Chiao Tung University)

  • #511 Informed Augmentation Selection Improves Tabular Contrastive Learning

    Arash Khoeini (Simon Fraser University)*; Shuman Peng (Simon Fraser University); Martin Ester (Simon Fraser University)

  • #526 MarkErase: Defeating Entangled Watermarks in Model Extraction Attacks

    Leo Zhang (griffith)*; TENG FEI (湘潭大学); XINJING LIU (Xidian University); Yanjun Zhang (University of Technology Sydney); Haizhuan Yuan (Xiangtan University); Tianqing Zhu (City University of Macau)

  • #528 SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents

    Dawei Li (Arizona State University)*; Zhen Tan (Arizona State University); Peijia Qian (Independent Researcher); Yifan Li (Michigan State University); Kumar Chaudhary (Arizona State University); Lijie Hu (King Abdullah University of Science and Technology); Jiayi Shen (The University of Texas at Austin)

  • #532 Scalable Knowledge Graph Construction from Unstructured Text: A Case Study on Artisanal and Small-Scale Gold Mining

    Debashis Gupta (Wake Forest University)*; Aditi Golder (Wake Forest University); Sahil Sidheekh (University of Texas at Dallas); Sakib Imtiaz (Rajshahi University of Engineering and Technology); Luis Fernendez (Centro de Innovación Científica Amazónica(CINCIA)); Miles Silman (Wake Forest University); Greg Lersen (Wake Forest University); Fan Yang (Wake Forest University); Bob Plemmons (Wake Forest University); Sarra Alqahtani (Wake Forest University); Sriraam Natarajan (University of Texas at Dallas); Paul Victor Pauca (Wake Forest University)

  • #533 Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks

    Tao Wu (Missouri University of Science and Technology)*; Tie Luo (University of Kentucky)

  • #535 Deep Interactions for Multimodal Molecular Property Prediction

    Patrick Soga (University of Virginia)*; Zhenyu Lei (University of Virginia); Camille Bilodeau (University of Virginia); Jundong Li (University of Virginia)

  • #536 Clustering-based Meta Bayesian Optimization with Theoretical Guarantee

    Khoa Nguyen (Deakin University)*; Viet Huynh (Edith Cowan University); Binh Tran (The Saigon International University); Tri Pham (The Saigon International University); Tin Huynh (The Saigon International University); Thin Nguyen (Deakin University)

  • #540 IDIR: Interpolated Diffusion Image Reconstruction for Generalizable Detection of Synthetic Images

    Xiaoyu Ding (University of Technology Sydney)*; Weiqi Wang (University of Technology Sydney); Zhiyi Tian (University of Technology Sydney); Shui Yu ( University of Technology Sydney)

  • #541 Time Series Treatment Effects Analysis with Always-Missing Controls

    Juan Shu (Walmart Global Tech)*; Qiyu Han (Walmart Global Tech); George Chen (Walmart Global Tech); Xihao Cao (Walmart Global Tech); Kangming Luo (Walmart Global Tech); Dan Pallotta (Walmart Global Tech); Shivam Agrawal (Walmart Global Tech); Yuping Lu (Walmart Global Tech); Xiaoyu Zhang (Walmart Global Tech); Jawad Mansoor (Walmart Global Tech); Jyoti Anand (Walmart Global Tech)

  • #542 Isolating Latent Context Information Enhances Graph Structure Learning for Spatial Interpolation

    Chaofan Li (Karlsruhe Institute of Technology)*; Till Riedel (Karlsruhe Institute of Technology); Michael Beigl (Karlsruhe Institute of Technology)

  • #543 sMOOD: subManifold based Out-Of-Distribution detection

    Wangli Yang (University of Wollongong); Xinrong Hu (Wuhan Textile University); Jie Yang (University of Wollongong)*; Yi Guo (Western Sydney University)

  • #563 Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios

    Mohna Chakraborty (Iowa State University)*; Adithya Kulkarni (Iowa State University); Qi Li (Iowa State University)

  • #576 Parameter Estimation in Cognitive Diagnosis: A Light-weight Neural Network Solution

    Qiang Li (Huainan Normal University); Binbin Wang (Huainan Normal University)*

  • #577 Exploring Fine-grained Relation Alignment for Multimedia Information Retrieval

    min zheng (beijing jiaotong university)*; chunpeng wu (sgcc); yue wang (sgcc); yantao jia (huawei); xiaohui wang (sgcc); tianjiao pu (sgcc)

  • #582 Representing Higher-Order Networks with Spectral Moments

    Hao Tian (Syracuse University)*; shengmin Jin (Amazon Inc. ); Reza Zafarani (Syracuse University)

  • #586 Source Identification Model Based on Label Propagation and Graph Ordinary Differential Equations

    Fuyuan Ma (Jilin University); Yuhan Wang (Jilin University); Junhe Zhang (Jilin University); Ying Wang (Jilin University)*

  • #590 Expert-Guided Toxicity Filtration for Debiased Generation

    Xueyao Sun (The Hong Kong Polytechnic University)*; Kaize Shi (University of Technology Sydney); Haoran Tang (The Hong Kong Polytechnic University); Guandong Xu (University of Technology Sydney); Qing Li (The Hong Kong Polytechnic University)

  • #591 Linked Adapters: Linking Past and Future to Present for Effective Continual Learning

    SRIKAR CHANDRA DUPATI (IIT Hyderbad)*; P.K. Srijith ( IIT Hyderbad); Dana Rezazadegan (Swinburne University); Chris McCarthy (Swinburne University)

  • #596 Fairness Driven Slot Allocation Problem in Billboard Advertisement

    Dildar Ali (IIT Jammu); Suman Banerjee (IIT Jammu)*; Shweta Jain (IIT Ropar); Yamuna Prasad (IIT Jammu)

  • #600 Graph Retrieval-Augmented LLM for Conversational Recommendation Systems

    Zhangchi Qiu (Griffith University)*; Linhao Luo (Monash University); zicheng zhao (Nanjing University of Science and Technology); Shirui Pan (Griffith University); Alan Wee-Chung Liew (Griffith University)

  • #625 Enhancing Inductive Numerical Reasoning in Knowledge Graphs with Relation-Aware Relative Numeric Encoding

    Hongjun Jeong (SKKU); Heesoo Jung (SKKU); Gayeong Kim (SKKU); Juann Kim (SKKU); Ko Keun Kim (LG Corporation); Hogun Park (Sungkyunkwan University (SKKU))*

  • #627 MuPaST: Multi-period Aware Spatio-Temporal Representation Learning for Multivariate Time Series Classification

    Xianpeng Li (School of Software, Shandong University, Jinan, China)*; Ziyang Su (School of Software, Shandong University, Jinan, China); Yuliang Shi ( School of Software, Shandong University, Jinan, China; Dareway Software Co., Ltd, Jinan, China); Lin Cheng ( School of Software, Shandong University, Jinan, China); Xinjun Wang (School of Software, Shandong University, Jinan, China); Zhiyong Chen (School of Software, Shandong University, Jinan, China); Hui Li (School of Software, Shandong University, Jinan, China)

  • #635 Vertical Federated Learning Across Second-hop Parties

    Zikai Dou (McMaster University )*; Fei Chiang (McMaster University)

  • #639 Safety and Public Protection: Predicting and Analyzing Incidents with Large Language Model-Based Zigzag Graph Neural Networks

    Hassan A. Shafei (Jazan University); Yang Zhao (Temple University); Christian Martin (University of Texas at Austin); Javad Mohammad Alizadeh (Temple University); Karin Eyrich-Garg (Temple University); Omar Martinez (University of Central Florida); Ying Ding (University of Texas at Austin); Chiu Tan (Temple University); Huanmei Wu (Temple University); Yuzhou Chen (Temple University)*

  • #661 Dual Learning between Molecules and Natural Language

    Haodi Zhang (Shenzhen University); Yong Ding (Shenzhen University); Liang-Jie Zhang (Shenzhen University); Weicheng Wang (Hong Kong University of Science and Technology); Yuanfeng Song (WeBank Co., Ltd)*; Di Jiang (WeBank)

  • #666 Amortized Conditional Independence Testing

    Bao Duong (Deakin University); Nu Hoang (Deakin University)*; Thin Nguyen (Deakin University)

  • #672 Faper: Join Tree with Uncertainty Awareness for Faster, More Precise and Robust Cardinality Estimation

    Zihan Yan (University of Electronic Science and Technology of China); Junxin Zhu ( University of Electronic Science and Technology of China); Jincan Xiong (University of Electronic Science and Technology of China); Rui Xi (University of Electronic Science and Technology of China)*; Shuhuan Fan (University of Electronic Science and Technology of China); Mengshu Hou (University of Electronic Science and Technology of China)

  • #673 MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendation

    Yuqian Wu (Beijing Normal University-Hong Kong Baptist University United International College); Yuhong Peng (Beijing Normal University-Hong Kong Baptist University United International College); Jiapeng Yu (University of Warwick); Raymond Lee (Beijing Normal University-Hong Kong Baptist University United International College)*

  • #678 ACTGNN: Assessment of Clustering Tendency with Synthetically-Trained Graph Neural Networks

    Yiran Luo (University of California, Riverside)*; Evangelos Papalexakis (University of California, Riverside)

  • #680 Machine Learning Techniques for Data Reduction of Climate Applications

    Xiao Li (University of Florida)*; Qian Gong (Oak Ridge National Laboratory); Jaemoon Lee (University of Florida); Scott Klasky (Oak Ridge National Laboratory); Anand Rangarajan (University of Florida); Sanjay Ranka (University of florida)

  • #683 Enhancing Interpretability for Computational Personality Analysis in Education

    Ahmed Elmahalawy (School of Computer Science and Artificial Intelligence, Wuhan University of Technology); Lin Li (School of Computer Science and Artificial Intelligence, Wuhan University of Technology)*; Xiaohua Wu (School of Computer Science and Artificial Intelligence, Wuhan University of Technology); Xiaohui Tao (School of Mathematics, Physics, and Computing, University of Southern Queensland)

  • #690 From Persona to Person: Enhancing the Naturalness with Multiple Discourse Relations Graph Learning in Personalized Dialogue Generation

    Chih-Hao Hsu (National Cheng Kung University); Ying-Jia Lin (National Tsing Hua University)*; Hung-Yu Kao (National Tsing Hua University)

  • #698 Handling Korean Out-of-Vocabulary Words with Phoneme Representation Learning

    Nayeon Kim (Korea University)*; Eojin Jeon (Korea University); Jun-Hyung Park (Hankuk University of Foreign Studies); SangKeun Lee (Korea University)

  • #701 Achieving Fair PCA using Joint Eigenvalue Decomposition

    Vidhi Rathore (IIITH)*; Naresh Manwani (IIITH)

  • #718 On Leveraging Anomalies with Reference Alignment in Graph-Level Anomaly Detection

    Ye Xiao (The University of Sydney)*; Ruikun Li (The University of Sydney); Junbin Gao (The University of Sydney); Andrey Vasnev (The University of Sydney)

  • #722 EMAWNB: Enhanced Multi-view Attribute Weighted Naive Bayes

    Guanzhi Liu (Zhengzhou University); Kexin Meng (Zhengzhou University); Pei Lv (Zhengzhou University); Huan Zhang (Zhengzhou University)*

  • #737 Bridging Semantic and Emotional Gaps in Speech Emotion Recognition: A Novel LightGBM-Stacking Architecture

    Zhilong Duan (School of Computer Science and Technology, Dalian University of Technology); Lin Zhou (School of Computer Science and Technology, Dalian University of Technology); Degen Huang (School of Computer Science and Technology, Dalian University of Technology)*; Xuewen Shi (School of Data Science and Artificial Intelligence, Dongbei University of Finance and Economics)

  • #740 Large Language Model and Variational Autoencoder based Deep Neural Framework for Cyber Attack Detection

    Zhi Liu (Deakin University); Jyotheesh Gaddam (Deakin University); Shuo Huang (Monash University); ISHARA HERATH MUDIYANSELAGE (Deakin University); Ming Liu (Deakin University); Sutharshan Rajasegarar (Deakin University)*; Muneeb Ul Hassan (Deakin University); Luxing Yang (Deakin University); Gang Li (Deakin University); Maia Angelova (Aston University)

  • #747 Zero-Shot Machine Unlearning Using Generative Adversarial Network

    Ali Ghazal (Tartu Univeristy); Radwa El Shawi (Tartu University)*

  • #748 TiGer: Self-Supervised Purification for Time-evolving Graphs

    Hyeonsoo Jo (KAIST); Jongha Lee (KAIST); Fanchen Bu (KAIST); Kijung Shin (KAIST)*

  • #751 VISOR: VIsual Seizure Onset detection peRsonalized for epilepsy patients

    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)

  • #753 ComFairGNN: Community Fair Graph Neural Network

    Yonas Sium (Iowa State University)*; Qi Li (Iowa State University)

  • #760 LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-Modal Data

    Yifan Wang (University of Hawaii)*; Haodi Ma (University of Florida); Daisy Zhe Wang (University of Florida)

  • #763 Improving Generalization in Deep Neural Networks by Mitigating Memorization

    Yong Zhuang (Grand Valley State University); Tianyu Kang (University of Massachusetts Boston); Zhen Lu (University of Massachusetts Boston); Wei Ding (University of Massachusetts Boston); Ping Chen (University of Massachusetts Boston)*

  • #775 Semantic Knowledge Augmented Hypergraph Contrastive Representation Learning for Zero-Shot Biomedical Text Classification

    Ratri Mukherjee (University of Iowa)*; Kishlay Jha (University of Iowa)

Special Track on LLMs

  • #77 DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models

    Xiaolin Hu (Renmin Univeristy of China); Xiang Cheng (Renmin University of China); Peiyu Liu (University of International Business and Economics); Wei Liu (XiaoMi AI Lab); Jian Luan (XiaoMi AI Lab); Bin Wang (XiaoMi AI Lab); Yong Liu (Renmin University of China)*

  • #154 TabuLa: Harnessing Language Models for Tabular Data Synthesis

    Zilong Zhao (National University of Singapore)*; robert birke (University of Turin); Lydia Chen (TU Delft)

  • #212 Few-shot Unlearning for Large Language Models through Pretrained Soft Prompts

    ZEE HEN TANG (Academia Sinica)*; MI-YEN YEH (Academia Sinica)

  • #269 Prompt-Based Relation Extraction By Reasoning with Contextual Knowledge

    Haodi Zhang (Shenzhen University); Xinhe Zhang (Shenzhen University); Min Cai (Shenzhen University); Weicheng Wang (HKUST); Yuanfeng Song (WeBank)*

  • #297 Uni-MRL: Unified MultiModal Molecular Representation Learning with Large Language Models and Graph Neural Networks

    Jiaxin Ju (Griffith University)*; Yizhen Zheng (Monash University); Huan Yee Koh (Monash University); Shirui Pan (Griffith University)

  • #315 A Nested Zeroth-Order Fine-Tuning Approach for Cloud-Edge LLM Agents

    Ya Liu (Tongji University)*; Kai Yang (Tongji University); Yu Zhu (Tongji University); Keying Yang (Tongji University); Chengtao Jian (Tongji University); Wuguang Ni (Tongji University); Xiaozhou Ye (asiainfo); Ye Ouyang (asiainfo)

  • #330 SEval-Ex: A Statement-Level Framework for Explainable Summarization Evaluation

    Tanguy HERSERANT (AgroParisTech)*; Vincent Guigue (AgroParisTech)

  • #372 JailBench: A Comprehensive Chinese Security Assessment Benchmark for Large Language Models

    Shuyi Liu (Beijing University of Posts and Telecommunications)*; Simiao Cui (Beijing University of Posts and Telecommunications); Haoran Bu ( Beijing University of Posts and Telecommunications); Yu-ming Shang (Beijing University of Posts and Telecommunications); Xi Zhang (Beijing University of Posts and Telecommunications )

  • #390 FedDPG: An Adaptive Yet Efficient Prompt-tuning Approach in Federated Learning Settings

    Ali Shakeri (The University of Adelaide)*; Wei Zhang (The University of Adelaide); Amin Beheshti (Macquarie University); Weitong Chen (The University of Adelaide); Jian Yang (Macquarie University); Lishan Yang (The University of Adelaide)

  • #401 Improving Clinical Note Generation from Complex Doctor-Patient Conversation

    Yizhan Li (MILA)*; Sifan Wu (UdeM); Christopher Smith (Goodlabs); Thomas Lo (Goodlabs); Bang Liu (UdeM&MILA)

  • #407 Single-Agent vs. Multi-Agent LLM Strategies for Automated Student Reflection Assessment

    Gen Li (Kyushu University)*; Li Chen (Kyushu University); Cheng Tang ( Kyushu University); Valdemar Švábenský (Kyushu University); Daisuke Deguchi (Nagoya University); Takayoshi Yamashita (Chubu University); Atsushi Shimada (Kyushu University)

  • #436 Among Them: A game-based framework for assessing persuasion capabilities of LLMs

    Andrii Chmutov (Poznan University of Technology); Mateusz Idziejczak (Poznan University of Technology); Vasyl Korzavatykh (Poznan University of Technology); Mateusz Stawicki (Poznan University of Technology); Marcin Korcz (Poznan University of Technology); Iwo Bładek (Poznan University of Technology); Dariusz Brzezinski (Poznan University of Technology)*

  • #446 The Unexplored Potential of Vision-Language Models for Generating Large-Scale Complementary-Label Learning Data

    Mai-Tan Ha (National Taiwan University); Nai-Xuan Ye (National Taiwan University); Yu-Wei Kuan (National Taiwan University); Po-Yi Lu (National Taiwan University); Hsuan-Tien Lin (National Taiwan University)*

  • #472 A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio

    Ningyuan Xi (Geely Automobile Research Institute (Ningbo) Co., Ltd); Yetao Wu (Geely Automobile Research Institute (Ningbo) Co., Ltd); Kun Fan (Geely Automobile Research Institute (Ningbo) Co., Ltd); Teng Chen (Geely Automobile Research Institute (Ningbo) Co., Ltd); Qingqing Gu (Geely Automobile Research Institute (Ningbo) Co., Ltd); Luo Ji (Damo Academy, Alibaba Group)*

  • #493 Enhancing Message Sequence Charts with Spatial Knowledge

    Nitin Ramrakhiyani (TCS Research)*; Sachin Pawar (TCS Research); Girish Palshikar (TCS Research); Vasudeva Varma (IIIT Hyderabad)

  • #508 One Arrow, Many Targets: Probing LLMs for Multi-Attribute Controllable Text Summarization

    Tathagato Roy (International Institute of Information Technology Hyderabad)*; Rahul Mishra (International Institute of Information Technology Hyderabad)

  • #603 Analogy-Augmented Generation with Procedural Memory for Procedure Generation

    Kyle Roth (Université de Montréal)*; Rushil Gupta (Université de Montréal); Simon Halle (Thales Canada); Bang Liu (Université de Montréal)

  • #613 FinTab-LLaVA: Finance Domain-Specific Table Understanding Multimodal LLM using FinTMD

    Hyejin Park (Sungkyunkwan University); Jiyoon Lee (Sugnkyunkwan University); Hayoung Oh (Sungkyunkwan University)*

  • #644 DialRet: Enhancing Dialogue Retention for Multi-session Conversations

    Yohan Na (Hanyang University); Dahye Kim (Hanyang University); Dong-Kyu Chae (Hanyang University)*

  • #675 CoMAC: Conversational Agent for Multi-Source Auxiliary Context with Sparse and Symmetric Latent Interactions

    Junfeng Liu (North Carolina State University)*; Christopher Symons (Lirio Inc.); Ranga Raju Vatsavai (North Carolina State University)

  • #686 Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation

    SoYoung Park (Chungnam National University); Hyewon Lee (Chungnam National University); Mingyu Choi (Chungnam National University); Seunghoon Han (Chungnam National University); Jong-Ryul Lee (Chungnam National University); Sungsu Lim (Chungnam National University)*; Tae-Ho Kim (Nota, Inc.)

  • #704 AssistEM: Domain Instruction Tuning for Enhanced Entity Matching

    John Mugeni (AIST)*; Steven LYNDEN (aist); amagasa toshiyuki (University of Tsukuba); akiyoshi matono (AIST)

  • #733 Robust Unlearning for Large Language Models

    Kang Gu (Dartmouth College)*; Md Rafi Ur Rashid (Penn State University); Najrin Sultana (Penn State University); Shagufta Mehnaz (Penn State University)

  • #781 Language-Guided Adaptive Vision Token Pruning for Efficient Multimodal Large Language Models

    Omer Faruk Deniz (The University of Texas at Dallas)*; Tarik Arici (Amazon.com, Inc.); Fatemeh Sheikholeslami (Amazon.com, Inc.); Burak Gozluklu (Amazon.com, Inc.); Ameni Trabelsi (Amazon.com, Inc.); Suleiman Khan (Amazon.com, Inc.); Yapeng Tian (The University of Texas at Dallas); Latifur Khan (The University of Texas at Dallas )

Survey Track

  • #52 Misinformation and Disinformation in Generative AI---A Survey

    Ramya Srinivasan (Fujitsu Research of America)*

  • #191 A Survey on Neural Ordinary Differential Equations

    Bochao Zhang (Deakin University)*; Manzur Murshed (Deakin University); Zhi Cheng (Ekimetrics); Wei Luo (Deakin University)

  • #224 Generative AI for Tabular Data Synthesis

    Alex Wang (Victoria University of Wellington)*; Binh Nguyen (Victoria University of Wellington); Colin Simpson ( Victoria University of Wellington;Usher Institute, The University of Edinburgh)

  • #231 Arms Race in Deep Learning: A Survey of Backdoor Defenses and Adaptive Attacks

    Xiaoxing Mo (Deakin University)*; Nan Sun (UNSW Canberra); Leo Zhang (Griffith University); Wei Luo (Deakin University); Shang Gao (Deakin University); Yong Xiang (Deakin University)

  • #421 A Survey on Enhancing Causal Reasoning Ability of Large Language Models

    Xin Li (University of Technology Sydney); Zhuo Cai (University of Technology Sydney); Shoujin Wang (University of Technology Sydney)*; Kun Yu (University of Technology Sydney); Fang Chen (University of Technology Sydney)

  • #473 Multimodal Machine Learning for Real Estate Appraisal: A Comprehensive Survey

    Chenya Huang (The University of Technology Sydney )*; Bin Liang (The University of Technology Sydney); Zhidong Li (The University of Technology Sydney); Fang Chen (The University of Technology Sydney)

  • #502 Unsupervised Keyphrase Prediction: Methods and Evaluation

    Huiqian Wu (Shandong University)*; Yuqing Sun (Shandong University)

  • #567 Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions

    Hao Du (Hokkaido University); Shang Liu (China University of Mining and Technology); Lele Zheng (Institute of Science Tokyo); Yang Cao (Institute of Science Tokyo)*; Atsuyoshi Nakamura (Hokkaido University); Lei Chen (Hong Kong University of Science and Technology)

  • #575 Systematic Approaches to Fact Verification: Evidence Retrieval, Veracity Prediction, and Beyond

    Zhouhui Wu (University of New South Wales)*; Nan Sun ( University of New South Wales); Jiaojiao Jiang (University of New South Wales); Shuiqiao Yang (CSIRO)

  • #623 Multi-Behavior Recommender Systems: A Survey

    Kyungho Kim (KAIST); Sunwoo Kim (KAIST); Geon Lee (KAIST); Jinhong Jung (Soongsil University); Kijung Shin (KAIST)*

PAKDD 2025

The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining
10-13 June, 2025, Sydney Australia
© Copyright | PAKDD 2025