Detailed Program
| Wednesday June 11, 2025 | |||||
| Time/Room | Ionic Room (Ground floor) | Tuscan Room (Ground floor) | Composite Room (Ground floor) | Corinthian Room (Ground floor) | Boardroom (Fourth floor) |
| 08:00 - 17:00 | Registration (Ground floor) | ||||
| 08:30 - 09:00 | Opening (Ionic Room, Ground floor) | ||||
| 09:00 - 10:00 | Keynote (Ionic Room, Ground floor): Prof Hiroshi Ishiguro Session Chair: Lonbing Cao | ||||
| 10:00 - 10:30 | Tea Break (Doric Room, Ground floor) | ||||
| 10:30 - 12:30 | Session 1A Anomaly Detection | Session 1B Data Processing for Learning | Session 1C Business Data Analysis | Session 1D DSFA: LLMs | Session 1E DSFA: Machine Learning I |
| 12:30 - 13:30 | Lunch Break (Doric Room, Ground floor) | ||||
| 13:30 - 14:30 | PAKDD Distinguished Research Contributions Award Talk (Ionic Room): Prof Philip Yu | ||||
| 14:30 - 16:00 | Session 2A Machine Learning I | Session 2B Learning on Scientific Data I | Session 2C Representation/Generative AI | Session 2D DSFA: Trustworthiness | Session 2E Survey I |
| 16:00 - 16:30 | Tea Break (Doric Room, Ground floor) | ||||
| 16:30 - 18:00 | Session 3A Machine Learning II | Session 3B Learning on Scientific Data II | Session 3C LLM Applications | Session 3D Machine Learning Application | Session 3E Survey II |
| Session Name | Paper Information |
| 1A: Anomaly Detection Session Chair: Jiaojiao Jiang | 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) |
| 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) | |
| 96 - Random Similarity Isolation Forests Sebastian Chwilczyński (Poznan University of Technology); Dariusz Brzezinski (Poznan University of Technology)* | |
| 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)* | |
| 211 - Tailored Bipartite Graph Anomaly Detection via Fixed-Attention Network Shaowen Tang (University of New South Wales)*; Raymond Wong (University of New South Wales) | |
| 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) | |
| 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)) | |
| 388 - MDVAD: Multimodal Diffusion for Video Anomaly Detection Kijung Lee (Yonsei University); Youngwan Jo (Yonsei University); Sunghyun Ahn (Yonsei University); Sanghyun Park (Yonsei University)* | |
| 1B: Data Processing for Learning Session Chair: Myra Spiliopoulou | 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) |
| 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)* | |
| 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) | |
| 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) | |
| 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) | |
| 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) | |
| 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) | |
| 701 - Achieving Fair PCA using Joint Eigenvalue Decomposition Vidhi Rathore (IIITH)*; Naresh Manwani (IIITH) | |
| 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) | |
| 1C: Business Data Analysis Session Chair: Jun Shen | 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) |
| 157 - FGPA: An Integrated Framework for Mutual Fund Grouping and Group Persistence Assessment Meng Zou (Southern Asset Management)*; Quan You (Southern Asset Management) | |
| 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) | |
| 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) | |
| 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) | |
| 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) | |
| 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) | |
| 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) | |
| 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)* | |
| 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) | |
| 1D: DSFA: LLMs Session Chair: Ernestina Menasalvas | 393 - Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection Ying Fu LIM (Singapore Management University); JIAWEN ZHU (Singapore Management University)*; Guansong Pang (Singapore Management University) |
| 180 - Bot Wars Evolved: Orchestrating Competing LLMs in a Counterstrike Against Phone Scams nardine basta (Macquarie University)*; Conor Atkins (Macquarie University); Dali Kaafar (Macquarie University) | |
| 484 - Large Language Models with Multi-Faceted Relation Alignment for User Novel Interest Discovery Shuxian Bi (University of Science and Technology of China)*; Wenjie Wang (National University of Singapore); Moxin Li (National University of Singapore); Chongming Gao (University of Science and Technology of China); Fuli Feng (University of Science and Technology of China) | |
| 727 - Estimating Impact of Behavior Change Messages Using Large Language Models Takuya Okada (Yokohama City University); Yoshiaki Takimoto (NTT); Takeshi Kurashima (NTT); Hiroyuki Toda (Yokohama City University )* | |
| 322 - VisCon-100K: Leveraging Contextual Web Data for Fine-tuning Vision Language Models Gokul Karthik Kumar (Technology Innovation Institute)*; Iheb Chaabane (Technology Innovation Institute); Kebin Wu (Technology Innovation Institute) | |
| 179 - TRAWL: Tensor Reduced and Approximated Weights for Large Language Models Yiran Luo (University of California, Riverside); Het Patel (University of California, Riverside)*; Yu Fu (University of California, Riverside); Dawon Ahn (University of California, Riverside); Jia Chen (University of California, Riverside); Yue Dong (University of California, Riverside); Evangelos Papalexakis (University of California, Riverside) | |
| 553 - DAG-Think-Twice: Causal Structure Guided Elicitation of Causal Reasoning in Large Language Model Zheyuan Deng (University of Western Australia)*; pascal sun (University of Western Australia); jichunyang li (University of Western Australia); Wei Liu (University of Western Australia) | |
| 598 - GRL-Prompt: Towards Prompts Optimization via Graph-empowered Reinforcement Learning using LLMs’ Feedback Yuze Liu (Swinburne University of Technology)*; Tingjie Liu (Guangdong Laboratory of Artificial Intelligence (SZ) ); Tiehua Zhang (Tongji University ); Youhua Xia (Guangdong Laboratory of Artificial Intelligence (SZ) ); Jinze Wang (Swinburne University of Technology); Zhishu Shen (Wuhan University of Technology); Jiong Jin (Swinburne University of Technology ); Zhijun Ding (Tongji University); Fei Richard Yu (Shenzhen University) | |
| 140 - A Meta-Thinking Approach to Mitigating Linguistic Sycophancy in Vision-Language Models Chinh Hoang (University of Nebraska-Lincoln); Nathan Roberts (University of Nebraska-Lincoln); Mohammad Hasan (University of Nebraska-Lincoln)* | |
| 1E: DSFA: Machine Learning I Session Chair: Muyang Li | 458 - Disentangled Representation Learning for Geospatial-temporal Data Modeling siyuan ren (Xi'an Modern Control Technology Research Institute); guannan chang (Xi'an Modern Control Technology Research Institute); luqi jing (Xi'an Modern Control Technology Research Institute); zhenghong wu (Xi'an Modern Control Technology Research Institute); shuailin chen (Xi'an Modern Control Technology Research Institute); qianru wang (Xidian University)* |
| 499 - Treatment Effect Estimation for Graph-Structured Targets Shonosuke Harada (Kyoto University)*; Ryosuke Yoneda (Kyoto University); Hisashi Kashima (Kyoto University) | |
| 137 - Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies Yuan-Chih Yang (National Central University); Hung-Hsuan Chen (National Central University)* | |
| 693 - The Brownian Integral Kernel: A New Kernel for Modeling Integrated Brownian Motions Bela Böhnke (Karlsruher Institut für Technologie (KIT))*; Klemens Böhm (Karlsruher Institut für Technologie (KIT)); edouard fouche (Siemens Deutschland) | |
| 134 - Fed-ARIMA-OPARBFN: an ensemble model for cross domain crop yield time series prediction based on federated learning Shiqi Xu (Northwest A&F University); Shuqin Li (Northwest A&F University)*; 天艺 宋 (西北农林科技大学) | |
| 420 - S-CPD: Topological Smoothing-Based Change Point Detection Harindu Udage Kankanange (University of Melbourne)*; Christopher Leckie (University of Melbourne); Sarah Monazam Erfani (University of Melbourne) | |
| 205 - VDASI: VAE-Enhanced Degradation-Aware System Identification using Constrained Latent Spaces Saumya Karunadhika (The University of Melbourne)*; Ling Luo (The University of Melbourne); Bastian Oetomo (The University of Melbourne); Michele Discepola (The University of Melbourne); Uwe Aickelin (The University of Melbourne) | |
| 164 - Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning Kohei Obata (Osaka University)*; Taichi Murayama (Yokohama National University); Zheng Chen (Osaka University); Yasuko Matsubara (Osaka University); Yasushi Sakurai (Osaka University) | |
| 246 - PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting Yanhong Li (Santa Clara University); David Anastasiu (Santa Clara University)* | |
| 589 - Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers Amelia Genova (CSIRO and ANU); Huidong Jin (CSIRO)*; John Taylor (ANU); Joel Dabrowski (CSIRO); Peter Toscas (CSIRO); Klaus Joehnk (CSIRO) | |
| 2A: Machine Learning I Session Chair: David C. Anastasiu | 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) |
| 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) | |
| 200 - GBCE: Enhanced Training Loss to Estimate Accuracy of Models in Production Ryuta Matsuno (NEC Corporation)* | |
| 14 - AgingFedNAS: Aging Evolution Federated Deep Learning for Architecture and Hyperparameter Search Radwa El Shawi (Tartu 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) | |
| 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) | |
| 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)* | |
| 2B: Learning on Scientific Data I Session Chair: Ernestina Menasalvas | 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) |
| 775 - Semantic Knowledge Augmented Hypergraph Contrastive Representation Learning for Zero-Shot Biomedical Text Classification Ratri Mukherjee (University of Iowa)*; Kishlay Jha (University of Iowa) | |
| 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) | |
| 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)* | |
| 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) | |
| 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) | |
| 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) | |
| 2C: Representation Learning/Generative AI Session Chair: Shridhar B. Devamane | 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)* |
| 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) | |
| 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) | |
| 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)) | |
| 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) | |
| 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) | |
| 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) | |
| 2D: DSFA: Trustworthiness Session Chair: Depeng Xu | 266 - Inversion Triplet - A Contrastive Backdoor Mitigation Method for Self-Supervised Vision Encoders Hiep Vo (University of Technology Sydney)*; Zhiyi Tian (University of Technology Sydney); Chenhan Zhang (Macquarie University); James Zheng (Macquarie University); Shui Yu (University of Technology Sydney) |
| 110 - Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection Shixiong Li (University of Massachusetts Lowell); Xingyu Lyu (University of Massachusetts Lowell); Ning Wang (University of South Florida); Tao Li (Purdue University); Danjue Chen (North Carolina State University); Yimin Chen (University of Massachusetts Lowell)* | |
| 663 - Defence Against Multi-target Multi-trigger Backdoor Attack HARIPRIYA HARIKUMAR (DEAKIN UNIVERSITY)*; Santu Rana (Applied Artificial Intelligence Institute (A2I2), Deakin University); Kien Do (Applied Artificial Intelligence Institute (A2I2), Deakin University); Sunil Gupta (Applied Artificial Intelligence Institute (A2I2), Deakin University); Wei Zong (University of Wollongong); Willy Susilo (University of Wollongong); Svetha Venkatesh (Applied Artificial Intelligence Institute (A2I2), Deakin University) | |
| 676 - How to Backdoor Consistency Models? Chengen Wang (University of Texas at Dallas)*; Murat Kantarcioglu (University of Texas at Dallas) | |
| 80 - Multi-granularity Policy Explanation of Deep Reinforcement Learning Based on Saliency Map Clustering Yujiao Wang (Beijing University of Posts and Telecommunications)*; Hai Huang (Beijing University of Posts and Telecommunications); Xingquan Zuo (Beijing University of Posts and Telecommunications) | |
| 414 - FACROC: a fairness measure for FAir Clustering through ROC curves Tai Le Quy (University of Koblenz)*; Long Le Thanh (Hanoi University of Science and Technology); Lan Luong Thi Hong (Hanoi University of Industry); Frank Hopfgartner (University of Koblenz) | |
| 2E: Survey I Session Chair: Chih-Ya Shen | 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) |
| 52 - Misinformation and Disinformation in Generative AI---A Survey Ramya Srinivasan (Fujitsu Research of America)* | |
| 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) | |
| 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) | |
| 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) | |
| 3A: Machine Learning II Session Chair: Hui Chen | 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) | |
| 635 - Vertical Federated Learning Across Second-hop Parties Zikai Dou (McMaster University )*; Fei Chiang (McMaster 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) | |
| 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) | |
| 358 - CrossFL: An 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) | |
| 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) | |
| 3B: Learning on Scientific Data II Session Chair: Can Wang | 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) |
| 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) | |
| 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) | |
| 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) | |
| 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) | |
| 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) | |
| 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) | |
| 3C: LLM Application Session Chair: Ji Zhang | 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)* |
| 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) | |
| 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) | |
| 493 - Enhancing Message Sequence Charts with Spatial Knowledge Nitin Ramrakhiyani (TCS Research)*; Sachin Pawar (TCS Research); Girish Palshikar (TCS Research); Vasudeva Varma (IIIT Hyderabad) | |
| 613 - FinTab-LLaVA: Finance Domain-Specific Table Understanding Multimodal LLM using FinTMD Hyejin Park (Sungkyunkwan University); Jiyoon Lee (Sugnkyunkwan University); Hayoung Oh (Sungkyunkwan University)* | |
| 154 - TabuLa: Harnessing Language Models for Tabular Data Synthesis Zilong Zhao (National University of Singapore)*; robert birke (University of Turin); Lydia Chen (TU Delft) | |
| 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) | |
| 3D: Machine Learning Application Session Chair: Matej Mihelcic | 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) |
| 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)* | |
| 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)* | |
| 644 - DialRet: Enhancing Dialogue Retention for Multi-session Conversations Yohan Na (Hanyang University); Dahye Kim (Hanyang University); Dong-Kyu Chae (Hanyang University)* | |
| 3E: Survey II Session Chair: Leo Zhang | 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 in Social Good: Progress, Challenges, and Future Prospects Alex Wang (Victoria University of Wellington)*; Binh Nguyen (Victoria University of Wellington); Colin Simpson ( Victoria University of Wellington;Usher Institute, The University of Edinburgh) | |
| 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) | |
| 502 - Unsupervised Keyphrase Prediction: Methods and Evaluation Huiqian Wu (Shandong University)*; Yuqing Sun (Shandong University) | |
| 623 - Multi-Behavior Recommender Systems: A Survey Kyungho Kim (KAIST); Sunwoo Kim (KAIST); Geon Lee (KAIST); Jinhong Jung (Soongsil University); Kijung Shin (KAIST)* |