Detailed Program
| Friday June 13, 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 | AI Forum Opening (Ionic Room) | ||||
| 09:00 - 10:00 | Keynote/AI Forum (Ionic Room): Prof Jon Whittle Session Chairs: Elizabeth Whitelock/Suresh Sood | ||||
| 10:00 - 10:30 | Tea Break (Doric Room, Ground floor) | ||||
| 10:30 - 12:30 | AI Forum | Session 5A Temporal Learning | Session 5B LLM Fine-Tuning and Prompt Engineering | Session 5C DSFA: Learning on Complex Data | Session 5D DSFA: Scientific/Business Data Analysis |
| 12:30 - 13:30 | Lunch Break (Marble Foyer, Level 1) | ||||
| 13:30 - 15:00 | AI Forum | Session 6A OOD and Optimization | Session 6B Multi-modality | Session 6C DSFA: Survey | Session 6D DSFA: Graph Mining |
| 15:00 - 15:30 | Tea Break (Doric Room, Ground floor) | ||||
| 15:30 - 16:30 | AI Forum | Session 7A DSFA: Representation Learning | Session 7B DSFA: Machine Learning II | Session 7C DSFA: Machine Learning Applications | |
| 16:30 - 17:00 | Closing Ceremony (Ionic Room) | ||||
| 17:00 - 18:00 | Networking (Doric Room) | ||||
| Session Name | Paper Information |
| 5A: Temporal Learning Session Chair: Xintao Wu | 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) |
| 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)* | |
| 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) | |
| 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) | |
| 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) | |
| 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) | |
| 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) | |
| 377 - Rule-Validated Negative Sampling for Temporal Knowledge Graphs Naimeng Yao (University of Tasmania)*; Qing Liu (Data61, CSIRO); Quan Bai (University of Tasmania) | |
| 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) | |
| 5B: LLM Fine-tuning and Prompt Engineering Session Chair: Zhangkai Wu | 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) |
| 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)* | |
| 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)* | |
| 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) | |
| 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)* | |
| 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.) | |
| 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)* | |
| 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)* | |
| 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) | |
| 704 - AssistEM: Domain Instruction Tuning for Enhanced Entity Matching John Mugeni (AIST)*; Steven LYNDEN (aist); amagasa toshiyuki (University of Tsukuba); akiyoshi matono (AIST) | |
| 5C: DSFA: Learning on Complex Data Session Chair: Can Wang | 605 - Action Sequence Analysis Using Temporal Commonsense Knowledge Steven Lynden (National Institute of Advanced Industrial Science and Technology (AIST))*; Kyoung-Sook Kim (National Institute of Advanced Industrial Science and Technology (AIST)); Akiyoshi Matono (National Institute of Advanced Industrial Science and Technology (AIST)); Hai-Tao Yu ( Institute of Library, Information and Media Science, Tsukuba University); Xin Liu (National Institute of Advanced Industrial Science and Technology (AIST)) |
| 539 - Foundation Model for Lossy Compression of Spatiotemporal Scientific Data Xiao Li (University of Florida)*; Jaemoon Lee (University of Florida); Anand Rangarajan (University of florida); Sanjay Ranka (University of florida) | |
| 773 - A Novel Causal Model for Tourism Demand Forecasting Xin Han (Deakin University); Haiyang Xia (Australian National University); Ye Zhu (Deakin University)*; Gang Li (Deakin University); Rob Law (University of Macau) | |
| 220 - Time-Aware Complex Attention Space for Temporal Knowledge Graph Completion Rushan Geng (University of Chinese Academy of Sciences)*; Cuicui Luo (UCAS) | |
| 454 - Adaptive Extraction of Variable-Length Subsequence Patterns in Noisy Time Series Ke Zhang (the Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences); Jiangyong Duan (the Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences)*; Tiantian Yang (the Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences); Hongfei Wang (the Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences); Congmin Lv (the Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences) | |
| 527 - Hunting inside n-quantiles of outliers (Hino) Colonval Jessy (Femto-st Institute)*; Fabrice Bouquet (Femto-st Institute) | |
| 650 - Fast Approximation Algorithm for Euclidean Minimum Spanning Tree Building in High Dimensions Keito Kido (Osaka University); Daichi Amagata (Osaka University)*; Takahiro Hara (Osaka University) | |
| 664 - ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton Wei-Yao Wang (National Yang Ming Chiao Tung University)*; Wen-Chih Peng (National Yang Ming Chiao Tung University); Wei Wang (University of California, Los Angeles) | |
| 305 - Offline Map Matching Based on Localization Error Distribution Modeling Ruilin XU (South University of Science and Technology)*; Yuchen Song (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences); Kaijie Li (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences); Xitong Gao (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences); Kejiang Ye (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences); Juanjuan Zhao (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences) | |
| 5D: DSFA: Scientific/Business Data Analysis Session Chair: Myra Spiliopoulou | 730 - A Multimodal Fusion Model Leveraging Handcrafted Features and Pretrained Deep Learning Networks for Facial Palsy Detection Nicole Oo (Singapore Management University); Min Hun Lee (Singapore Management University)*; Jeong Hoon Lim (National University of Singapore) |
| 343 - Using Pseudo-Synonyms to Generate Embeddings for Clinical Terms Santosh Purja Pun (Western Sydney University)*; Oliver Obst (Western Sydney University); Jim Basilakis (Western Sydney University); Jeewani Anupama Ginige (Western Sydney University) | |
| 415 - Corporate Carbon Emission Prediction : Combining Structured and Unstructured Data 佳官 沈 (中央财经大学)* | |
| 331 - GDCK: Efficient Large-Scale Graph Distillation utilizing a Model-free Kernelized Approach Yue Zhang (Technische Universität Berlin)*; Zongxiong Chen (Fraunhofer Institute for Open Communication Systems); Qian Liu (Fraunhofer Institute for Open Communication Systems); Sonja Schimmler (Fraunhofer Institute for Open Communication Systems); Manfred Hauswirth (Fraunhofer Institute for Open Communication Systems) | |
| 162 - Efficient DNA fragment assembly based on Discrete slime mould algorithm Shuqing Si (Dalian University); Ben Cao (Dalian University of Technology)*; Qi Shao (Dalian University); Lijun Sun (Dalian University of Technology); Yanfen Zheng (Dalian University of Technology); Bin Wang (Dalian University); Pan Zheng (University of Canterbury) | |
| 587 - Multi-Scale Control Model for Network Group Behavior Fuyuan Ma (Jilin University); Yuhan Wang (Jilin University); Shixuan Ma (Jilin University); Yongzhen Li (Jilin University); Ying Wang (Jilin University)* | |
| 684 - Can Self Supervision Rejuvenate Similarity-Based Link Prediction? Chenhan Zhang (Macquarie University)*; Weiqi Wang (University of Technology Sydney); Zhiyi Tian (University of Technology Sydney); James Yu (University of York); Dali Kaafar (Macquarie University); An Liu (Soochow University); Shui Yu (University of Technology Sydney) | |
| 345 - Managing Data Uncertainty in Automatic Mapping of Clinical Classification Systems Santosh Purja Pun (Western Sydney University)*; Oliver Obst (Western Sydney University); Jim Basilakis (Western Sydney University); Jeewani Anupama Ginige (Western Sydney University) | |
| 145 - Insomnia Detection Based on Brain State Sleep Trajectories Xiaojing Ren (usyd); Irena Koprinska (University of Sydney)*; Natalie Astalosh (University of Sydney); Stephen McCloskey (University of Sydney); Bryn Jeffries (The University of Sydney) | |
| 130 - MCA: Multimodal Contrastive Augmentation for Medical Report Generation 俊佚 刘 (beihang university)*; Tao Wan (Beihang University); Zengchang Qin (Intelligent Computing & Machine Learning Lab, School of ASEE, Beihang University) | |
| 6A: OOD and Optimization Session Chair: Zhiyi Tian | 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)* |
| 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) | |
| 576 - Parameter Estimation in Cognitive Diagnosis: A light-weight Neural Network Solution Qiang Li (Huainan Normal University); Binbin Wang (Huainan Normal University)* | |
| 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) | |
| 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) | |
| 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) | |
| 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) | |
| 6B: Multi-modality Session Chair: Chenhan Zhang | 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) |
| 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) | |
| 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) | |
| 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) | |
| 227 - Multimodal Contrastive Learning for Dialogue Embeddings with Global and Local Views Jihyeon Oh (Sogang University); Subeen Choe (Sogang University); Jihoon Yang (Sogang University)* | |
| 470 - Focus On What Matters: Guiding Vision Transformers Towards Justification Thomas John (Indian Institute of Technology, Palakkad)*; Mrinal Das (Indian Institute of Technology, Palakkad) | |
| 511 - Informed Augmentation Selection Improves Tabular Contrastive Learning Arash Khoeini (Simon Fraser University)*; Shuman Peng (Simon Fraser University); Martin Ester (Simon Fraser University) | |
| 6C: DSFA: Survey Session Chair: Xintao Wu | 195 - Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions Nan Sun (University of New South Wales Canberra)*; Yuantian Miao (The University of Newcastle); Xiaoxing Mo (Deakin University); Jun Zhang (Swinburne University of Technology) |
| 374 - A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping Wenfeng Jia (Charles Sturt University)*; Bin Liang (University of Technology Sydney); Yuxi Lu (University of Technology Sydney); Muhammad Arif Khan (Charles Sturt University); Lihong Zheng (Charles Sturt University) | |
| 647 - A Survey of Foundation Models for Environmental Science Runlong Yu (University of Pittsburgh)*; Shengyu Chen (University of Pittsburgh); Yiqun Xie (University of Maryland, College Park); Xiaowei Jia (University of Pittsburgh) | |
| 244 - A Survey on Efficient Graph Reachability Queries Huangleshuai He (University of New South Wales); Zhengyi Yang (University of New South Wales)*; Dong Wen (University of New South Wales); Wenqian Zhang (University of New South Wales); Michael Yu (Chinese University of Hong Kong); Wenke Yang (Enmotech Data AU); Wenjie Zhang (University of New South Wales) | |
| 6D: DSFA: Graph Mining Session Chair: Ranran Bian | 702 - MuCo-KGC: Multi-Context-Aware Knowledge Graph Completion Haji Gul (University Brunei Darussalam); Abdul Ghani Naim (University Brunei Darussalam); Ajaz Bhat (University Brunei Darussalam)* |
| 732 - Tensor-Fused Multi-View Graph Contrastive Learning Yujia Wu (New York University )*; Junyi Mo (New York University); Elynn Chen (New York University); Yuzhou Chen (University of California, Riverside) | |
| 238 - FOG: Feature-Oriented Graph Neural Networks for Tabular Data Teng-Yuan Tsou (National Cheng Kung University); Pei-Xuan Li (National Cheng Kung University); Fandel Lin (University of Southern California); Hsun-Ping Hsieh (National Cheng Kung University)* | |
| 68 - High Resolution Image Classification with Rich Text Information Based on Graph Convolution Neural Network SIYI HAN (Fudan University); Jing Zhou (Renmin University of China)*; Xuening Zhu (Fudan University); Zhe Li (Fudan University); Jie Liu (Hohai University); Hansheng Wang (Peking Univeristy ); Yibing Gong (Beijing Ledi Yitian Technology Co., Ltd) | |
| 296 - Time Interval Aware Graph Neural Networks for Session-Based Recommendation Zekun Xu (Nanjing University of Aeronautics and Astronautics); Xiaoxue Li (Nanjing University of Aeronautics and Astronautics); Zanzuo Yin (Nanjing University of Aeronautics and Astronautics); Xinyue Liu ( Nanjing University of Aeronautics and Astronautics); Junnan Zhuo (Nanjing University of Aeronautics and Astronautics); Shuai Xu (Nanjing University of Aeronautics and Astronautics); Xiao Zhang (Northwestern Polytechnical University); Bohan Li (Nanjing University of Aeronautics and Astronautics)* | |
| 462 - SSGNN: Structure-aware Scoring Graph Neural Network for Molecular Representation Chunyan Han (Northeastern University)*; Haodong Zhang (Northeastern University); Chen Lu (Northeastern University); Yuntai Ding (Northeastern University); Xingqi Li (Northeastern University) | |
| 688 - Mint An Efficient and Robust In-Place Update Approach for Graph-based Vector Index Wentao Xiao (University of Electronic Science and Technology of China)*; yueyang zhan (University of Electronic Science and Technology of China); rui Xi (University of Electronic Science and Technology of China); Zhuohan Hou (University of Electronic Science and Technology of China); Jianming Liao (University of Electronic Science and Technology of China); Yufang Sun (Chengdu Technological University) | |
| 7A: DSFA: Representation Learning Session Chair: Xintao Wu | 357 - Late fusion ensembles for speech recognition on diverse input audio representations Marin Jezidžić (Project 3 Mobility); Matej Mihelčić (Department of Mathematics, Faculty of Science, University of Zagreb)* |
| 69 - Text Enhancement-based Multimodal Fusion for Video Sentiment Analysis JUNHAO LUO (School of Computing and AI, Southwest Jiaotong University); YAN ZHU (School of Computing and AI, Southwest Jiaotong University)*; YIQIANG PENG (Xihua University) | |
| 177 - Advancing Rubric-based Automated Essay Scoring with Multi-View BERT: A Case Study in New Zealand Jie Dong (Victoria University of Wellington)*; Yi Mei (Victoria University of Wellington); Xiaoying Gao (Victoria University of Wellington) | |
| 425 - A Script Event Prediction Method Based on Multi-Level Joint Pretraining and Prompt Fine-Tuning zhen Chen (Xinjiang University)*; wenzhong Yang (Xinjiang University); zhonghua Wu (Xinjiang University); fuyuan Wei (Xinjiang University) | |
| 7B: DSFA: Machine Learning II Session Chair: Shridhar B. Devamane | 111 - CNO-former: Chaotic Neural Oscillatory Transformer for Social Media Text Generation Nuobei Shi (Beijing Normal University-Hong Kong Baptist University United International College); Jiapeng Yu ( Beijing Normal University-Hong Kong Baptist University United International College); Hengyi Luo (Beijing Normal University-Hong Kong Baptist University United International College); Jing Ma (Hong Kong Baptist Univesity); Raymond Lee (Beijing Normal University-Hong Kong Baptist University United International College)* |
| 523 - Multilingual Non-Factoid Question Answering with Answer Paragraph Selection Ritwik Mishra (Indraprastha Institute of Information Technology Delhi )*; Sreeram Vennam (IIITH); Ponnurangam Kumaraguru (IIITH); Rajiv Ratn Shah (IIITD) | |
| 275 - Turning Uncertainty to Information by Intervals in Ensemble Classifiers mansoureh maadi (The university of Melbourne)*; Uwe Aickelin (The university of Melbourne); Hadi Akbarzadeh khorshidi (The University of Melbourne); Michael Kirley (The university of Melbourne) | |
| 427 - Determining the need for Multi-label Classifiers by measuring unexplained covariance Laurence Park (Western Sydney University)*; Jesse Read (École Polytechnique) | |
| 556 - Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics Yash Ranjan (University of Florida)*; Rahul Sengupta (University of Florida); Anand Rangarajan (University of Florida); Sanjay Ranka (University of Florida) | |
| 7C: DSFA: Machine Learning Applications Session Chair: Yu Yao | 174 - Advancing Comprehensive Aspect-Based Sentiment Analysis with Generative Models Bisma Ayaz (Victoria University of Wellington)*; Xiaoying Gao (Victoria University of Wellington ); Bing Xue (Victoria University of Wellington ) |
| 176 - A Systematic Evaluation of Generative Models on Tabular Transportation Data Chengen Wang (University of Texas at Dallas)*; Alvaro Cardenas (UCSC); Gurcan Comert (Benedict College); Murat Kantarcioglu (University of Texas at Dallas) | |
| 607 - SDF-Guided Multi-modal Big Data Road Extraction kun feng (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); juan juan zhao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); ke jiang ye (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); xi tong gao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences)* | |
| 109 - Player Movement Predictions Using Team and Opponent Dynamics for Doubles Badminton Pei-Chieh Sung (National Yang Ming Chiao Tung University); Hsu-Chao Lai (National Yang Ming Chiao Tung University)*; YA-CHUN CHANG (National Yang Ming Chiao Tung University); Jhy-Cheng Huang (National Yang Ming Chiao Tung University); Jiun-Long Huang (National Yang Ming Chiao Tung University) |