Special Session
This special session on Data Science: Foundations and Applications (DSFA) handles those submissions transferred from the main, special, and survey tracks. Those papers accepted by this special session
- Will be presented at the conference on its main conference days at its special technical sessions.
- Will be published in the Workshop Proceedings in the Special Session part.
- Must pay a Regular Registration for each paper to be included in the conference program and workshop proceedings.
- Can enjoy the same benefits as the papers accepted by the Main, Special, and Survey tracks.
Accepted papers
#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)
#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)
#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)
#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)
#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)*
#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)*
#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)
#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)
#137 Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies
Yuan-Chih Yang (National Central University); Hung-Hsuan Chen (National Central 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)
#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)
#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)
#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)
#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)
#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)
#220 Time-Aware Complex Attention Space for Temporal Knowledge Graph Completion
Rushan Geng (University of Chinese Academy of Sciences)*; Cuicui Luo (UCAS)
#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)*
#246 PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting
Yanhong Li (Santa Clara University); David Anastasiu (Santa Clara University)*
#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)
#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)
#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)*
#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)
#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)
#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)
#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)
#357 Late fusion ensembles for speech recognition on diverse input audio representations
Marin Jezidžić (Project 3 Mobility); Matej Mihelči (Department of Mathematics, Faculty of Science, University of Zagreb)*
#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)
#415 Corporate Carbon Emission Prediction : Combining Structured and Unstructured Data
佳官 沈 (中央财经大学)*
#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)
#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)
#427 Determining the Need for Multi-label Classifiers by Measuring Unexplained Covariance
Laurence Park (Western Sydney University)*; Jesse Read (École Polytechnique)
#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)
#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)*
#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)
#499 Treatment Effect Estimation for Graph-Structured Targets
Shonosuke Harada (Kyoto University)*; Ryosuke Yoneda (Kyoto University); Hisashi Kashima (Kyoto University)
#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)
#527 Hunting Inside N-Quantiles of Outliers (Hino)
Colonval Jessy (Femto-st Institute)*; Fabrice Bouquet (Femto-st Institute)
#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)
#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)
#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)*
#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)
#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))
#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)*
#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)
#663 Defense Against Multi-target Multi-trigger Backdoor Attacks
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)
#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)
#676 How to Backdoor Consistency Models?
Chengen Wang (University of Texas at Dallas)*; Murat Kantarcioglu (University of Texas at Dallas)
#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)
#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)
#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)
#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)*
#730 A Multimodal Fusion Model Leveraging MLP Mixer and Handcrafted Features-based 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)
#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)
#773 CANTER: 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)
#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)*
#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)
#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)
#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)
#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)
#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)
#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)
#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 )*
#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)
#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)
#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)