May 8, 2024 (Wednesday)
08:00-17:00 Registration
08:30-09:00 Conference Opening
09:00-10:00 Keynote Speech 1
The LLM (Large Language Model) Revolution: Implications from Chatbots and Tool-use to Reasoning
(by Dr. Ed H. Chi)
10:00-10:20 Coffee Break
10:20-12:00 Session 1A
Information Retrieval and Search
Session 1B
Reinforcement Learning
Session 1C
Graph Neural Networks
Session 1D
Classification and Clustering
12:00-13:10 Lunch
13:10-15:10 Industrial Session I
Session 2A
Graph Learning and Social Networks
Session 2B
Online, Streaming, and Graph Algorithms
15:10-15:30 Coffee Break

Industrial Session II

Session 3A
Deep Learning
Session 3B
Behavioral Data Mining
Session Name Paper Information

Information Retrieval and Search

Session Chair:
Hung-Hsuan Chen
(National Central University)

DQAC: Detoxifying Query Auto-Completion with Adapters
Aishwarya Maheswaran (IIT Hyderabad)*; Kaushal Kumar Maurya (IIT Hyderabad); Manish Gupta (Microsoft,India); Maunendra Sankar Desarkar (IIT Hyderabad)
GViG: Generative Visual Grounding using Prompt-based Language Modeling for Visual Question Answering
Yi-Ting Li (National Cheng Kung University)*; Ying-Jia Lin (National Cheng Kung University); Chia-Jen Yeh (National Cheng Kung University); ChunYi Lin (NCKU); Hung-Yu Kao (National Cheng Kung University)
Conditional Denoising Diffusion for Sequential Recommendation
Yu Wang (UIC)*; Zhiwei Liu (Salesforce); Liangwei Yang (University of Illinois at Chicago); Philip S Yu (UIC)
A New Loss for Image Retrieval: Class Anchor Margin
Alexandru Ghita (University of Bucharest); Radu Tudor Ionescu (University of Bucharest)*
Semantic Completion: Enhancing Image-Text Retrieval with Information Extraction and Compression
Xue Chen (East China University of Science and Technology)*;Yi Guo (ecust)

Interpreting Pretrained Language Models via Concept Bottlenecks
Zhen Tan (Arizona State University)*; Lu Cheng (University of Illinois Chicago); Song Wang (University of Virginia); Bo Yuan (Zhejiang University); Jundong Li (University of Virginia); Huan Liu (Arizona State University)

Reinforcement Learning

Session Chair:
Mi-Yen Yeh
(Academia Sinica)

Meta-Reinforcement Learning Algorithm Based on Reward and Dynamic Inference
Jinhao Chen (Beijing University of Posts and Telecommunications); Chunhong Zhang (Beijing University of Posts and Telecommunications); Zheng Hu (Beijing University of Posts and Telecommunications)*
MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading
Xi Cheng (Institute of Automation, Chinese Academy of Sciences)*; Jinghao Zhang (CRIPAC, NLPR, CASIA); Yunan Zeng (CASIA); Wenfang Xue (Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science)
Multi-Agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations
Lo Pang-Yun Ting (National Cheng Kung University); Chi-Chun Lin (National Cheng Kung University); Shih-Hsun Lin (National Cheng Kung University); Yu-Lin Chu (National Cheng Kung University); Kun-Ta Chuang (National Cheng Kung University)*
Towards Cost-Efficient Federated Multi-Agent RL with Learnable Aggregation
Yi Zhang (The University of Queensland); Sen Wang (The University of Queensland); Zhi Chen (The University of Queensland); Xuwei Xu (The University of Queensland); Stano Funiak (CSIRO); Jiajun Liu (CSIRO)*
Communicative and Cooperative Learning for Multi-agent Indoor Navigation
Fengda Zhu (Monash)*; Vincent CS S Lee (Monash University); Rui Liu (University Technology of Sydney)

Enhancing Policy Gradient for Traveling Salesman Problem with Data Augmented Behavior Cloning
Yunchao Zhang (Qilu University of Technology); Kewen Liao (Australian Catholic University); Zhibin Liao (University of Adelaide); Longkun Guo (Fuzhou University;Chinese Academy of Sciences Shenzhen Advanced Technology Academe)*

Graph Neural Networks

Session Chair:
Wing Cheong Lau
(The Chinese University of Hong Kong)

Chaotic Neural Oscillators with Deep Graph Neural Network for Node Classification
Le Zhang (BNU-HKBU United International College); Raymond S.T. Lee (Beijing Normal University-Hong Kong Baptist University United International College)*
Graph Neural Network Approach to Semantic Type Detection in Tables
Ehsan Hoseinzade (Simon Fraser University)*; Ke Wang (SFU)
Alleviating Over-Smoothing via Aggregation over Compact Manifolds
Zhou Dongzhuoran (Bosch Center for Artificial Intelligence)*; Hui Yang (Laboratoire Interdisciplinaire des Sciences du Numérique); Bo Xiong (University of Stuttgart); Yue Ma (LRI); Evgeny Kharlamov (Bosch Center for Artificial Intelligence)
Are Graph Embeddings the Panacea? – an Empirical Survey from the Data Fitness Perspective
QIANG SUN (University of Western Australia)*; Wei Liu (University of Western Australia); Du Q Huynh (The University of Western Australia); Mark Reynolds (University of Western Australia)

Enhancing Network Role Modeling: Introducing Attributed Multiplex Structural Role Embedding for Complex Networks
Lili Wang (Dartmouth College)*; Chenghan Huang (Millennium Management Llc); Ruiye A Yao (Penn State University); Chongyang Gao (Northwestern University); Weicheng Ma (Dartmouth College); Soroush Vosoughi (Dartmouth College)

QWalkVec: Node Embedding by Quantum Walk
Rei Sato (KDDI Research, Inc.)*; Shuichiro Haruta (KDDI Research, Inc.); Kazuhiro Saito (KDDI Research, Inc.); Mori Kurokawa (KDDI Research, Inc.)
Classification and Clustering

Session Chair:
Kunpeng Xu
(Université de Sherbrooke)

AutoClues: Exploring Clustering Pipelines via AutoML and Diversification
Matteo Francia (DISI – University of Bologna); Joseph Giovanelli (University of Bologna)*; Matteo Golfarelli (DISI – University of Bologna)
ImMC-CSFL: Imbalanced Multi-view Clustering Algorithm Based On Common-Specific Feature Learning
Xiaocui Li (Huazhong University of Science and Technology)*; Yu Xiao (Hunan University of Technology and Business); Xinyu Zhang (Hunan University Of Technology and Business); Qingyu Shi (Hunan University of Technology and Business); Xiance Tang (Hunan University Of Technology and Business)
Clustering-friendly Representation Learning for Enhancing Salient Features
Toshiyuki Oshima (Toshiba Corporation)*; Kentaro Takagi (Toshiba Corporation); Kouta Nakata (Toshiba Corporation)
Class ratio and its implications for reproducibility and performance in record linkage
Jeremy Foxcroft (University of Guelph)*; Luiza Antonie (University of Guelph); Peter Christen (Australian National University)

Instance-Ambiguity Weighting for Multi-Label Recognition with Limited Annotations
Daniel Shrewsbury (Korea University)*; Suneung Kim (Korea university); Young Eun Kim (Korea university); Heejo Kong (Korea university); Seong-Whan Lee (Korea University)

SEE: Spherical Embedding Expansion for Improving Deep Metric Learning
Binh M. Le (Sungkyunkwan University); Simon S Woo (Sungkyunkwan University (SKKU))*
Graph Learning and Social Networks

Session Chair:
Yi-Shin Chen
(National Tsing Hua University)

Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal
Chih-Chia Li (National Yang Ming Chiao Tung University); Wei-Yao Wang (National Yang Ming Chiao Tung University)*; Wei-Wei Du (Sony); Wen-Chih Peng (NYCU)
Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation
Jiaqi Wang (Penn State University)*; Yuzhong Chen (Visa research ); Yuhang Wu (Visa Inc.); Mahashweta Das (Visa Research); Hao Yang (Visa Research); Fenglong Ma (Pennsylvania State University)
Improving Structural and Semantic Global Knowledge in Graph Contrastive Learning with Distillation
Mi Wen (Shanghai University of Electric Power); Hongwei Wang (Shanghai University of Electirc Power)*; Yunsheng Xue (Shanghai University of Electric Power); Yi Wu (State Grid Shanghai Electric Power Co.,Ltd); Hong Wen (University of Electronic Science and Technology of China)
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering
Siamak Ghodsi (Leibniz University of Hannover; Free University Berlin)*; Seyed Amjad Seyedi (University of Kurdistan); Eirini Ntoutsi (Bundeswehr University Munich)
Quantifying Opinion Rejection: A Method to Detect Social Media Echo Chambers
Kushani Perera (University of Melbourne)*; Shanika Karunasekera (The University of Melbourne, Australia)
A Weighted Cross-Modal Feature Aggregation Network for Rumor Detection
Jia Li (Guangdong University of Technology)*; Zihan Hu (Guangdong University of Technology); Zhenguo Yang (Guangdong University of Technology); Lap-Kei Lee (Hong Kong Metopolitan University); Fu Lee Wang (Hong Kong Metropolitan University)

Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis
S M Rafiuddin (Oklahoma State University)*; Mohammed Rakib (Oklahoma State University); Sadia Kamal (Oklahoma State University); Arunkumar Bagavathi (Oklahoma State University)

Online, Streaming, and Graph Algorithms

Session Chair:
Ya-Wen Teng
(Academia Sinica)

Streaming Fair $k$-Center Clustering over Massive Dataset with Performance Guarantee
Zeyu Lin (Fuzhou University); Longkun Guo (Fuzhou University;Chinese Academy of Sciences Shenzhen Advanced Technology Academe)*; Chaoqi Jia (RMIT University)
Adaptive Prediction Interval for Data Stream Regression
Yibin Sun (University of Waikato)*; Bernhard Pfahringer (University of Waikato); Albert Bifet (University of Waikato); Heitor M Gomes (Victoria University of Wellington)
DEAL: Data-Efficient Active Learning for regression under drift
Bela Hraban Böhnke (Karlsruher Institut für Technologie (KIT))*; Edouard Fouché (Karlsruhe Institute of Technology (KIT)); Klemens Böhm (Karlsruhe Institute of Technology (KIT))
Lil’HDoC: An Algorithm for Good Arm Identification under Small Threshold Gap
Tzu-Hsien Tsai (National Taiwan University); Yun-Da Tsai (National Taiwan University)*; Shou-De Lin (NTU)
Projection-Free Bandit Convex Optimization over Strongly Convex Sets
Chenxu Zhang (Zhejiang University); Yibo Wang (Nanjing University); Peng Tian (State Grid Chongqing Electric Power Company); Xiao Cheng (State Grid Chongqing Electric Power Research Institute); Yuanyu Wan (Zhejiang University)*; Mingli Song (Zhejiang University)

Leveraging Transfer Learning for Enhancing Graph Optimization Problem Solving
Hui-Ju Hung (Pennsylvania State University)*; Wang-Chien Lee (Pennsylvania State University); Chih-Ya Shen (National Tsing Hua University); Fang He (Pennsylvania State University); Zhen Lei (Pennsylvania State University)

Query-decision Regression between Shortest Path and Minimum Steiner Tree
Guangmo Tong (University of Delaware)*; Peng Zhao (University of Delaware); Mina Samizadeh (University of Delaware)
Deep Learning

Session Chair:
Kuan-Ting Lai
(National Taipei University of Technology)

LEAF: A Less Expert Annotation Framework with Active Learning
Maoliniyazi Aishan (Renmin University)*; Chaohong Ma (Renmin University of China); Yingtao Peng (renmin university of china); Xiaofeng Meng (Renmin University of China)
Ranking Enhanced Supervised Contrastive Learning for Regression
Ziheng Zhou (Tsinghua University); Ying Zhao (Tsinghua University, China)*; Haojia Zuo (Tsinghua University); Wenguang Chen (Tsinghua University)
Relation-Aware Label Smoothing for Self-KD
Jeongho Kim (KAIST); Simon S Woo (Sungkyunkwan University (SKKU))*
Layer-Wise Sparse Training of Transformer via Convolutional Flood Filling
Gordon E Moon (Sogang University)*; Bokyeong Yoon (Sogang University); Yoonsang Han (Sogang University)
AdaPQ: Adaptive Exploration Product Quantization with Adversary-aware Block Size Selection Toward Compression Efficiency
Yan-Ting Ye (National Taiwan University)*; Ting-An Chen (National Taiwan University); Ming-Syan Chen (National Taiwan University)

Adversarial Learning of Group and Individual Fair Representations
Hao Liu (Hong Kong University of Science and Technology)*; Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)

LEMT: A Label Enhanced Multi-task Learning Framework for Malevolent Dialogue Response Detection
Kaiyue Wang (Soochow University)*; Yang Fan (Soochow University); Yucheng Yao (Soochow University); Xiabing Zhou (Soochow University)
Behavioral Data Mining

Session Chair:
Yi-Shin Chen
(National Tsing Hua University)

Re-thinking Human Activity Recognition with Hierarchy-aware Label Relationship Modeling
Jingwei ZUO (Technology Innovation Institute)*; Hakim Hacid (TII)
TFAugment: A Key Frequency-Driven Data Augmentation Method for Human Activity Recognition
Hao Zhang (Changsha University of Science and Technology); Bixiao Zeng (University of Chinese Academy of Sciences); Mei Kuang (Changsha University of Science and Technology); Xiaodong Yang (Institute of Computing Technology, Chinese Academy of Sciences)*; Hongfang Gong (Changsha University of Science and Technology)
Improving Knowledge Tracing via Considering Students’ Interaction Patterns
Shilong Shu (Nanjing Normal University)*; Liting Wang (Nanjing Normal University); Junhua Tian (Nanjing Normal University)
MDAN: Multi-distribution adaptive networks for LTV prediction
Wenshuang Liu (tencent)*; Guoqiang Xu (Tencent); Cunxiang Yin (Tencent); Xinji Luo (tencent)
Improving Anti-Money Laundering via Fourier-based Contrastive Learning
Meihan Tong (China National Clearing Center; Tsinghua University)*; Shuai Wang (Hashkey Tech); XinYu Chen (China National Clearing Center); Jinsong Bei (China National Clearing Center)
Learning to Rank Based on Choquet Integral: Application to Association Rules
Charles Vernerey (TASC (LS2N-CNRS), IMT Atlantique); Noureddine Aribi (University of Oran); Samir Loudni (TASC (LS2N-CNRS), IMT Atlantique)*; Yahia Lebbah (University Oran1); Nassim Belmecheri (SIMULA)
Agent-based Simulation of Decision-making under Uncertainty to Study Financial Precarity
Pegah Nokhiz (Brown University)*; Aravinda Kanchana Ruwanpathirana (University of Utah); Neal Patwari (Washington University in St. Louis); Suresh Venkatasubramanian (Brown University)