Conference Program

*All times are given in JST (UTC+9, Osaka time).

*May 25: Tutorials and Workshop day (fully online)

*The banquet will be held in the SAKURA room on the 5th floor of Hilton Osaka. Route to Hilton Osaka

May 26 May 27 May 28
9:45 Registration 9:15 Registration 9:15 Registration
10:45–11:00 Opening

(ZOOM streaming from ROOM A)

Keynote: Dr. Wei Wang

(Session Chair: Hisashi Kashima)

(ZOOM streaming from ROOM A)
Keynote: Dr. Takashi Washio

(Session Chair: Yasushi Sakurai)

(ZOOM streaming from ROOM A)
10:30–10:50 Coffee break 10:30–10:50 Coffee break
11:00–12:00 Keynote: Dr. Edward Y. Chang

(Session Chair: Wen-Chih Peng)

(ZOOM streaming from ROOM A)

10:50–12:30 Session 3A
Medical and Biological Data
Session 3B
Session 3C
Graphs and Networks
Session 3D
Probabilistic Models and Clustering
10:50–12:30 Session 6A
Graphs and Networks
Session 6B
Spatio-temporal Data
Session 6C
Semi-supervised and Unsupervised Learning
Session 6D
12:00–13:00 Lunch 12:30–13:30 Lunch 12:30–13:30 Lunch
13:00–14:40 Session 1A
Reinforcement Learning
Session 1B
Session 1C
Session 1D
13:30-15:10 Session 4A
Explainability and Fairness
Session 4B
Session 4C
Patterns and Rules
Session 4D
Time-series and Streaming Data
13:30–15:10 Session 7A
Graphs and Networks
Session 7B
Federated Learning
Session 7C
Multimedia and Multimodal Data
Session 7D
Information Retrieval and Search
14:40–15:00 Coffee break 15:10–15:30 Coffee break
15:00–17:00 Session 2A
Session 2B
Session 2C
Session 2D
Deep Learning
15:30–17:30 Session 5A
Anomaly and Outlier Detection
Session 5B
Online and Streaming Algorithms
Session 5C
Session 5D
15:10–15:40 Closing

(ZOOM streaming from ROOM A)

19:15-21:15 Banquet
SAKURA room on the 5th floor of Hilton Osaka

Program Details

Session Paper
Reinforcement Learning

Session Chair:
Kyuseok Sim
(Seoul National University)
Multi-Agent Meta-Reinforcement Learning with Coordination and Reward Shaping for Traffic Signal Control
Xin Du (Sun Yat-sen University)*; Jiahai Wang (Sun Yat-sen University); Siyuan Chen (Sun Yat-sen University)
A Dynamic and Task-independent Reward Shaping Approach for Discrete Partially Observable Markov Decision Processes
Sepideh Nahali (York University)*; Hajer Ayadi (york university); Jimmy Huang (” York University, Canada”); Esmat Pakizeh (Kharazmi Univerity); Mir Mohsen Pedram (Kharazmi University); Leila Safari (University of Zanjan)
Constrained Portfolio Management using Action Space Decomposition for Reinforcement Learning
David Winkel (LMU Munich)*; Niklas A Strauß (LMU Munich); Matthias Schubert (Ludwig-Maximilians-Universität München); Yunpu Ma (Ludwig-Maximilians-Universität München); Thomas Seidl (LMU Munich)
Regularization of the policy updates for stabilizing Mean Field Games
Talal Algumaei (Mohamed bin Zayed University of Artificial Intelligence); Ruben Solozabal Ochoa de Retana (MBZUAI); Reda ALAMI (Technology Innovation Institute)*; Hakim Hacid (TII); Merouane A DEBBAH (Technology Innovation Institute); Martin Takac (MBZUAI)
Transfer Reinforcement Learning based Negotiating Agent Framework
Siqi Chen (Tianjin University)*; Tianpei Yang (University of alberta); heng you (Tianjin University); Jianing Zhao (Tianjin University); Jianye Hao (Tianjin University); Gerhard Weiss (Maastricht University)

Session Chair: Wei Luo
(Deakin University)
Accelerating Stochastic Newton Method via Chebyshev Polynomial Approximation
Fan Sha (East China Normal University)*; Jianyu Pan (East China Normal University)
Stochastic Submodular Maximization via Polynomial Estimators
Gozde Ozcan (Northeastern University)*; Stratis Ioannidis (Northeastern University)
Adaptive Bi-nonlinear Neural Networks Based on Complex Numbers with Weights Constrained along the Unit Circle
Felip Guimerà Cuevas (BMW + LMU)*; Thomy Phan (LMU Munich); Helmut Schmid (CIS, Ludwig-Maximilians-Universität)
Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation Criterion
Alex AM Mourer (SAMM, Université Paris 1 Panthéon Sorbonne); Florent Forest (LIPN, Université Sorbonne Paris Nord)*; Mustapha Lebbah (DAVID Lab, University of Versailles, Université Paris-Saclay,); Hanane Azzag (LIPN, University Paris 13); LACAILLE Jerome (-)
Data-dependent and scale-invariant kernel for Support Vector Machine classification
Vinayaka Vivekananda Malgi (Deakin University)*; Sunil Aryal (Deakin University); Zafaryab Rasool (Deakin University); David Tay (Deakin University)

Session Chair:
Hung-Yu Kao
(National Cheng Kung University)
QA-Matcher: Unsupervised Entity Matching Using A Question Answering Model
Shogo Hayashi (BizReach)*; Yuyang Dong (NEC); Masafumi Oyamada (NEC)
Multi-Task Student Teacher based Unsupervised Domain Adaptation for Address Parsing
Rishav Sahay (Amazon)*; Anoop Saladi (amazon); Prateek Sircar (Amazon)
Unsupervised Text Style Transfer through Differentiable Back Translation and Rewards
Dibyanayan Bandyopadhyay (Indian Institute of Technology, Patna)*; Asif Ekbal (IIT Patna, India)
What Boosts Fake News Dissemination on Social Media? A Causal Inference View
Yichuan Li (WPI)*; Kyumin Lee (Worcester Polytechnic Institute); Nima Kordzadeh (Worcester Polytechnic Institute ); Ruocheng Guo (Bytedance)
Topic-Selective Graph Network for Topic-Focused Summarization
Shi Zesheng (Nankai University)*; Yucheng Zhou (University of Technology Sydney)

Session Chair:
Hsuan-Tien Lin
(National Taiwan University)
Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations
Zhi Li (Osaka university)*; Daichi Amagata (Osaka University); Yihong Zhang (Osaka University); Takahiro Hara (Osaka University, Japan); Shuichiro Haruta (KDDI Research, Inc.); Kei Yonekawa (KDDI Research, Inc.); Mori Kurokawa (KDDI Research, Inc.)
Staying or Leaving: A Knowledge-Enhanced User Simulator for Reinforcement Learning Based Short Video Recommendation
Zhaoqi Yang (Tsinghua University)*; Hongyan Liu (Tsinghua University)
Interest Driven Graph Structure Learning for Session-Based Recommendation
Huachi Zhou (The Hong Kong Polytechnic University)*; Shuang Zhou (The Hong Kong Polytechnic University); Keyu Duan (NUS); Xiao Huang (The Hong Kong Polytechnic University); Qiaoyu Tan (Texas A&M University); Zailiang Yu (Zhejiang Lab)
Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation
Edoardo D’Amico (Insight Centre)*; Aonghus Lawlor (UCD); Neil Joseph Hurley (University College Dublin)
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval
Ahmed El-Kishky (Twitter)*; Thomas Markovich (Twitter); Kenny Leung (Twitter); Frank Portman (Twitter); Aria Haghighi (Twitter); Ying Xiao (Twitter)

Session Chair:
Richi Nayak
(Queensland University of Technology)
Words Can be Confusing: Stereotype Bias Removal in Text Classification at the Word Level
Shaofei Shen (University of Queensland)*; Mingzhe Zhang (University of Queensland); Weitong Chen (Adelaide University); Alina N Bialkowski (The University of Queensland); Miao Xu (University of Queensland)
Dual-Detector: An Unsupervised Learning Framework for Chinese Spelling Check
Feiran Shao (University of Science and Technology of China)*; Jinlong Li (USTC-Birmingham Joint Research Institution in Intelligent Computation and Its Applications (UBRI) School of Computer Science and Technology, University of Science and Technology of China)
Exploiting Phrase Interrelations in Span-level Neural Approaches for Aspect Sentiment Triplet Extraction
Iwo Naglik (Poznan University of Technology); Mateusz Lango (Poznan University of Technology)*
Knowledge-Enhanced Hierarchical Transformers for Emotion-Cause Pair Extraction
Yuwei Wang (Hefei University of Technology); Yuling Li (Hefei University of Technology); Kui Yu (School of Computer and Information, Hefei University of Technology)*; Yimin Hu (Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences)
Improving Machine Translation and Summarization with the Sinkhorn Divergence
Shijie Li (University of Technology Sydney)*; Inigo Jauregi (Rozetta Technology); MASSIMO PICCARDI (University of Technology Sydney, Australia)
Enhanced Topic Modeling with Multi-modal Representation Learning
Duoyi Zhang (Queensland University of Technology); Yue Wang (Queensland University of Technology)*; Md Abul Bashar (Queensland University of Technology); Richi Nayak (Queensland University of Technology, Brisbane)

Session Chair: Donsoo Kim
(Soongsil University)
Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets
Jiahui Zhou (Xi’an Shiyou University); Nayyar Zaidi (Deakin University); Yishuo Zhang (Deakin University)*; Paul Montague (“DST, Australia”); Kim Junae (Defence Science and Technology Group); Gang Li (Deakin Univeristy, Australia)
Generative Sentiment Transfer via Adaptive Masking
Yingze Xie (Beijing Foreign Studies University)*; Jie Xu (Beijing Foreign Studies University ); Liqiang Qiao (Beijing Foreign Studies University ); Yun Liu (Moutai Institue); Feiran Huang (Jinan University); Chaozhuo Li (Microsoft Research Asia)
M-EBM: Towards Understanding the Manifolds of Energy-Based Models
Xiulong Yang (Georgia State University)*; Shihao Ji (Georgia State University)
Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification
Taehyung Kim (Korea Univ.)*; Woo-Jeoung Nam (Kyungpook National University); Seong-Whan Lee (Korea University)
The Causal Strength Bank: A New Benchmark for Causal Strength Classification
Xiaosong Yuan (Jilin University)*; Renchu Guan (Jilin University); Wanli Zuo (Jilin University); Yijia Zhang (National University of Defense Technology)
Label Distribution Learning with Discriminative Instance Mapping
Heng-Ru Zhang (Southwest Petroleum University)*; Run-Ting Bai (Southwest Petroleum University); Wen-Tao Tang (Southwest Petroleum University)

Session Chair:
Jin Tae Kwak
(Korea University)
Weak Correlation-based Discriminative Dictionary Learning for Image Classification
Huangkai Zhang (Soochow University); Li Zhang (Soochow University)*
Few-shot human motion prediction for heterogeneous sensors
Rafael Rego Drumond (Universität Hildesheim); Lukas Brinkmeyer (Universität Hildesheim)*; Lars Schmidt-Thieme (University of Hildesheim)
Post-it: Augmented Reality Based Group Recommendation with Item Replacement
Wei-Pin Wang (National Taiwan University); Hsi-Wen Chen (National Taiwan University)*; De-Nian Yang (Academia Sinica); Ming-Syan Chen (National Taiwan University)
RLMixer: A Reinforcement Learning Approach For Integrated Ranking With Contrastive User Preference Modeling
Jing Wang (The Chinese University of Hong Kong)*; Mengchen Zhao (Huawei Noah’s Ark Lab); Wei Xia (Huawei Noah’s Ark Lab); Zhenhua Dong (Huawei Noah’s Ark Lab); Ruiming Tang (Huawei Noah’s Ark Lab); Rui Zhang (; Jianye Hao (Huawei Noah’s Ark Lab); Guangyong Chen (The Chinese University of Hong Kong); Pheng-Ann Heng (The Chinese Univsersity of Hong Kong)
MIDFA : Memory-Based Instance Division and Feature Aggregation Network for Video Object Detectio
Qiaochuan Chen (Shanghai University); Min Zhou (Shanghai University); Hang Yu (Shanghai University)*
Toward Explainable Recommendation Via Counterfactual Reasoning
Haiyang Xia (Australian National University); Qian Li (Curtin University); Zhichao Wang (Insurance Australia Group); Gang Li (Deakin Univeristy, Australia)*
Deep Learning

Session Chair:
Jae-Gil Lee
Small Temperature is All You Need for Differentiable Architecture Search
Jiuling Zhang (University of Chinese Academy of Sciences)*; Zhiming Ding (ISCAS)
Dynamic Multi-View Fusion Mechanism For Chinese Relation Extraction
yang jing (National University of Defense Technology)*; bin ji (National University of Defense Technology); Shasha Li (National University of Defense Technology); Jun Ma (National University of Defense Technology); Jie Yu (National University of Defense Technology)
CopyCAT: Masking Strategy Conscious Augmented Text for Machine Generated Text Detection
Chien Liang Liu (National Cheng Kung University)*; Hung-Yu Kao (National Cheng Kung University)
LSG Attention: Extrapolation of pretrained Transformers to long sequences
Charles Condevaux (Université de Nîmes)*; Sébastien HARISPE (IMT Mines Alès)
Weight Prediction Boosts the Convergence of AdamW
Lei Guan (National University of Defense Technology)*
Alignment-aware Word Distance
Guoliang Zhao (Peking University); Jinglei Zhang (Peking University)*; Dongdong Du (China Academy of Industrial Internet); Qing Gao (Peking University); Shujun Lin (Institute for Global Health and Development, Peking University ); Xiongfeng Xiao (Peking University); Yupeng Wu (Peking University)
Medical and Biological Data

Session Chair:
Koji Maruhashi
(Fujitsu Limited)
BioSequence2Vec: Efficient Embedding Generation For Biological Sequences
Sarwan Ali (Georgia State University)*; Usama Sardar (LUMS); Murray D Patterson (Georgia State University); Imdadullah Khan (Lahore University of Management Sciences)
Hierarchical Graph Neural Network for Patient Treatment Preference Prediction with External Knowledge
Quan Li (Pennsylvania State University)*; Lingwei Chen (Wright State University); Yong Cai (IQVIA Inc.); Dinghao Wu (Pennsylvania State University)
Vision Transformers for Small Histological Datasets learned through Knowledge Distillation
Neel Kanwal (University of Stavanger)*; Trygve Eftestøl (University of Stavanger); Farbod Khoraminia (Erasmus MC); Tahlita Zuiverloon (Erasmus MC); Kjersti Engan (University of Stavanger)
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis
Tobias Weber (LMU Munich)*; Michael Ingrisch (Department of Radiology, University Hospital, LMU Munich); Bernd Bischl (LMU Munich); David Ruegamer (LMU Munich)
DKFM: Dual Knowledge-guided Fusion Model for Drug Recommendation
Yankai Tian (Dalian Maritime University); Yijia Zhang (Dalian Maritime University)*; Xingwang Li (Dalian Maritime University); Mingyu Lu (Information Science and Technology College)

Session Chair: Na Zou
(Texas A&M University)
Disentangled Representation with Causal Constraints for Counterfactual Fairness
Ziqi Xu (University of South Australia)*; Jixue Liu (University of South Australia); Debo Cheng (University of South Australia); Jiuyong Li (University of South Australia); Lin Liu (University of South Australia); Ke Wang (SFU)
GroupMixNorm Layer for Learning Fair Models
Anubha Pandey (Mastercard)*; Aditi Rai (Mastercard); Maneet Singh (Mastercard, India); Deepak Bhatt (Mastercard); TANMOY BHOWMIK (Mastercard)
Multi-fair Capacitated Students-Topics Grouping Problem
Tai Le Quy (L3S Research Center – Leibniz University Hannover)*; Gunnar Friege (Faculty of Mathematics and Physics – Leibniz University Hannover); Eirini Ntoutsi (Bundeswehr University Munich)
Estimating the Risk of Individual Discrimination of Classifiers
Jonathan Vasquez (George Mason University)*; Xavier Gitiaux (George Mason University); Huzefa Rangwala (George Mason University)
Quantifying the Bias of Transformer-Based Language Models for African American English in Masked Language Modeling
Flavia Salutari (Telecom Paris); Jerome Ramos (University College London)*; Hossein A. Rahmani (University College London); Leonardo Linguaglossa (Telecom Paris); Aldo Lipani (University College London)
Graphs and Networks

Session Chair:
Graham Williams
(Australian National University)
Relations between Adjacency and Modularity Graph Partitioning
Hansi Jiang (SAS Institute Inc.)*; Carl Meyer (North Carolina State University)
A Novel Explainable Link Forecasting Framework for Temporal Knowledge Graphs using Time-relaxed Cyclic and Acyclic Rules
R.Uday Kiran (University of Aizu); Abinash Maharana (International Institute of Information Technology, Hyderabad)*; Krishna Reddy P (International Institute of Information Technology, Hyderabad)
Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning
Yuzhou Chen (Temple University)*; Miguel Heleno (Lawrence Berkeley National Laboratory); Alexandre Moreira da Silva (Lawrence Berkeley National Laboratory); Yulia R. Gel (The University of Texas at Dallas)
Proactive Rumor Control: When Impression Counts
xu pengfei (wuhan university)*; Zhiyong Peng (” Wuhan University, China”); Liwei Wang (Wuhan University)
Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
Qiao Qiao (Iowa State University)*; Yuepei Li (Iowa State University); Kang Zhou (Iowa State University); Qi Li (Iowa State University)
Probabilistic Models and Clustering

Session Chair:
Gillian Dobbie
(University of Auckland)
An Improved Visual Assessment With Data-Dependent Kernel for Stream Clustering
Baojie Zhang (Xi’an Shiyou University); Yang Cao (Deakin University); YE ZHU (Deakin University)*; Sutharshan Rajasegarar (Deakin University); Gang Liu (Harbin Engineering University); Hong Xian Li (Deakin University ); Maia Angelova (Deakin University); Gang Li (Deakin Univeristy, Australia)
Parameter-free Bayesian Decision Trees for Uplift Modeling
Mina RAFLA (Orange Labs)*; nicolas Voisine (Orange); Bruno Cremilleux (Université de Caen Normandie)
Inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition Data
Masahiro Kohjima (NTT Corporation)*; Takeshi Kurashima (NTT Corporation); Hiroyuki Toda (NTT)
Bayesian Optimization over Mixed Type Inputs with Encoding Methods
Zhihao Liu (Department of Information Systems and Management Engineering, Southern University of Science and Technology)*; Weiming Ou (Southern University of Science and Technology); Songhao Wang (Southern University of Science and Technology)
Adaptive View-aligned and Feature Augmentation Network for Partially View-aligned Clustering
Xianchao Zhang (Dalian University of Technology); Mengyan Chen (Dalian University of Technology); Jie Mu (Dongbei University of Finance and Economics); Linlin Zong (Dalian University of Technology)*
Explainability and Fairness

Session Chair:
Gillian Dobbie
(University of Auckland)
Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out
Zidi Xiu (Apple Inc.)*; Kai-Chen Cheng (Apple Inc.); David Q Sun (Apple Inc.); Jiannan Lu (Apple Inc); Hadas Kotak (Apple Inc.); Paul McCarthy (Apple Inc.); Yuhan Zhang (Harvard University); Christopher Klein (Apple Inc.); Stephen Pulman (Apple); Jason Williams (Apple)
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows
Tri Dung Duong (University of Technology Sydney)*; Qian Li (Curtin University); Guandong Xu (University of Technology Sydney, Australia)
Toward Interpretable Machine Learning: Constructing Polynomial Models Based on Feature Interaction Trees
Jisoo Jang (Seoul National University)*; Mina Kim (Seoul National University); Tien-Cuong Bui (Seoul National University); Wen-Syan Li (Seoul National University)
Fairness for Robust Learning to Rank
Omid Memarrast (University of Illinois at Chicago)*; Ashkan Rezaei (University of Illinois at Chicago); Rizal Fathony (Grab); Brian Ziebart (UIC)
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data
Samhita Kanaparthy (Machine Learning Lab, International Institute of Information Technology Hyderabad); Manisha Padala (Machine Learning Lab, International Institute of Information Technology, Hyderabad)*; Sankarshan Damle (Machine Learning Lab, International Institute of Information Technology, Hyderabad); Ravi Kiran Sarvadevabhatla (IIIT Hyderabad); Sujit Gujar (Machine Learning Laboratory, International Institute of Information Technology, Hyderabad)

Session Chair:
Yihong Zhang
(Osaka University)
Multi-behavior Guided Temporal Graph Attention Network for Recommendation
Weijun Xu (Xiamen University); Han Li (Xiamen University); Meihong Wang (School of Informatics, Xiamen University)*
Global-Aware External Attention Deep Model for Sequential Recommendation
Tianxing Wang (Griffith University)*; Can Wang (Griffith University)
Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-aware Reranking
Hyunsik Jeon (Seoul National University)*; Jongjin Kim (Seoul National University); Jaeri Lee (Seoul National University); Jong-eun Lee (Seoul National University); U Kang (Seoul National University)
Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities
Jinze Wang (Macquarie University); Lu Zhang (Nanyang Technological University)*; Zhu Sun (A*STAR); Yew Soon Ong (Nanyang Technological University, Nanyang View, Singapore); Jie Zhang (Nanyang Technological University)
Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation
Jongjin Kim (Seoul National University)*; Hyunsik Jeon (Seoul National University); Jaeri Lee (Seoul National University); U Kang (Seoul National University)
Patterns and Rules

Session Chair:
Robert Moskovitch
(Ben Gurion University)
Interactive Pattern Mining using Discriminant Sub-patterns as Dynamic Features
Arnold Hien (University of Caen Normandy); Samir Loudni (TASC (LS2N-CNRS), IMT Atlantique)*; Noureddine Aribi (University of Oran); Abdelkader Ouali (University of Caen Normandy); Albrecht Zimmermann (Université de Caen Normandie)
Continuously Predicting the Completion of a Time Intervals Related Pattern
Nevo Itzhak (Ben-Gurion University)*; Szymon Jaroszewicz (Institute of Computer Science, Polish Academy of Sciences); Robert Moskovitch (Ben-Gurion University)
A Consumer-Good-Type Aware Itemset Placement Framework for Retail Businesses
Raghav Mittal (Ashoka University)*; Anirban Mondal (Ashoka University); Krishna Reddy P (International Institute of Information Technology, Hyderabad)
RL-Net: Interpretable Rule Learning with Neural Networks
Lucile Dierckx (Université Catholique de Louvain, BE)*; Rosana Veroneze (Université Catholique de Louvain, BE); Siegfried Nijssen (Université Catholique de Louvain, BE)
Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases
Likhitha Palla (University of Aizu)*; Veena Pamalla (SBRIT college); Uday Kiran RAGE (The University of Aizu); Koji Zettsu (National Institute of Information and Communications Technology )
Time-series and Streaming Data

Session Chair:
Rage Uday Kiran
(The University of Aizu)
Quasi-periodicity Detection via Repetition Invariance of Path Signatures
Chenyang Wang (University of Melbourne)*; Ling Luo (University of Melbourne); Uwe Aickelin (The University of Melbourne)
Targeted Attacks on Time Series Forecasting
Zeyu Chen (The University of Auckland)*; Katharina Dost (University of Auckland); Xuan Zhu (University of Auckland); Xinglong Chang (The University of Auckland); Gillian Dobbie (“Univ. of Auckland, New Zealand”); Jörg Wicker (The University of Auckland)
A Global view-Guided Autoregressive Residual Network for Irregular Time Series Classification
Jianping Zhu (Dalian University of Technology)*; Haocheng Tang (Institute of Automation Chinese Academy of Sciences); Tianze Chen (Dalian University of Technology); Liang Zhang (Dongbei University of Finance and Economics); Bo Jin (Dalian University of Technology); Yi Xu (Institute of Automation Chinese Academy of Sciences); Xiaopeng Wei (Dalian University of Technology)
Dynamic Variable Dependency Encoding and Its Application on Change Point Detection
Hao Huang (GE Research)*; Shinjae Yoo (BNL)
Petrel: Personalized Trend Line Estimation with Limited Labels from One Individual
Tong-Yi Kuo (National Central University); Hung-Hsuan Chen (National Central University)*
Anomaly and Outlier Detection

Session Chair:
Minsoo Kim
(Pukyong National University)
Outlying Aspect Mining via Sum-Product Networks
Stefan Lüdtke (University of Mannheim)*; Christian Bartelt (University of Mannheim ); Heiner Stuckenschmidt (University of Mannheim)
Achieving Counterfactual Fairness for Anomaly Detection
Xiao Han (Utah State University)*; Lu Zhang (University of Arkansas); Yongkai Wu (Clemson University); Shuhan Yuan (Utah State University)
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability
Xinglong Chang (The University of Auckland)*; Katharina Dost (University of Auckland); Kaiqi Zhao (University of Auckland); Ambra Demontis (University of Cagliari ); Fabio Roli (Italy); Gillian Dobbie (“Univ. of Auckland, New Zealand”); Jörg Wicker (The University of Auckland)
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks
Shyam Sundar Saravanan (Missouri University of Science and Technology); Tie Luo (Department of Computer Science, Missouri University of Science and Technology)*; Mao V. Van Ngo (Singapore University of Technology and Design)
An Effective WGAN-based Anomaly detection Model for IoT Multivariate Time Series
Sibo Qi (Xihua University); Juan Chen (Xihua University); Peng Chen (Xihua University)*; Peian Wen (Xihua university); Wenyu Shan (Xihua university); Ling Xiong (Xihua university)
Online and Streaming Algorithms

Session Chair:
Atsunori Kanemura
(National Institute of Advanced Industrial Science and Technology (AIST) / Mirai Hoshu K.K.)
Using Flexible Memories to Reduce Catastrophic Forgetting
Wernsen Wong (The University of Auckland)*; Yun Sing Koh (University of Auckland); Gillian Dobbie (“Univ. of Auckland, New Zealand”)
Fair Healthcare Rationing to Maximize Dynamic Utilities
Aadityan Ganesh (Chennai Mathematical Institute); Pratik Ghosal (Chennai Mathematical Institute); Vishwa Prakash HV (Chennai Mathematical Institute); Prajakta Nimbhorkar (Chennai Mathematical Institute, Chennai)*
A Multi-player MAB Approach for Distributed Selection Problems
Jinyu Mo (College of Computer Science, Chongqing University); Hong Xie (Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, China)*
A Thompson Sampling Approach to Unifying Causal Inference and Bandit Learning
Hanxuan Xu (Chongqing University); Hong Xie (Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, China)*
cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series
Federico Giannini (Politecnico di Milano)*; Giacomo Ziffer (Politecnico di Milano); Emanuele Della Valle (Politecnico di Milano)
Mining Frequent Sequential Subgraph Evolutions in Dynamic Attributed Graphs
zhi cheng (Activus Group)*; Landy ANDRIAMAMPIANINA (Activus Group, Institut de Recherche en Informatique à Toulouse, Université Toulouse 1 Capitole); Franck Ravat (IRIT); Jiefu SONG (Institut de Recherche en Informatique de Toulouse); Nathalie Vallès-Parlangeau (Université de Pau et des Pays de l’Adour); Philippe Fournier-Viger (Shenzhen University); Nazha Selmaoui-Folcher (University of New Caledonia)

Session Chair:
Hady W. Lauw
(Singapore Management University)
BeamAttack: Generating High-quality Textual Adversaries through Beam Search and Mixed Semantic Spaces
Hai Zhu (University of Science and Technology of China)*; Qingyang Zhao (Xidian University); yuren wu (Ping An Technology (Shenzhen) Co., Ltd.)
Compressing the Embedding Matrix By a Dictionary Screening Approach in Text Classification
Jing Zhou (Renmin University of China)*; Xinru Jing (Renmin University of China); Muyu Liu (Renmin University of China); Hansheng Wang (Peking University)
Fake News Detection Through Temporally Evolving User Interactions
Shuzhi Gong (The University of Melbourne)*; Richard Sinnott (University of Melbourne); Jianzhong Qi (The University of Melbourne); Cecile Paris (CSIRO)
PICKD: In-Situ Prompt Tuning for Knowledge-Grounded Dialogue Generation
Rajdeep Sarkar (University of Galway)*; Koustava Goswami (Insight Centre for Data Analytics, Data Science Institute, National University of Ireland Galway); Mihael Arcan (Insight Centre for Data Analytics); John McCrae (National University of Ireland Galway)
Web-scale Semantic Product Search With Large Language Models
Aashiq Muhamed (Amazon)*; sriram srinivasan (Amazon); Choon Hui Teo (Amazon); Qingjun Cui (Amazon); Belinda Zeng (Amazon); Trishul A Chilimbi (Amazon); SVN Vishwanathan (UC Santa Cruz)

Session Chair:
Marcin Szczuka
(University of Warsaw)
Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices
Yixiao Lu (University of Auckland)*; Yokiu Lee (University of Auckland ); Haoran Feng (University of Auckland); Johnathan C Leung (University of Auckland); Alvin Cheung (The University of Auckland); Katharina Dost (University of Auckland); Katerina Taskova (The University of Auckland); Thomas Lacombe (The University of Auckland)
Inline Citation Classification using Peripheral Context and Time-evolving Augmentation
Priyanshi Gupta (IIIT Delhi); Yash Kumar Atri (IIIT Delhi)*; Apurva Nagvenkar (Crimson AI); Sourish Dasgupta (DAIICT, Gandhinagar); Tanmoy Chakraborty (IIT Delhi, India)
Joint Latent Topic Discovery and Expectation Modeling for Financial Markets
Lili Wang (Dartmouth College)*; Chenghan Huang (Millennium Management Llc); Chongyang Gao (Northwestern University); Weicheng Ma (Dartmouth College); Soroush Vosoughi (Dartmouth College)
Let the model make financial senses: a Text2Text generative approach for financial complaint idenfication
Sarmistha Das (Indian Institute Of Technology, Patna)*; APOORVA SINGH (Indian Institute of Technology Patna); Raghav Jain (IIT Patna); Sriparna Saha (IIT Patna); Alka Maurya (Crisil Pvt. Ltd)
Online Volume Optimization for Notifications via Long Short-Term Value Modeling
Yuchen Zhang (Tencent)*; Mingjun Zhao (University of Alberta); Chenglin Li (University of Alberta); Weiyu Tou (Tencent); Haolan Chen (Tencent); Di Niu (University of Alberta); Cunxiang Yin (Tencent); Yancheng He (Tencent); Fei Guo (Tencent)
Graphs and Networks

Session Chair:
Hisashi Kashima
(Kyoto University)
A Graph Contrastive Learning Framework with Adaptive Augmentation and Encoding for Unaligned Views
Yifu Guo (HeiLongjiang University)*; Yong Liu (HeiLongJiang University)
MixER: MLP-Mixer Knowledge Graph Embedding for Capturing Rich Entity-Relation Interactions in Link Prediction
Thanh N Le (University of Science, VNU-HCM)*; Pham Ngoc Thien An (HCMUS); Tho Chung (University of Science, VNU-HCM); Truong Tat Nguyen (HCMUS-VNU); Tuan Nguyen (University of Science, VNU-HCM); Bac Le (University of Science, VNU-HCM)
Improving Knowledge Graph Entity Alignment with Graph Augmentation
Feng Xie (National University of Defense Technology)*; Xiang Zeng (National University of Defense Technology); Bin Zhou (National University of Defense Technology); yusong tan (College of Computer, National University of Defense Technology)
UPGAT: Uncertainty-Aware Pseudo-Neighbor Augmented Knowledge Graph Attention Network
Yen Ching Tseng (National Taiwan University)*; Zhu-Mu Chen (National Taiwan University); Mi-Yen Yeh (Academia Sinica); Shou-De Lin (NTU)
Spatio-temporal Data

Session Chair:
Kyoungok Kim
(Seoul National University of Science & Technology (SeoulTech))
RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks
Changlu Chen (UTS)*; Yanbin Liu (The University of Western Australia); Ling Chen (” University of Technology, Sydney, Australia”); Chengqi Zhang (University of Technology Sydney)
MetaCitta: Deep Meta-Learning for Spatio-Temporal Prediction Across Cities and Tasks
Ashutosh Sao (L3S Research Center, Leibniz University Hannover)*; Simon Gottschalk (L3S); Nicolas Tempelmeier (Volkswagen AG); Elena Demidova (DSIS Research Group, University of Bonn)
Road Network Representation Learning with Vehicle Trajectories
Stefan Schestakov (L3S Research Center, Leibniz University Hannover)*; Paul Heinemeyer (Leibniz University Hannover ); Elena Demidova (DSIS Research Group, University of Bonn)
Deep Graph Stream SVDD: Anomaly Detection in Cyber-Physical Systems
Ehtesamul Azim (University of Central Florida)*; Dongjie Wang (University of Central Florida); Yanjie Fu (University of Central Florida)
Generative-Contrastive-Attentive Spatial-Temporal Network for Traffic Data Imputation
Wenchuang Peng (Beijing Jiaotong University)*; Youfang Lin (Beijing Jiaotong University); Shengnan Guo (Beijing Jiaotong University); Weiwen Tang (Beijing JiaoTong University); Le Liu (Beijing Jiaotong University ); Huaiyu Wan (Beijing Jiaotong University)
Semi-supervised and Unsupervised Learning

Session Chair:
Wray Buntine
Multi-Augmentation Contrastive Learning as Multi-Objective Optimization for Graph Neural Networks
Xu Li (Tongji University)*; yongsheng chen (Tongji University)
Adversarial Active Learning with Guided BERT Feature Encoding
Linsey Pang (Salesforce)*; kexin xie (Salesforce); Yuxi Zhang (Salesforce inc); Max Fleming (Salesforce); Damian Xu (Salesforce); Wei Liu (University of Technology Sydney)
Reduction from Complementary-Label Learning to Probability Estimates
Wei-I Lin (National Taiwan University)*; Hsuan-Tien Lin (National Taiwan University)
Semi-supervised Text Classification via Self-Paced Semantic-Level Contrast
Yu Xia (Institute of Software Chinese Academy of Sciences)*; Kai Zhang (realsee); Kaijie Zhou (University of Liverpool); Rui Wang (Science and Technology on Integrated Information System Laboratory, Institute of Software Chinese Academy of Sciences); Xiaohui Hu ( Institute of Software Chinese Academy of Sciences)
A Relational Instance-based Clustering Method with Contrastive Learning for Open Relation Extraction
Xiaoge Li (Xi’an university of posts and telecommunications)*; Dayuan Guo (Xi’an University of Posts and Telecommunications); Tiantian Wang (Shandong University)

Session Chair:
Jiun-Long Huang
(National Yang Ming Chiao Tung University)
Defending Against Backdoor Attacks by Layer-wise Feature Analysis
Najeeb Jebreel (Universitat Rovira i Virgili)*; Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia); Yiming Li (Tsinghua University)
Model-Agnostic Reachability Analysis on Deep Neural Networks
Chi Zhang (University of Exeter)*; Wenjie Ruan (University of Exeter); Fu Wang (University of Exeter); Peipei Xu (University of Liverpool); Prof.Geyong Min (University Of Exeter); Xiaowei Huang (Liverpool University)
MISNN: Multiple Imputation via Semi-parametric Neural Networks
Zongyu Dai (University of Pennsylvania)*; Yiliang Zhang (University of Pennsylvania); Zhiqi Bu (University of Pennsylvania); Qi Long (University of Pennsylvania)
Fast and Attributed Change Detection on Dynamic Graphs with Density of States
Shenyang Huang (Mila/McGill University)*; Jacob Danovitch (MILA); Guillaume Rabusseau (Mila – Université de Montréal); Reihaneh Rabbany (McGill University)
The Common-Neighbors Metric is Noise-Robust & Reveals Substructures of Real-World Networks
Sarel Cohen (Hasso Plattner Institute); Philipp Fischbeck (Hasso Plattner Institute, University of Potsdam)*; Tobias Friedrich (Hasso Plattner Institute); Martin S. Krejca (LIX, CNRS, Ecole Polytechnique, IPP)
Graphs and Networks

Session Chair:
Takashi Washio
(Osaka University)
GTEA: Representation Learning for Temporal Interaction Graphs via Edge Aggregation
Siyue Xie (The Chinese University of Hongkong)*; Yiming LI (The Chinese University of Hong Kong); Da Sun Handason Tam (The Chinese University of Hongkong); Xiaxin Liu (Tencent Technology Co.Ltd); Qiu Fang Ying (Tencent Technology Co.Ltd); Wing Cheong Lau (The Chinese University of Hong Kong); Dah Ming M. Chiu (Chinese University of Hong Kong); Shou Zhi Chen (Tencent Technology Co. Ltd)
CondTraj-GAN: Conditional Sequential GAN for Generating Synthetic Vehicle Trajectories
Nils Henke (Volkswagen AG)*; Shimon Wonsak (Volkswagen); Prasenjit Mitra (The Pennsylvania State University); Michael Nolting (Volkswagen AG); Nicolas Tempelmeier (Volkswagen AG)
You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network
Huaisheng Zhu (The Pennsylvania State University)*; Xianfeng Tang (Amazon); Tianxiang Zhao (Penn State University); Suhang Wang (Pennsylvania State University)
Anti-Money Laundering in Cryptocurrency via Multi-Relational Graph Neural Network
Woochang Hyun (Seoul National University)*; Jaehong Lee (Seoul National University); Bongwon Suh (Seoul National University)
MPool: Motif-Based Graph Pooling
Muhammad Ifte Khairul Islam (Oklahoma State University)*; Maxim A Khanov (OSU); Esra Akbas (Georgia State University)
Federated Learning

Session Chair:
Tony T. Luo
(Missouri University of Science and Technology)
Achieving Provable Byzantine Fault-Tolerance in a Semi-honest Federated Learning Setting
Xingxing Tang (The Hong Kong University of Science and Technology)*; Hanlin Gu (HKUST); Lixin Fan (WeBank); Qiang Yang (Hong Kong UST)
Enhancing Federated Learning Robustness using Data-Agnostic Model Pruning
Mark Huasong Meng (National University of Singapore)*; Singee Teo (I2R); Guangdong Bai (University of Queensland); Kailong Wang (National University of Singapore); Jin Song Dong (National University of Singapore)
pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints
Yongli Mou (RWTH Aachen University)*; Jiahui Geng (University of Stavanger); Feng Zhou (Renmin University of China); Oya Beyan (University of Cologne); Chunming Rong (University of Stavanger); Stefan Decker (RWTH Aachen University)
Maverick Matters: Client Contribution and Selection in Federated Learning
Jiyue Huang (TU Delft)*; Chi Hong (TU Delft); Yang Liu (Tsinghua University); Lydia Chen (TU Delft); Stefanie Roos (TU Delft)
Federated Learning under Statistical Heterogeneity on Riemannian Manifold
Adnan Ahmad (Deakin University)*; Wei Luo (Deakin University); Antonio Robles-Kelly (Deakin University)
Multimedia and Multimodal Data

Session Chair:
De-Nian Yang
(Academia Sinica)
An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance
David Hason Rudd (University of Technology Sydney)*; Huan Huo (University of Technology Sydney); Guandong Xu (University of Technology Sydney, Australia)
TCR: Short Video Title Generation and Cover Selection with Attention Refinement
Yakun Yu (University of Alberta)*; Jiuding Yang (University of Alberta); Weidong Guo (Tencent); Hui Liu (Platform and Content Group, Tencent); Yu Xu (Tencent); Di Niu (University of Alberta)
Dynamically-Scaled Deep Canonical Correlation Analysis
Tomer Friedlander (Tel Aviv University)*; Lior Wolf (Tel Aviv University, Israel)
ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval
Zhen Liu (University of Science and Technology of China)*; Yongxin Zhu (University of Science and Technology of China); Zhujin Gao (University of Science and Technology of China); Xin Sheng (University of Science and Technology of China); Linli Xu (University of Science and Technology of China)
Information Retrieval and Search

Session Chair:
Yasutoshi Ida (NTT)
Document-level Relation Extraction with Cross-sentence Reasoning Graph
Hongfei Liu (University of Electronic Science and Technology of China)*; Zhao Kang (University of Electronic Science and Technology of China); Lizong Zhang (University of Electronic Science and Technology of China); Ling Tian (University of Electronic Science and Technology of China); Fujun Hua (Research and Development Center TROY Information Technology Co., Ltd. Chengdu, China)
MFBE: Leveraging Multi-Field Information of FAQs for Efficient Dense Retrieval
Debopriyo Banerjee (Rakuten); Mausam Jain (Rakuten)*; Ashish Kulkarni (Rakuten)
Multi-task learning based Keywords weighted Siamese Model for semantic retrieval
Mengmeng Kuang (Tencent Holdings Ltd.); Zhenhong Chen (Tencent Ltd.); Weiyan Wang (Hong Kong University of Science and Technology)*; lie kang (tencent); Qiang Yan (Tencent); Min Tang (Tencent Holdings Ltd.); Penghui Hao (Tencent Holdings Ltd.)
Isotropic Representation Can Improve Dense Retrieval
Euna Jung (Seoul National University); Jungwon Park (Seoul National University); Jaekeol Choi (Seoul National University); Sungyoon Kim (Seoul National University); Wonjong Rhee (Seoul National University)*
Knowledge-Enhanced Prototypical Network with Structural Semantics for Few-Shot Relation Classification
Yanhu Li (East China Normal University)*; taolin zhang (East China Normal University); Dongyang Li (East China Normal University); Xiaofeng He (East China Normal University)