Please find the presentation time for different tracks below. The presentation time includes Q&A.
- Main Track Papers: 12 minutes (Long presentation papers) and 8 minutes (Short presentation papers)
- Special Session Papers: 10 minutes
- Interdisciplinary Track Papers: 10 minutes
- Extended Abstract Papers: 10 minutes
- Workshop Papers: 15 minutes
- Doctoral Consortium Papers: 12 minutes
Conference Program Overview
Please note that the time zone is UTC+8.
Day 1: Thursday, 16 October 2025 |
|||
|---|---|---|---|
| Time | Session | ||
| 9:00-9:50 | Tutorial 1 | The International Workshop on Artificial Intelligence for Law (WAIL 2025) | |
| 9:50-10:40 | Tutorial 2 | ||
| 10:40-11:00 | Coffee Break | ||
| 11:00-11:50 | Tutorial 3 | The International Workshop on Intelligent Models for Language and Cross-Cultural Education (IMLCCE) | |
| 12:00-14:00 | Lunch Break | ||
| 14:00-14:50 | Tutorial 4 | 2025 International Symposium on Machine Learning and Social Computing | Doctoral Consortium |
| 15:00-18:00 | CCF YOCSEF Activity (Room C-LP-06)
Panelist
|
2025 International Symposium on Machine Learning and Social Computing | |
| 18:00-18:30 | Take the shuttle bus to Hong Kong Science Park | ||
| 18:30-20:30 | Welcome Reception (Hoi Won Wui, Shop 101, 1/F, 1W Core Building 2, 1 Science Park E Ave, Hong Kong Science Park, Sha Tin) |
||
Day 2: Friday, 17 October 2025 |
|||
|---|---|---|---|
| Time | Session | ||
| 9:00-9:20 |
Opening Ceremony Venue: E-LP2-01 Sports Hall Chair: Prof. Qing Li |
||
| 9:20-9:30 | Group photo | ||
| 9:30-10:20 |
Keynote 1: Cyber-Physical-Social Intelligence Venue: E-LP2-01 Sports Hall Speaker: Tianruo Yang, Zhengzhou University, China Chair: Prof. Tianyong Hao |
||
| 10:20-10:40 | Coffee Break | ||
| 10:40-12:00 | Technical Session 1 | Technical Session 2 | |
| 12:00-14:00 | Lunch Break | ||
| 14:00-14:50 |
Keynote 2: Data Analysis Traceability in the Era of Real-Time AI Venue: E-LP2-01 Sports Hall Speaker: Hiroyuki Kitagawa, University of Tsukuba, Japan Chair: Prof. Raian Ali |
||
| 14:50-15:50 | Technical Session 3 | Technical Session 4 | |
| 15:50-16:10 | Coffee Break | Demo Session | |
| 16:10-17:10 | Technical Session 5 | Technical Session 6 | |
| 17:10-18:30 |
Panel Discussion
Venue: E-LP2-01 Sports Hall Moderator: Dr. Jianquan Liu, NEC Corporation, Japan Panelists:
|
||
| 18:30-19:15 | Take the shuttle bus to Sai Kung | ||
| 19:15-21:30 | Banquet (Hung Kee Seafood Restaurant, Shop 6 & 9-10, G/F, Siu Yat Building, 1 Sai Kung Hoi Pong Square, Sai Kung) |
||
Day 3: Saturday, 18 October 2025 |
|||
|---|---|---|---|
| Time | Session | ||
| 9:00-9:50 |
Keynote 3: From Trustworthy AI to AI Ethics and Governance Venue: E-LP2-01 Sports Hall Speaker: Xin Yao, Lingnan University, Hong Kong SAR, China Chair: Prof. Guandong Xu |
||
| 9:50-10:20 | Technical Session 7 | Invited Talk | |
| 10:20-10:40 | Technical Session 8 | ||
| 10:40-11:00 | Coffee Break | ||
| 11:00-12:00 | Technical Session 9 | Technical Session 10 | |
| 12:00-14:00 | Lunch Break | ||
| 14:00-14:50 |
Keynote 4: Ties-of-Trust in AI : Unravel the Links Between Human Judgment and AI Harms Venue: E-LP2-01 Sports Hall Speaker: Athena Vakali Chair: Prof. Lin Li |
||
| 14:50-15:30 | Technical Session 11 | Technical Session 12 | |
| 15:30-15:50 | Coffee Break | ||
| 15:50-16:30 | Technical Session 13 | Technical Session 15 | |
| 16:30-17:00 | Technical Session 14 | ||
| 17:00-17:20 |
Closing Ceremony/Award Ceremony Venue: E-LP2-01 Sports Hall Chair: Prof. Guandong Xu |
||
Conference Paper Presentations
Please find the presentation time for different tracks below. The presentation time includes Q&A.
- Main Track Papers: 12 minutes (Long presentation papers) and 8 minutes (Short presentation papers)
- Special Session Papers: 10 minutes
- Interdisciplinary Track Papers: 10 minutes
- Extended Abstract Papers: 10 minutes
- Workshop Papers: 15 minutes
- Doctoral Consortium Papers: 12 minutes
|
Tutorial Venue: C-LP-06 Time: 16 October 2025 |
|
|---|---|
| 9:00-9:50 |
Tutorial 1: Hot Topic Diffusion Prediction in Large Social Networks under Complex Public Opinion Environment Speaker: Yajun Yang Chair: Dr. Dan Lu |
| 9:50-10:40 |
Tutorial 2: From Degradation to Perception: Photo Restoration and Quality Assessment Speaker: Weiwei Cai Chair: Dr. Dan Lu |
| 11:00-11:50 |
Tutorial 3: Model Compression via Hyperfunction Speaker: Fenglei Fan Chair: Dr. Yingnan Zhao |
| 14:00-14:50 |
Tutorial 4: Recent Advances in Worker Selection: From Social Diffusion to Federated Learning Speaker: Jianxiong Guo Chair: Dr. Yingnan Zhao |
|
Workshop 1: The International Workshop on Artificial Intelligence for Law (WAIL 2025) Chair: Prof. Juan Xu Venue: C-LP-04 Time: 9:00-10:30, 16 October 2025 |
|
|---|---|
| 09:00-09:15 | The Legal Regulation of Artificial Intelligence (AI) in International Arbitration (IA): A Contractual and Judicial Perspective |
| 09:15-09:30 | Legal Characterization of Reverse Engineering in Large-Scale AI Models: A Jurisprudential Analysis |
| 09:30-09:45 | Deconstructing Compliance and Exploring Regulatory Pathways for Artificial Intelligence Data Security: A Case Study of Biosimilar Drug Development |
| 09:45-10:00 | Collegial Panel Mechanism Legal Judgement Prediction Via Majority Voting and Rationale Generation |
| 10:00-10:15 | Binary Evaluation Model for Legal Artificial Intelligence: Enhancing the Interpretability of Legal Judgment Predictions |
| 10:15-10:30 | Balancing Data Sharing and Security in the Era of AI: A Risk Governance Framework for China's Smart Courts |
|
Workshop 2: The International Workshop on Intelligent Models for Language and Cross-Cultural Education (IMLCCE) Chair: Prof. Yuanyuan Mu Venue: C-LP-04 Time: 11:00-12:00, 16 October 2025 |
|
|---|---|
| 11:00-11:15 | Modeling Sentiment Analysis for Educational Texts by Combining RoBERTa, CNN and BiLSTM |
| 11:15-11:30 | From Translator to Insider: Rethinking the Limits of Translation Competence in MTPE of a Football Text |
| 11:30-11:45 | Evaluating Subtitle Translations of Genshin Impact: A Comparative Analysis of AI and MT Systems |
| 11:45-12:00 | Empowering Science Learning with AI-Driven Science Agents: A Talk-on-Science Model for Interdisciplinary Innovation and Scientific Literacy |
|
The International Symposium on Machine Learning and Social Computing (MLSC 2025) Chair: Prof. Jinhua Tan Venue: C-LP-04 Time: 14:00-16:30, 16 October 2025 |
|
|---|---|
| A Study on the Influencing Factors of AIGC-Generated News Content Adoption Based on Audience Perception. | |
| Supervised Contrastive Learning for Few-Shot EEG-Based Person Identification. | |
| Accurate Traffic Flow Prediction Using a Hybrid Deep Learning Model. | |
| Optimal Intelligent Car-Following Model Based on GCN and GRU. | |
| Federated Spatio-Temporal Graph Convolutional Network for Traffic Flow Prediction. | |
| Deep Reinforcement Learning for Truck Following Decision-Making in Autonomous Driving. | |
| A Car-Following Model Integrating Neighboring Velocity Field and Random Forest. | |
| Impact of Driver’s Perceptual Quirk of Velocity on Traffic Dynamics and Safety in Fog Weather. | |
| An Interpretable Machine Learning Method for Rockburst Risk Assessment. | |
| Mechanical Manufacturing Process Intelligence Based on Artificial Intelligence Algorithm. | |
|
Doctoral Consortium Chairs: Prof. Lin LI & Dr. Elena Vlahu-Gjorgievska Venue: C-LP-18 Time: 14:00-15:20, 16 October 2025 |
|
|---|---|
| 14:00-14:12 | A Preliminary Examination of an LLM-based Computational Framework for Analyzing Public Discourse in Policy-Making |
| 14:12-14:24 | A Multi-Agent System for Multi-Modal Educational Content: A Case Study |
| 14:24-14:36 | Effective and Efficient Role-Playing LLM Agent via Pruning Knowledge |
| 14:36-14:48 | Research Proposal on Enhancing Authenticity in Online Communication: A Digital Nudge Approach |
| 14:48-15:00 | The Dual Role of Peer Pressure on Social Media in Addiction and Well-being |
| 15:00-15:12 | Investigating LLMs Dependency vs Privacy-Risk Tolerance: a Research Proposal. |
|
Demo Session Chair: Dr. Xin Li Venue: Outside E-LP2-01 Sports Hall Time: 15:50-17:10, 17 October 2025 |
|---|
| Exploring Exercises Selection Methods for Computerized Adaptive Testing Based on Large Language Models |
| A large language model system for the field of chemical engineering technology |
| An automated extraction system for material chemistry experimental protocols |
| AI as Game Designer: Achieving Optimal Level Balance through LLM-based System |
| Adaptive Cooperative Perception Task Scheduling for Vehicle Platoons via PPO-Based Deep Reinforcement Learning |
| A Multimodal Cognitive Assessment System with Task-Level Scoring and Risk Labeling |
| SiMiao: A Multi-Agent Collaborative Research Assistant for Scientific Knowledge Discovery in the Field of Chemistry |
| Adaptive Load Balancing in Industrial Edge Computing: A Multi-Agent Reinforcement Learning Approach |
| An Intelligent Supervision Platform for School Canteens: Safeguarding Student Food Quality |
| TechNexus: An LLM-Powered Platform with Spatio-temporal KGs for University-Industry Technology Transfer |
| GenAI-empowered Virtual Micro-teaching Training System for Preservice Teachers |
| SHAP-RM: Interpretable Reward Model Evaluation for Text Generation Quality Assessment in Role-Playing Dialogue Systems |
| FollowUpBot: An LLM-Based Conversational Robot for Automatic Postoperative Follow-up |
| CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education |
|
Technical Session 1: AI for Social Good Chair: Dr. Zhiyuan Wen Venue: E-LP2-20 Time: 10:40-12:00, 17 October 2025 |
|
|---|---|
| 10:40-10:52 | Using Topic Detection to Analyze Student Reffections in Service-Learning: A Text Mining Method for Understanding Learning Gains |
| 10:52-11:04 | MyEcoPal: Bridging the Gap between Sustainability Understanding and Sustainable Actions |
| 11:04-11:16 | Quantifying Off-the-ball Attacking Contribution in Football: A GCN-LSTM Approach Supervised by Expert Assessments |
| 11:16-11:28 | Temporal Inference of Psychosocial States from Digital Biomarkers for Just-In-Time Adaptive Interventions |
| 11:28-11:36 | Framework for Diverse Depression Patients Roleplaying and Cognitive Diagnosis of Scales Using LLMs Based on CoT Prompts |
| 11:36-11:44 | Uncovering the Nexus Between Attitudes Toward LLMs and Problematic Dependency on Them: A Latent Profile Analysis |
| 11:44-11:52 | Exploring Global Patterns of Social Media Disorder: The Role of Sociodemographic Factors |
| 11:52-12:00 | Research and Application of AI Decision System for Perioperative Period Based on Smart IoT and WIRE Database |
|
Technical Session 2: Social Media Analysis Chair: Dr. Kaixi Hu Venue: E-LP2-21 Time: 10:40-12:00, 17 October 2025 |
|
|---|---|
| 10:40-10:52 | Early Detection of Multimodal Hot-Topic Misinformation in User-Generated Content |
| 10:52-11:04 | Predicting Career Trajectories After Career Breaks: A Data-Driven Analysis Using LinkedIn Profiles |
| 11:04-11:16 | Beyond Words: Latent Profiles of Online Communication Styles and their Association with Social Well-Being on Social Media |
| 11:16-11:28 | Developing a Novel Tag Cloud System for Optimized Visualization and Behavioral Analytics in Cosmetic Review Platforms |
| 11:28-11:36 | Early Detection of Fake News Based on Sequential Analysis of Social Context and Adaptive Thresholding |
| 11:36-11:44 | A Multidimensional Sentiment Analysis Model for Experience Assessment |
| 11:44-11:52 | Echoes or Adversaries? Asymmetric Polarization in Elite Digital Communication |
| 11:52-12:00 | Interpretable and Transparent Experimentation on Policy Ideas in a Social Simulation Environment |
|
Technical Session 3: Recommendation (Part 1) Chair: Dr. Dan Lu Venue: E-LP2-20 Time: 14:50-15:50, 17 October 2025 |
|
|---|---|
| 14:50-15:02 | Continuous Sub-sequence Denoising For Sequential Recommendation |
| 15:02-15:14 | An Examination of Methods for Resolving Reviewer Dissatisfaction in Hotel Recommendation Systems |
| 15:14-15:26 | ReCareer: Hybrid Graph Neural Networks for Post-Career-Break Job Recommendation |
| 15:26-15:36 | DCKG: A Dual-view Collaborative Knowledge Graph for Pull Request Recommendation |
| 15:36-15:44 | DCSN: Dynamic Calibration and Contrastive Sharpening for MultiModal Recommendation |
| 15:44-15:52 | Modeling Rater Severity Drift in Single-Rater Performance Assessments Using Bayesian Hierarchical Methods |
|
Technical Session 4: Interdisciplinary Study (Part 1) Chair: Dr. Yuhan Zou Venue: E-LP2-21 Time: 14:50-15:50, 17 October 2025 |
|
|---|---|
| 14:50-15:00 | Cultural Pathways of Life Value Realization: Insights from Chinese and American Obituaries |
| 15:00-15:10 | Regional Dynamics of Public Opinion in Post-Pandemic China: A Weibo Data Analysis |
| 15:10-15:20 | Person-Environment Fit: How the Gini Coefficient Moderates the Relationship between Personality and Well-being |
| 15:20-15:30 | Pathways for cultural evolution of war behaviours |
| 15:30-15:40 | How Do LLMs Generate Emotional Metaphors? A Vector-Based Cognitive Investigation |
| 15:40-15:50 | Generalized threats predict trust dynamics over time |
|
Technical Session 5: Artificial Intelligence Chair: Dr. Yifan Zhu Venue: E-LP2-20 Time: 16:10-17:10, 17 October 2025 |
|
|---|---|
| 16:10-16:22 | NLCC: Noisy Label Correction with CLIP for Robust Few-Shot Learning |
| 16:22-16:30 | Accelerating High-Dimensional Expensive Multi-Objective Optimization via Surrogate-Assisted Fuzzy Directed Sampling |
| 16:30-16:38 | An Improved Large-Scale Multi-Objective Competitive Swarm Optimizer Based on Harris Hawks Optimization |
| 16:38-16:46 | Multimodal Multiobjective Optimization Algorithm based on Two-stage Proportional Selection |
| 16:46-16:54 | Discrete-Time Sigma-Delta Modulator Coefficient Optimization via Soft Actor-Critic Reinforcement Learning |
| 16:54-17:02 | GADM: Granularity-Aware Diffusion Model for Uncertainty Forecasting in Non-Stationary Time Series |
| 17:02-17:10 | Bridging Dependency Enhanced Counterfactual Supporting for Multi-hop Question Generation |
|
Technical Session 6: Interdisciplinary Study (Part 2) Chair: Dr. Yan Mu Venue: E-LP2-21 Time: 16:10-17:10, 17 October 2025 |
|
|---|---|
| 16:10-16:20 | ROLLY: A Software-Controlled Multi-Sensor Social Robot for Interventions toward Children with Autism Spectrum Disorder |
| 16:20-16:30 | The Truth-Sharing Gap: Experimental Evidence from the Chinese Social Media Context |
| 16:30-16:40 | Research on the Perspective Transformation and User Experience of Chinese Interpretive Film Short Videos Driven by Artificial Intelligence |
| 16:40-16:50 | The Impact of Thinking Levels and the Virtual Nature of Online Videos on Individuals' Judgment of Truth and Falsity |
| 16:50-17:00 | From Words to Deeds: Predicting the Spatial Distribution of Collective Action in China Through Social Media Textual Expression |
| 17:00-17:10 | Using Large Language Models to Forecast the 2024 U.S. Presidential Election: Accuracy, Bias, and Media Influence Across Partisan Contexts |
|
Technical Session 7: Behavior & Mobility Modeling Chair: Dr. Kaize Shi Venue: E-LP2-20 Time: 9:50-10:40, 18 October 2025 |
|
|---|---|
| 09:50-10:02 | The Effectiveness of Balanced Product Explanations for Decision Support in Online Shopping |
| 10:02-10:14 | How Warnings of Product Drawbacks Affect Online Shopping Decisions |
| 10:14-10:26 | Optimizing Urban Commercial Landscapes with POI Strategic Group Analysis: A Meta-Learning Hypergraph Approach |
| 10:26-10:36 | DFST-Net:Dual-Frequency Spatiotemporal Graph Neural Network for Traffic Forecasting |
| 10:36-10:44 | Two-lane local optimality driving strategy for enhancing traffic stability |
|
Invited Talks Chair: Dr. Jianquan Liu Venue: E-LP2-21 Time: 18 October 2025 |
|
|---|---|
| 9:50-10:40 |
Invited Talk 1: Photography for People with Visual Impairments: From Taking the Shot to Tactile Understanding Speaker: Masakazu Iwamura, Osaka Metropolitan University, Japan |
|
Technical Session 8: AI for Healthcare (Part 1) Chair: Dr. Jianquan Liu Venue: E-LP2-21 Time: 10:20-10:40, 18 October 2025 |
|
|---|---|
| 10:20-10:32 | Real-Time Multimodal Hazard Detection for Assistive Wheelchair Navigation |
| 10:32-10:42 | Comparative Study on Medication Adherence Between Traditional Chinese Medicine and Western Medicine Under Conflicting Information: A Case Study of Chronic Diseases |
|
Technical Session 9: Recommendation (Part 2) Chair: Dr. Nengjun Zhu Venue: E-LP2-20 Time: 11:00-12:00, 18 October 2025 |
|
|---|---|
| 11:00-11:10 | Prompt-based Zero-shot Learning in Large Language Models for Recommender Systems: A Reproducibility Study |
| 11:10-11:20 | MacCDR: a Memory-Augmented Cluster-Level Preference Mapping Framework for Cross-Domain Cold-Start Recommendation |
| 11:20-11:30 | PFRCRP: Parameter-Factorized Personalized Federated Recommendation for Cross-Domain Rating Predictions |
| 11:30-11:40 | Enhancing the Training Process with Multi Metrics for Session-based Recommendations |
| 11:40-11:50 | Interpretable Recommendation via Semantic and Syntactic Knowledge Enhanced Aspect-based Sentiment Analysis |
| 11:50-12:00 | Large-scale Weakly Supervised Person Re-ID: Towards Generalizable and Scalable Solutions |
|
Technical Session 10: AI for Healthcare (Part 2) Chair: Dr. Junceng Ye Venue: E-LP2-21 Time: 11:00-12:00, 18 October 2025 |
|
|---|---|
| 11:00-11:10 | Dual-Level Contrastive Learning for Patient Condition Representation with Multimodal Electronic Health Records |
| 11:10-11:20 | Machine Learning-Ready Genomic Biomarkers: ATF3 Polymorphisms Predict Postoperative Analgesic Demand Through AI-Compatible Phenotyping |
| 11:20-11:30 | Ensemble Transformer-Based Multiple Instance Learning for Predicting Neoadjuvant Chemotherapy Response from Breast Cancer Biopsy Whole-Slide Images |
| 11:30-11:40 | Analysis of Tongue Image Data Augmentation and Classification Methods Based on Multi-Attribute Features |
| 11:40-11:50 | Discovering Brain Functional Connectivity in Parkinson's Disease from Graph Mining Perspectives |
| 11:50-12:00 | Non-invasive Evaluation of Fatigue State of Non-manual Workers Based on CNN-LSTM Network |
|
Technical Session 11: Anomaly Analysis Chair: Dr. Shizhuo Deng Venue: E-LP2-20 Time: 14:50-15:30, 18 October 2025 |
|
|---|---|
| 14:50-15:02 | Anomaly Detection Method for Tabular Data Based on a Three-Phase Learning Paradigm |
| 15:02-15:12 | Density Harmonized Gradient Descent Online Active Learning for Imbalanced Data Streams |
| 15:12-15:22 | Text-Enhanced Panoptic Symbol Spotting in CAD Drawings |
| 15:22-15:30 | Do You Tolerate System Failures? Investigating System Failure Tolerance Methods via Prior Statements |
|
Technical Session 12: AI for Education (Part 1) Chair: Dr. Shiqing Wu Venue: E-LP2-21 Time: 14:50-15:30, 18 October 2025 |
|
|---|---|
| 14:50-15:02 | AgentLesson: LLM-Based Multi-Agent System for Educational Lesson Plan Generation |
| 15:02-15:10 | Classroom-Free Educational Experimentation: A Stochastic Learning-Design Simulation Framework with LLM Optimization |
| 15:10-15:18 | Multimodal Learning Analytics for Predicting Learning Gain in Online Service-Learning Programs |
| 15:18-15:26 | Student Learning Engagement Recognition Method Based on Video Transformer |
|
Technical Session 13: AI for Molecular Modeling and Drug Chair: Prof. Lin Li Venue: E-LP2-20 Time: 15:50-16:30, 18 October 2025 |
|
|---|---|
| 15:50-16:00 | Optimized Feature Extraction and Alignment for Cross-Modal Molecule Retrieval |
| 16:00-16:10 | MolJury: A Role-Driven Multi-Agent Architecture for Factual Molecular Understanding |
| 16:10-16:20 | EquiMapLE: High-Fidelity and High-Throughput Molecular Analogue Screening with Equivariant Fingerprints and Learned Fusion |
| 16:20-16:30 | KGsteeredDTI: Drug-Target Interaction Prediction via Knowledge Graphs-Steering |
|
Technical Session 14: Knowledge Engineering Chair: Dr. Yakun Chen Venue: E-LP2-20 Time: 16:30-17:00, 18 October 2025 |
|
|---|---|
| 16:30-16:42 | Leveraging Comment Data for Enhanced Content Discovery through Time Series Analysis of Impressive Scenes in Videos |
| 16:42-16:50 | SpiderGNN: Spatial-Aware Predictive Inference with Dynamic Edge Reasoning for In-Building 5G Signal Estimation |
| 16:50-16:58 | Contrastive Representation Learning of Floor Plan Images using Human Annotated Attributed Graphs |
|
Technical Session 15: AI for Education (Part 2) Chair: Dr. Daner Sun Venue: E-LP2-21 Time: 15:50-17:00, 18 October 2025 |
|
|---|---|
| 15:50-16:00 | ExamEaseVR: An Immersive Virtual Reality Exposure System for Alleviating Test Anxiety |
| 16:00-16:10 | An Exploration of ChatGPT in Personalized Learning: Behavioral Flow Analysis of Graduate Student Interactions |
| 16:10-16:20 | Designing an Interactive Al-Supported Learning System for Mathematics Education in Primary Schools |
| 16:20-16:30 | Design and Implementation of an AI Agent-Based Collaborative Platform for Software Engineering Education |
| 16:30-16:40 | Theory-Informed vs. Example-Driven Prompting for LLM-Based Qualitative Data Coding in Educational Research |
| 16:40-16:50 | A Systematic Review of International Studies on AI-supported Teacher Professional Development |