Detailed Conference Program

Main Conference Day 1: Feb 3 (Tuesday), 2026

Tutorial 1 (3306+3307)

09:00-10:30, Feb 3 (Tuesday), 2026
Chair: TBD.
  • Title: Time Series Analytics: Challenges, Foundation Models, and Benchmarking
    Jilin Hu & Yang Shu, East China Normal University

 

Tutorial 2 (3308+3309)

09:00-10:30, Feb 3 (Tuesday), 2026
Chair: TBD.
  • Title: AI-Enhanced ESG Data Management: Lifecycle, Challenges, and Large Language Model Frameworks
    Zhengyi Yang/UNSW Sydney, Xiwei (Sherry) Xu /CSIRO’s Data61, Youqing Fan/Western Sydney University

 

Opening (Qinghe Hall)

10:45-11:00, Feb 3 (Tuesday), 2026

 

Keynote Speech 1 (Qinghe Hall)

11:00-12:00, Feb 3 (Tuesday), 2026
Chair: TBD.
  • Keynote Speaker I
    (TBD)

 

Session 1A (3306+3307): Time Series & Spatial Data

14:00-15:45, Feb 3 (Tuesday), 2026
Chair: TBD.
  • Bridging Trend and Periodic Feature for Long-Term Time Series Forecasting
    Xingzhi Jing, Yingxia Shao, Yawen Li, Siyu Lou, Zhe Xue and Guanhua Ye.
  • Advancing CNNs for Time Series Anomaly Detection: A Multi-Scale Contrastive Learning Framework
    Hailong Gu, Haoran Xiong, Yuheng Dai, Zhipeng Xie, Zhenying He, X.Sean Wang and Jinbao Li.
  • A Graph-based Framework for Online Time Series Anomaly Detection Using Model Ensemble
    Zewei Yu, Jianqiu Xu and Caimin Li.
  • A Survey on Deep Leaning Models for Anomaly Trajectory Detection
    Chenxi Liu, Bohan Zhang and Yanwei Yu.
  • GGTP: Generative Game-Theoretic Prediction for Adversarial Autonomous Driving Validation
    Peiyan Song and Hao Zhang.

 

Session 1B (3308+3309): LLM-based Data Analysis

14:00-15:45, Feb 3 (Tuesday), 2026
Chair: TBD.
  • Schedroid: LLM-Based Interactive Scheduling for Smart Manufacturing
    Lilin Xu, Jingyan Zhu, Ziyang Xiao, Jingrong Xie, Shisi Guan, Han Wu, Xiaojin Fu, Wingyin Yu, Xiongwei Han, Tao Zhong, Mingxuan Yuan, Gang Chen and Dongxiang Zhang.
  • Mitigating Understanding Bias: Explicit Meta Enhancement in LLM-based Table Reasoning
    Jiaying Lin, Qingyang Mao, Mingyue Cheng and Qi Liu.
  • ForexAgent: Identifying Trading Strategies in Forex Markets with Large Language Models
    Xin Shu, Mingchen Ju, Zebin Chen, Yi Ding, Wangtong Zhang, Dong Wen and Zhengyi Yang.
  • Beyond Translation: Exploring LLM-based Multilingual Cognitive Behavioral Therapy
    Hyeonbeen Lee and Jangho Lee.
  • Better Together: Hybridizing Encoders and LLMs for Unseen Biomedical Texts
    Goun Pyeon, Hyeonseok Kang and Sangkeun Jung.

 

Poster & Demo Sessions (Lobby)

16:15-18:00, Feb 3 (Tuesday), 2026
Poster Papers
  • Evaluating Robustness and Generalization in LLMs under Adversarial and Real-World Conditions
    Yigit Demirsan and Olcay Taner Yildiz.
  • Chaos-Aided Image Encryption in the Complex-Valued Domain
    Ying Wang, Ying Xu, Hao Cheng, Jihang Luo, Guoxia Jia, Weixiang Chen, Shuwen Zeng, Meng Xu and Yin Li.
  • CTLKE: Keyphrase Extraction Agent for Chinese Technical Literature
    Taorui Chen, Jianqiang Xiao and Huan Wang.
  • Edge-Gated Graph Attention Network for Graph Classification
    Chi Chen, Shiyu Hou, Ye Yuan, Guangqing Zhong and Lianpeng Qiao.
  • Multi-Modal Semantics Enhanced Graph Convolutional Network for Session-Based Recommendation
    Chuanxu Jia, Jinyu Zhang, Hui Zhou and Zhongying Zhao.
  • ESG-LLM: An Instruction-Finetuned Large Language Model for Corporate ESG Scoring
    Yawen Li, Weitao Wang, Mengyu Zhuang and Taikang Tian.
  • Quantum Machine Learning-aided Personalized Federated Learning for Big Data
    Hieu Nguyen Doan, Xuan-Tung Nguyen, Joon-Ho Kwon and Won-Joo Hwang.
  • A Novel Large-Small Model Collaboration Framework for Code Generation: Balancing Cost and Accuracy
    Chengming Liu, Shiran Tao, Chenxuan Hu and Fuyang Li.
  • Optimizing Random Forest Hyperparameters: A Theoretical and Empirical Analysis of Variance Scaling
    Imani Beckett.
Demo Papers
  • Building Futures: LLM-Guided Career Pathways for Australia's Construction Graduates
    Yi Ding, Diya Yan, Xushuo Tang, Ziyao Lu, Wenqian Zhang, Riza Y. Sunindijo, Cynthia C. Wang, Zhengyi Yang.
  • SDMC: a System for Analyzing Supply-Demand Matching in Community Life Circles
    Zhangjun Wang, Kaikai Guo, Hongmei Chen, Lobsangtashi.
  • VARTS: a Tool for the Visualization and Analysis of Representative Time Series Data
    Duosi Jin, Jianqiu Xu, Guidong Zhang.
  • ViCE-HGNN: a Visual Interactive System for Explanation of Heterogeneous Graph Neural Networks
    Yunfeng Zhang, Lihua Zhou.
  • A Tool for Semantic-Aware Spatial Corpus Construction
    Wei Huang, Xieyang Wang, Jianqiu Xu, Guidong Zhang.

 

Reception

18:00-20:00, Feb 3 (Tuesday), 2026

 


Main Conference Day 2: Feb 4 (Wednesday), 2026

Tutorial 3 (Qinghe Hall)

09:00-10:45, Feb 4 (Wednesday), 2026
Chair: TBD.
  • Efficient Compression and Queries of Large Graphs
    Fan Zhang/Guangzhou University, Qingshuai Feng/Great Bay University

 

Keynote Speech 2 (Qinghe Hall)

11:00-12:00, Feb 4 (Wednesday), 2026
Chair: TBD.
  • Keynote Speaker II
    (TBD)

 

Session 2A (3306+3307): Graphs

14:00-15:45, Feb 4 (Wednesday), 2026
Chair: TBD.
  • Contrastive Learning-based Self-Supervised Community Search in Attributed Heterogeneous Information Networks
    Yuan Li, Jianpeng Sun, Guoli Yang and Yuhai Zhao.
  • H-MGC: Multi-Scale Graph Clustering through Adaptive Motif Resolution Fusion
    Ao Shen and Jianfeng Guan.
  • Contrastive Learning-Driven Self-Supervised Heterogeneous Graph Neural Network
    Xiangfu Meng, Yuzhuo Yang, Xiaoyan Zhang, Zihan Li and Guorui Zhang.
  • A Fusion Model to Cognize the Structure of Heterogeneous Graph for Public Safety Scenarios
    Jin Yu, Junping Du and Meiyu Liang.

 

Session 2B (3308+3309): LLM

14:00-15:45, Feb 4 (Wednesday), 2026
Chair: TBD.
  • Making Low-Saliency Context Exert Its Effect: Multi-prompt Context-aware Contrastive Decoding
    Mingzhao Li, Zhe Xue, Jinyuan Li, Meiyu Liang and Ziqiang Yu.
  • Investigating Evolutionary Characteristics of Deep Learning Framework Bugs in the Large Language Model Era
    Kaishen Xie, Jiale Shen, Hao Zhou and Fuyang Li.
  • Linear Separability and Feature Importance Analysis in Large Language Model Representation Spaces
    Jea Sung Kim and Suan Lee.
  • Calibrated Query Augmentation and Dual Preference Alignment for Retrieval-Augmented Generation
    Junjiang Wu, Zhe Xue, Shilong Ou, Liang Yu, Yingxia Shao and Guanhua Ye.
  • Knowledge Graph Enhanced Large Language Models for Traditional Chinese Medicine Question-Answering
    Qiran Yang, Jingxuan Han, Huazhe Wang, Shujie Xia, Jinyi Long, Jia Zhang and Guodong Du.

 

Session 3A (3306+3307): IR & Recommendation

16:15-18:00, Feb 4 (Wednesday), 2026
Chair: TBD.
  • MLego: Fast and Scalable Analytic Queries through Model Materialization and Reuse
    Fei Ye, Lu Jia, Bin Huang, Zhenying He, Yinan Jing, Kai Zhang and X. Sean Wang.
  • Tool-Augmented Multi-Turn Academic Paper Recommendation via Reinforcement Learning
    Jiarong Zhang, Jun-Ping Du, Zhe Xue, Guanhua Ye and Yingxia Shao.
  • MGMMD: Multi-Grained Multi-Modal Diffusion Model for Text-Video Cross-Modal Retrieval
    Ruoyu Fan, Meiyu Liang, Yuxuan Li, Zhe Xue and Xueying Liu.
  • Enhancing the Efficiency of Answering High-dimensional Why-not kNN Questions
    Qi Cao, Fei Ye, Lu Jia, Bin Huang, Zhenying He, Yinan Jing, Kai Zhang and X. Sean Wang.
  • Distributed Processing of kNN Queries over Moving Objects on Dynamic Road Networks
    Mingjin Tao, Kailin Jiao, Yawen Li, Wei Liu and Ziqiang Yu.

 

Session 3B (3308+3309): AI in Industrial Applications

16:15-18:00, Feb 4 (Wednesday), 2026
Chair: TBD.
  • Dynamic Pod Configuration for FPS-Compliant Split Computing in AI-RAN
    Daeyoung Jung, Haneul Ko, Daesik Kim, Minji Bang and Sangheon Pack.
  • Exploring Cost-Efficient and Resource-Optimized Kubernetes Deployments in Multi-Region Settings
    Richard Sinnott and Lixinqian Yu.
  • Intelligent Stuck Pipe Risk Prediction Based on Dynamic Condition Recognition and Multi-Source Data Fusion
    Jiangyue Liu, Yingfeng Li, Wentao Guan, Chuanyang Li, Chen Zhang and Xiubin Zhu.
  • Physics-Consistent Hybrid AI for Quantum Device Manufacturing
    Hyeyoung Lee and Muhammad Nadeem.
  • A Framework for Hallucination-Mitigating Manufacturing Anomaly Detection
    Seongmin Han, Jonghwa Shim and Eenjun Hwang.

 

Banquet (Qinghe Hall)

18:00-20:00, Feb 4 (Wednesday), 2026

 


Main Conference Day 3: Feb 5 (Thursday), 2026

Tutorial 4 (3306+3307)

09:00-12:00, Feb 5 (Thursday), 2026
Chair: TBD.
  • Title: Advances in Real-Time Processing of Longitudinal Data: From Statistical and Deep Learning Methods to Applications
    Ying-Ren Chien/National Taipei University of Technology, Pavel Loskot/ZJU-UIUC Institute, Yu Gao/Midea Group

 

Keynote Speech 3 (Qinghe Hall)

11:00-12:00, Feb 5 (Thursday), 2026
Chair: TBD.
  • Keynote Speaker III
    (TBD)

 

Session 4A (3306+3307): NLP & LLM Applications

14:00-15:45, Feb 5 (Thursday), 2026
Chair: TBD.
  • A Linguistic Analysis of Human and LLM Annotations on English Sentence Difficulty
    Yerim Han and Sangkeun Jung.
  • High-Quality Portrait Generation with Facial Semantic Prior Guidance
    Yilu Chen, Haijie Yang, Yi Pan and Jianjun Qian.
  • HybPashto-POS: A Hybrid Framework for Improved Part of Speech Tagging in the Low-Resourced Pashto Language
    Yar Muhammad, Richong Zhang and Asmat Ullah.
  • Improving Relational Deep Learning via Language Model-based Graph Augmentation
    Kunyoung Kim, Hwiseung Son and Mye Sohn.
  • PLiTS-Net: A PLM-Conditioned Liquid Thread Network for Social Media Sentiment Analysis
    Wanfeng Ding and Hanif Bhuiyan.

 

Session 4B (3308+3309): Security & Privacy

14:00-15:45, Feb 5 (Thursday), 2026
Chair: TBD.
  • Scalable and Efficient Unbalanced PSI from FHE with Client Friendly Overhead
    Jinmao Song, Jia-Nan Liu, Minhua Su, Jinlong Zheng, Kai He and Xueqiao Liu.
  • Constant-Round Outsourcing Private Decision Tree Evaluation
    Dingcheng Li, Kai He, Xueqiao Liu and Jia-Nan Liu.
  • Analyzing LLM Safety Circumvention via Multilingual Euphemistic Coating
    Sanghyeon Gil, Jaeseong Kim and Suan Lee.
  • RFLASS: Reinforced Federated Learning with Latent-Space Data Augmentation and Adaptive Sample Selection
    Zhenhui Pan, Junping Du, Zhe Xue, Meiyu Liang, Zeli Guan and Jia Wang.
  • An Adversarial Attack Framework for end-to-end Lipreading Systems
    Hira Tabassum, Jian Weng and Yongdong Wu.

 

Session 5A (3306+3307): Image Analysis

16:15-18:00, Feb 5 (Thursday), 2026
Chair: TBD.
  • AEONet: An Attention-Enhanced Network for Robust Image Matching
    Yang Zhao, Yijun Peng and Shuyuan Lin.
  • RelightDiffNet: A Dual-Branch Diffusion Model for Background-Conditioned Foreground Relighting
    Zhirui Liu, Xin Huang, Chunlin Luan, Yinda Chen, Guanchen Yao, Jialing Yang, Heidi Ottevaere, Yunfeng Nie and Wenqi Ren.
  • Improving Multi-Object Tracking performance via Graph-Augmented Detection under Computational Constraints
    Peiqi Liu and Wenling Li.
  • A Big Data-Oriented Robust Local-Region Image Watermarking Framework with Adaptive Geometric Correction
    Yantao Li, Ziqiao Liu and Bingwen Feng.

 

Session 5B (3308+3309): AI for Complex Data

16:15-18:00, Feb 5 (Thursday), 2026
Chair: TBD.
  • Multi-Dimensional Neural Mesh Compression via Joint 2D-3D Optimization
    Yuteng Liu and Haisheng Li.
  • LED: A Benchmark for Evaluating Layout Error Detection in Document Analysis
    Inbum Heo, Taewook Hwang, Jeesu Jung and Sangkeun Jung.
  • Hierarchical Group-Based Shapley Explanation for Interpretable Financial Fraud Detection
    Seungho Choi, Seonkyu Lim, Kwanggeun Kim and Jinwook Seo.
  • MEDKGC: A Mixture-of-Experts Enhanced Diffusion Model for Multimodal Knowledge Graph Completion
    Xu Hou, Meiyu Liang, Wei Huang, Junping Du, Zhe Xue, Yingxia Shao and Guanhua Ye.

 

Closing (3306+3307)

18:00-18:15, Feb 5 (Thursday), 2026