Date: 20 January 2026
Venue: Singapore University of Technology and Design (see the Venue page for more information)
- Keynote and Oral Talks will take place at SUTD Building 2, Level 5, 2.505
- All others—Registration, Breakfast, Lunch, Coffee Break, Poster Session, and Closing—will take place at SUTD Campus Center
Program Overview
| TIME | PROGRAM | SESSION CHAIR |
| 9.00—9.30am | Registration with light Breakfast/Refreshment | |
| 9.30—9.45am | Opening | Hady W. Lauw, Chair, Singapore ACM SIGKDD Chapter |
| 9.45—10.30am | Keynote Talk #1: Speaker – Longbing Cao, Distinguished Chair Professor in AI & ARC Future Fellow, Macquarie University, Australia Title – Humanoid AI with Humanity Modeling, and Human and Virtual-Physical Humanoid Alignment | Zhu Sun, SUTD |
| 10.30—11.00am | Oral Talks: Graph Mining Session | Zhu Sun, SUTD |
| #1: Polarized Communities meet Densest Subgraph: Efficient and Effective Polarization Detection in Signed Networks ACM TKDD; Francesco Gullo, Domenico Mandaglio, Andrea Tagarelli; University of Calabria | ||
| #2: One Node One Model: Featuring the Missing-Half for Graph Clustering AAAI; Xuanting Xie, Bingheng Li, Erlin Pan, Zhaochen Guo, Zhao Kang, Wenyu Chen; University of Electronic Science and Technology of China & Singapore Management University | ||
| 11.00—11.45am | Keynote Talk #2: Speaker – Carl Yang, Assistant Professor of Computer Science, Emory University, United States Title – Expediting Next-Generation AI for Health via KG and LLM Co-Learning | Yunshan Ma, SMU |
| 11.45am—12.30pm | Oral Talks: Learning with Heterogeneous Data Session | Yunshan Ma, SMU |
| #3: Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation KDD; Peiliang Gong, Yucheng Wang, Min Wu, Zhenghua Chen, Xiaoli Li, Daoqiang Zhang; Nanyang Technological University | ||
| #4: FedSC: Federated Learning with Semantic-Aware Collaboration KDD 2025; Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen; University of Wollongong | ||
| #5: How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation ICML; Yining Pan, Qiongjie Cui, Xulei Yang, Na Zhao; Singapore University of Technology and Design | ||
| 12.30—2pm | Lunch Reception | |
| 2.00—2.45pm | Keynote Talk #3: Speaker – Xinxing Xu, Principal Research Manager, Microsoft Research Asia Singapore, Singapore Title – Building Industry Intelligence with Foundation Models and Agentic AI Systems | Roy Ka-Wei Lee, SUTD |
| 2.45—3.05pm | Sponsor Talk by Cubist Systematic Strategies Speaker – Qingyu Tan, Senior Data Scientist, Cubist (Point72), Singapore | Roy Ka-Wei Lee, SUTD |
| 3.05—4.05pm | Oral Talks: Foundation Models Session | Roy Ka-Wei Lee, SUTD |
| #6: Human-Pedagogy Inspired LLM Fine-Tuning Paradigm for Lifelong Learning and Continual Adaptation AAAI 2026; Nitin Vetcha; NUS (Visiting Scholar), IISc (UG B.Tech MnC) | ||
| #7: A Partition Cover Approach to Tokenization NeurIPS; Jia Peng Lim, Shawn Tan, Davin Choo, Hady W. Lauw; Singapore Management University | ||
| #8: Discovering and Reasoning of Causality in the Hidden World with Large Language Models NeurIPS 2024 / MLR extension submission; Chenxi Liu, Yongqiang Chen, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang; MBZUAI & CMU | ||
| #9: Toxicity Red-Teaming: Benchmarking LLM Safety in Singapore’s Low-Resource Languages EMNLP; Yujia Hu, Ming Shan Hee, Preslav Nakov, Roy Ka-Wei Lee; Singapore University of Technology and Design | ||
| 4.05—5.35pm | Coffee Break and Poster Session (See below for the poster schedule of 27 papers) | |
| 5.35—5.45pm | Award Presentation and Closing | Yuan Fang, SMU |
Poster Sessions
Theme 1. Large Language Models: Learning, Reasoning, Safety, and Analysis
- #1 Human-Pedagogy Inspired LLM Fine-Tuning Paradigm for Lifelong Learning and Continual Adaptation — AAAI 2026; Nitin Vetcha; NUS (Visiting Scholar), IISc (UG B.Tech MnC)
- #2 Discovering and Reasoning of Causality in the Hidden World with Large Language Models — NeurIPS 2024 (extension under submission to JMLR); Chenxi Liu, Yongqiang Chen, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang; MBZUAI & CMU
- #3 SAMKE: An Open-Ended Autonomous Foundation-Model-Based Agent for Meta-Knowledge Discovery and Learning — AAAI 2026; Nitin Vetcha, Dianbo Liu; NUS (Visiting Scholar), IISc (UG B.Tech MnC)
- #4 AdaMCoT: Rethinking Cross-Lingual Factual Reasoning Through Adaptive Multilingual Chain-of-Thought — AAAI 2026; Weihua Zheng, Xin Huang, Zhengyuan Liu, Tarun Kumar Vangani, Bowei Zou, Xiyan Tao, Yuhao Wu, Ai Ti Aw, Nancy F. Chen, Roy Ka-Wei Lee; Singapore University of Technology and Design
- #5 Toxicity Red-Teaming: Benchmarking LLM Safety in Singapore’s Low-Resource Languages — EMNLP; Yujia Hu, Ming Shan Hee, Preslav Nakov, Roy Ka-Wei Lee; Singapore University of Technology and Design
- #6 Defects4C: Benchmarking Large Language Model Repair Capability with C/C++ Bugs — ASE; Jian Wang, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jiongchi Yu, Jiaolong Kong, Yi Li; Nanyang Technological University
- #7 A Partition Cover Approach to Tokenization — NeurIPS; Jia Peng Lim, Shawn Tan, Davin Choo, Hady W. Lauw; Singapore Management University
Theme 2. Agentic AI, Human–AI Interaction, and Decision Support
- #8 Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation — AAAI; Hongyang Liu, Zhu Sun, Tianjun Wei, Yan Wang, Jiajie Zhu, Xinghua Qu; Macquarie University
- #9 Agentic NLP for Thematic Analysis of Fed Speeches: Yield Impacts under Jerome Powell (2018–2025) — 28th European Conference on Artificial Intelligence (ECAI 2025); Pankaj Kumar; Olam Agri
- #10 Structured Agentic Workflows for Financial Time-Series Modelling with LLMs and Reflective Feedback — ACM ICAIF 2025; Yihao Ang, Yifan Bao, Lei Jiang, Jiajie Tao, Anthony K. H. Tung, Lukasz Szpruch, Hao Ni; National University of Singapore
- #11 LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-Modal Data — PAKDD; Yifan Wang, Haodi Ma, Daisy Zhe Wang; University of Hawaii at Manoa
- #12 Semi-Automated Ontology and Process Mapping for Total Airport Management — Work-in-Progress; Darryl Teo, Adharsha Sam Edwin Sam Devahi, Koh Chuan Shen Marcus, Rakesh Nagi, Nuno Antunes Ribeiro; Singapore University of Technology and Design
Theme 3. Graphs, Networks, and Relational Learning
- #13 Polarized Communities meet Densest Subgraph: Efficient and Effective Polarization Detection in Signed Networks — ACM Transactions on Knowledge Discovery from Data (TKDD); Francesco Gullo, Domenico Mandaglio, Andrea Tagarelli; University of Calabria
- #14 One Node One Model: Featuring the Missing-Half for Graph Clustering — AAAI; Xuanting Xie, Bingheng Li, Erlin Pan, Zhaochen Guo, Zhao Kang, Wenyu Chen; University of Electronic Science and Technology of China & Singapore Management University
- #15 AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection — KDD; Hezhe Qiao, Chaoxi Niu, Ling Chen, Guansong Pang; Singapore Management University
- #16 A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness — SIGMOD 2026; Ningyi Liao, Haoyu Liu, Zulun Zhu, Siqiang Luo, Laks V. S. Lakshmanan; Nanyang Technological University
- #17 Navigating Complexity: A Comprehensive Review of Heterogeneous Information Networks and Embedding Techniques — Knowledge and Information Systems; Khouloud Ammar, Wissem Inoubli, Sami Zghal, Engelbert Mephu Nguifo; University Clermont Auvergne
Theme 4. Time-Series Modeling, Forecasting, and Domain Adaptation
- #18 Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation — KDD; Peiliang Gong, Yucheng Wang, Min Wu, Zhenghua Chen, Xiaoli Li, Daoqiang Zhang; Nanyang Technological University
- #19 TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification — CIKM 2025; Yongkyung Oh, Dongyoung Lim, Sungil Kim, Alex A. T. Bui; UCLA
- #20 CTBench: Cryptocurrency Time Series Generation Benchmark — NeurIPS 2025 Workshop on Generative AI in Finance; Yihao Ang, Qiang Wang, Qiang Huang, Yifan Bao, Xinyu Xi, Anthony K. H. Tung, Chen Jin, Zhiyong Huang; National University of Singapore
- #21 Reasoning on Time-Series for Financial Technical Analysis — ICAIF Workshop (Best Paper); Kelvin J. L. Koa, Jan Chen, Yunshan Ma, Huanhuan Zheng, Tat-Seng Chua; National University of Singapore
- #22 ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction — IEEE Transactions on Knowledge and Data Engineering (TKDE 2025); Chenxi Liu, Kethmi Hirushini Hettige, Qianxiong Xu, Cheng Long, Shili Xiang, Gao Cong, Ziyue Li, Rui Zhao; Nanyang Technological University, Singapore
Theme 5. Recommendation Systems, Ranking, and Federated Learning
- #23 Reinforcement Speculative Decoding for Fast Ranking — KDD 2026; Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang, Xun Jiang; Nanyang Technological University
- #24 From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization — AAAI; Peiyu Hu, Wayne Lu, Jia Wang; Xi’an Jiaotong-Liverpool University
- #25 FedSC: Federated Learning with Semantic-Aware Collaboration — KDD 2025; Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen; University of Wollongong
Theme 6. Multimodal Learning, Vision, and Document Intelligence
- #26 How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation — ICML; Yining Pan, Qiongjie Cui, Xulei Yang, Na Zhao; Singapore University of Technology and Design
- #27 LaTeX2Layout: High-Fidelity, Scalable Document Layout Annotation Pipeline for Layout Detection — AAAI 2026; Feijiang Han, Zelong Wang, Bowen Wang, Xinxin Liu, Skyler Cheung, Delip Rao, Chris Callison-Burch, Lyle Ungar; University of Pennsylvania
