Program Schedule

Program Overview

9.00—9.30amRegistration with light Breakfast/Refreshment
9.30—9.45amOpening
9.45—10.30amKeynote 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  
10.30—11.00amOral Talks: Graph Mining Session
#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—11.45amKeynote 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  
11.45am—12.30pmOral Talks: Learning with Heterogeneous Data Session
#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—2pmLunch Reception
2.00—2.45pmKeynote Talk #3:  
Speaker –  Xinxing Xu, Principal Research Manager, Microsoft Research Asia Singapore, Singapore
Title –  TBA  
2.45—3.05pmSponsor Talk
3.05—4.05pmOral Talks: Foundation Models Session
#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—5.35pmCoffee Break and Poster Session
(See below for the poster schedule of 31 papers)
5.35—5.45pmAward Presentation and Closing

Poster Sessions

Theme 1. Large Language Models: Learning, Reasoning, Safety, and Analysis

  • 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)
  • 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
  • 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)
  • Disentangling Recall and Reasoning in Transformer Models through Layer-wise Attention and Activation Analysis — AAAI; Harshwardhan Fartale, Ashish Kattamuri, Rahul Raja, Arpita Vats, Ishita Prasad, Akshata Kishore Moharir; Microsoft
  • 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
  • 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
  • Equilibrium Dynamics and Mitigation of Gender Bias in Synthetically Generated Data — AAAI; Ashish Kattamuri, Arpita Vats, Harshwardhan Fartale, Rahul Raja, Akshata Moharir, Ishita Prasad; Proofpoint
  • 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
  • Lost in Translation? Found in Evaluation: A Comprehensive Survey on Sentence-Level Translation Evaluation — ACM Computing Surveys; Ananya Mukherjee, Manish Shrivastava; International Institute of Information Technology Hyderabad
  • 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

  • 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
  • Evaluating Adaptive AI Support: Human Perceptions of LLM-Generated Relationship Advice — AAAI; Niva Manchanda, Akshata Kishore Moharir, Sri Sangara Sritharan, Ratna Kandala; University of Kansas
  • From Explainability to Action: A Generative Operational Framework for Integrating XAI in Clinical Mental Health Screening — ICDM; Ratna Kandala, Akshata Kishore Moharir, Divya Arvinda Nayak; University of Kansas
  • 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
  • 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
  • LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-Modal Data — PAKDD; Yifan Wang, Haodi Ma, Daisy Zhe Wang; University of Hawaii at Manoa
  • 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

  • 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
  • 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
  • AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection — KDD; Hezhe Qiao, Chaoxi Niu, Ling Chen, Guansong Pang; Singapore Management University
  • 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
  • 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

  • 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
  • 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
  • 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
  • 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
  • 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
  • Not All Factors Crowd Equally: A Game-Theoretic Model of Alpha Decay — Work-in-Progress; Chorok Lee; KAIST

Theme 5. Recommendation Systems, Ranking, and Federated Learning

  • Reinforcement Speculative Decoding for Fast Ranking — KDD 2026; Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang, Xun Jiang; Nanyang Technological University
  • 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
  • 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

  • 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
  • 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