Accepted Papers

The list of accepted papers for KDD Singapore Symposium 2026 is as follows.

Note that the oral selection was only based on criteria including the reputation of the paper’s publication venue, the interestingness and relevance of the topic to the symposium audience, and the diversity of research themes represented in the oral program.

Oral Presentations

  • 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)
  • 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
  • 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
  • FedSC: Federated Learning with Semantic-Aware Collaboration — KDD 2025; Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen; University of Wollongong
  • 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
  • A Partition Cover Approach to Tokenization — NeurIPS; Jia Peng Lim, Shawn Tan, Davin Choo, Hady W. Lauw; Singapore Management University
  • 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
  • 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
  • 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

Poster Presentations

  • Reinforcement Speculative Decoding for Fast Ranking — KDD 2026; Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang, Xun Jiang; Nanyang Technological University
  • 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
  • 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)
  • 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
  • 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
  • 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
  • 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
  • AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection — KDD; Hezhe Qiao, Chaoxi Niu, Ling Chen, Guansong Pang; Singapore Management 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
  • LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-Modal Data — PAKDD; Yifan Wang, Haodi Ma, Daisy Zhe Wang; University of Hawaii at Manoa
  • 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
  • Not All Factors Crowd Equally: A Game-Theoretic Model of Alpha Decay — Work-in-Progress; Chorok Lee; KAIST
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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