Lee, Wee Sun

67 publications

NeurIPS 2025 Approximation and Generalization Abilities of Score-Based Neural Network Generative Models for Sub-Gaussian Distributions Guoji Fu, Wee Sun Lee

ICML 2025 Continual Reinforcement Learning by Planning with Online World Models Zichen Liu, Guoji Fu, Chao Du, Wee Sun Lee, Min Lin

ICLR 2025 Learning to Search from Demonstration Sequences Dixant Mittal, Liwei Kang, Wee Sun Lee

NeurIPS 2025 Optimizing Anytime Reasoning via Budget Relative Policy Optimization Penghui Qi, Zichen Liu, Tianyu Pang, Chao Du, Wee Sun Lee, Min Lin

ICML 2025 SHIELD: Multi-Task Multi-Distribution Vehicle Routing Solver with Sparsity and Hierarchy Yong Liang Goh, Zhiguang Cao, Yining Ma, Jianan Zhou, Mohammed Haroon Dupty, Wee Sun Lee

NeurIPS 2025 Solving the Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation Zhen Zhang, Javen Qinfeng Shi, Wee Sun Lee

CVPR 2024 Constrained Layout Generation with Factor Graphs Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee

ICMLW 2024 Differentiable Cluster Graph Neural Network Yanfei Dong, Mohammed Haroon Dupty, Lambert Deng, Zhuanghua Liu, Yong Liang Goh, Wee Sun Lee

ACML 2024 EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning Siddharth Aravindan, Dixant Mittal, Wee Sun Lee

ICLR 2024 Locality Sensitive Sparse Encoding for Learning World Models Online Zichen Liu, Chao Du, Wee Sun Lee, Min Lin

NeurIPSW 2024 Sample-Efficient Alignment for LLMs Zichen Liu, Changyu Chen, Chao Du, Wee Sun Lee, Min Lin

ICLR 2023 Efficient Offline Policy Optimization with a Learned Model Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu

JMLR 2023 Factor Graph Neural Networks Zhen Zhang, Mohammed Haroon Dupty, Fan Wu, Javen Qinfeng Shi, Wee Sun Lee

NeurIPSW 2023 Implicit Graph Neural Diffusion Based on Constrained Dirichlet Energy Minimization Guoji Fu, Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee

NeurIPS 2023 Large Language Models as Commonsense Knowledge for Large-Scale Task Planning Zirui Zhao, Wee Sun Lee, David Hsu

NeurIPSW 2023 Large Language Models as Commonsense Knowledge for Large-Scale Task Planning Zirui Zhao, Wee Sun Lee, David Hsu

NeurIPSW 2022 Efficient Offline Policy Optimization with a Learned Model Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu

IJCAI 2022 None Class Ranking Loss for Document-Level Relation Extraction Yang Zhou, Wee Sun Lee

ICLR 2022 PF-GNN: Differentiable Particle Filtering Based Approximation of Universal Graph Representations Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee

ECML-PKDD 2021 Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning Muhammad Rizki Maulana, Wee Sun Lee

CoRL 2020 Contrastive Variational Reinforcement Learning for Complex Observations Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee

ICLR 2020 Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations Xiao Ma, Peter Karkus, David Hsu, Wee Sun Lee, Nan Ye

NeurIPS 2020 Factor Graph Neural Networks Zhen Zhang, Fan Wu, Wee Sun Lee

AISTATS 2020 Multiplicative Gaussian Particle Filter Xuan Su, Wee Sun Lee, Zhen Zhang

AAAI 2020 Particle Filter Recurrent Neural Networks Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee

AAAI 2020 Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition Mohammed Haroon Dupty, Zhen Zhang, Wee Sun Lee

ACML 2019 Asian Conference on Machine Learning: Preface Wee Sun Lee, Taiji Suzuki

MLJ 2018 Foreword: Special Issue for the Journal Track of the 9th Asian Conference on Machine Learning (ACML 2017) Wee Sun Lee, Robert J. Durrant

CoRL 2018 Particle Filter Networks with Application to Visual Localization Péter Karkus, David Hsu, Wee Sun Lee

JAIR 2017 DESPOT: Online POMDP Planning with Regularization Nan Ye, Adhiraj Somani, David Hsu, Wee Sun Lee

CoRL 2017 Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian

NeurIPS 2017 QMDP-Net: Deep Learning for Planning Under Partial Observability Peter Karkus, David Hsu, Wee Sun Lee

UAI 2017 Shortest Path Under Uncertainty: Exploration Versus Exploitation Zhan Wei Lim, David Hsu, Wee Sun Lee

ICML 2017 Tensor Belief Propagation Andrew Wrigley, Wee Sun Lee, Nan Ye

AAAI 2016 Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification Nguyen Viet Cuong, Nan Ye, Wee Sun Lee

NeurIPS 2015 Adaptive Stochastic Optimization: From Sets to Paths Zhan Wei Lim, David Hsu, Wee Sun Lee

MLOSS 2014 Conditional Random Field with High-Order Dependencies for Sequence Labeling and Segmentation Nguyen Viet Cuong, Nan Ye, Wee Sun Lee, Hai Leong Chieu

ICML 2014 Covering Number for Efficient Heuristic-Based POMDP Planning Zongzhang Zhang, David Hsu, Wee Sun Lee

UAI 2014 Near-Optimal Adaptive Pool-Based Active Learning with General Loss Nguyen Viet Cuong, Wee Sun Lee, Nan Ye

NeurIPS 2013 Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion Nguyen Viet Cuong, Wee Sun Lee, Nan Ye, Kian Ming A Chai, Hai Leong Chieu

NeurIPS 2013 DESPOT: Online POMDP Planning with Regularization Adhiraj Somani, Nan Ye, David Hsu, Wee Sun Lee

MLJ 2013 Introduction: Special Issue of Selected Papers of ACML 2012 Zhi-Hua Zhou, Wee Sun Lee, Steven C. H. Hoi, Wray L. Buntine, Hiroshi Motoda

NeurIPS 2013 Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space Xinhua Zhang, Wee Sun Lee, Yee Whye Teh

ECML-PKDD 2012 Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic Truong-Huy Dinh Nguyen, Wee Sun Lee, Tze-Yun Leong

ICML 2012 Monte Carlo Bayesian Reinforcement Learning Yi Wang, Kok Sung Won, David Hsu, Wee Sun Lee

ICML 2012 Optimizing F-Measure: A Tale of Two Approaches Nan Ye, Kian Ming Adam Chai, Wee Sun Lee, Hai Leong Chieu

ACML 2011 Preface Chun-Nan Hsu, Wee Sun Lee

AAAI 2010 Structured Parameter Elicitation Li Ling Ko, David Hsu, Wee Sun Lee, Sylvie C. W. Ong

JAIR 2009 Relaxed Survey Propagation for the Weighted Maximum Satisfiability Problem Hai Leong Chieu, Wee Sun Lee

AAAI 2008 Relaxed Survey Propagation: A Sum-Product Algorithm for Max-SAT Hai Leong Chieu, Wee Sun Lee

IJCAI 2007 Optimizing Classifier Performance in Word Sense Disambiguation by Redefining Sense Classes Upali Sathyajith Kohomban, Wee Sun Lee

AAAI 2006 Properties of Forward Pruning in Game-Tree Search Yew Jin Lim, Wee Sun Lee

AAAI 2006 RankCut - A Domain Independent Forward Pruning Method for Games Yew Jin Lim, Wee Sun Lee

AAAI 2005 Word Sense Disambiguation with Semi-Supervised Learning Thanh Phong Pham, Hwee Tou Ng, Wee Sun Lee

AAAI 2004 Text Classification by Labeling Words Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu

MLJ 2003 A Theoretical Analysis of Query Selection for Collaborative Filtering Sanjoy Dasgupta, Wee Sun Lee, Philip M. Long

ICML 2003 Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression Wee Sun Lee, Bing Liu

ICML 2002 Partially Supervised Classification of Text Documents Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li

COLT 2001 A Theoretical Analysis of Query Selection for Collaborative Filtering Wee Sun Lee, Philip M. Long

ICML 2001 Collaborative Learning and Recommender Systems Wee Sun Lee

ICML 1997 Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods Robert E. Schapire, Yoav Freund, Peter Barlett, Wee Sun Lee

NeCo 1997 Correction to 'Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes' Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson

NeurIPS 1997 Generalization in Decision Trees and DNF: Does Size Matter? Mostefa Golea, Peter L. Bartlett, Wee Sun Lee, Llew Mason

COLT 1996 The Importance of Convexity in Learning with Squared Loss Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson

NeCo 1995 Lower Bounds on the VC Dimension of Smoothly Parameterized Function Classes Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson

COLT 1995 On Efficient Agnostic Learning of Linear Combinations of Basis Functions Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson

COLT 1994 Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson