| 2025 | ICLR | Learning to Search from Demonstration Sequences. | Dixant Mittal, Liwei Kang, Wee Sun Lee |
| 2025 | ICML | 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 |
| 2025 | ICML | Continual Reinforcement Learning by Planning with Online World Models. | Zichen Liu, Guoji Fu, Chao Du, Wee Sun Lee, Min Lin |
| 2024 | ACL | When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models. | Jiaxin Wang, Lingling Zhang, Wee Sun Lee, Yujie Zhong, Liwei Kang, Jun Liu |
| 2024 | ACML | EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning. | Siddharth Aravindan, Dixant Mittal, Wee Sun Lee |
| 2024 | CIKM | Efficient Global Message Passing for Heterophilous Graphs. | Yanfei Dong, Mohammed Haroon Dupty, Lambert Deng, Yong Liang Goh, Wee Sun Lee |
| 2024 | CVPR | Constrained Layout Generation with Factor Graphs. | Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee |
| 2024 | EMNLP | On the Empirical Complexity of Reasoning and Planning in LLMs. | Liwei Kang, Zirui Zhao, David Hsu, Wee Sun Lee |
| 2024 | ICLR | Locality Sensitive Sparse Encoding for Learning World Models Online. | Zichen Liu, Chao Du, Wee Sun Lee, Min Lin |
| 2024 | KDD | Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. | Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee |
| 2023 | ACL | Tell2Design: A Dataset for Language-Guided Floor Plan Generation. | Sicong Leng, Yang Zhou, Mohammed Haroon Dupty, Wee Sun Lee, Sam Joyce, Wei Lu |
| 2023 | EACL | Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents. | Yanfei Dong, Lambert Deng, Jiazheng Zhang, Xiaodong Yu, Ting Lin, Francesco Gelli, Soujanya Poria, Wee Sun Lee |
| 2023 | ICLR | Efficient Offline Policy Optimization with a Learned Model. | Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu |
| 2023 | ICRA | Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement. | Zirui Zhao, Wee Sun Lee, David Hsu |
| 2022 | ICLR | PF-GNN: Differentiable particle filtering based approximation of universal graph representations. | Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee |
| 2022 | IJCAI | None Class Ranking Loss for Document-Level Relation Extraction. | Yang Zhou, Wee Sun Lee |
| 2022 | ICRA | Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects. | Xiao Ma, David Hsu, Wee Sun Lee |
| 2021 | CIKM | Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. | Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng |
| 2020 | AAAI | Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition. | Mohammed Haroon Dupty, Zhen Zhang, Wee Sun Lee |
| 2020 | AAAI | Particle Filter Recurrent Neural Networks. | Xiao Ma, Pter Karkus, David Hsu, Wee Sun Lee |
| 2020 | AISTATS | Multiplicative Gaussian Particle Filter. | Xuan Su, Wee Sun Lee, Zhen Zhang |
| 2020 | CoRL | Contrastive Variational Reinforcement Learning for Complex Observations. | Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee |
| 2020 | ICLR | Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. | Xiao Ma, Pter Karkus, David Hsu, Wee Sun Lee, Nan Ye |
| 2019 | ACL | An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
| 2019 | ICCV | Deep Graphical Feature Learning for the Feature Matching Problem. | Zhen Zhang, Wee Sun Lee |
| 2019 | ICRA | Learning To Grasp Under Uncertainty Using POMDPs. | Neha P. Garg, David Hsu, Wee Sun Lee |
| 2019 | ICRA | Factored Contextual Policy Search with Bayesian optimization. | Robert Pinsler, Pter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee |
| 2018 | ACL | Exploiting Document Knowledge for Aspect-level Sentiment Classification. | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
| 2018 | COLING | Effective Attention Modeling for Aspect-Level Sentiment Classification. | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
| 2018 | CoRL | Particle Filter Networks with Application to Visual Localization. | Pter Karkus, David Hsu, Wee Sun Lee |
| 2018 | CVPR | Convolutional Sequence to Sequence Model for Human Dynamics. | Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee |
| 2018 | EMNLP | Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
| 2018 | WAFR | Guided Exploration of Human Intentions for Human-Robot Interaction. | Min Chen, David Hsu, Wee Sun Lee |
| 2017 | ACL | An Unsupervised Neural Attention Model for Aspect Extraction. | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
| 2017 | CoRL | Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. | Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian |
| 2017 | ICML | Tensor Belief Propagation. | Andrew Wrigley, Wee Sun Lee, Nan Ye |
| 2017 | UAI | Shortest Path under Uncertainty: Exploration versus Exploitation. | Zhan Wei Lim, David Hsu, Wee Sun Lee |
| 2016 | AAAI | Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification. | Nguyen Viet Cuong, Nan Ye, Wee Sun Lee |
| 2016 | ICRA | POMDP-lite for robust robot planning under uncertainty. | Min Chen, Emilio Frazzoli, David Hsu, Wee Sun Lee |
| 2016 | IROS | Act to See and See to Act: POMDP planning for objects search in clutter. | Jue Kun Li, David Hsu, Wee Sun Lee |
| 2016 | WAFR | Importance Sampling for Online Planning under Uncertainty. | Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee |
| 2015 | ICRA | Intention-aware online POMDP planning for autonomous driving in a crowd. | Haoyu Bai, Shaojun Cai, Nan Ye, David Hsu, Wee Sun Lee |
| 2015 | IROS | POMDP to the Rescue: Boosting Performance for Robocup Rescue. | Kegui Wu, Wee Sun Lee, David Hsu |
| 2015 | ISRR | Learning Dynamic Robot-to-Human Object Handover from Human Feedback. | Andras Gabor Kupcsik, David Hsu, Wee Sun Lee |
| 2015 | SoCS | PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. | Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai |
| 2014 | ICML | Covering Number for Efficient Heuristic-based POMDP Planning. | Zongzhang Zhang, David Hsu, Wee Sun Lee |
| 2014 | UAI | Near-optimal Adaptive Pool-based Active Learning with General Loss. | Nguyen Viet Cuong, Wee Sun Lee, Nan Ye |
| 2014 | WAFR | Adaptive Informative Path Planning in Metric Spaces. | Zhan Wei Lim, David Hsu, Wee Sun Lee |
| 2013 | ICRA | Planning how to learn. | Haoyu Bai, David Hsu, Wee Sun Lee |
| 2012 | ICML | Optimizing F-measure: A Tale of Two Approaches. | Nan Ye, Kian Ming Adam Chai, Wee Sun Lee, Hai Leong Chieu |
| 2012 | ICML | Monte Carlo Bayesian Reinforcement Learning. | Yi Wang, Kok Sung Won, David Hsu, Wee Sun Lee |
| 2012 | WAFR | Intention-Aware Motion Planning. | Tirthankar Bandyopadhyay, Kok Sung Won, Emilio Frazzoli, David Hsu, Wee Sun Lee, Daniela Rus |
| 2010 | AAAI | Structured Parameter Elicitation. | Li Ling Ko, David Hsu, Wee Sun Lee, Sylvie C. W. Ong |
| 2010 | WAFR | Monte Carlo Value Iteration for Continuous-State POMDPs. | Haoyu Bai, David Hsu, Wee Sun Lee, Ngo Anh Vien |
| 2009 | EMNLP | Natural Language Generation with Tree Conditional Random Fields. | Wei Lu, Hwee Tou Ng, Wee Sun Lee |
| 2009 | EMNLP | Domain adaptive bootstrapping for named entity recognition. | Dan Wu, Wee Sun Lee, Nan Ye, Hai Leong Chieu |
| 2009 | HCI | Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction. | Sylvie C. W. Ong, David Hsu, Wee Sun Lee, Hanna Kurniawati |
| 2009 | ISRR | Motion Planning under Uncertainty for Robotic Tasks with Long Time Horizons. | Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Lee |
| 2008 | AAAI | Relaxed Survey Propagation: A Sum-Product Algorithm for Max-SAT. | Hai Leong Chieu, Wee Sun Lee |
| 2008 | EMNLP | A Generative Model for Parsing Natural Language to Meaning Representations. | Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemoyer |
| 2008 | ICRA | A point-based POMDP planner for target tracking. | David Hsu, Wee Sun Lee, Nan Rong |
| 2008 | SIGIR | Learning with support vector machines for query-by-multiple-examples. | Dell Zhang, Wee Sun Lee |
| 2007 | EMNLP | Improving Word Sense Disambiguation Using Topic Features. | Junfu Cai, Wee Sun Lee, Yee Whye Teh |
| 2007 | IJCAI | Optimizing Classifier Performance in Word Sense Disambiguation by Redefining Sense Classes. | Upali Sathyajith Kohomban, Wee Sun Lee |
| 2006 | AAAI | Properties of Forward Pruning in Game-Tree Search. | Yew Jin Lim, Wee Sun Lee |
| 2006 | AAAI | RankCut - A Domain Independent Forward Pruning Method for Games. | Yew Jin Lim, Wee Sun Lee |
| 2006 | KDD | Extracting key-substring-group features for text classification. | Dell Zhang, Wee Sun Lee |
| 2005 | AAAI | Word Sense Disambiguation with Semi-Supervised Learning. | Thanh Phong Pham, Hwee Tou Ng, Wee Sun Lee |
| 2005 | ACL | Learning Semantic Classes for Word Sense Disambiguation. | Upali Sathyajith Kohomban, Wee Sun Lee |
| 2005 | WWW | Understanding the function of web elements for mobile content delivery using random walk models. | Xinyi Yin, Wee Sun Lee |
| 2005 | SIGIR | Text classification with kernels on the multinomial manifold. | Dell Zhang, Xi Chen, Wee Sun Lee |
| 2004 | AAAI | Text Classification by Labeling Words. | Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu |
| 2004 | DASFAA | Semi-supervised Text Classification Using Partitioned EM. | Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu |
| 2004 | WCNC | Personalization of web content for wireless mobile device. | Xinyi Yin, Wee Sun Lee, Zhenqiang Tan |
| 2004 | WWW | Using link analysis to improve layout on mobile devices. | Xinyi Yin, Wee Sun Lee |
| 2004 | WWW | Web taxonomy integration using support vector machines. | Dell Zhang, Wee Sun Lee |
| 2004 | SIGIR | Web taxonomy integration through co-bootstrapping. | Dell Zhang, Wee Sun Lee |
| 2003 | ICDM | Building Text Classifiers Using Positive and Unlabeled Examples. | Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip S. Yu |
| 2003 | ICML | Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression. | Wee Sun Lee, Bing Liu |
| 2003 | SIGIR | Question classification using support vector machines. | Dell Zhang, Wee Sun Lee |
| 2002 | ICML | Partially Supervised Classification of Text Documents. | Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li |
| 2001 | COLT | A Theoretical Analysis of Query Selection for Collaborative Filtering. | Wee Sun Lee, Philip M. Long |
| 2001 | ICML | Collaborative Learning and Recommender Systems. | Wee Sun Lee |
| 2000 | DCC | Trees, Windows, and Tiles for Wavelet Image Compression. | Wee Sun Lee |
| 1999 | DCC | Edge Adaptive Prediction for Lossless Image Coding. | Wee Sun Lee |
| 1998 | ICIP | Spatial Temporal Concealment of Lost Blocks in Coded Video. | Wee Sun Lee, Michael R. Frater, Mark R. Pickering, John F. Arnold |
| 1998 | ICIP | Error Concealment for Arbitrarily Shaped Video Objects. | Wee Sun Lee, Michael R. Frater, Mark R. Pickering, John F. Arnold |
| 1997 | ICIP | Robustness of multiplexing protocols for audio-visual services over wireless networks. | Wee Sun Lee, Michael R. Frater, Mark R. Pickering, John F. Arnold |
| 1997 | ICIP | A diversity-based scheme for reducing error propagation in video. | Wee Sun Lee, Michael R. Frater, Mark R. Pickering, John F. Arnold |
| 1997 | ICML | Boosting the margin: A new explanation for the effectiveness of voting methods. | Robert E. Schapire, Yoav Freund, Peter Barlett, Wee Sun Lee |
| 1996 | COLT | The Importance of Convexity in Learning with Squared Loss. | Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson |
| 1995 | COLT | On Efficient Agnostic Learning of Linear Combinations of Basis Functions. | Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson |
| 1994 | COLT | Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes. | Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson |