Wee Sun Lee - RankMe

236 papers A* 59A 9B 6C 10Misc 3Journal 102Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are We Evaluating the Edit Locality of LLM Model Editing Properly? CoRR Wei Liu, Haomei Xu, Hongkai Liu, Zhiying Deng, Ruixuan Li, Heng Huang, Yee Whye Teh, Wee Sun Lee
2026	J	`jnl`	Beyond Imitation: Reinforcement Learning for Active Latent Planning. CoRR Zhi Zheng, Wee Sun Lee
2026	J	`jnl`	Can Vision-Language Models Solve the Shell Game? CoRR Tiedong Liu, Wee Sun Lee
2026	J	`jnl`	Rethinking the Trust Region in LLM Reinforcement Learning. CoRR Penghui Qi, Xiangxin Zhou, Zichen Liu, Tianyu Pang, Chao Du, Min Lin, Wee Sun Lee
2025	J	`jnl`	Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions. CoRR Guoji Fu, Wee Sun Lee
2025	A*	`conf`	Continual Reinforcement Learning by Planning with Online World Models. ICML Zichen Liu, Guoji Fu, Chao Du, Wee Sun Lee, Min Lin
2025	J	`jnl`	Continual Reinforcement Learning by Planning with Online World Models. CoRR Zichen Liu, Guoji Fu, Chao Du, Wee Sun Lee, Min Lin
2025	J	`jnl`	Defeating the Training-Inference Mismatch via FP16. CoRR Penghui Qi, Zichen Liu, Xiangxin Zhou, Tianyu Pang, Chao Du, Wee Sun Lee, Min Lin
2025	J	`jnl`	EUBRL: Epistemic Uncertainty Directed Bayesian Reinforcement Learning. CoRR Jianfei Ma, Wee Sun Lee
2025	J	`jnl`	EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning. CoRR Siddharth Aravindan, Dixant Mittal, Wee Sun Lee
2025	J	`jnl`	Extending Epistemic Uncertainty Beyond Parameters Would Assist in Designing Reliable LLMs. CoRR T. Duy Nguyen-Hien, Desi R. Ivanova, Yee Whye Teh, Wee Sun Lee
2025	J	`jnl`	First Try Matters: Revisiting the Role of Reflection in Reasoning Models. CoRR Liwei Kang, Yue Deng, Yao Xiao, Zhanfeng Mo, Wee Sun Lee, Lidong Bing
2025	J	`jnl`	GEM: A Gym for Agentic LLMs. CoRR Zichen Liu, Anya Sims, Keyu Duan, Changyu Chen, Simon Yu, Xiangxin Zhou, Haotian Xu, Shaopan Xiong, Bo Liu, Chenmien Tan, Chuen Yang Beh, Weixun Wang, Hao Zhu, Weiyan Shi, Diyi Yang, Michael Shieh, Yee Whye Teh, Wee Sun Lee, Min Lin
2025	J	`jnl`	Generative Adversarial Gumbel MCTS for Abstract Visual Composition Generation. CoRR Zirui Zhao, Boye Niu, David Hsu, Wee Sun Lee
2025	J	`jnl`	Is Model Editing Built on Sand? Revealing Its Illusory Success and Fragile Foundation. CoRR Wei Liu, Haomei Xu, Bingqing Liu, Zhiying Deng, Haozhao Wang, Jun Wang, Ruixuan Li, Yee Whye Teh, Wee Sun Lee
2025	J	`jnl`	KeYric: Unsupervised Keywords Extraction and Expansion from Music for Coherent Lyrics Generation. ACM Trans. Multim. Comput. Commun. Appl. Xichu Ma, Varun Sharma, Min-Yen Kan, Wee Sun Lee, Ye Wang
2025	A*	`conf`	Learning to Search from Demonstration Sequences. ICLR Dixant Mittal, Liwei Kang, Wee Sun Lee
2025	J	`jnl`	Optimizing Anytime Reasoning via Budget Relative Policy Optimization. CoRR Penghui Qi, Zichen Liu, Tianyu Pang, Chao Du, Wee Sun Lee, Min Lin
2025	J	`jnl`	Reasoning-CV: Fine-tuning Powerful Reasoning LLMs for Knowledge-Assisted Claim Verification. CoRR Zhi Zheng, Wee Sun Lee
2025	A*	`conf`	SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy. ICML Yong Liang Goh, Zhiguang Cao, Yining Ma, Jianan Zhou, Mohammed Haroon Dupty, Wee Sun Lee
2025	J	`jnl`	SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy. CoRR Yong Liang Goh, Zhiguang Cao, Yining Ma, Jianan Zhou, Mohammed Haroon Dupty, Wee Sun Lee
2025	J	`jnl`	SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning. CoRR Bo Liu, Leon Guertler, Simon Yu, Zichen Liu, Penghui Qi, Daniel Balcells, Mickel Liu, Cheston Tan, Weiyan Shi, Min Lin, Wee Sun Lee, Natasha Jaques
2025	J	`jnl`	SofT-GRPO: Surpassing Discrete-Token LLM Reinforcement Learning via Gumbel-Reparameterized Soft-Thinking Policy Optimization. CoRR Zhi Zheng, Wee Sun Lee
2025	J	`jnl`	Understanding R1-Zero-Like Training: A Critical Perspective. CoRR Zichen Liu, Changyu Chen, Wenjun Li, Penghui Qi, Tianyu Pang, Chao Du, Wee Sun Lee, Min Lin
2024	A*	`conf`	Constrained Layout Generation with Factor Graphs. CVPR Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee
2024	J	`jnl`	Constrained Layout Generation with Factor Graphs. CoRR Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee
2024	J	`jnl`	Continual Learning of Numerous Tasks from Long-tail Distributions. CoRR Liwei Kang, Wee Sun Lee
2024	J	`jnl`	Differentiable Cluster Graph Neural Network. CoRR Yanfei Dong, Mohammed Haroon Dupty, Lambert Deng, Zhuanghua Liu, Yong Liang Goh, Wee Sun Lee
2024	J	`jnl`	Differentiable Tree Search in Latent State Space. CoRR Dixant Mittal, Wee Sun Lee
2024	C	`conf`	EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning. ACML Siddharth Aravindan, Dixant Mittal, Wee Sun Lee
2024	A	`conf`	Efficient Global Message Passing for Heterophilous Graphs. CIKM Yanfei Dong, Mohammed Haroon Dupty, Lambert Deng, Yong Liang Goh, Wee Sun Lee
2024	A*	`conf`	Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. KDD Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee
2024	J	`jnl`	Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. CoRR Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee
2024	J	`jnl`	Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents. CoRR Yanfei Dong, Lambert Deng, Jiazheng Zhang, Xiaodong Yu, Ting Lin, Francesco Gelli, Soujanya Poria, Wee Sun Lee
2024	A*	`conf`	Locality Sensitive Sparse Encoding for Learning World Models Online. ICLR Zichen Liu, Chao Du, Wee Sun Lee, Min Lin
2024	J	`jnl`	Locality Sensitive Sparse Encoding for Learning World Models Online. CoRR Zichen Liu, Chao Du, Wee Sun Lee, Min Lin
2024	—	`conf`	On the Empirical Complexity of Reasoning and Planning in LLMs. EMNLP (Findings) Liwei Kang, Zirui Zhao, David Hsu, Wee Sun Lee
2024	J	`jnl`	On the Empirical Complexity of Reasoning and Planning in LLMs. CoRR Liwei Kang, Zirui Zhao, David Hsu, Wee Sun Lee
2024	J	`jnl`	PF-GNN: Differentiable particle filtering based approximation of universal graph representations. CoRR Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee
2024	J	`jnl`	Sample-Efficient Alignment for LLMs. CoRR Zichen Liu, Changyu Chen, Chao Du, Wee Sun Lee, Min Lin
2024	—	`conf`	When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models. ACL (1) Jiaxin Wang, Lingling Zhang, Wee Sun Lee, Yujie Zhong, Liwei Kang, Jun Liu
2023	A*	`conf`	Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement. ICRA Zirui Zhao, Wee Sun Lee, David Hsu
2023	A*	`conf`	Efficient Offline Policy Optimization with a Learned Model. ICLR Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu
2023	A	`conf`	ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search. AAMAS Dixant Mittal, Siddharth Aravindan, Wee Sun Lee
2023	J	`jnl`	Factor Graph Neural Networks. CoRR Zhen Zhang, Mohammed Haroon Dupty, Fan Wu, Javen Qinfeng Shi, Wee Sun Lee
2023	J	`jnl`	Factor Graph Neural Networks. J. Mach. Learn. Res. Zhen Zhang, Mohammed Haroon Dupty, Fan Wu, Javen Qinfeng Shi, Wee Sun Lee
2023	A*	`conf`	Large Language Models as Commonsense Knowledge for Large-Scale Task Planning. NeurIPS Zirui Zhao, Wee Sun Lee, David Hsu
2023	J	`jnl`	Large Language Models as Commonsense Knowledge for Large-Scale Task Planning. CoRR Zirui Zhao, Wee Sun Lee, David Hsu
2023	—	`conf`	Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents. EACL (Findings) Yanfei Dong, Lambert Deng, Jiazheng Zhang, Xiaodong Yu, Ting Lin, Francesco Gelli, Soujanya Poria, Wee Sun Lee
2023	—	`conf`	Tell2Design: A Dataset for Language-Guided Floor Plan Generation. ACL (1) Sicong Leng, Yang Zhou, Mohammed Haroon Dupty, Wee Sun Lee, Sam Joyce, Wei Lu
2023	J	`jnl`	Tell2Design: A Dataset for Language-Guided Floor Plan Generation. CoRR Sicong Leng, Yang Zhou, Mohammed Haroon Dupty, Wee Sun Lee, Sam Conrad Joyce, Wei Lu
2022	J	`jnl`	Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem. CoRR Yong Liang Goh, Wee Sun Lee, Xavier Bresson, Thomas Laurent, Nicholas Lim
2022	J	`jnl`	Context-Hierarchy Inverse Reinforcement Learning. CoRR Wei Gao, David Hsu, Wee Sun Lee
2022	J	`jnl`	Differentiable Parsing and Visual Grounding of Verbal Instructions for Object Placement. CoRR Zirui Zhao, Wee Sun Lee, David Hsu
2022	J	`jnl`	Efficient Offline Policy Optimization with a Learned Model. CoRR Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu
2022	J	`jnl`	ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search. CoRR Dixant Mittal, Siddharth Aravindan, Wee Sun Lee
2022	J	`jnl`	Graph Representation Learning with Individualization and Refinement. CoRR Mohammed Haroon Dupty, Wee Sun Lee
2022	A*	`conf`	Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects. ICRA Xiao Ma, David Hsu, Wee Sun Lee
2022	A*	`conf`	None Class Ranking Loss for Document-Level Relation Extraction. IJCAI Yang Zhou, Wee Sun Lee
2022	J	`jnl`	None Class Ranking Loss for Document-Level Relation Extraction. CoRR Yang Zhou, Wee Sun Lee
2022	A*	`conf`	PF-GNN: Differentiable particle filtering based approximation of universal graph representations. ICLR Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee
2021	J	`jnl`	A bidirectional graph neural network for traveling salesman problems on arbitrary symmetric graphs. Eng. Appl. Artif. Intell. Yujiao Hu, Zhen Zhang, Yuan Yao, Xingpeng Huyan, Xingshe Zhou, Wee Sun Lee
2021	A*	`conf`	AI-Lyricist: Generating Music and Vocabulary Constrained Lyrics. ACM Multimedia Xichu Ma, Ye Wang, Min-Yen Kan, Wee Sun Lee
2021	—	`conf`	Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning. ECML/PKDD (1) Muhammad Rizki Maulana, Wee Sun Lee
2021	J	`jnl`	Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning. CoRR Muhammad Rizki Maulana, Wee Sun Lee
2021	J	`jnl`	HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty. Int. J. Robotics Res. Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee
2021	J	`jnl`	Learning Latent Graph Dynamics for Deformable Object Manipulation. CoRR Xiao Ma, David Hsu, Wee Sun Lee
2021	A	`conf`	State-Aware Variational Thompson Sampling for Deep Q-Networks. AAMAS Siddharth Aravindan, Wee Sun Lee
2021	J	`jnl`	State-Aware Variational Thompson Sampling for Deep Q-Networks. CoRR Siddharth Aravindan, Wee Sun Lee
2021	A	`conf`	Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. CIKM Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng
2020	J	`jnl`	A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs. Knowl. Based Syst. Yujiao Hu, Yuan Yao, Wee Sun Lee
2020	J	`jnl`	Contrastive Variational Model-Based Reinforcement Learning for Complex Observations. CoRR Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee
2020	Misc	`conf`	Contrastive Variational Reinforcement Learning for Complex Observations. CoRL Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee
2020	J	`jnl`	Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations. CoRR Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
2020	A*	`conf`	Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. ICLR Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
2020	J	`jnl`	Effective Training Strategies for Deep Graph Neural Networks. CoRR Kuangqi Zhou, Yanfei Dong, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng
2020	J	`jnl`	Factor Graph Molecule Network for Structure Elucidation. CoRR Hieu Le Trung, Yiqing Xu, Wee Sun Lee
2020	A*	`conf`	Factor Graph Neural Networks. NeurIPS Zhen Zhang, Fan Wu, Wee Sun Lee
2020	A	`conf`	Multiplicative Gaussian Particle Filter. AISTATS Xuan Su, Wee Sun Lee, Zhen Zhang
2020	J	`jnl`	Multiplicative Gaussian Particle Filter. CoRR Xuan Su, Wee Sun Lee, Zhen Zhang
2020	J	`jnl`	Neuralizing Efficient Higher-order Belief Propagation. CoRR Mohammed Haroon Dupty, Wee Sun Lee
2020	A*	`conf`	Particle Filter Recurrent Neural Networks. AAAI Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
2020	A*	`conf`	Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition. AAAI Mohammed Haroon Dupty, Zhen Zhang, Wee Sun Lee
2019	—	`conf`	An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. ACL (1) Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
2019	J	`jnl`	An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. CoRR Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
2019	—	`conf`	DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces. Robotics: Science and Systems Neha Priyadarshini Garg, David Hsu, Wee Sun Lee
2019	A*	`conf`	Deep Graphical Feature Learning for the Feature Matching Problem. ICCV Zhen Zhang, Wee Sun Lee
2019	—	`conf`	Differentiable Algorithm Networks for Composable Robot Learning. Robotics: Science and Systems Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
2019	J	`jnl`	Differentiable Algorithm Networks for Composable Robot Learning. CoRR Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
2019	J	`jnl`	Factor Graph Neural Network. CoRR Zhen Zhang, Fan Wu, Wee Sun Lee
2019	J	`jnl`	Factored Contextual Policy Search with Bayesian Optimization. CoRR Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2019	A*	`conf`	Factored Contextual Policy Search with Bayesian optimization. ICRA Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2019	J	`jnl`	Importance sampling for online planning under uncertainty. Int. J. Robotics Res. Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee
2019	—	`conf`	LeTS-Drive: Driving in a Crowd by Learning from Tree Search. Robotics: Science and Systems Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee
2019	J	`jnl`	LeTS-Drive: Driving in a Crowd by Learning from Tree Search. CoRR Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee
2019	A*	`conf`	Learning To Grasp Under Uncertainty Using POMDPs. ICRA Neha P. Garg, David Hsu, Wee Sun Lee
2019	J	`jnl`	Particle Filter Recurrent Neural Networks. CoRR Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
2019	C	`ed.`	Proceedings of The 11th Asian Conference on Machine Learning, ACML 2019, 17-19 November 2019, Nagoya, Japan. ACML Wee Sun Lee, Taiji Suzuki
2019	J	`jnl`	Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition. CoRR Mohammed Haroon Dupty, Zhen Zhang, Wee Sun Lee
2018	A*	`conf`	Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. EMNLP Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
2018	J	`jnl`	Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. CoRR Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
2018	J	`jnl`	Autonomous Driving among Many Pedestrians: Models and Algorithms. CoRR Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha
2018	A*	`conf`	Convolutional Sequence to Sequence Model for Human Dynamics. CVPR Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee
2018	J	`jnl`	Convolutional Sequence to Sequence Model for Human Dynamics. CoRR Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee
2018	B	`conf`	Effective Attention Modeling for Aspect-Level Sentiment Classification. COLING Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
2018	—	`conf`	Exploiting Document Knowledge for Aspect-level Sentiment Classification. ACL (2) Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
2018	J	`jnl`	Exploiting Document Knowledge for Aspect-level Sentiment Classification. CoRR Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
2018	J	`jnl`	Foreword: special issue for the journal track of the 9th Asian Conference on Machine Learning (ACML 2017). Mach. Learn. Wee Sun Lee, Robert J. Durrant
2018	C	`conf`	Guided Exploration of Human Intentions for Human-Robot Interaction. WAFR Min Chen, David Hsu, Wee Sun Lee
2018	J	`jnl`	Guided Exploration of Human Intentions for Human-Robot Interaction. CoRR Min Chen, David Hsu, Wee Sun Lee
2018	—	`conf`	HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. Robotics: Science and Systems Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee
2018	J	`jnl`	HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. CoRR Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee
2018	J	`jnl`	Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation. CoRR Péter Karkus, David Hsu, Wee Sun Lee
2018	J	`jnl`	PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians. IEEE Robotics Autom. Lett. Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha
2018	Misc	`conf`	Particle Filter Networks with Application to Visual Localization. CoRL Péter Karkus, David Hsu, Wee Sun Lee
2018	J	`jnl`	Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations. CoRR Péter Karkus, David Hsu, Wee Sun Lee
2018	—	`conf`	Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties. Robotics: Science and Systems Jue Kun Li, Wee Sun Lee, David Hsu
2017	—	`conf`	An Unsupervised Neural Attention Model for Aspect Extraction. ACL (1) Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
2017	J	`jnl`	DESPOT: Online POMDP Planning with Regularization. J. Artif. Intell. Res. Nan Ye, Adhiraj Somani, David Hsu, Wee Sun Lee
2017	Misc	`conf`	Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. CoRL Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian
2017	J	`jnl`	Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. CoRR Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian
2017	—	`conf`	QMDP-Net: Deep Learning for Planning under Partial Observability. NIPS Péter Karkus, David Hsu, Wee Sun Lee
2017	J	`jnl`	QMDP-Net: Deep Learning for Planning under Partial Observability. CoRR Péter Karkus, David Hsu, Wee Sun Lee
2017	A	`conf`	Shortest Path under Uncertainty: Exploration versus Exploitation. UAI Zhan Wei Lim, David Hsu, Wee Sun Lee
2017	A*	`conf`	Tensor Belief Propagation. ICML Andrew Wrigley, Wee Sun Lee, Nan Ye
2016	A	`conf`	Act to See and See to Act: POMDP planning for objects search in clutter. IROS Jue Kun Li, David Hsu, Wee Sun Lee
2016	J	`jnl`	Adaptive informative path planning in metric spaces. Int. J. Robotics Res. Zhan Wei Lim, David Hsu, Wee Sun Lee
2016	J	`jnl`	DESPOT: Online POMDP Planning with Regularization. CoRR Nan Ye, Adhiraj Somani, David Hsu, Wee Sun Lee
2016	J	`jnl`	Factored Contextual Policy Search with Bayesian Optimization. CoRR Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2016	C	`conf`	Importance Sampling for Online Planning under Uncertainty. WAFR Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee
2016	J	`jnl`	Learning Dynamic Robot-to-Human Object Handover from Human Feedback. CoRR Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2016	J	`jnl`	POMDP-lite for Robust Robot Planning under Uncertainty. CoRR Min Chen, Emilio Frazzoli, David Hsu, Wee Sun Lee
2016	A*	`conf`	POMDP-lite for robust robot planning under uncertainty. ICRA Min Chen, Emilio Frazzoli, David Hsu, Wee Sun Lee
2016	A*	`conf`	Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification. AAAI Nguyen Viet Cuong, Nan Ye, Wee Sun Lee
2016	J	`jnl`	Robustness of Bayesian Pool-based Active Learning Against Prior Misspecification. CoRR Nguyen Viet Cuong, Nan Ye, Wee Sun Lee
2015	—	`conf`	Adaptive Stochastic Optimization: From Sets to Paths. NIPS Zhan Wei Lim, David Hsu, Wee Sun Lee
2015	A*	`conf`	Intention-aware online POMDP planning for autonomous driving in a crowd. ICRA Haoyu Bai, Shaojun Cai, Nan Ye, David Hsu, Wee Sun Lee
2015	—	`conf`	Learning Dynamic Robot-to-Human Object Handover from Human Feedback. ISRR (1) Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2015	A*	`conf`	PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. ICAPS Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai
2015	B	`conf`	PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. SOCS Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai
2015	A	`conf`	POMDP to the Rescue: Boosting Performance for Robocup Rescue. IROS Kegui Wu, Wee Sun Lee, David Hsu
2015	—	`conf`	Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs. JCDL Nguyen Viet Cuong, Muthu Kumar Chandrasekaran, Min-Yen Kan, Wee Sun Lee
2014	C	`conf`	Adaptive Informative Path Planning in Metric Spaces. WAFR Zhan Wei Lim, David Hsu, Wee Sun Lee
2014	A*	`conf`	Bootstrapping Simulation-Based Algorithms with a Suboptimal Policy. ICAPS Truong-Huy Dinh Nguyen, Tomi Silander, Wee Sun Lee, Tze-Yun Leong
2014	J	`jnl`	Conditional random field with high-order dependencies for sequence labeling and segmentation. J. Mach. Learn. Res. Viet Cuong Nguyen, Nan Ye, Wee Sun Lee, Hai Leong Chieu
2014	A*	`conf`	Covering Number for Efficient Heuristic-based POMDP Planning. ICML Zongzhang Zhang, David Hsu, Wee Sun Lee
2014	J	`jnl`	Integrated perception and planning in the continuous space: A POMDP approach. Int. J. Robotics Res. Haoyu Bai, David Hsu, Wee Sun Lee
2014	A	`conf`	Near-optimal Adaptive Pool-based Active Learning with General Loss. UAI Nguyen Viet Cuong, Wee Sun Lee, Nan Ye
2014	J	`jnl`	Relaxed Survey Propagation for The Weighted Maximum Satisfiability Problem. CoRR Hai Leong Chieu, Wee Sun Lee
2013	—	`conf`	Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion. NIPS Viet Cuong Nguyen, Wee Sun Lee, Nan Ye, Kian Ming Adam Chai, Hai Leong Chieu
2013	—	`conf`	DESPOT: Online POMDP Planning with Regularization. NIPS Adhiraj Somani, Nan Ye, David Hsu, Wee Sun Lee
2013	—	`conf`	Integrated Perception and Planning in the Continuous Space: A POMDP Approach. Robotics: Science and Systems Haoyu Bai, David Hsu, Wee Sun Lee
2013	J	`jnl`	Introduction: special issue of selected papers of ACML 2012. Mach. Learn. Zhi-Hua Zhou, Wee Sun Lee, Steven C. H. Hoi, Wray L. Buntine, Hiroshi Motoda
2013	—	`conf`	Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space. NIPS Xinhua Zhang, Wee Sun Lee, Yee Whye Teh
2013	A*	`conf`	Planning how to learn. ICRA Haoyu Bai, David Hsu, Wee Sun Lee
2012	J	`jnl`	Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic CoRR Truong-Huy Dinh Nguyen, Wee Sun Lee, Tze-Yun Leong
2012	—	`conf`	Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic. ECML/PKDD (2) Truong-Huy Dinh Nguyen, Wee Sun Lee, Tze-Yun Leong
2012	J	`jnl`	CAPIR: Collaborative Action Planning with Intention Recognition CoRR Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant
2012	C	`conf`	Intention-Aware Motion Planning. WAFR Tirthankar Bandyopadhyay, Kok Sung Won, Emilio Frazzoli, David Hsu, Wee Sun Lee, Daniela Rus
2012	A*	`conf`	Monte Carlo Bayesian Reinforcement Learning. ICML Yi Wang, Kok Sung Won, David Hsu, Wee Sun Lee
2012	J	`jnl`	Optimizing F-measure: A Tale of Two Approaches CoRR Nan Ye, Kian Ming Adam Chai, Wee Sun Lee, Hai Leong Chieu
2012	A*	`conf`	Optimizing F-measure: A Tale of Two Approaches. ICML Nan Ye, Kian Ming Adam Chai, Wee Sun Lee, Hai Leong Chieu
2011	—	`conf`	CAPIR: Collaborative Action Planning with Intention Recognition. AIIDE Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant
2011	—	`conf`	Monte Carlo Value Iteration with Macro-Actions. NIPS Zhan Wei Lim, David Hsu, Wee Sun Lee
2011	J	`jnl`	Motion planning under uncertainty for robotic tasks with long time horizons. Int. J. Robotics Res. Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Lee
2011	C	`conf`	Preface. ACML Chun-Nan Hsu, Wee Sun Lee
2011	C	`ed.`	Proceedings of the 3rd Asian Conference on Machine Learning, ACML 2011, Taoyuan, Taiwan, November 13-15, 2011 ACML Chun-Nan Hsu, Wee Sun Lee
2011	—	`conf`	Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs. Robotics: Science and Systems Haoyu Bai, David Hsu, Mykel J. Kochenderfer, Wee Sun Lee
2010	C	`conf`	Monte Carlo Value Iteration for Continuous-State POMDPs. WAFR Haoyu Bai, David Hsu, Wee Sun Lee, Ngo Anh Vien
2010	J	`jnl`	Planning under Uncertainty for Robotic Tasks with Mixed Observability. Int. J. Robotics Res. Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun Lee
2010	A*	`conf`	Structured Parameter Elicitation. AAAI Li Ling Ko, David Hsu, Wee Sun Lee, Sylvie C. W. Ong
2009	—	`conf`	Conditional Random Fields with High-Order Features for Sequence Labeling. NIPS Nan Ye, Wee Sun Lee, Hai Leong Chieu, Dan Wu
2009	A*	`conf`	Domain adaptive bootstrapping for named entity recognition. EMNLP Dan Wu, Wee Sun Lee, Nan Ye, Hai Leong Chieu
2009	C	`conf`	Motion Planning under Uncertainty for Robotic Tasks with Long Time Horizons. ISRR Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Lee
2009	A*	`conf`	Natural Language Generation with Tree Conditional Random Fields. EMNLP Wei Lu, Hwee Tou Ng, Wee Sun Lee
2009	—	`conf`	POMDPs for robotic tasks with mixed observability. Robotics: Science and Systems Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun Lee
2009	—	`conf`	Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction. HCI (7) Sylvie C. W. Ong, David Hsu, Wee Sun Lee, Hanna Kurniawati
2009	J	`jnl`	Query-By-Multiple-Examples using Support Vector Machines. J. Digit. Inf. Manag. Dell Zhang, Wee Sun Lee
2009	J	`jnl`	Relaxed Survey Propagation for The Weighted Maximum Satisfiability Problem. J. Artif. Intell. Res. Hai Leong Chieu, Wee Sun Lee
2008	A*	`conf`	A Generative Model for Parsing Natural Language to Meaning Representations. EMNLP Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemoyer
2008	A*	`conf`	A point-based POMDP planner for target tracking. ICRA David Hsu, Wee Sun Lee, Nan Rong
2008	J	`jnl`	Correction to "The Importance of Convexity in Learning With Squared Loss". IEEE Trans. Inf. Theory Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson
2008	—	`conf`	Learning classifiers without negative examples: A reduction approach. ICDIM Dell Zhang, Wee Sun Lee
2008	A*	`conf`	Learning with support vector machines for query-by-multiple-examples. SIGIR Dell Zhang, Wee Sun Lee
2008	A*	`conf`	Relaxed Survey Propagation: A Sum-Product Algorithm for Max-SAT. AAAI Hai Leong Chieu, Wee Sun Lee
2008	—	`conf`	SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces. Robotics: Science and Systems Hanna Kurniawati, David Hsu, Wee Sun Lee
2007	—	`conf`	Cooled and Relaxed Survey Propagation for MRFs. NIPS Hai Leong Chieu, Wee Sun Lee, Yee Whye Teh
2007	—	`conf`	Improving Word Sense Disambiguation Using Topic Features. EMNLP-CoNLL Junfu Cai, Wee Sun Lee, Yee Whye Teh
2007	—	`conf`	NUS-ML: Improving Word Sense Disambiguation Using Topic Features. SemEval@ACL Junfu Cai, Wee Sun Lee, Yee Whye Teh
2007	A*	`conf`	Optimizing Classifier Performance in Word Sense Disambiguation by Redefining Sense Classes. IJCAI Upali Sathyajith Kohomban, Wee Sun Lee
2007	—	`conf`	What makes some POMDP problems easy to approximate? NIPS David Hsu, Wee Sun Lee, Nan Rong
2006	A*	`conf`	Extracting key-substring-group features for text classification. KDD Dell Zhang, Wee Sun Lee
2006	—	`conf`	Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms. NIPS Xinhua Zhang, Wee Sun Lee
2006	—	`conf`	Learning to Separate Text Content and Style for Classification. AIRS Dell Zhang, Wee Sun Lee
2006	A*	`conf`	Properties of Forward Pruning in Game-Tree Search. AAAI Yew Jin Lim, Wee Sun Lee
2006	A*	`conf`	RankCut - A Domain Independent Forward Pruning Method for Games. AAAI Yew Jin Lim, Wee Sun Lee
2005	A*	`conf`	Learning Semantic Classes for Word Sense Disambiguation. ACL Upali Sathyajith Kohomban, Wee Sun Lee
2005	A*	`conf`	Text classification with kernels on the multinomial manifold. SIGIR Dell Zhang, Xi Chen, Wee Sun Lee
2005	—	`conf`	Understanding the function of web elements for mobile content delivery using random walk models. WWW (Special interest tracks and posters) Xinyi Yin, Wee Sun Lee
2005	A*	`conf`	Word Sense Disambiguation with Semi-Supervised Learning. AAAI Thanh Phong Pham, Hwee Tou Ng, Wee Sun Lee
2004	—	`conf`	Experience of Using SVM for the Triage Task in TREC 2004 Genomics Track. TREC Dell Zhang, Wee Sun Lee
2004	J	`jnl`	Learning to integrate web taxonomies. J. Web Semant. Dell Zhang, Wee Sun Lee
2004	B	`conf`	Personalization of web content for wireless mobile device. WCNC Xinyi Yin, Wee Sun Lee, Zhenqiang Tan
2004	B	`conf`	Semi-supervised Text Classification Using Partitioned EM. DASFAA Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
2004	A*	`conf`	Text Classification by Labeling Words. AAAI Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu
2004	—	`conf`	Towards Understanding the Functions of Web Element. AIRS Xinyi Yin, Wee Sun Lee
2004	A*	`conf`	Using link analysis to improve layout on mobile devices. WWW Xinyi Yin, Wee Sun Lee
2004	A*	`conf`	Web taxonomy integration through co-bootstrapping. SIGIR Dell Zhang, Wee Sun Lee
2004	A*	`conf`	Web taxonomy integration using support vector machines. WWW Dell Zhang, Wee Sun Lee
2003	—	`conf`	A Language Modeling Approach to Passage Question Answering. TREC Dell Zhang, Wee Sun Lee
2003	J	`jnl`	A Theoretical Analysis of Query Selection for Collaborative Filtering. Mach. Learn. Sanjoy Dasgupta, Wee Sun Lee, Philip M. Long
2003	A*	`conf`	Building Text Classifiers Using Positive and Unlabeled Examples. ICDM Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip S. Yu
2003	A*	`conf`	Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression. ICML Wee Sun Lee, Bing Liu
2003	A*	`conf`	Question classification using support vector machines. SIGIR Dell Zhang, Wee Sun Lee
2002	A*	`conf`	Partially Supervised Classification of Text Documents. ICML Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li
2002	—	`conf`	Web Based Pattern Mining and Matching Approach to Question Answering. TREC Dell Zhang, Wee Sun Lee
2001	—	`conf`	A Theoretical Analysis of Query Selection for Collaborative Filtering. COLT/EuroCOLT Wee Sun Lee, Philip M. Long
2001	A*	`conf`	Collaborative Learning and Recommender Systems. ICML Wee Sun Lee
2000	J	`jnl`	A robust codec for transmission of very low bit-rate video over channels with bursty errors. IEEE Trans. Circuits Syst. Video Technol. Wee Sun Lee, Mark R. Pickering, Michael R. Frater, John F. Arnold
2000	J	`jnl`	Tiling and adaptive image compression. IEEE Trans. Inf. Theory Wee Sun Lee
2000	B	`conf`	Trees, Windows, and Tiles for Wavelet Image Compression. Data Compression Conference Wee Sun Lee
1999	B	`conf`	Edge Adaptive Prediction for Lossless Image Coding. Data Compression Conference Wee Sun Lee
1998	—	`conf`	Error Concealment for Arbitrarily Shaped Video Objects. ICIP (3) Wee Sun Lee, Michael R. Frater, Mark R. Pickering, John F. Arnold
1998	—	`conf`	Spatial Temporal Concealment of Lost Blocks in Coded Video. ICIP (3) Wee Sun Lee, Michael R. Frater, Mark R. Pickering, John F. Arnold
1998	J	`jnl`	The Importance of Convexity in Learning with Squared Loss. IEEE Trans. Inf. Theory Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson
1997	—	`conf`	A diversity-based scheme for reducing error propagation in video. ICIP (3) Wee Sun Lee, Michael R. Frater, Mark R. Pickering, John F. Arnold
1997	A*	`conf`	Boosting the margin: A new explanation for the effectiveness of voting methods. ICML Robert E. Schapire, Yoav Freund, Peter Barlett, Wee Sun Lee
1997	J	`jnl`	Correction to 'Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes'. Neural Comput. Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson
1997	J	`jnl`	Error Resilience in Video and Multiplexing Layers for Very Low Bit-Rate Video Coding Systems. IEEE J. Sel. Areas Commun. Wee Sun Lee, Mark R. Pickering, Michael R. Frater, John F. Arnold
1997	—	`conf`	Generalization in Decision Trees and DNF: Does Size Matter? NIPS Mostefa Golea, Peter L. Bartlett, Wee Sun Lee, Llew Mason
1997	—	`conf`	Robustness of multiplexing protocols for audio-visual services over wireless networks. ICIP (3) Wee Sun Lee, Michael R. Frater, Mark R. Pickering, John F. Arnold
1996	J	`jnl`	Efficient agnostic learning of neural networks with bounded fan-in. IEEE Trans. Inf. Theory Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson
1996	A*	`conf`	The Importance of Convexity in Learning with Squared Loss. COLT Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson
1995	J	`jnl`	Lower Bounds on the VC Dimension of Smoothly Parameterized Function Classes. Neural Comput. Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson
1995	A*	`conf`	On Efficient Agnostic Learning of Linear Combinations of Basis Functions. COLT Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson
1994	A*	`conf`	Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes. COLT Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson