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2020 – today
- 2024
[c128]Jiaxin Wang, Lingling Zhang, Wee Sun Lee, Yujie Zhong, Liwei Kang, Jun Liu:
When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models. ACL (1) 2024: 13130-13147- [c127]Yanfei Dong
, Mohammed Haroon Dupty, Lambert Deng, Yong Liang Goh, Wee Sun Lee:
Efficient Global Message Passing for Heterophilous Graphs. CIKM 2024: 3736-3740 - [c126]Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee:
Constrained Layout Generation with Factor Graphs. CVPR 2024: 12851-12860 - [c125]Liwei Kang, Zirui Zhao, David Hsu, Wee Sun Lee:
On the Empirical Complexity of Reasoning and Planning in LLMs. EMNLP (Findings) 2024: 2897-2936 - [c124]Zichen Liu, Chao Du, Wee Sun Lee, Min Lin:
Locality Sensitive Sparse Encoding for Learning World Models Online. ICLR 2024 - [c123]Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee:
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. KDD 2024: 884-895 - [i55]Dixant Mittal, Wee Sun Lee:
Differentiable Tree Search in Latent State Space. CoRR abs/2401.11660 (2024) - [i54]Zichen Liu, Chao Du, Wee Sun Lee, Min Lin:
Locality Sensitive Sparse Encoding for Learning World Models Online. CoRR abs/2401.13034 (2024) - [i53]Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee:
PF-GNN: Differentiable particle filtering based approximation of universal graph representations. CoRR abs/2401.17752 (2024) - [i52]Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee:
Constrained Layout Generation with Factor Graphs. CoRR abs/2404.00385 (2024) - [i51]Liwei Kang, Wee Sun Lee:
Continual Learning of Numerous Tasks from Long-tail Distributions. CoRR abs/2404.02754 (2024) - [i50]Liwei Kang, Zirui Zhao, David Hsu, Wee Sun Lee:
On the Empirical Complexity of Reasoning and Planning in LLMs. CoRR abs/2404.11041 (2024) - [i49]Yanfei Dong, Lambert Deng, Jiazheng Zhang, Xiaodong Yu, Ting Lin, Francesco Gelli, Soujanya Poria, Wee Sun Lee:
Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents. CoRR abs/2405.06701 (2024) - [i48]Yanfei Dong, Mohammed Haroon Dupty, Lambert Deng, Zhuanghua Liu, Yong Liang Goh, Wee Sun Lee:
Differentiable Cluster Graph Neural Network. CoRR abs/2405.16185 (2024) - [i47]Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee:
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. CoRR abs/2408.03585 (2024) - [i46]Zichen Liu, Changyu Chen, Chao Du, Wee Sun Lee, Min Lin:
Sample-Efficient Alignment for LLMs. CoRR abs/2411.01493 (2024) - 2023
- [j26]Zhen Zhang, Mohammed Haroon Dupty, Fan Wu, Javen Qinfeng Shi, Wee Sun Lee:
Factor Graph Neural Networks. J. Mach. Learn. Res. 24: 181:1-181:54 (2023) - [c122]Sicong Leng, Yang Zhou, Mohammed Haroon Dupty, Wee Sun Lee, Sam Joyce, Wei Lu:
Tell2Design: A Dataset for Language-Guided Floor Plan Generation. ACL (1) 2023: 14680-14697 - [c121]Dixant Mittal, Siddharth Aravindan, Wee Sun Lee:
ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search. AAMAS 2023: 1345-1353 - [c120]Yanfei Dong, Lambert Deng, Jiazheng Zhang, Xiaodong Yu, Ting Lin, Francesco Gelli, Soujanya Poria, Wee Sun Lee:
Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents. EACL (Findings) 2023: 1441-1454 - [c119]Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu:
Efficient Offline Policy Optimization with a Learned Model. ICLR 2023 - [c118]Zirui Zhao, Wee Sun Lee, David Hsu:
Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement. ICRA 2023: 11546-11553 - [c117]Zirui Zhao, Wee Sun Lee, David Hsu:
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning. NeurIPS 2023 - [i45]Zirui Zhao, Wee Sun Lee, David Hsu:
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning. CoRR abs/2305.14078 (2023) - [i44]Zhen Zhang, Mohammed Haroon Dupty, Fan Wu, Javen Qinfeng Shi, Wee Sun Lee:
Factor Graph Neural Networks. CoRR abs/2308.00887 (2023) - [i43]Sicong Leng, Yang Zhou, Mohammed Haroon Dupty, Wee Sun Lee, Sam Conrad Joyce, Wei Lu:
Tell2Design: A Dataset for Language-Guided Floor Plan Generation. CoRR abs/2311.15941 (2023) - 2022
- [c116]Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee:
PF-GNN: Differentiable particle filtering based approximation of universal graph representations. ICLR 2022 - [c115]Xiao Ma, David Hsu, Wee Sun Lee:
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects. ICRA 2022: 8266-8273 - [c114]Yang Zhou, Wee Sun Lee:
None Class Ranking Loss for Document-Level Relation Extraction. IJCAI 2022: 4538-4544 - [i42]Dixant Mittal, Siddharth Aravindan, Wee Sun Lee:
ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search. CoRR abs/2202.01461 (2022) - [i41]Wei Gao, David Hsu, Wee Sun Lee:
Context-Hierarchy Inverse Reinforcement Learning. CoRR abs/2202.12597 (2022) - [i40]Yong Liang Goh, Wee Sun Lee, Xavier Bresson, Thomas Laurent, Nicholas Lim:
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem. CoRR abs/2203.00903 (2022) - [i39]Mohammed Haroon Dupty, Wee Sun Lee:
Graph Representation Learning with Individualization and Refinement. CoRR abs/2203.09141 (2022) - [i38]Yang Zhou, Wee Sun Lee:
None Class Ranking Loss for Document-Level Relation Extraction. CoRR abs/2205.00476 (2022) - [i37]Zirui Zhao, Wee Sun Lee, David Hsu:
Differentiable Parsing and Visual Grounding of Verbal Instructions for Object Placement. CoRR abs/2210.00215 (2022) - [i36]Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu:
Efficient Offline Policy Optimization with a Learned Model. CoRR abs/2210.05980 (2022) - 2021
- [j25]Yujiao Hu, Zhen Zhang, Yuan Yao, Xingpeng Huyan, Xingshe Zhou, Wee Sun Lee:
A bidirectional graph neural network for traveling salesman problems on arbitrary symmetric graphs. Eng. Appl. Artif. Intell. 97: 104061 (2021) - [j24]Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee:
HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty. Int. J. Robotics Res. 40(2-3) (2021) - [c113]Siddharth Aravindan, Wee Sun Lee:
State-Aware Variational Thompson Sampling for Deep Q-Networks. AAMAS 2021: 124-132 - [c112]Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng:
Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. CIKM 2021: 2728-2737 - [c111]Xichu Ma, Ye Wang, Min-Yen Kan, Wee Sun Lee:
AI-Lyricist: Generating Music and Vocabulary Constrained Lyrics. ACM Multimedia 2021: 1002-1011 - [c110]Muhammad Rizki Maulana, Wee Sun Lee:
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning. ECML/PKDD (1) 2021: 122-138 - [i35]Siddharth Aravindan, Wee Sun Lee:
State-Aware Variational Thompson Sampling for Deep Q-Networks. CoRR abs/2102.03719 (2021) - [i34]Xiao Ma, David Hsu, Wee Sun Lee:
Learning Latent Graph Dynamics for Deformable Object Manipulation. CoRR abs/2104.12149 (2021) - [i33]Muhammad Rizki Maulana, Wee Sun Lee:
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning. CoRR abs/2107.01904 (2021) - 2020
- [j23]Yujiao Hu, Yuan Yao, Wee Sun Lee:
A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs. Knowl. Based Syst. 204: 106244 (2020) - [c109]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Recurrent Neural Networks. AAAI 2020: 5101-5108 - [c108]Mohammed Haroon Dupty, Zhen Zhang, Wee Sun Lee:
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition. AAAI 2020: 10737-10744 - [c107]Xuan Su, Wee Sun Lee, Zhen Zhang:
Multiplicative Gaussian Particle Filter. AISTATS 2020: 56-65 - [c106]Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee:
Contrastive Variational Reinforcement Learning for Complex Observations. CoRL 2020: 959-972 - [c105]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye:
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. ICLR 2020 - [c104]Zhen Zhang, Fan Wu, Wee Sun Lee:
Factor Graph Neural Networks. NeurIPS 2020 - [i32]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye:
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations. CoRR abs/2002.09884 (2020) - [i31]Xuan Su, Wee Sun Lee, Zhen Zhang:
Multiplicative Gaussian Particle Filter. CoRR abs/2003.00218 (2020) - [i30]Kuangqi Zhou, Yanfei Dong, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng:
Effective Training Strategies for Deep Graph Neural Networks. CoRR abs/2006.07107 (2020) - [i29]Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee:
Contrastive Variational Model-Based Reinforcement Learning for Complex Observations. CoRR abs/2008.02430 (2020) - [i28]Mohammed Haroon Dupty, Wee Sun Lee:
Neuralizing Efficient Higher-order Belief Propagation. CoRR abs/2010.09283 (2020) - [i27]Hieu Le Trung, Yiqing Xu, Wee Sun Lee:
Factor Graph Molecule Network for Structure Elucidation. CoRR abs/2012.05665 (2020)
2010 – 2019
- 2019
- [j22]Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee:
Importance sampling for online planning under uncertainty. Int. J. Robotics Res. 38(2-3) (2019) - [c103]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. ACL (1) 2019: 504-515 - [c102]Zhen Zhang, Wee Sun Lee:
Deep Graphical Feature Learning for the Feature Matching Problem. ICCV 2019: 5086-5095 - [c101]Neha P. Garg, David Hsu, Wee Sun Lee:
Learning To Grasp Under Uncertainty Using POMDPs. ICRA 2019: 2751-2757 - [c100]Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian optimization. ICRA 2019: 7242-7248 - [c99]Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee:
LeTS-Drive: Driving in a Crowd by Learning from Tree Search. Robotics: Science and Systems 2019 - [c98]Neha Priyadarshini Garg, David Hsu, Wee Sun Lee:
DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces. Robotics: Science and Systems 2019 - [c97]Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez:
Differentiable Algorithm Networks for Composable Robot Learning. Robotics: Science and Systems 2019 - [e2]Wee Sun Lee, Taiji Suzuki:
Proceedings of The 11th Asian Conference on Machine Learning, ACML 2019, 17-19 November 2019, Nagoya, Japan. Proceedings of Machine Learning Research 101, PMLR 2019 [contents] - [i26]Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian Optimization. CoRR abs/1904.11761 (2019) - [i25]Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez:
Differentiable Algorithm Networks for Composable Robot Learning. CoRR abs/1905.11602 (2019) - [i24]Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee:
LeTS-Drive: Driving in a Crowd by Learning from Tree Search. CoRR abs/1905.12197 (2019) - [i23]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Recurrent Neural Networks. CoRR abs/1905.12885 (2019) - [i22]Zhen Zhang, Fan Wu, Wee Sun Lee:
Factor Graph Neural Network. CoRR abs/1906.00554 (2019) - [i21]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. CoRR abs/1906.06906 (2019) - [i20]Mohammed Haroon Dupty, Zhen Zhang, Wee Sun Lee:
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition. CoRR abs/1911.09895 (2019) - 2018
- [j21]Wee Sun Lee, Robert J. Durrant:
Foreword: special issue for the journal track of the 9th Asian Conference on Machine Learning (ACML 2017). Mach. Learn. 107(4): 639-641 (2018) - [j20]Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha:
PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians. IEEE Robotics Autom. Lett. 3(4): 3418-3425 (2018) - [c96]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
Exploiting Document Knowledge for Aspect-level Sentiment Classification. ACL (2) 2018: 579-585 - [c95]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
Effective Attention Modeling for Aspect-Level Sentiment Classification. COLING 2018: 1121-1131 - [c94]Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Networks with Application to Visual Localization. CoRL 2018: 169-178 - [c93]Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee:
Convolutional Sequence to Sequence Model for Human Dynamics. CVPR 2018: 5226-5234 - [c92]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. EMNLP 2018: 3467-3476 - [c91]Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee:
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. Robotics: Science and Systems 2018 - [c90]Jue Kun Li, Wee Sun Lee, David Hsu:
Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties. Robotics: Science and Systems 2018 - [c89]Min Chen, David Hsu, Wee Sun Lee:
Guided Exploration of Human Intentions for Human-Robot Interaction. WAFR 2018: 921-938 - [i19]Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee:
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. CoRR abs/1802.06215 (2018) - [i18]Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee:
Convolutional Sequence to Sequence Model for Human Dynamics. CoRR abs/1805.00655 (2018) - [i17]Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations. CoRR abs/1805.08975 (2018) - [i16]Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha:
Autonomous Driving among Many Pedestrians: Models and Algorithms. CoRR abs/1805.11833 (2018) - [i15]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
Exploiting Document Knowledge for Aspect-level Sentiment Classification. CoRR abs/1806.04346 (2018) - [i14]Péter Karkus, David Hsu, Wee Sun Lee:
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation. CoRR abs/1807.06696 (2018) - [i13]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. CoRR abs/1809.00530 (2018) - [i12]Min Chen, David Hsu, Wee Sun Lee:
Guided Exploration of Human Intentions for Human-Robot Interaction. CoRR abs/1812.04728 (2018) - 2017
- [j19]Nan Ye, Adhiraj Somani, David Hsu, Wee Sun Lee:
DESPOT: Online POMDP Planning with Regularization. J. Artif. Intell. Res. 58: 231-266 (2017) - [c88]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
An Unsupervised Neural Attention Model for Aspect Extraction. ACL (1) 2017: 388-397 - [c87]Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian:
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. CoRL 2017: 185-194 - [c86]Andrew Wrigley, Wee Sun Lee, Nan Ye:
Tensor Belief Propagation. ICML 2017: 3771-3779 - [c85]Péter Karkus, David Hsu, Wee Sun Lee:
QMDP-Net: Deep Learning for Planning under Partial Observability. NIPS 2017: 4694-4704 - [c84]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Shortest Path under Uncertainty: Exploration versus Exploitation. UAI 2017 - [i11]Péter Karkus, David Hsu, Wee Sun Lee:
QMDP-Net: Deep Learning for Planning under Partial Observability. CoRR abs/1703.06692 (2017) - [i10]Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian:
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. CoRR abs/1710.05627 (2017) - 2016
- [j18]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Adaptive informative path planning in metric spaces. Int. J. Robotics Res. 35(5): 585-598 (2016) - [c83]Nguyen Viet Cuong, Nan Ye, Wee Sun Lee:
Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification. AAAI 2016: 1512-1518 - [c82]Min Chen, Emilio Frazzoli, David Hsu, Wee Sun Lee:
POMDP-lite for robust robot planning under uncertainty. ICRA 2016: 5427-5433 - [c81]Jue Kun Li, David Hsu, Wee Sun Lee:
Act to See and See to Act: POMDP planning for objects search in clutter. IROS 2016: 5701-5707 - [c80]Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee:
Importance Sampling for Online Planning under Uncertainty. WAFR 2016: 240-255 - [i9]Min Chen, Emilio Frazzoli, David Hsu, Wee Sun Lee:
POMDP-lite for Robust Robot Planning under Uncertainty. CoRR abs/1602.04875 (2016) - [i8]Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Learning Dynamic Robot-to-Human Object Handover from Human Feedback. CoRR abs/1603.06390 (2016) - [i7]Nguyen Viet Cuong, Nan Ye, Wee Sun Lee:
Robustness of Bayesian Pool-based Active Learning Against Prior Misspecification. CoRR abs/1603.09050 (2016) - [i6]Nan Ye, Adhiraj Somani, David Hsu, Wee Sun Lee:
DESPOT: Online POMDP Planning with Regularization. CoRR abs/1609.03250 (2016) - [i5]Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian Optimization. CoRR abs/1612.01746 (2016) - 2015
- [c79]Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai:
PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. ICAPS 2015: 249-258 - [c78]Haoyu Bai, Shaojun Cai, Nan Ye, David Hsu, Wee Sun Lee:
Intention-aware online POMDP planning for autonomous driving in a crowd. ICRA 2015: 454-460 - [c77]Kegui Wu, Wee Sun Lee, David Hsu:
POMDP to the Rescue: Boosting Performance for Robocup Rescue. IROS 2015: 5294-5299 - [c76]Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Learning Dynamic Robot-to-Human Object Handover from Human Feedback. ISRR (1) 2015: 161-176 - [c75]Nguyen Viet Cuong, Muthu Kumar Chandrasekaran, Min-Yen Kan, Wee Sun Lee:
Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs. JCDL 2015: 61-64 - [c74]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Adaptive Stochastic Optimization: From Sets to Paths. NIPS 2015: 1585-1593 - [c73]Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai:
PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. SOCS 2015: 238-239 - 2014
- [j17]Haoyu Bai, David Hsu, Wee Sun Lee:
Integrated perception and planning in the continuous space: A POMDP approach. Int. J. Robotics Res. 33(9): 1288-1302 (2014) - [j16]Viet Cuong Nguyen, Nan Ye, Wee Sun Lee, Hai Leong Chieu:
Conditional random field with high-order dependencies for sequence labeling and segmentation. J. Mach. Learn. Res. 15(1): 981-1009 (2014) - [c72]Truong-Huy Dinh Nguyen, Tomi Silander, Wee Sun Lee, Tze-Yun Leong:
Bootstrapping Simulation-Based Algorithms with a Suboptimal Policy. ICAPS 2014 - [c71]Zongzhang Zhang, David Hsu, Wee Sun Lee:
Covering Number for Efficient Heuristic-based POMDP Planning. ICML 2014: 28-36 - [c70]Nguyen Viet Cuong, Wee Sun Lee, Nan Ye:
Near-optimal Adaptive Pool-based Active Learning with General Loss. UAI 2014: 122-131 - [c69]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Adaptive Informative Path Planning in Metric Spaces. WAFR 2014: 283-300 - [i4]Hai Leong Chieu, Wee Sun Lee:
Relaxed Survey Propagation for The Weighted Maximum Satisfiability Problem. CoRR abs/1401.3483 (2014) - 2013
- [j15]Zhi-Hua Zhou, Wee Sun Lee, Steven C. H. Hoi, Wray L. Buntine, Hiroshi Motoda:
Introduction: special issue of selected papers of ACML 2012. Mach. Learn. 92(2-3): 221-223 (2013) - [c68]Haoyu Bai, David Hsu, Wee Sun Lee:
Planning how to learn. ICRA 2013: 2853-2859 - [c67]Viet Cuong Nguyen, Wee Sun Lee, Nan Ye, Kian Ming Adam Chai, Hai Leong Chieu:
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion. NIPS 2013: 1457-1465 - [c66]Adhiraj Somani, Nan Ye, David Hsu, Wee Sun Lee:
DESPOT: Online POMDP Planning with Regularization. NIPS 2013: 1772-1780 - [c65]Xinhua Zhang, Wee Sun Lee, Yee Whye Teh:
Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space. NIPS 2013: 2031-2039 - [c64]Haoyu Bai, David Hsu, Wee Sun Lee:
Integrated Perception and Planning in the Continuous Space: A POMDP Approach. Robotics: Science and Systems 2013 - 2012
- [c63]Nan Ye, Kian Ming Adam Chai, Wee Sun Lee, Hai Leong Chieu:
Optimizing F-measure: A Tale of Two Approaches. ICML 2012 - [c62]Yi Wang, Kok Sung Won, David Hsu, Wee Sun Lee:
Monte Carlo Bayesian Reinforcement Learning. ICML 2012 - [c61]Truong-Huy Dinh Nguyen, Wee Sun Lee, Tze-Yun Leong:
Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic. ECML/PKDD (2) 2012: 164-179 - [c60]Tirthankar Bandyopadhyay, Kok Sung Won, Emilio Frazzoli, David Hsu, Wee Sun Lee, Daniela Rus:
Intention-Aware Motion Planning. WAFR 2012: 475-491 - [i3]Nan Ye, Kian Ming Adam Chai, Wee Sun Lee, Hai Leong Chieu:
Optimizing F-measure: A Tale of Two Approaches. CoRR abs/1206.4625 (2012) - [i2]Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant:
CAPIR: Collaborative Action Planning with Intention Recognition. CoRR abs/1206.5928 (2012) - [i1]Truong-Huy Dinh Nguyen, Wee Sun Lee, Tze-Yun Leong:
Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic. CoRR abs/1206.5940 (2012) - 2011
- [j14]Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Lee:
Motion planning under uncertainty for robotic tasks with long time horizons. Int. J. Robotics Res. 30(3): 308-323 (2011) - [c59]Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant:
CAPIR: Collaborative Action Planning with Intention Recognition. AIIDE 2011 - [c58]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Monte Carlo Value Iteration with Macro-Actions. NIPS 2011: 1287-1295 - [c57]Haoyu Bai, David Hsu, Mykel J. Kochenderfer, Wee Sun Lee:
Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs. Robotics: Science and Systems 2011 - [c56]Chun-Nan Hsu, Wee Sun Lee:
Preface. ACML 2011 - [e1]Chun-Nan Hsu, Wee Sun Lee:
Proceedings of the 3rd Asian Conference on Machine Learning, ACML 2011, Taoyuan, Taiwan, November 13-15, 2011. JMLR Proceedings 20, JMLR.org 2011 [contents] - 2010
- [j13]Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun Lee:
Planning under Uncertainty for Robotic Tasks with Mixed Observability. Int. J. Robotics Res. 29(8): 1053-1068 (2010) - [c55]Li Ling Ko, David Hsu, Wee Sun Lee, Sylvie C. W. Ong:
Structured Parameter Elicitation. AAAI 2010: 1102-1107 - [c54]Haoyu Bai, David Hsu, Wee Sun Lee, Ngo Anh Vien:
Monte Carlo Value Iteration for Continuous-State POMDPs. WAFR 2010: 175-191
2000 – 2009
- 2009
- [j12]Hai Leong Chieu, Wee Sun Lee:
Relaxed Survey Propagation for The Weighted Maximum Satisfiability Problem. J. Artif. Intell. Res. 36: 229-266 (2009) - [j11]Dell Zhang, Wee Sun Lee:
Query-By-Multiple-Examples using Support Vector Machines. J. Digit. Inf. Manag. 7(4): 202-210 (2009) - [c53]Wei Lu, Hwee Tou Ng, Wee Sun Lee:
Natural Language Generation with Tree Conditional Random Fields. EMNLP 2009: 400-409 - [c52]Dan Wu, Wee Sun Lee, Nan Ye, Hai Leong Chieu:
Domain adaptive bootstrapping for named entity recognition. EMNLP 2009: 1523-1532 - [c51]Sylvie C. W. Ong, David Hsu, Wee Sun Lee, Hanna Kurniawati:
Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction. HCI (7) 2009: 577-586 - [c50]Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Lee:
Motion Planning under Uncertainty for Robotic Tasks with Long Time Horizons. ISRR 2009: 151-168 - [c49]Nan Ye, Wee Sun Lee, Hai Leong Chieu, Dan Wu:
Conditional Random Fields with High-Order Features for Sequence Labeling. NIPS 2009: 2196-2204 - [c48]Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun Lee:
POMDPs for robotic tasks with mixed observability. Robotics: Science and Systems 2009 - 2008
- [j10]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
Correction to "The Importance of Convexity in Learning With Squared Loss". IEEE Trans. Inf. Theory 54(9): 4395 (2008) - [c47]Hai Leong Chieu, Wee Sun Lee:
Relaxed Survey Propagation: A Sum-Product Algorithm for Max-SAT. AAAI 2008: 247-252 - [c46]Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemoyer:
A Generative Model for Parsing Natural Language to Meaning Representations. EMNLP 2008: 783-792 - [c45]Dell Zhang, Wee Sun Lee:
Learning classifiers without negative examples: A reduction approach. ICDIM 2008: 638-643 - [c44]David Hsu, Wee Sun Lee, Nan Rong:
A point-based POMDP planner for target tracking. ICRA 2008: 2644-2650 - [c43]Hanna Kurniawati, David Hsu, Wee Sun Lee:
SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces. Robotics: Science and Systems 2008 - [c42]Dell Zhang, Wee Sun Lee:
Learning with support vector machines for query-by-multiple-examples. SIGIR 2008: 835-836 - 2007
- [c41]Junfu Cai, Wee Sun Lee, Yee Whye Teh:
Improving Word Sense Disambiguation Using Topic Features. EMNLP-CoNLL 2007: 1015-1023 - [c40]Upali Sathyajith Kohomban, Wee Sun Lee:
Optimizing Classifier Performance in Word Sense Disambiguation by Redefining Sense Classes. IJCAI 2007: 1635-1640 - [c39]Hai Leong Chieu, Wee Sun Lee, Yee Whye Teh:
Cooled and Relaxed Survey Propagation for MRFs. NIPS 2007: 297-304 - [c38]David Hsu, Wee Sun Lee, Nan Rong:
What makes some POMDP problems easy to approximate? NIPS 2007: 689-696 - [c37]Junfu Cai, Wee Sun Lee, Yee Whye Teh:
NUS-ML: Improving Word Sense Disambiguation Using Topic Features. SemEval@ACL 2007: 249-252 - 2006
- [c36]Yew Jin Lim, Wee Sun Lee:
Properties of Forward Pruning in Game-Tree Search. AAAI 2006: 1020-1025 - [c35]Yew Jin Lim, Wee Sun Lee:
RankCut - A Domain Independent Forward Pruning Method for Games. AAAI 2006: 1026-1031 - [c34]Dell Zhang, Wee Sun Lee:
Learning to Separate Text Content and Style for Classification. AIRS 2006: 79-91 - [c33]Dell Zhang, Wee Sun Lee:
Extracting key-substring-group features for text classification. KDD 2006: 474-483 - [c32]Xinhua Zhang, Wee Sun Lee:
Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms. NIPS 2006: 1585-1592 - 2005
- [c31]Thanh Phong Pham, Hwee Tou Ng, Wee Sun Lee:
Word Sense Disambiguation with Semi-Supervised Learning. AAAI 2005: 1093-1098 - [c30]Upali Sathyajith Kohomban, Wee Sun Lee:
Learning Semantic Classes for Word Sense Disambiguation. ACL 2005: 34-41 - [c29]Dell Zhang, Xi Chen, Wee Sun Lee:
Text classification with kernels on the multinomial manifold. SIGIR 2005: 266-273 - [c28]Xinyi Yin, Wee Sun Lee:
Understanding the function of web elements for mobile content delivery using random walk models. WWW (Special interest tracks and posters) 2005: 1150-1151 - 2004
- [j9]Dell Zhang, Wee Sun Lee:
Learning to integrate web taxonomies. J. Web Semant. 2(2): 131-151 (2004) - [c27]Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu:
Text Classification by Labeling Words. AAAI 2004: 425-430 - [c26]Xinyi Yin, Wee Sun Lee:
Towards Understanding the Functions of Web Element. AIRS 2004: 313-324 - [c25]Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu:
Semi-supervised Text Classification Using Partitioned EM. DASFAA 2004: 482-493 - [c24]Dell Zhang, Wee Sun Lee:
Web taxonomy integration through co-bootstrapping. SIGIR 2004: 410-417 - [c23]Dell Zhang, Wee Sun Lee:
Experience of Using SVM for the Triage Task in TREC 2004 Genomics Track. TREC 2004 - [c22]Xinyi Yin, Wee Sun Lee, Zhenqiang Tan:
Personalization of web content for wireless mobile device. WCNC 2004: 2569-2574 - [c21]Xinyi Yin, Wee Sun Lee:
Using link analysis to improve layout on mobile devices. WWW 2004: 338-344 - [c20]Dell Zhang, Wee Sun Lee:
Web taxonomy integration using support vector machines. WWW 2004: 472-481 - 2003
- [j8]Sanjoy Dasgupta, Wee Sun Lee, Philip M. Long:
A Theoretical Analysis of Query Selection for Collaborative Filtering. Mach. Learn. 51(3): 283-298 (2003) - [c19]Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip S. Yu:
Building Text Classifiers Using Positive and Unlabeled Examples. ICDM 2003: 179-188 - [c18]Wee Sun Lee, Bing Liu:
Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression. ICML 2003: 448-455 - [c17]Dell Zhang, Wee Sun Lee:
Question classification using support vector machines. SIGIR 2003: 26-32 - [c16]Dell Zhang, Wee Sun Lee:
A Language Modeling Approach to Passage Question Answering. TREC 2003: 489-495 - 2002
- [c15]Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li:
Partially Supervised Classification of Text Documents. ICML 2002: 387-394 - [c14]Dell Zhang, Wee Sun Lee:
Web Based Pattern Mining and Matching Approach to Question Answering. TREC 2002 - 2001
- [c13]Wee Sun Lee, Philip M. Long:
A Theoretical Analysis of Query Selection for Collaborative Filtering. COLT/EuroCOLT 2001: 517-528 - [c12]Wee Sun Lee:
Collaborative Learning and Recommender Systems. ICML 2001: 314-321 - 2000
- [j7]Wee Sun Lee, Mark R. Pickering, Michael R. Frater, John F. Arnold:
A robust codec for transmission of very low bit-rate video over channels with bursty errors. IEEE Trans. Circuits Syst. Video Technol. 10(8): 1403-1412 (2000) - [j6]Wee Sun Lee:
Tiling and adaptive image compression. IEEE Trans. Inf. Theory 46(5): 1789-1799 (2000) - [c11]Wee Sun Lee:
Trees, Windows, and Tiles for Wavelet Image Compression. Data Compression Conference 2000: 283-292
1990 – 1999
- 1999
- [c10]Wee Sun Lee:
Edge Adaptive Prediction for Lossless Image Coding. Data Compression Conference 1999: 483-490 - 1998
- [j5]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
The Importance of Convexity in Learning with Squared Loss. IEEE Trans. Inf. Theory 44(5): 1974-1980 (1998) - [c9]Wee Sun Lee, Michael R. Frater, Mark R. Pickering, John F. Arnold:
Spatial Temporal Concealment of Lost Blocks in Coded Video. ICIP (3) 1998: 477-481 - [c8]Wee Sun Lee, Michael R. Frater, Mark R. Pickering, John F. Arnold:
Error Concealment for Arbitrarily Shaped Video Objects. ICIP (3) 1998: 507-511 - 1997
- [j4]Wee Sun Lee, Mark R. Pickering, Michael R. Frater, John F. Arnold:
Error Resilience in Video and Multiplexing Layers for Very Low Bit-Rate Video Coding Systems. IEEE J. Sel. Areas Commun. 15(9): 1764-1774 (1997) - [j3]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
Correction to 'Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes'. Neural Comput. 9(4): 765-769 (1997) - [c7]Wee Sun Lee, Michael R. Frater, Mark R. Pickering, John F. Arnold:
Robustness of multiplexing protocols for audio-visual services over wireless networks. ICIP (3) 1997: 563-566 - [c6]Wee Sun Lee, Michael R. Frater, Mark R. Pickering, John F. Arnold:
A diversity-based scheme for reducing error propagation in video. ICIP (3) 1997: 582-585 - [c5]Robert E. Schapire, Yoav Freund, Peter Barlett, Wee Sun Lee:
Boosting the margin: A new explanation for the effectiveness of voting methods. ICML 1997: 322-330 - [c4]Mostefa Golea, Peter L. Bartlett, Wee Sun Lee, Llew Mason:
Generalization in Decision Trees and DNF: Does Size Matter? NIPS 1997: 259-265 - 1996
- [j2]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
Efficient agnostic learning of neural networks with bounded fan-in. IEEE Trans. Inf. Theory 42(6): 2118-2132 (1996) - [c3]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
The Importance of Convexity in Learning with Squared Loss. COLT 1996: 140-146 - 1995
- [j1]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
Lower Bounds on the VC Dimension of Smoothly Parameterized Function Classes. Neural Comput. 7(5): 1040-1053 (1995) - [c2]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
On Efficient Agnostic Learning of Linear Combinations of Basis Functions. COLT 1995: 369-376 - 1994
- [c1]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes. COLT 1994: 362-367
Coauthor Index
[c125] [i50] [c118] [c117] [i45] [c115] [i41] [i37] [j24] [i34] [c109] [c106] [c105] [i32] [i29] [j22] [c101] [c100] [c99] [c98] [c97] [i26] [i25] [i24] [i23] [j20] [c94] [c91] [c90] [c89] [i19] [i17] [i16] [i14] [i12] [j19] [c87] [c85] [c84] [i11] [i10] [j18] [c82] [c81] [c80] [i9] [i8] [i6] [i5] [c79] [c78] [c77] [c76] [c74] [c73] [j17] [c71] [c69] [c68] [c66] [c64] [c62] [c60] [i2] [j14] [c59] [c58] [c57] [j13] [c55] [c54] [c51] [c50] [c48] [c44] [c43] [c38]
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