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2020 – today
- 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: 238-240 - 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 - [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]