Publications

• Yi Wang, Kok Sung Won, David Hsu, Wee Sun Lee.
  Monte Carlo Bayesian Reinforcement Learning.
  Paper pdf, Supplementary Material pdf, Solver
  In ICML, 2012. 
• Nan Ye, Kian Ming A. Chai, Wee Sun Lee, and Hai Leong Chieu.
  Optimizing F-Measures: A Tale of Two Approaches
  Paper pdf, Supplementary Material pdf, Code
  In ICML, 2012. 
• Zhan Wei Lim, David Hsu, and Wee Sun Lee.
  Monte Carlo Value Iteration with Macro-Actions.
  Paper pdf, Supplementary Material pdf, Solver
  In NIPS, 2011. 
• Viet Cuong Nguyen, Nan Ye, Wee Sun Lee, Hai Leong Chieu.
  Semi-Markov Conditional Random Field with High-Order Features
  Paper pdf Code
  ICML Workshop on Structured Sparsity: Learning and Inference, 2011
• Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze Yun Leong, Leslie Kaelbling, Tomas Lozano-Perez and Andrew Grant
  CAPIR: Collaborative action planning with intention recognition.
  pdf
  In AIIDE, 2011. 
• Haoyu Bai, David Hsu, Mykel J.Kochenderfer and Wee Sun Lee.
  Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs.
  pdf, POMDP Solver
  In Proc. Robotics: Science and Systems, 2011. 
• Haoyu Bai, David Hsu, Wee Sun Lee, and Anh Vien Ngo.
  Monte Carlo Value Iteration for Continuous State POMDPs.
  pdf, POMDP Solver
  In WAFR, 2010. 
• Li Ling Ko, Sylvie Ong, David Hsu, and Wee Sun Lee.
  Structured Parameter Elicitation.
  pdf
  In AAAI, 2010. 
• Hanna Kurniawati, Yanzhu Du, David Hsu, and Wee Sun Lee.
  Motion Planning under Uncertainty for Robotic Tasks with Long Time Horizons.
  pdf
  In Int. J. Robotics Research, 2010. 
• Sylvie Ong, Shao Wei Png, David Hsu, and Wee Sun Lee.
  Planning under Uncertainty for Robotic Tasks with Mixed Observability.
  pdf, POMDP Solver
  In Int. J. Robotics Research, 2010. 
• Nan Ye,Wee Sun Lee, Hai Leong Chieu and Dan Wu.
  Conditional Random Fields with High Order Features for Sequence Labeling
  Paper pdf, Supplementary Material pdf Code
  NIPS 2009
• Wei Lu, Hwee Tou Ng, and Wee Sun Lee
  Natural Language Generation with Tree Conditional Random Fields.
  pdf
  In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP 2009) .
• Wei Lu, Hwee Tou Ng, Wee Sun Lee and Luke S. Zettlemoyer
  A Generative Model for Parsing Natural Language to Meaning Representations.
  pdf
  In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP 2008) .
• Hai Leong Chieu and Wee Sun Lee
  Relaxed Survey Propagation: A Sum-Product Algorithm for Max-SAT.
  pdf
  In Proceedings of the 23rd AAAI Conference on Artificial Intelligence, 2008
• Hanna Kurniawati, David Hsu, and Wee Sun Lee.
  SARSOP: Efficient point-based POMDP planning by approximating optimally reachable belief spaces.
  pdf, POMDP Solver
  In Proc. Robotics: Science and Systems, 2008. 
• David Hsu, Wee Sun Lee, and Nan Rong.
  A point-based POMDP planner for target tracking.
  pdf
  In Proc. IEEE Int. Conf. on Robotics & Automation, pp. 2644–2650, 2008.
• David Hsu, Wee Sun Lee and Nan Rong.
  What Makes Some POMDP Problems Easy to Approximate?
  Paper (long version with appendix) pdf
  NIPS 2007
• Hai Leong Chieu, Wee Sun Lee and Yee Whye Teh.
  Cooled and Relaxed Survey Propagation for MRFs
  Paper pdf, Appendix pdf
  NIPS 2007
• Junfu Cai, Wee Sun Lee and Yee Whye Teh.
  Improving Word Sense Disambiguation Using Topic Features.
  EMNLP 2007 version pdf , Semeval 2007 version pdf
  EMNLP 2007, SemEval 2007
• Xinhua Zhang and Wee Sun Lee.
  Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms
  pdf
  NIPS 2006
• Dell Zhang and Wee Sun Lee.
  Extracting Key-Substring-Group Features for Text Classification
  pdf Code
  KDD 2006
• Dell Zhang and Wee Sun Lee.
  Learning to Separate Text Content and Style for Classification
  pdf
  AIRS 2006
• Yew Jin Lim and Wee Sun Lee.
  Properties of Forward Pruning in Game-Tree Search
  pdf
  AAAI 2006
• Yew Jin Lim and Wee Sun Lee.
  RankCut -- A Domain Independent Forward Pruning Method for Games
  pdf
  AAAI 2006
• Wee Sun Lee, Xinhua Zhang and Yee Whye Teh.
  Semi-supervised Learning in Reproducing Kernel Hilbert Spaces Using Local Invariances
  pdf
  NUS School of Computing Technical Report TRB3/06
• Hai Leong Chieu, Wee Sun Lee and Leslie Kaelbling.
  Activity Recognition from Physiological Data Using Conditional Random Fields
  pdf
  SMA Symposium 2006
• Thanh Phong Pham, Hwee Tou Ng and Wee Sun Lee.
  Word Sense Disambiguation with Semi-Supervised Learning
  pdf
  AAAI 2005
• Upali S. Kohomban and Wee Sun Lee.
  Learning Semantic Classes for Word Sense Disambiguation
  pdf
  ACL 2005
• Dell Zhang, Xi Chen and Wee Sun Lee.
  Text Classification with Kernels on the Multinomial Manifold
  pdf Code
  SIGIR 2005
• Xinyi Yin and Wee Sun Lee.
  Understanding the Function of Web Elements Using Random Walk Models
  pdf
  WWW 2005
• Xinyi Yin and Wee Sun Lee.
  Optimization of Web Page for Mobile Devices
  pdf
  WWW 2004
• Dell Zhang and Wee Sun Lee.
  Learning to Integrate Web Taxonomies
  pdf
  Journal of Web Semantics, 2(2), 2004.
• Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, and Philip S. Yu.
  Building Text Classifiers Using Positive and Unlabeled Examples
  pdf
  International Conference on Data Mining 2003
• Wee Sun Lee and Bing Liu.
  Learning from Positive and Unlabeled Examples Using Weighted Logistic Regression
  postscript pdf talk (ppt)
  International Conference on Machine Learning 2003
• Dell Zhang and Wee Sun Lee.
  Question Classification using Support Vector Machines
  postscript pdf
  SIGIR 2003
• Bing Liu, Wee Sun Lee, Philip S. Yu and Xiaoli Li.
  Partially Supervised Classification of Text Documents
  postscript version with proofs program
  International Conference on Machine Learning 2002
• Sanjoy Dasgupta, Wee Sun Lee and Phil Long.
  A Theoretical Analysis of Query Selection for Collaborative Filtering
  pdf postscript
  Machine Learning 51(3):283-298 Jun 2003
• Wee Sun Lee.
  Collaborative Learning for Recommender Systems
  pdf postscript
  International Conference on Machine Learning 2001
• Wee Sun Lee.
  Tiling and Adaptive Image Compression
  pdf postscript
  IEEE Transactions on Information Theory, 46(5):1789-1799, 2000
• Wee Sun Lee.
  Trees, Windows and Tiles for Wavelet Image Compression
  Data Compression Conference 2000 pdf postscript
  (Supersedes Windowing versus Best Tiling for Wavelet Image Compression)
• Wee Sun Lee.
  Edge Adaptive Prediction for Lossless Image Coding
  Data Compression Conference 1999
  postscript pdf
• Wee Sun Lee, Mark R. Pickering, Michael R. Frater, John F. Arnold,
  Spatial Temporal Concealment of Lost Blocks in Coded Video
  International Conference on Image Processing 1998
  (Long version, postscript)
• Mostefa Golea, Peter L. Bartlett, Wee Sun Lee and Llew Mason
  Generalization in decision trees and DNF: Does size matter?
  Neural Information Processing Systems 1997
  postscript
• Robert E. Schapire, Yoav Freund, Peter L. Bartlett and Wee Sun Lee.
  Boosting the margin: A new explanation for the effectiveness of voting methods.
  The Annals of Statistics, 26(5):1651-1686, 1998. postscript
• Wee Sun Lee, Mark R. Pickering, Michael R. Frater, John F. Arnold.
  Robustness of Multiplexing Protocols for Audio-Visual Services over Wireless Networks.
  International Conference on Image Processing, 1997
  postscript.
• Wee Sun Lee, Mark R. Pickering, Michael R. Frater, John F. Arnold.
  Error Resillience in Video and Multiplexing Layers for Very Low Bit-rate Video Coding Systems.
  IEEE Journal on Selected Areas in Comunications, Vol 15, No 9, 1997, p. 1764-1774
  postscript.
• 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. on Circuits and Systems for Video Technology, Vol 10, No 8, Dec 2000, p. 1403-1412 postscript
• Wee Sun Lee, Peter L. Bartlett and Robert C. Williamson.
  The Importance of Convexity in Learning with Squared Loss.
  IEEE Transactions on Information Theory, Vol 44, No 5, 1998, p. 1974-1980.
  postscript. (Correction postscript)
• Wee Sun Lee, Peter L. Bartlett and Robert C. Williamson.
  Efficient Agnostic Learning of Neural Networks with Bounded Fan-in.
  IEEE Transactions on Information Theory , Vol 42 , No 6, Nov 1996, p. 2118-2132.
  postscript
• Wee Sun Lee, Peter L. Bartlett and Robert C. Williamson.
  Lower Bounds on the VC Dimension of Smoothly Parametrized Function Classes.
  Neural Computation, Vol 7, No 5, Sept 1995, p. 1040-1053.
  postscript
  See also
  Correction to "Lower Bounds on VC Dimension of Smoothly Parametrized Function Classes".
  Neural Computation, Vol 9, Number 4, May 1997, p765-770
  postscript
• Wee Sun Lee
  Agnostic Learning and Single Hidden Layer Neural Networks
  PhD Thesis, Australian National University 1996.
  postscript.

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