Wee Sun Lee

Orcid: 0000-0002-0988-2500

According to our database1, Wee Sun Lee authored at least 156 papers between 1994 and 2024.

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Bibliography

2024
Locality Sensitive Sparse Encoding for Learning World Models Online.
CoRR, 2024

Differentiable Tree Search in Latent State Space.
CoRR, 2024

2023
Factor Graph Neural Networks.
J. Mach. Learn. Res., 2023

Large Language Models as Commonsense Knowledge for Large-Scale Task Planning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Efficient Offline Policy Optimization with a Learned Model.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Tell2Design: A Dataset for Language-Guided Floor Plan Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Differentiable Parsing and Visual Grounding of Verbal Instructions for Object Placement.
CoRR, 2022

Graph Representation Learning with Individualization and Refinement.
CoRR, 2022

Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem.
CoRR, 2022

Context-Hierarchy Inverse Reinforcement Learning.
CoRR, 2022

None Class Ranking Loss for Document-Level Relation Extraction.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

PF-GNN: Differentiable particle filtering based approximation of universal graph representations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty.
Int. J. Robotics Res., 2021

A bidirectional graph neural network for traveling salesman problems on arbitrary symmetric graphs.
Eng. Appl. Artif. Intell., 2021

Learning Latent Graph Dynamics for Deformable Object Manipulation.
CoRR, 2021

Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

AI-Lyricist: Generating Music and Vocabulary Constrained Lyrics.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

State-Aware Variational Thompson Sampling for Deep Q-Networks.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs.
Knowl. Based Syst., 2020

Factor Graph Molecule Network for Structure Elucidation.
CoRR, 2020

Neuralizing Efficient Higher-order Belief Propagation.
CoRR, 2020

Contrastive Variational Model-Based Reinforcement Learning for Complex Observations.
CoRR, 2020

Effective Training Strategies for Deep Graph Neural Networks.
CoRR, 2020

Factor Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discriminative Particle Filter Reinforcement Learning for Complex Partial observations.
Proceedings of the 8th International Conference on Learning Representations, 2020

Contrastive Variational Reinforcement Learning for Complex Observations.
Proceedings of the 4th Conference on Robot Learning, 2020

Multiplicative Gaussian Particle Filter.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Particle Filter Recurrent Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Importance sampling for online planning under uncertainty.
Int. J. Robotics Res., 2019

Factor Graph Neural Network.
CoRR, 2019

Differentiable Algorithm Networks for Composable Robot Learning.
Proceedings of the Robotics: Science and Systems XV, 2019

DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces.
Proceedings of the Robotics: Science and Systems XV, 2019

LeTS-Drive: Driving in a Crowd by Learning from Tree Search.
Proceedings of the Robotics: Science and Systems XV, 2019

Factored Contextual Policy Search with Bayesian optimization.
Proceedings of the International Conference on Robotics and Automation, 2019

Learning To Grasp Under Uncertainty Using POMDPs.
Proceedings of the International Conference on Robotics and Automation, 2019

Deep Graphical Feature Learning for the Feature Matching Problem.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians.
IEEE Robotics Autom. Lett., 2018

Foreword: special issue for the journal track of the 9th Asian Conference on Machine Learning (ACML 2017).
Mach. Learn., 2018

Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation.
CoRR, 2018

Autonomous Driving among Many Pedestrians: Models and Algorithms.
CoRR, 2018

Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations.
CoRR, 2018

Guided Exploration of Human Intentions for Human-Robot Interaction.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties.
Proceedings of the Robotics: Science and Systems XIV, 2018

Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Convolutional Sequence to Sequence Model for Human Dynamics.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Particle Filter Networks with Application to Visual Localization.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Effective Attention Modeling for Aspect-Level Sentiment Classification.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Exploiting Document Knowledge for Aspect-level Sentiment Classification.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
DESPOT: Online POMDP Planning with Regularization.
J. Artif. Intell. Res., 2017

Shortest Path under Uncertainty: Exploration versus Exploitation.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

QMDP-Net: Deep Learning for Planning under Partial Observability.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Tensor Belief Propagation.
Proceedings of the 34th International Conference on Machine Learning, 2017

Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

An Unsupervised Neural Attention Model for Aspect Extraction.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Adaptive informative path planning in metric spaces.
Int. J. Robotics Res., 2016

Factored Contextual Policy Search with Bayesian Optimization.
CoRR, 2016

Act to See and See to Act: POMDP planning for objects search in clutter.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

POMDP-lite for robust robot planning under uncertainty.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Adaptive Stochastic Optimization: From Sets to Paths.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs.
Proceedings of the 15th ACM/IEEE-CE Joint Conference on Digital Libraries, 2015

Learning Dynamic Robot-to-Human Object Handover from Human Feedback.
Proceedings of the Robotics Research, 2015

POMDP to the Rescue: Boosting Performance for Robocup Rescue.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Intention-aware online POMDP planning for autonomous driving in a crowd.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces.
Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

2014
Conditional random field with high-order dependencies for sequence labeling and segmentation.
J. Mach. Learn. Res., 2014

Integrated perception and planning in the continuous space: A POMDP approach.
Int. J. Robotics Res., 2014

Near-optimal Adaptive Pool-based Active Learning with General Loss.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Covering Number for Efficient Heuristic-based POMDP Planning.
Proceedings of the 31th International Conference on Machine Learning, 2014

Bootstrapping Simulation-Based Algorithms with a Suboptimal Policy.
Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

2013
Introduction: special issue of selected papers of ACML 2012.
Mach. Learn., 2013

Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Planning how to learn.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012
Intention-Aware Motion Planning.
Proceedings of the Algorithmic Foundations of Robotics X, 2012

Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Monte Carlo Bayesian Reinforcement Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

Optimizing F-measure: A Tale of Two Approaches.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Preface.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Motion planning under uncertainty for robotic tasks with long time horizons.
Int. J. Robotics Res., 2011

Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs.
Proceedings of the Robotics: Science and Systems VII, 2011

Monte Carlo Value Iteration with Macro-Actions.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

CAPIR: Collaborative Action Planning with Intention Recognition.
Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2011

2010
Planning under Uncertainty for Robotic Tasks with Mixed Observability.
Int. J. Robotics Res., 2010

Monte Carlo Value Iteration for Continuous-State POMDPs.
Proceedings of the Algorithmic Foundations of Robotics IX, 2010

Structured Parameter Elicitation.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Query-By-Multiple-Examples using Support Vector Machines.
J. Digit. Inf. Manag., 2009

Relaxed Survey Propagation for The Weighted Maximum Satisfiability Problem.
J. Artif. Intell. Res., 2009

POMDPs for robotic tasks with mixed observability.
Proceedings of the Robotics: Science and Systems V, University of Washington, Seattle, USA, June 28, 2009

Conditional Random Fields with High-Order Features for Sequence Labeling.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction.
Proceedings of the Universal Access in Human-Computer Interaction. Applications and Services, 2009

Domain adaptive bootstrapping for named entity recognition.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Natural Language Generation with Tree Conditional Random Fields.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2008
Correction to "The Importance of Convexity in Learning With Squared Loss".
IEEE Trans. Inf. Theory, 2008

Learning with support vector machines for query-by-multiple-examples.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces.
Proceedings of the Robotics: Science and Systems IV, 2008

A point-based POMDP planner for target tracking.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Learning classifiers without negative examples: A reduction approach.
Proceedings of the Third IEEE International Conference on Digital Information Management (ICDIM), 2008

A Generative Model for Parsing Natural Language to Meaning Representations.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Relaxed Survey Propagation: A Sum-Product Algorithm for Max-SAT.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
NUS-ML: Improving Word Sense Disambiguation Using Topic Features.
Proceedings of the 4th International Workshop on Semantic Evaluations, 2007

What makes some POMDP problems easy to approximate?
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Cooled and Relaxed Survey Propagation for MRFs.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Optimizing Classifier Performance in Word Sense Disambiguation by Redefining Sense Classes.
Proceedings of the IJCAI 2007, 2007

Improving Word Sense Disambiguation Using Topic Features.
Proceedings of the EMNLP-CoNLL 2007, 2007

2006
Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Extracting key-substring-group features for text classification.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Learning to Separate Text Content and Style for Classification.
Proceedings of the Information Retrieval Technology, 2006

RankCut - A Domain Independent Forward Pruning Method for Games.
Proceedings of the Proceedings, 2006

Properties of Forward Pruning in Game-Tree Search.
Proceedings of the Proceedings, 2006

2005
Understanding the function of web elements for mobile content delivery using random walk models.
Proceedings of the 14th international conference on World Wide Web, 2005

Text classification with kernels on the multinomial manifold.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Learning Semantic Classes for Word Sense Disambiguation.
Proceedings of the ACL 2005, 2005

Word Sense Disambiguation with Semi-Supervised Learning.
Proceedings of the Proceedings, 2005

2004
Learning to integrate web taxonomies.
J. Web Semant., 2004

Web taxonomy integration using support vector machines.
Proceedings of the 13th international conference on World Wide Web, 2004

Using link analysis to improve layout on mobile devices.
Proceedings of the 13th international conference on World Wide Web, 2004

Personalization of web content for wireless mobile device.
Proceedings of the 2004 IEEE Wireless Communications and Networking Conference , 2004

Experience of Using SVM for the Triage Task in TREC 2004 Genomics Track.
Proceedings of the Thirteenth Text REtrieval Conference, 2004

Web taxonomy integration through co-bootstrapping.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Semi-supervised Text Classification Using Partitioned EM.
Proceedings of the Database Systems for Advances Applications, 2004

Towards Understanding the Functions of Web Element.
Proceedings of the Information Retrieval Technology, Asia Information Retrieval Symposium, 2004

Text Classification by Labeling Words.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
A Theoretical Analysis of Query Selection for Collaborative Filtering.
Mach. Learn., 2003

A Language Modeling Approach to Passage Question Answering.
Proceedings of The Twelfth Text REtrieval Conference, 2003

Question classification using support vector machines.
Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003

Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression.
Proceedings of the Machine Learning, 2003

Building Text Classifiers Using Positive and Unlabeled Examples.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
Web Based Pattern Mining and Matching Approach to Question Answering.
Proceedings of The Eleventh Text REtrieval Conference, 2002

Partially Supervised Classification of Text Documents.
Proceedings of the Machine Learning, 2002

2001
Collaborative Learning and Recommender Systems.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

A Theoretical Analysis of Query Selection for Collaborative Filtering.
Proceedings of the Computational Learning Theory, 2001

2000
Tiling and adaptive image compression.
IEEE Trans. Inf. Theory, 2000

A robust codec for transmission of very low bit-rate video over channels with bursty errors.
IEEE Trans. Circuits Syst. Video Technol., 2000

Trees, Windows, and Tiles for Wavelet Image Compression.
Proceedings of the Data Compression Conference, 2000

1999
Edge Adaptive Prediction for Lossless Image Coding.
Proceedings of the Data Compression Conference, 1999

1998
The Importance of Convexity in Learning with Squared Loss.
IEEE Trans. Inf. Theory, 1998

Error Concealment for Arbitrarily Shaped Video Objects.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Spatial Temporal Concealment of Lost Blocks in Coded Video.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

1997
Correction to 'Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes'.
Neural Comput., 1997

Error Resilience in Video and Multiplexing Layers for Very Low Bit-Rate Video Coding Systems.
IEEE J. Sel. Areas Commun., 1997

Generalization in Decision Trees and DNF: Does Size Matter?
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Boosting the margin: A new explanation for the effectiveness of voting methods.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

A diversity-based scheme for reducing error propagation in video.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Robustness of multiplexing protocols for audio-visual services over wireless networks.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

1996
Efficient agnostic learning of neural networks with bounded fan-in.
IEEE Trans. Inf. Theory, 1996

1995
Lower Bounds on the VC Dimension of Smoothly Parameterized Function Classes.
Neural Comput., 1995

On Efficient Agnostic Learning of Linear Combinations of Basis Functions.
Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1994
Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes.
Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, 1994


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