NUS-LID Learning, Inference, and Decision Group at NUS

Research

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Highlighted

PF-GNN: Differentiable particle filtering based approximation of universal graph representations
MH Dupty, Y Dong, WS Lee
International Conference on Learning Representations, 2022   ·   01 Jan 2022   ·   8PCrLgwAAAAJ:fMcxjvj1mj8C
Factor graph neural network
Z Zhang, F Wu, WS Lee
NeurIPS 2020, 2020   ·   01 Jan 2020   ·   8PCrLgwAAAAJ:IX653JsL2_EC
Particle filter recurrent neural networks
X Ma, P Karkus, D Hsu, WS Lee
AAAI 2020, 2020   ·   01 Jan 2020   ·   8PCrLgwAAAAJ:uQyLbZAWguAC
Differentiable algorithm networks for composable robot learning
P Karkus, X Ma, D Hsu, LP Kaelbling, WS Lee, T Lozano-Pérez
RSS 2019, 2019   ·   01 Jan 2019   ·   8PCrLgwAAAAJ:ohFW0PAxsewC
Despot: Online pomdp planning with regularization
N Ye, A Somani, D Hsu, WS Lee
Journal of Artificial Intelligence Research 58, 231-266, 2017   ·   01 Jan 2017   ·   8PCrLgwAAAAJ:ey9_mCyZ-VYC
Tensor belief propagation
A Wrigley, WS Lee, N Ye
International Conference on Machine Learning, 3771-3779, 2017   ·   01 Jan 2017   ·   8PCrLgwAAAAJ:gYnLYBw1zZMC
Shortest Path under Uncertainty: Exploration versus Exploitation
ZW Lim, D Hsu, WS Lee
Uncertainty in AI, 2017   ·   01 Jan 2017   ·   8PCrLgwAAAAJ:Ui_nyea79ooC
Near-optimal adaptive pool-based active learning with general loss
NV Cuong, WS Lee, N Ye
UAI, 2014   ·   01 Jan 2014   ·   8PCrLgwAAAAJ:i6LplTXqhpIC
Integrated perception and planning in the continuous space: A POMDP approach
H Bai, D Hsu, WS Lee
The International Journal of Robotics Research 33 (9), 1288-1302, 2014   ·   01 Jan 2014   ·   8PCrLgwAAAAJ:n1qY4L4uFdgC
Conditional random field with high-order dependencies for sequence labeling and segmentation
NV Cuong, N Ye, WS Lee, HL Chieu
The Journal of Machine Learning Research 15 (1), 981-1009, 2014   ·   01 Jan 2014   ·   8PCrLgwAAAAJ:HmWvvuJwtxYC
SARSOP: Efficient point-based POMDP planning by approximating optimally reachable belief spaces
H Kurniawati, D Hsu, WS Lee
Proc. Robotics: Science and Systems, 2008   ·   01 Jan 2008   ·   8PCrLgwAAAAJ:qjMakFHDy7sC
Partially supervised classification of text documents
B Liu, WS Lee, PS Yu, X Li
MACHINE LEARNING-INTERNATIONAL WORKSHOP THEN CONFERENCE-, 387-394, 2002   ·   01 Jan 2002   ·   8PCrLgwAAAAJ:d1gkVwhDpl0C
Boosting the margin: A new explanation for the effectiveness of voting methods
RE Schapire, Y Freund, P Bartlett, WS Lee
The annals of statistics 26 (5), 1651-1686, 1998   ·   01 Jan 1998   ·   8PCrLgwAAAAJ:u5HHmVD_uO8C

All

2024

Differentiable Tree Search in Latent State Space
D Mittal, WS Lee
arXiv preprint arXiv:2401.11660, 2024   ·   01 Jan 2024   ·   8PCrLgwAAAAJ:BHd7YmozNHgC
Constrained Layout Generation with Factor Graphs
MH Dupty, Y Dong, S Leng, G Fu, YL Goh, W Lu, WS Lee
arXiv preprint arXiv:2404.00385, 2024   ·   01 Jan 2024   ·   8PCrLgwAAAAJ:HOg0WoviCygC
Large language models as commonsense knowledge for large-scale task planning
Z Zhao, WS Lee, D Hsu
Advances in Neural Information Processing Systems 36, 2024   ·   01 Jan 2024   ·   8PCrLgwAAAAJ:YiZc1oW-E3oC

2023

Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents
Y Dong, L Deng, J Zhang, X Yu, T Lin, F Gelli, S Poria, WS Lee
Findings of the Association for Computational Linguistics: EACL 2023, 1471-1484, 2023   ·   01 Jan 2023   ·   8PCrLgwAAAAJ:BDTQWqO089sC
Tell2Design: A Dataset for Language-Guided Floor Plan Generation
S Leng, Y Zhou, MH Dupty, WS Lee, SC Joyce, W Lu
arXiv preprint arXiv:2311.15941, 2023   ·   01 Jan 2023   ·   8PCrLgwAAAAJ:N7YTE_TVRugC
Factor graph neural networks
Z Zhang, MH Dupty, F Wu, JQ Shi, WS Lee
Journal of Machine Learning Research 24 (181), 1-54, 2023   ·   01 Jan 2023   ·   8PCrLgwAAAAJ:NRnkAyzcrGMC
Differentiable parsing and visual grounding of natural language instructions for object placement
Z Zhao, WS Lee, D Hsu
2023 IEEE International Conference on Robotics and Automation (ICRA), 11546 …, 2023   ·   01 Jan 2023   ·   8PCrLgwAAAAJ:EO1llL0aI9sC

2022

Context-Hierarchy Inverse Reinforcement Learning
W Gao, D Hsu, WS Lee
arXiv preprint arXiv:2202.12597, 2022   ·   01 Jan 2022   ·   8PCrLgwAAAAJ:AeM5kdmBKVwC
ProtoGNN: Prototype-Assisted Message Passing Framework for Non-Homophilous Graphs
Y Dong, MH Dupty, L Deng, YL Goh, WS Lee
[no publisher info]   ·   01 Jan 2022   ·   8PCrLgwAAAAJ:BulkYocH2doC
Expose: Combining state-based exploration with gradient-based online search
D Mittal, S Aravindan, WS Lee
arXiv preprint arXiv:2202.01461, 2022   ·   01 Jan 2022   ·   8PCrLgwAAAAJ:dIILA_La5fwC
Graph Representation Learning with Individualization and Refinement
MH Dupty, WS Lee
arXiv preprint arXiv:2203.09141, 2022   ·   01 Jan 2022   ·   8PCrLgwAAAAJ:-TLX1-BxFiYC
Differentiable parsing and visual grounding of verbal instructions for object placement
Z Zhao, WS Lee, D Hsu
Workshop on Language and Robotics at CoRL 2022, 2022   ·   01 Jan 2022   ·   8PCrLgwAAAAJ:7q08wCQPkLwC
Efficient offline policy optimization with a learned model
Z Liu, S Li, WS Lee, S Yan, Z Xu
arXiv preprint arXiv:2210.05980, 2022   ·   01 Jan 2022   ·   8PCrLgwAAAAJ:GO5CT2y9xrEC
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
MH Dupty, Y Dong, WS Lee
International Conference on Learning Representations, 2022   ·   01 Jan 2022   ·   8PCrLgwAAAAJ:fMcxjvj1mj8C
None class ranking loss for document-level relation extraction
Y Zhou, WS Lee
arXiv preprint arXiv:2205.00476, 2022   ·   01 Jan 2022   ·   8PCrLgwAAAAJ:F0CZgh39Fi0C
Combining reinforcement learning and optimal transport for the traveling salesman problem
YL Goh, WS Lee, X Bresson, T Laurent, N Lim
arXiv preprint arXiv:2203.00903, 2022   ·   01 Jan 2022   ·   8PCrLgwAAAAJ:FepLwMwnKBMC
Learning latent graph dynamics for visual manipulation of deformable objects
X Ma, D Hsu, WS Lee
2022 International Conference on Robotics and Automation (ICRA), 8266-8273, 2022   ·   01 Jan 2022   ·   8PCrLgwAAAAJ:EVKlETVVbN8C
Gamma: A general agent motion model for autonomous driving
Y Luo, P Cai, Y Lee, D Hsu
IEEE Robotics and Automation Letters 7 (2), 3499-3506, 2022   ·   01 Jan 2022   ·   8PCrLgwAAAAJ:E10ZYwHxBI8C

2021

EVaDE: Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning
S Aravindan, D Mittal, WS Lee
[no publisher info]   ·   01 Jan 2021   ·   8PCrLgwAAAAJ:W1ZWpF0a3GIC
Ensemble and auxiliary tasks for data-efficient deep reinforcement learning
MR Maulana, WS Lee
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021   ·   01 Jan 2021   ·   8PCrLgwAAAAJ:edV_OwlUe4UC
State-Aware Variational Thompson Sampling for Deep Q-Networks
S Aravindan, WS Lee
AAMAS 2021, 2021   ·   01 Jan 2021   ·   8PCrLgwAAAAJ:SFU-2amZ4xQC
Ai-lyricist: Generating music and vocabulary constrained lyrics
X Ma, Y Wang, MY Kan, WS Lee
Proceedings of the 29th ACM International Conference on Multimedia, 1002-1011, 2021   ·   01 Jan 2021   ·   8PCrLgwAAAAJ:PQ6BjWB6CiEC
A bidirectional graph neural network for traveling salesman problems on arbitrary symmetric graphs
Y Hu, Z Zhang, Y Yao, X Huyan, X Zhou, WS Lee
Engineering Applications of Artificial Intelligence 97, 104061, 2021   ·   01 Jan 2021   ·   8PCrLgwAAAAJ:8cBNEdFwSQkC
Learning latent graph dynamics for deformable object manipulation
X Ma, D Hsu, WS Lee
arXiv preprint arXiv:2104.12149 2, 2021   ·   01 Jan 2021   ·   8PCrLgwAAAAJ:pfJNqKtVkuoC
Contrastive variational reinforcement learning for complex observations
X Ma, S Chen, D Hsu, WS Lee
Conference on Robot Learning, 959-972, 2021   ·   01 Jan 2021   ·   8PCrLgwAAAAJ:6YFk0eKgftsC
HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty
P Cai, Y Luo, D Hsu, WS Lee
The International Journal of Robotics Research 40 (2-3), 558-573, 2021   ·   01 Jan 2021   ·   8PCrLgwAAAAJ:z-B63o8J19IC
Understanding and resolving performance degradation in deep graph convolutional networks
K Zhou, Y Dong, K Wang, WS Lee, B Hooi, H Xu, J Feng
Proceedings of the 30th ACM International Conference on Information …, 2021   ·   01 Jan 2021   ·   8PCrLgwAAAAJ:rKYHOwt5kWwC

2020

Factor Graph Molecule Network for Structure Elucidation
HL Trung, Y Xu, WS Lee
arXiv preprint arXiv:2012.05665, 2020   ·   01 Jan 2020   ·   8PCrLgwAAAAJ:dyiPZ63SVtYC
Guided exploration of human intentions for human-robot interaction
M Chen, D Hsu, WS Lee
Algorithmic Foundations of Robotics XIII: Proceedings of the 13th Workshop …, 2020   ·   01 Jan 2020   ·   8PCrLgwAAAAJ:q82PccF7nXcC
Multiplicative Gaussian Particle Filter
X Su, WS Lee, Z Zhang
AISTATS 2020, 2020   ·   01 Jan 2020   ·   8PCrLgwAAAAJ:kcGNQN_anIUC
Neuralizing efficient higher-order belief propagation
MH Dupty, WS Lee
arXiv preprint arXiv:2010.09283, 2020   ·   01 Jan 2020   ·   8PCrLgwAAAAJ:TEVcCiyi8yIC
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition
MH Dupty, Z Zhang, WS Lee
AAAI 2020, 2020   ·   01 Jan 2020   ·   8PCrLgwAAAAJ:rwEhk56xNqMC
Discriminative particle filter reinforcement learning for complex partial observations
X Ma, P Karkus, D Hsu, WS Lee, N Ye
ICLR 2020, 2020   ·   01 Jan 2020   ·   8PCrLgwAAAAJ:vrnMIr82eJkC
Factor graph neural network
Z Zhang, F Wu, WS Lee
NeurIPS 2020, 2020   ·   01 Jan 2020   ·   8PCrLgwAAAAJ:IX653JsL2_EC
Particle filter recurrent neural networks
X Ma, P Karkus, D Hsu, WS Lee
AAAI 2020, 2020   ·   01 Jan 2020   ·   8PCrLgwAAAAJ:uQyLbZAWguAC
A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs
Y Hu, Y Yao, WS Lee
Knowledge-Based Systems 204, 106244, 2020   ·   01 Jan 2020   ·   8PCrLgwAAAAJ:cxS_fjKIGZMC

2019

Factored contextual policy search with bayesian optimization
R Pinsler, P Karkus, A Kupcsik, D Hsu, WS Lee
2019 International Conference on Robotics and Automation (ICRA), 7242-7248, 2019   ·   01 Jan 2019   ·   8PCrLgwAAAAJ:ec1XJgWlWRUC
Learning to grasp under uncertainty using POMDPs
NP Garg, D Hsu, WS Lee
2019 International Conference on Robotics and Automation (ICRA), 2751-2757, 2019   ·   01 Jan 2019   ·   8PCrLgwAAAAJ:ddB7do2jUx8C
Lets-drive: Driving in a crowd by learning from tree search
P Cai, Y Luo, A Saxena, D Hsu, WS Lee
RSS 2019, 2019   ·   01 Jan 2019   ·   8PCrLgwAAAAJ:e-nnqdki048C
Despot-alpha: Online pomdp planning with large state and observation spaces.
NP Garg, D Hsu, WS Lee
Robotics: Science and Systems 3 (3), 3.2, 2019   ·   01 Jan 2019   ·   8PCrLgwAAAAJ:TuM7UPshZo8C
Importance sampling for online planning under uncertainty
Y Luo, H Bai, D Hsu, WS Lee
The International Journal of Robotics Research 38 (2-3), 162-181, 2019   ·   01 Jan 2019   ·   8PCrLgwAAAAJ:YanO1q2l3soC
Differentiable algorithm networks for composable robot learning
P Karkus, X Ma, D Hsu, LP Kaelbling, WS Lee, T Lozano-Pérez
RSS 2019, 2019   ·   01 Jan 2019   ·   8PCrLgwAAAAJ:ohFW0PAxsewC
Deep graphical feature learning for the feature matching problem
Z Zhang, WS Lee
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019   ·   01 Jan 2019   ·   8PCrLgwAAAAJ:ocbgtyEEUOwC
An interactive multi-task learning network for end-to-end aspect-based sentiment analysis
R He, WS Lee, HT Ng, D Dahlmeier
ACL 2019, 2019   ·   01 Jan 2019   ·   8PCrLgwAAAAJ:b8m_4JuPjscC

2018

PF-LSTM: Belief state particle filter for LSTM
X Ma, P Karkus, D Hsu, WS Lee
NeurIPS RLPO Workshop, 2018   ·   01 Jan 2018   ·   8PCrLgwAAAAJ:QlnOKEPDpKwC
Autonomous driving among many pedestrians: Models and algorithms
Y Luo, P Cai, A Bera, D Hsu, WS Lee, D Manocha
IEEE Robotics Automation Letters (RA-L), 2018   ·   01 Jan 2018   ·   8PCrLgwAAAAJ:eJjLl3UG7CkC
Particle filter networks: End-to-end probabilistic localization from visual observations
P Karkus, D Hsu, WS Lee
arXiv preprint arXiv:1805.08975, 2018   ·   01 Jan 2018   ·   8PCrLgwAAAAJ:b2kfBsK7yCQC
Integrating algorithmic planning and deep learning for partially observable navigation
P Karkus, D Hsu, WS Lee
arXiv preprint arXiv:1807.06696, 2018   ·   01 Jan 2018   ·   8PCrLgwAAAAJ:dBzKUGQurMsC
Adaptive semi-supervised learning for cross-domain sentiment classification
R He, WS Lee, HT Ng, D Dahlmeier
arXiv preprint arXiv:1809.00530, 2018   ·   01 Jan 2018   ·   8PCrLgwAAAAJ:dHRcJqc9SEQC
Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties.
JK Li, WS Lee, D Hsu
Robotics: Science and Systems 14, 1-9, 2018   ·   01 Jan 2018   ·   8PCrLgwAAAAJ:u1IMlZnpNFQC
Learning dynamic robot-to-human object handover from human feedback
A Kupcsik, D Hsu, WS Lee
Robotics Research: Volume 1, 161-176, 2018   ·   01 Jan 2018   ·   8PCrLgwAAAAJ:CB6W3GmKGOEC
Particle filter networks with application to visual localization
P Karkus, D Hsu, WS Lee
Conference on robot learning, 169-178, 2018   ·   01 Jan 2018   ·   8PCrLgwAAAAJ:C-SEpTPhZ1wC
Porca: Modeling and planning for autonomous driving among many pedestrians
Y Luo, P Cai, A Bera, D Hsu, WS Lee, D Manocha
IEEE Robotics and Automation Letters 3 (4), 3418-3425, 2018   ·   01 Jan 2018   ·   8PCrLgwAAAAJ:QZWLLlSfqgYC
Exploiting document knowledge for aspect-level sentiment classification
R He, WS Lee, HT Ng, D Dahlmeier
arXiv preprint arXiv:1806.04346, 2018   ·   01 Jan 2018   ·   8PCrLgwAAAAJ:Q17yWvk9gpwC
Effective Attention Modeling for Aspect-Level Sentiment Classification
R He, WS Lee, HT Ng, D Dahlmeier
27th International Conference on Computational Linguistics, 1121-1131, 2018   ·   01 Jan 2018   ·   8PCrLgwAAAAJ:Sg-YnEhjH50C
Convolutional sequence to sequence model for human dynamics
C Li, Z Zhang, WS Lee, GH Lee
Proceedings of the IEEE conference on computer vision and pattern …, 2018   ·   01 Jan 2018   ·   8PCrLgwAAAAJ:TiLqlu47W2oC

2017

Online POMDP Algorithms for Very Large Observation Spaces
WS Lee, ...
[no publisher info]   ·   01 Jan 2017   ·   8PCrLgwAAAAJ:m44aUaJR3ikC
Tensor belief propagation
A Wrigley, WS Lee, N Ye
International Conference on Machine Learning, 3771-3779, 2017   ·   01 Jan 2017   ·   8PCrLgwAAAAJ:gYnLYBw1zZMC
Shortest Path under Uncertainty: Exploration versus Exploitation
ZW Lim, D Hsu, WS Lee
Uncertainty in AI, 2017   ·   01 Jan 2017   ·   8PCrLgwAAAAJ:Ui_nyea79ooC
Intention-net: Integrating planning and deep learning for goal-directed autonomous navigation
W Gao, D Hsu, WS Lee, S Shen, K Subramanian
Conference on robot learning, 185-194, 2017   ·   01 Jan 2017   ·   8PCrLgwAAAAJ:pcWPcJyQGiUC
QMDP-Net: Deep Learning for Planning under Partial Observability
P Karkus, D Hsu, WS Lee
Advances in Neural Information Processing Systems, 2017   ·   01 Jan 2017   ·   8PCrLgwAAAAJ:w_ORaKkuc5QC
Despot: Online pomdp planning with regularization
N Ye, A Somani, D Hsu, WS Lee
Journal of Artificial Intelligence Research 58, 231-266, 2017   ·   01 Jan 2017   ·   8PCrLgwAAAAJ:ey9_mCyZ-VYC
An unsupervised neural attention model for aspect extraction
R He, WS Lee, HT Ng, D Dahlmeier
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017   ·   01 Jan 2017   ·   8PCrLgwAAAAJ:fixghrsIJ_wC

2016

Robustness of Bayesian Pool-based Active Learning Against Prior Misspecification: Supplementary Material
NV Cuong, N Ye, WS Lee
AAAI, 2016   ·   01 Jan 2016   ·   8PCrLgwAAAAJ:qwOXE0mbtu4C
Robustness of Bayesian Pool-based Active Learning Against Prior Misspecification
N Viet Cuong, N Ye, WS Lee
arXiv e-prints, arXiv: 1603.09050, 2016   ·   01 Jan 2016   ·   8PCrLgwAAAAJ:djcsc3XHdKAC
Factored contextual policy search with Bayesian optimization
P Karkus, A Kupcsik, D Hsu, WS Lee
arXiv preprint arXiv:1612.01746, 2016   ·   01 Jan 2016   ·   8PCrLgwAAAAJ:5N-NJrZHaHcC
Robustness of Bayesian pool-based active learning against prior misspecification
N Cuong, N Ye, W Lee
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016   ·   01 Jan 2016   ·   8PCrLgwAAAAJ:peNFRSk4lDYC
POMDP-lite for robust robot planning under uncertainty
M Chen, E Frazzoli, D Hsu, WS Lee
2016 IEEE International Conference on Robotics and Automation (ICRA), 5427-5433, 2016   ·   01 Jan 2016   ·   8PCrLgwAAAAJ:yeKNu01O_4gC
Act to see and see to act: POMDP planning for objects search in clutter
JK Li, D Hsu, WS Lee
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016   ·   01 Jan 2016   ·   8PCrLgwAAAAJ:2TuIPqOg0e0C

2015

POMDP to the rescue: Boosting performance for RoboCup rescue
K Wu, WS Lee, D Hsu
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015   ·   01 Jan 2015   ·   8PCrLgwAAAAJ:2u1QkWOsl3MC
PLEASE: Palm leaf search for POMDPs with large observation spaces
Z Zhang, D Hsu, WS Lee, ZW Lim, A Bai
Proceedings of the International Conference on Automated Planning and …, 2015   ·   01 Jan 2015   ·   8PCrLgwAAAAJ:qOpkhvVCMvUC
Adaptive stochastic optimization: From sets to paths
ZW Lim, D Hsu, WS Lee
Advances in Neural Information Processing Systems 28, 2015   ·   01 Jan 2015   ·   8PCrLgwAAAAJ:tBp-nognM3UC
Scholarly document information extraction using extensible features for efficient higher order semi-CRFs
NV Cuong, MK Chandrasekaran, MY Kan, WS Lee
Proceedings of the 15th ACM/IEEE-CS joint conference on digital libraries, 61-64, 2015   ·   01 Jan 2015   ·   8PCrLgwAAAAJ:_u2aKJ9e-CoC
Intention-aware online POMDP planning for autonomous driving in a crowd
H Bai, S Cai, N Ye, D Hsu, WS Lee
2015 ieee international conference on robotics and automation (icra), 454-460, 2015   ·   01 Jan 2015   ·   8PCrLgwAAAAJ:wTekDMGr9GkC

2014

Relaxed Survey Propagation for The Weighted Maximum Satisfiability Problem
HL Chieu, WSS Lee
arXiv e-prints, arXiv: 1401.3483, 2014   ·   01 Jan 2014   ·   8PCrLgwAAAAJ:MvIMIWP2nqIC
Bootstrapping simulation-based algorithms with a suboptimal policy
TH Nguyen, T Silander, WS Lee, TY Leong
Proceedings of the International Conference on Automated Planning and …, 2014   ·   01 Jan 2014   ·   8PCrLgwAAAAJ:P-MJmu9ZMwQC
Covering number for efficient heuristic-based POMDP planning
Z Zhang, D Hsu, WS Lee
International conference on machine learning, 28-36, 2014   ·   01 Jan 2014   ·   8PCrLgwAAAAJ:FtNbRaqWXr4C
Near-optimal adaptive pool-based active learning with general loss
NV Cuong, WS Lee, N Ye
UAI, 2014   ·   01 Jan 2014   ·   8PCrLgwAAAAJ:i6LplTXqhpIC
Conditional random field with high-order dependencies for sequence labeling and segmentation
NV Cuong, N Ye, WS Lee, HL Chieu
The Journal of Machine Learning Research 15 (1), 981-1009, 2014   ·   01 Jan 2014   ·   8PCrLgwAAAAJ:HmWvvuJwtxYC
Adaptive Informative Path Planning in Metric Spaces
ZW Lim, D Hsu, WS Lee
International Workshop on the Algorithmic Foundations of Robotics, 2014   ·   01 Jan 2014   ·   8PCrLgwAAAAJ:0qX8s2k1IRwC
Integrated perception and planning in the continuous space: A POMDP approach
H Bai, D Hsu, WS Lee
The International Journal of Robotics Research 33 (9), 1288-1302, 2014   ·   01 Jan 2014   ·   8PCrLgwAAAAJ:n1qY4L4uFdgC

2013

Introduction: special issue of selected papers of ACML 2012
ZH Zhou, WS Lee, SCH Hoi, W Buntine, H Motoda
Machine Learning 92, 221-223, 2013   ·   01 Jan 2013   ·   8PCrLgwAAAAJ:D_sINldO8mEC
Learning with invariance via linear functionals on reproducing kernel hilbert space
X Zhang, WS Lee, YW Teh
Advances in Neural Information Processing Systems 26, 2013   ·   01 Jan 2013   ·   8PCrLgwAAAAJ:eMMeJKvmdy0C
Planning how to learn
H Bai, D Hsu, WS Lee
2013 IEEE International Conference on Robotics and Automation, 2853-2859, 2013   ·   01 Jan 2013   ·   8PCrLgwAAAAJ:eJXPG6dFmWUC
Active learning for probabilistic hypotheses using the maximum Gibbs error criterion
NV Cuong, WS Lee, N Ye, KMA Chai, HL Chieu
Advances in Neural Information Processing Systems 26, 2013   ·   01 Jan 2013   ·   8PCrLgwAAAAJ:JoHZYnTS1h4C
Intention-aware motion planning
T Bandyopadhyay, KS Won, E Frazzoli, D Hsu, WS Lee, D Rus
Algorithmic Foundations of Robotics X: Proceedings of the Tenth Workshop on …, 2013   ·   01 Jan 2013   ·   8PCrLgwAAAAJ:vRqMK49ujn8C
DESPOT: Online POMDP planning with regularization
A Somani, N Ye, D Hsu, WS Lee
Advances in neural information processing systems, 1772-1780, 2013   ·   01 Jan 2013   ·   8PCrLgwAAAAJ:zaHkCSmj5XkC

2012

Intention-aware motion planning
WK Sung, F Emilio, H David, LW Sun, R Daniela
Workshop on the Algorithmic Foundations of Robotics, 2012   ·   01 Jan 2012   ·   8PCrLgwAAAAJ:hXZnTIgIr50C
Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic
TH Dinh Nguyen, WS Lee, TY Leong
arXiv e-prints, arXiv: 1206.5940, 2012   ·   01 Jan 2012   ·   8PCrLgwAAAAJ:8_tS2Vw13FcC
CAPIR: Collaborative Action Planning with Intention Recognition
TH Dinh Nguyen, D Hsu, WS Lee, TY Leong, L Pack Kaelbling, ...
arXiv e-prints, arXiv: 1206.5928, 2012   ·   01 Jan 2012   ·   8PCrLgwAAAAJ:wUCFpcnEedwC
Bootstrapping Monte Carlo tree search with an imperfect heuristic
THD Nguyen, WS Lee, TY Leong
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012   ·   01 Jan 2012   ·   8PCrLgwAAAAJ:f2IySw72cVMC
Monte carlo bayesian reinforcement learning
Y Wang, KS Won, D Hsu, WS Lee
arXiv preprint arXiv:1206.6449, 2012   ·   01 Jan 2012   ·   8PCrLgwAAAAJ:a0OBvERweLwC
Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs
H Bai, D Hsu, MJ Kochenderfer, WS Lee
Robotics: Science and Systems VII 2, 2012   ·   01 Jan 2012   ·   8PCrLgwAAAAJ:M3NEmzRMIkIC
Optimizing F-measure: A tale of two approaches
Y Nan, KM Chai, WS Lee, HL Chieu
arXiv preprint arXiv:1206.4625, 2012   ·   01 Jan 2012   ·   8PCrLgwAAAAJ:cAWJABFkdiUC

2011

Transfer learning for adaptive relation extraction
HL Chieu, WS Lee, J Jiang, ...
Technical report, DSO National Laboratories, Singapore, 2011   ·   01 Jan 2011   ·   8PCrLgwAAAAJ:4OULZ7Gr8RgC
Partially supervised learning
B Liu, B Liu, WS Lee
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, 171-208, 2011   ·   01 Jan 2011   ·   8PCrLgwAAAAJ:GnPB-g6toBAC
Monte Carlo Value Iteration with Macro-Actions.
ZW Lim, D Hsu, WS Lee
NIPS, 1287-1295, 2011   ·   01 Jan 2011   ·   8PCrLgwAAAAJ:RGFaLdJalmkC
CAPIR: Collaborative Action Planning with Intention Recognition
THD Nguyen, D Hsu, WS Lee, TY Leong, LP Kaelbling, T Lozano-Perez, ...
Seventh Artificial Intelligence and Interactive Digital Entertainment Conference, 2011   ·   01 Jan 2011   ·   8PCrLgwAAAAJ:RYcK_YlVTxYC
Monte Carlo value iteration for continuous-state POMDPs
H Bai, D Hsu, W Lee, V Ngo
Algorithmic Foundations of Robotics IX, 175-191, 2011   ·   01 Jan 2011   ·   8PCrLgwAAAAJ:HDshCWvjkbEC
Motion planning under uncertainty for robotic tasks with long time horizons
H Kurniawati, Y Du, D Hsu, WS Lee
The International Journal of Robotics Research 30 (3), 308, 2011   ·   01 Jan 2011   ·   8PCrLgwAAAAJ:M3ejUd6NZC8C

2010

Structured parameter elicitation
LL Ko, D Hsu, WS Lee, S Ong
Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1102-1107, 2010   ·   01 Jan 2010   ·   8PCrLgwAAAAJ:70eg2SAEIzsC
A POMDP approach to robot motion planning under uncertainty
Y Du, D Hsu, H Kurniawati, WS Lee, S Ong, SW Png
International Conference on Automated Planning & Scheduling, Workshop on …, 2010   ·   01 Jan 2010   ·   8PCrLgwAAAAJ:mu2_AnMl8iYC
POMDPs for robotic tasks with mixed observability
SCW Ong, SW Png, D Hsu, WS Lee
[no publisher info]   ·   01 Jan 2010   ·   8PCrLgwAAAAJ:fhZv66dCuXAC
Planning under uncertainty for robotic tasks with mixed observability
SCW Ong, SW Png, D Hsu, WS Lee
The International Journal of Robotics Research 29 (8), 1053, 2010   ·   01 Jan 2010   ·   8PCrLgwAAAAJ:UebtZRa9Y70C

2009

Partially observable Markov decision process (POMDP) technologies for sign language based human-computer interaction
SCW Ong, D Hsu, WS Lee, H Kurniawati
Universal Access in Human-Computer Interaction. Applications and Services …, 2009   ·   01 Jan 2009   ·   8PCrLgwAAAAJ:NhqRSupF_l8C
Query-By-Multiple-Examples using Support Vector Machines.
D Zhang, WS Lee
J. Digit. Inf. Manag. 7 (4), 202-210, 2009   ·   01 Jan 2009   ·   8PCrLgwAAAAJ:vV6vV6tmYwMC
Relaxed survey propagation for the weighted maximum satisfiability problem
HL Chieu, WS Lee
Journal of Artificial Intelligence Research 36 (1), 229-266, 2009   ·   01 Jan 2009   ·   8PCrLgwAAAAJ:maZDTaKrznsC
Motion planning for people tracking in uncertain and dynamic environments
T Bandyopadhyay, N Rong, M Ang, D Hsu, WS Lee
Workshop on People Detection and Tracking, IEEE International Conference on …, 2009   ·   01 Jan 2009   ·   8PCrLgwAAAAJ:_Qo2XoVZTnwC
Natural language generation with tree conditional random fields
W Lu, HT Ng, WS Lee
Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009   ·   01 Jan 2009   ·   8PCrLgwAAAAJ:R3hNpaxXUhUC
Conditional Random Fields with High-Order Features for Sequence Labeling
N Ye, WS Lee, HL Chieu, D Wu, SMIT Alliance
Advances in Neural Information Processing Systems 22, 2196-2204, 2009   ·   01 Jan 2009   ·   8PCrLgwAAAAJ:bEWYMUwI8FkC
Domain adaptive bootstrapping for named entity recognition
D Wu, WS Lee, N Ye, HL Chieu
EMNLP'09 Proceedings of the 2009 Conference on Empirical Methods in Natural …, 2009   ·   01 Jan 2009   ·   8PCrLgwAAAAJ:9ZlFYXVOiuMC

2008

The importance of convexity in learning with squared loss (vol 44, pg 1074, 1998)
WS Lee, PL Bartlett, RC Williamson
IEEE TRANSACTIONS ON INFORMATION THEORY 54 (9), 4395-4395, 2008   ·   01 Jan 2008   ·   8PCrLgwAAAAJ:Vch7EZszQGgC
Correction to “The Importance of Convexity in Learning With Squared Loss”[Sep 98 1974-1980]
WS Lee, PL Bartlett, RC Williamson
IEEE Transactions on Information Theory 54 (9), 4395-4395, 2008   ·   01 Jan 2008   ·   8PCrLgwAAAAJ:J_g5lzvAfSwC
Learning with support vector machines for query-by-multiple-examples
D Zhang, WS Lee
Proceedings of the 31st annual international ACM SIGIR conference on …, 2008   ·   01 Jan 2008   ·   8PCrLgwAAAAJ:iH-uZ7U-co4C
Learning classifiers without negative examples: A reduction approach
D Zhang, WS Lee
Digital Information Management, 2008. ICDIM 2008. Third International …, 2008   ·   01 Jan 2008   ·   8PCrLgwAAAAJ:YFjsv_pBGBYC
A point-based POMDP planner for target tracking
D Hsu, WS Lee, N Rong
Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on …, 2008   ·   01 Jan 2008   ·   8PCrLgwAAAAJ:8k81kl-MbHgC
A generative model for parsing natural language to meaning representations
W Lu, HT Ng, WS Lee, LS Zettlemoyer
Proceedings of the Conference on Empirical Methods in Natural Language …, 2008   ·   01 Jan 2008   ·   8PCrLgwAAAAJ:ULOm3_A8WrAC
SARSOP: Efficient point-based POMDP planning by approximating optimally reachable belief spaces
H Kurniawati, D Hsu, WS Lee
Proc. Robotics: Science and Systems, 2008   ·   01 Jan 2008   ·   8PCrLgwAAAAJ:qjMakFHDy7sC

2007

Accelerating point-based POMDP algorithms through successive approximations of the optimal reachable space
D Hsu, WS LEE, N Rong
; TRA4/07, 2007   ·   01 Jan 2007   ·   8PCrLgwAAAAJ:isC4tDSrTZIC
Cooled and relaxed survey propagation for MRFs
HL Chieu, WS Lee, YW Teh
22nd Conf. on Neural Information Processing Systems (NIPS’07), Vancouver, Canada, 2007   ·   01 Jan 2007   ·   8PCrLgwAAAAJ:j3f4tGmQtD8C
Optimizing classifier performance in word sense disambiguation by redefining word sense classes
US Kohomban, WS Lee
Proceedings of the International Joint Conference on Artificial Intelligence …, 2007   ·   01 Jan 2007   ·   8PCrLgwAAAAJ:TQgYirikUcIC
NUS at DUC 2007: Using evolutionary models of text
Z Lin, TS Chua, MY Kan, WS Lee, L Qiu, S Ye
Proceedings of Document Understanding Conference (DUC), 2007   ·   01 Jan 2007   ·   8PCrLgwAAAAJ:KlAtU1dfN6UC
What makes some POMDP problems easy to approximate?
W Lee, N Rong, D Hsu
Advances in neural information processing systems 20, 2007   ·   01 Jan 2007   ·   8PCrLgwAAAAJ:wyoMR1qFDH8C
Improving word sense disambiguation using topic features
JF Cai, WS Lee, YW Teh
Proceedings of the 2007 joint conference on empirical methods in natural …, 2007   ·   01 Jan 2007   ·   8PCrLgwAAAAJ:roLk4NBRz8UC

2006

Learning to separate text content and style for classification
D Zhang, WS Lee
Asia Information Retrieval Symposium, 79-91, 2006   ·   01 Jan 2006   ·   8PCrLgwAAAAJ:b0M2c_1WBrUC
Semi-supervised learning in reproducing kernel Hilbert spaces using local invariances
WS Lee, X Zhang, YW Teh
TRB3/06, 2006   ·   01 Jan 2006   ·   8PCrLgwAAAAJ:NaGl4SEjCO4C
Properties of forward pruning in game-tree search
YJ Lim, WS Lee
Proceedings of the National Conference on Artificial Intelligence 21 (2), 1020, 2006   ·   01 Jan 2006   ·   8PCrLgwAAAAJ:TFP_iSt0sucC
Rankcut-a domain independent forward pruning method for games
YJ Lim, WS Lee
PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE 21 (2), 1026, 2006   ·   01 Jan 2006   ·   8PCrLgwAAAAJ:r0BpntZqJG4C
Activity recognition from physiological data using conditional random fields
HL Chieu, WS Lee, LP Kaelbling
[no publisher info]   ·   01 Jan 2006   ·   8PCrLgwAAAAJ:7PzlFSSx8tAC
Hyperparameter learning for graph based semi-supervised learning algorithms
X Zhang, W Lee
Advances in neural information processing systems 19, 2006   ·   01 Jan 2006   ·   8PCrLgwAAAAJ:qxL8FJ1GzNcC
Extracting key-substring-group features for text classification
D Zhang, WS Lee
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006   ·   01 Jan 2006   ·   8PCrLgwAAAAJ:Se3iqnhoufwC

2005

Validating co-training models for web image classification
D Zhang, WS Lee
[no publisher info]   ·   01 Jan 2005   ·   8PCrLgwAAAAJ:hFOr9nPyWt4C
Understanding the function of web elements for mobile content delivery using random walk models
X Yin, WS Lee
Special interest tracks and posters of the 14th International Conference on …, 2005   ·   01 Jan 2005   ·   8PCrLgwAAAAJ:hC7cP41nSMkC
Word sense disambiguation with semi-supervised learning
TP Pham, HT Ng, WS Lee
PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE 20 (3), 1093, 2005   ·   01 Jan 2005   ·   8PCrLgwAAAAJ:hqOjcs7Dif8C
A simple probabilistic approach to learning from positive and unlabeled examples
D Zhang, WS Lee
Proceedings of the 5th Annual UK Workshop on Computational Intelligence …, 2005   ·   01 Jan 2005   ·   8PCrLgwAAAAJ:YOwf2qJgpHMC
Text classification with kernels on the multinomial manifold
D Zhang, X Chen, WS Lee
Proceedings of the 28th annual international ACM SIGIR conference on …, 2005   ·   01 Jan 2005   ·   8PCrLgwAAAAJ:ufrVoPGSRksC
Learning semantic classes for word sense disambiguation
US Kohomban, WS Lee
Proceedings of the 43rd Annual Meeting on Association for Computational …, 2005   ·   01 Jan 2005   ·   8PCrLgwAAAAJ:YsMSGLbcyi4C

2004

On Web Taxonomy Integration
D Zhang, WS Lee
[no publisher info]   ·   01 Jan 2004   ·   8PCrLgwAAAAJ:35N4QoGY0k4C
Optimization of web page for mobile devices
X Yin, WS Lee
13th Int'l World Wide Web Conf, 345-354, 2004   ·   01 Jan 2004   ·   8PCrLgwAAAAJ:g5m5HwL7SMYC
Experience of Using SVM for the Triage Task in TREC 2004 Genomics Track.
D Zhang, WS Lee
TREC, 2004   ·   01 Jan 2004   ·   8PCrLgwAAAAJ:e5wmG9Sq2KIC
Abnormality Detection in Retinal Images
X Yu, W Hsu, WS Lee, T Lozano-Pérez
[no publisher info]   ·   01 Jan 2004   ·   8PCrLgwAAAAJ:O3NaXMp0MMsC
Towards understanding the functions of web element
X Yin, WS Lee
Asia Information Retrieval Symposium, 313-324, 2004   ·   01 Jan 2004   ·   8PCrLgwAAAAJ:qUcmZB5y_30C
Personalization of web content for wireless mobile device
X Yin, WS Lee, Z Tan
2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No …, 2004   ·   01 Jan 2004   ·   8PCrLgwAAAAJ:ZeXyd9-uunAC
Learning to integrate web taxonomies
D Zhang, WS Lee
Journal of Web Semantics 2 (2), 131-151, 2004   ·   01 Jan 2004   ·   8PCrLgwAAAAJ:Zph67rFs4hoC
Semi-supervised text classification using partitioned EM
G Cong, W Lee, H Wu, B Liu
Database Systems for Advanced Applications, 229-239, 2004   ·   01 Jan 2004   ·   8PCrLgwAAAAJ:QIV2ME_5wuYC
Web taxonomy integration through co-bootstrapping
D Zhang, WS Lee
Proceedings of the 27th annual international ACM SIGIR Conference on …, 2004   ·   01 Jan 2004   ·   8PCrLgwAAAAJ:3fE2CSJIrl8C
Web taxonomy integration using support vector machines
D Zhang, WS Lee
Proceedings of the 13th international conference on World Wide Web, 472-481, 2004   ·   01 Jan 2004   ·   8PCrLgwAAAAJ:W7OEmFMy1HYC
Using link analysis to improve layout on mobile devices
X Yin, WS Lee
Proceedings of the 13th international conference on World Wide Web, 338-344, 2004   ·   01 Jan 2004   ·   8PCrLgwAAAAJ:Y0pCki6q_DkC
Text classification by labeling words
B Liu, X Li, WS Lee, PS Yu
Aaai 4, 425-430, 2004   ·   01 Jan 2004   ·   8PCrLgwAAAAJ:IjCSPb-OGe4C

2003

Question Classification using Support Vector Machines, National University of Singapore
D Zhang, WS Lee
Singapore-MIT Alliance, Toronto, Canada, 2003   ·   01 Jan 2003   ·   8PCrLgwAAAAJ:Agc8PWtS8JkC
Question classification using Support vector machine, proceedings of the 26th Annual International ACM SIGIR Conference
D Zhang, WS Lee
[no publisher info]   ·   01 Jan 2003   ·   8PCrLgwAAAAJ:X1xEhyGaivYC
A theoretical analysis of query selection for collaborative filtering
S Dasgupta, WS Lee, PM Long
Machine Learning 51 (3), 283-298, 2003   ·   01 Jan 2003   ·   8PCrLgwAAAAJ:mVmsd5A6BfQC
A Language Modeling Approach to Passage Question Answering.
D Zhang, WS Lee
TREC, 489-495, 2003   ·   01 Jan 2003   ·   8PCrLgwAAAAJ:5nxA0vEk-isC
A web-based question answering system
D Zhang, WS Lee
[no publisher info]   ·   01 Jan 2003   ·   8PCrLgwAAAAJ:aqlVkmm33-oC
Learning with positive and unlabeled examples using weighted logistic regression
WS Lee, B Liu
MACHINE LEARNING-INTERNATIONAL WORKSHOP THEN CONFERENCE- 20 (1), 448, 2003   ·   01 Jan 2003   ·   8PCrLgwAAAAJ:zYLM7Y9cAGgC
Question classification using support vector machines
D Zhang, WS Lee
Proceedings of the 26th annual international ACM SIGIR conference on …, 2003   ·   01 Jan 2003   ·   8PCrLgwAAAAJ:u-x6o8ySG0sC
Building text classifiers using positive and unlabeled examples
B Liu, Y Dai, X Li, WS Lee, PS Yu
Data Mining, 2003. ICDM 2003. Third IEEE International Conference on, 179-186, 2003   ·   01 Jan 2003   ·   8PCrLgwAAAAJ:9yKSN-GCB0IC

2002

A Theoretical Analysis of Query Selection for Collaborative Filtering Sanjoy Dasgupta Computer Science Department, University of California at San Diego (dasgupta@ cs. ucsd. edu)
WS Lee, PM Long
[no publisher info]   ·   01 Jan 2002   ·   8PCrLgwAAAAJ:lL5f5cZgq8MC
Web based pattern mining and matching approach to question answering
D Zhang, WS Lee
Proceedings of the 11th Text REtrieval Conference, 2002   ·   01 Jan 2002   ·   8PCrLgwAAAAJ:_FxGoFyzp5QC
Partially supervised classification of text documents
B Liu, WS Lee, PS Yu, X Li
MACHINE LEARNING-INTERNATIONAL WORKSHOP THEN CONFERENCE-, 387-394, 2002   ·   01 Jan 2002   ·   8PCrLgwAAAAJ:d1gkVwhDpl0C

2001

A theoretical analysis of query selection for collaborative filtering
WS Lee, PM Long
Computational Learning Theory: 14th Annual Conference on Computational …, 2001   ·   01 Jan 2001   ·   8PCrLgwAAAAJ:CHSYGLWDkRkC
Building Text Classifiers Using Positive and Unlabeled Examples Bing Liu Department of Computer Science University of Illinois at Chicago {liub@ cs. uic. edu}
Y Dai, X Li, WS Lee, SY Philip
IEEE International Conference on Data Mining: Proceedings, 179, 2001   ·   01 Jan 2001   ·   8PCrLgwAAAAJ:lYbyOjaXH8MC
Collaborative learning for recommender systems
WS Lee
ICML 1, 314-321, 2001   ·   01 Jan 2001   ·   8PCrLgwAAAAJ:Tyk-4Ss8FVUC

2000

Compressing as well as the best tiling of an image
WS Lee
Information Theory, 2000. Proceedings. IEEE International Symposium on, 41, 2000   ·   01 Jan 2000   ·   8PCrLgwAAAAJ:NMxIlDl6LWMC
Trees, windows and tiles for wavelet image compression
WS Lee
Data Compression Conference, 2000. Proceedings. DCC 2000, 283-292, 2000   ·   01 Jan 2000   ·   8PCrLgwAAAAJ:RHpTSmoSYBkC
Tiling and adaptive image compression
WS Lee
IEEE Transactions on Information Theory 46 (5), 1789-1799, 2000   ·   01 Jan 2000   ·   8PCrLgwAAAAJ:mB3voiENLucC
Error concealment in video coding of arbitrarily shaped objects
MR Frater, WS Lee, M Pickering, JF Arnold
Signal Processing: Image Communication 15 (7), 631-641, 2000   ·   01 Jan 2000   ·   8PCrLgwAAAAJ:IWHjjKOFINEC
Online clustering for collaborative filtering
WS Lee
; TRA8/00, 2000   ·   01 Jan 2000   ·   8PCrLgwAAAAJ:Wp0gIr-vW9MC
A robust codec for transmission of very low bit-rate video over channels with bursty errors
WS Lee, MR Pickering, MR Frater, JF Arnold
IEEE Transactions on Circuits and Systems for Video Technology 10 (8), 1403-1412, 2000   ·   01 Jan 2000   ·   8PCrLgwAAAAJ:WF5omc3nYNoC

1999

Windowing versus Best Tiling for Wavelet Image Compression
WS Lee
[no publisher info]   ·   01 Jan 1999   ·   8PCrLgwAAAAJ:ns9cj8rnVeAC
Edge-adaptive prediction for lossless image coding
WS Lee
Data Compression Conference, 1999. Proceedings. DCC'99, 483-490, 1999   ·   01 Jan 1999   ·   8PCrLgwAAAAJ:MXK_kJrjxJIC

1998

A Mixture Model for Concealment of Lost Blocks in Coded Image and Video
WS Lee, MR Frater, MR Pickering, JF Arnold
[no publisher info]   ·   01 Jan 1998   ·   8PCrLgwAAAAJ:1sJd4Hv_s6UC
Concealment for video communications over error-prone channels
WS Lee, MR Pickering, MR Frater, JF Arnold
IEEE GLOBECOM 1998 (Cat. NO. 98CH36250) 2, 672-677, 1998   ·   01 Jan 1998   ·   8PCrLgwAAAAJ:EUQCXRtRnyEC
Spatial temporal concealment of lost blocks in coded video
WS Lee, MR Frater, MR Pickering, JE Arnold
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference …, 1998   ·   01 Jan 1998   ·   8PCrLgwAAAAJ:4JMBOYKVnBMC
Generalization in decision trees and DNF: Does size matter?
M Golea, P Bartlett, L Mason, WS Lee
Advances in Neural Information Processing Systems, 259-265, 1998   ·   01 Jan 1998   ·   8PCrLgwAAAAJ:0EnyYjriUFMC
The importance of convexity in learning with squared loss
WS Lee, PL Bartlett, RC Williamson
Information Theory, IEEE Transactions on 44 (5), 1974-1980, 1998   ·   01 Jan 1998   ·   8PCrLgwAAAAJ:UeHWp8X0CEIC
Boosting the margin: A new explanation for the effectiveness of voting methods
RE Schapire, Y Freund, P Bartlett, WS Lee
The annals of statistics 26 (5), 1651-1686, 1998   ·   01 Jan 1998   ·   8PCrLgwAAAAJ:u5HHmVD_uO8C

1997

Robustness of multiplexing protocols for audio-visual services over wireless networks
WS Lee, MR Frater, MR Pickering, JF Arnold
Proceedings of International Conference on Image Processing 3, 563-566, 1997   ·   01 Jan 1997   ·   8PCrLgwAAAAJ:xtRiw3GOFMkC
A diversity-based scheme for reducing error propagation in video
WS Lee, MR Frater, MR Pickering, JF Arnold
Proceedings of International Conference on Image Processing 3, 582-585, 1997   ·   01 Jan 1997   ·   8PCrLgwAAAAJ:nb7KW1ujOQ8C
Correction to “Lower bounds on VC-dimension of smoothly parameterized function classes”
WS Lee, PL Bartlett, RC Williamson
Neural computation 9 (4), 765-769, 1997   ·   01 Jan 1997   ·   8PCrLgwAAAAJ:-f6ydRqryjwC
Error resilience in video and multiplexing layers for very low bit-rate video coding systems
WS Lee, MR Pickering, MR Frater, JF Arnold
Selected Areas in Communications, IEEE Journal on 15 (9), 1764-1774, 1997   ·   01 Jan 1997   ·   8PCrLgwAAAAJ:eQOLeE2rZwMC

1996

Agnostic learning and single hidden layer neural networks
WS Lee
Australian National University, 1996   ·   01 Jan 1996   ·   8PCrLgwAAAAJ:L8Ckcad2t8MC
Efficient agnostic learning of neural networks with bounded fan-in
WS Lee, PL Bartlett, RC Williamson
Information Theory, IEEE Transactions on 42 (6), 2118-2132, 1996   ·   01 Jan 1996   ·   8PCrLgwAAAAJ:2osOgNQ5qMEC

1995

Lower bounds on the VC dimension of smoothly parameterized function classes
WS Lee, PL Bartlett, RC Williamson
Neural Computation 7 (5), 1040-1053, 1995   ·   01 Jan 1995   ·   8PCrLgwAAAAJ:4DMP91E08xMC
On efficient agnostic learning of linear combinations of basis functions
WS Lee, PL Bartlett, RC Williamson
Proceedings of the eighth annual conference on Computational learning theory …, 1995   ·   01 Jan 1995   ·   8PCrLgwAAAAJ:4TOpqqG69KYC

Understanding the Function of Web Elements Using Random Walk Models
X Yin, WS Lee
[no publisher info]   ·   [no date info]   ·   8PCrLgwAAAAJ:M05iB0D1s5AC
Co-training and Learning with Noise
WS Lee
[no publisher info]   ·   [no date info]   ·   8PCrLgwAAAAJ:4fKUyHm3Qg0C
POMDP-lite for Robust Robot Planning under Uncertainty
MCEFD Hsu, WS Lee
[no publisher info]   ·   [no date info]   ·   8PCrLgwAAAAJ:OkrdTXRNpVkC
Act to See and See to Act: Pregrasp Manipulation for Warehouse Grasping Automation
JK Li, WS Lee, D Hsu
[no publisher info]   ·   [no date info]   ·   8PCrLgwAAAAJ:f-E_jMG6T4AC
AFRL-AFOSR-JP-TR-2017-0043
WS Lee
[no publisher info]   ·   [no date info]   ·   8PCrLgwAAAAJ:D4n_APcuzvwC
ALanguage Modeling Approach to Passage Question Answering
D Zhang, WS Lee
[no publisher info]   ·   [no date info]   ·   8PCrLgwAAAAJ:dw5aoL0HVgwC
Act to see and see to act: Pomdp planning for objects search in clutter. In 2016 IEEE
JK Li, D Hsu, WS Lee
RSJ International Conference on Intelligent Robots and Systems (IROS), 5701-5707, 0   ·   [no date info]   ·   8PCrLgwAAAAJ:JQPmwQThujIC
Semi-Markov Conditional Random Field with High-Order Features
VC Nguyen, NUS EDU, N Ye, WS Lee, HL Chieu, ORG SG
[no publisher info]   ·   [no date info]   ·   8PCrLgwAAAAJ:blknAaTinKkC