Wee Sun Lee
54 papers · 2005–2025 · 18 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (22) π Renaissance Researcher (8) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Conference Polyglot
(18)
πΊοΈ
Taxonomy Completionist
(22)
π
Cross-Pollinator
(13)
π€
Dynamic Duo
(19)
π
Keyword Champion
(2)
π
Grand Slam
π¬
Deep Specialist
(13)
π§¬
Topic Evolution
π
Trend Setter
π
Conference Pioneer
ποΈ
Keyword Collector
(68)
π
Century Club
(54)
β‘
Prolific Year
(7)
Conferences
RSS (8)
NIPS (7)
ACL (6)
EMNLP (6)
ICLR (5)
ICML (4)
CORL (3)
JMLR (2)
CVPR (2)
ACML (2)
AAAI (2)
EACL (1)
ICCV (1)
CONLL (1)
COLING (1)
IJCAI (1)
AISTATS (1)
SEMEVAL (1)
Top co-authors
Research topics
Keywords
partially observable markov decision process
(7)
particle filter
(4)
state estimation
(3)
pomdp planning
(3)
planning under uncertainty
(3)
tree search
(3)
neural network
(3)
graph neural network
(3)
online planning
(3)
attention mechanism
(3)
belief tree
(2)
graphical model
(2)
sequence prediction
(2)
robot planning
(2)
value iteration
(2)
belief state
(2)
deep learning
(2)
named entity recognition
(2)
tensor decomposition
(2)
belief propagation
(2)
Papers
SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy
ICML 2025
Learning to Search from Demonstration Sequences
ICLR 2025
Continual Reinforcement Learning by Planning with Online World Models
ICML 2025
Constrained Layout Generation with Factor Graphs
CVPR 2024
When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models
ACL 2024
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning
ACML 2024
Locality Sensitive Sparse Encoding for Learning World Models Online
ICLR 2024
On the Empirical Complexity of Reasoning and Planning in LLMs
EMNLP 2024
Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents
EACL 2023
Tell2Design: A Dataset for Language-Guided Floor Plan Generation
ACL 2023
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning
NIPS 2023
Efficient Offline Policy Optimization with a Learned Model
ICLR 2023
Factor Graph Neural Networks
JMLR 2023
None Class Ranking Loss for Document-Level Relation Extraction
IJCAI 2022
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
ICLR 2022
Multiplicative Gaussian Particle Filter
AISTATS 2020
Factor Graph Neural Networks
NIPS 2020
Contrastive Variational Reinforcement Learning for Complex Observations
CORL 2020
Particle Filter Recurrent Neural Networks
AAAI 2020
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition
AAAI 2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations
ICLR 2020
Asian Conference on Machine Learning: Preface
ACML 2019
LeTS-Drive: Driving in a Crowd by Learning from Tree Search
RSS 2019
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
ACL 2019
DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces
RSS 2019
Differentiable Algorithm Networks for Composable Robot Learning
RSS 2019
Deep Graphical Feature Learning for the Feature Matching Problem
ICCV 2019
Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties
RSS 2018
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty
RSS 2018
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification
EMNLP 2018
Effective Attention Modeling for Aspect-Level Sentiment Classification
COLING 2018
Particle Filter Networks with Application to Visual Localization
CORL 2018
Convolutional Sequence to Sequence Model for Human Dynamics
CVPR 2018
Exploiting Document Knowledge for Aspect-level Sentiment Classification
ACL 2018
QMDP-Net: Deep Learning for Planning under Partial Observability
NIPS 2017
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
CORL 2017
An Unsupervised Neural Attention Model for Aspect Extraction
ACL 2017
Tensor Belief Propagation
ICML 2017
Adaptive Stochastic Optimization: From Sets to Paths
NIPS 2015
Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation
JMLR 2014
Covering Number for Efficient Heuristic-based POMDP Planning
ICML 2014
Integrated Perception and Planning in the Continuous Space: A POMDP Approach
RSS 2013
DESPOT: Online POMDP Planning with Regularization
NIPS 2013
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion
NIPS 2013
Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space
NIPS 2013
Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs
RSS 2011
Natural Language Generation with Tree Conditional Random Fields
EMNLP 2009
Domain adaptive bootstrapping for named entity recognition
EMNLP 2009
A Generative Model for Parsing Natural Language to Meaning Representations
EMNLP 2008
SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces
RSS 2008
Improving Word Sense Disambiguation Using Topic Features
EMNLP 2007
Improving Word Sense Disambiguation Using Topic Features
CONLL 2007
NUS-ML:Improving Word Sense Disambiguation Using Topic Features
SEMEVAL 2007
Learning Semantic Classes for Word Sense Disambiguation
ACL 2005