← Authors

Wee Sun Lee

54 papers · 2005–2025 · 18 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (20) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (18) πŸ—ΊοΈ Taxonomy Completionist (22) 🐝 Cross-Pollinator (13) 🀝 Dynamic Duo (19) πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”¬ Deep Specialist (13) 🧬 Topic Evolution πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (68) πŸ’Ž Century Club (54) ⚑ 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

David Hsu (19) Hwee Tou Ng (7) Mohammed Haroon Dupty (6) Zhen Zhang (6) Nan Ye (6) Ruidan He (5) Daniel Dahlmeier (5) Peter Karkus (5) Yee Whye Teh (4) Xiao Ma (4)

Research topics

Robotics (2)

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