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Wee Sun Lee

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

Achievements

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+13 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (22) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🌍 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)

Research topics

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