Wee Sun Lee

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 111

Top Venues

CoRR

ICRA

Robotics: Science and Systems

Int. J. Robotics Res.

Publications

Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee
PF-GNN: Differentiable particle filtering based approximation of universal graph representations. CoRR (2024)
Liwei Kang, Wee Sun Lee
Continual Learning of Numerous Tasks from Long-tail Distributions. CoRR (2024)
Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. KDD (2024)
Liwei Kang, Zirui Zhao, David Hsu, Wee Sun Lee
On the Empirical Complexity of Reasoning and Planning in LLMs. CoRR (2024)
Jiaxin Wang, Lingling Zhang, Wee Sun Lee, Yujie Zhong, Liwei Kang, Jun Liu
When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models. ACL (1) (2024)
Yanfei Dong, Lambert Deng, Jiazheng Zhang, Xiaodong Yu, Ting Lin, Francesco Gelli, Soujanya Poria, Wee Sun Lee
Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents. CoRR (2024)
Dixant Mittal, Wee Sun Lee
Differentiable Tree Search in Latent State Space. CoRR (2024)
Zichen Liu, Chao Du, Wee Sun Lee, Min Lin
Locality Sensitive Sparse Encoding for Learning World Models Online. ICLR (2024)
Zichen Liu, Chao Du, Wee Sun Lee, Min Lin
Locality Sensitive Sparse Encoding for Learning World Models Online. CoRR (2024)
Yanfei Dong, Mohammed Haroon Dupty, Lambert Deng, Zhuanghua Liu, Yong Liang Goh, Wee Sun Lee
Differentiable Cluster Graph Neural Network. CoRR (2024)
Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee
Constrained Layout Generation with Factor Graphs. CoRR (2024)
Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu
Efficient Offline Policy Optimization with a Learned Model. ICLR (2023)
Sicong Leng, Yang Zhou, Mohammed Haroon Dupty, Wee Sun Lee, Sam Joyce, Wei Lu
Tell2Design: A Dataset for Language-Guided Floor Plan Generation. ACL (1) (2023)
Zirui Zhao, Wee Sun Lee, David Hsu
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning. NeurIPS (2023)
Zirui Zhao, Wee Sun Lee, David Hsu
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning. CoRR (2023)
Yanfei Dong, Lambert Deng, Jiazheng Zhang, Xiaodong Yu, Ting Lin, Francesco Gelli, Soujanya Poria, Wee Sun Lee
Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents. EACL (Findings) (2023)
Zhen Zhang, Mohammed Haroon Dupty, Fan Wu, Javen Qinfeng Shi, Wee Sun Lee
Factor Graph Neural Networks. J. Mach. Learn. Res. 24 (2023)
Zhen Zhang, Mohammed Haroon Dupty, Fan Wu, Javen Qinfeng Shi, Wee Sun Lee
Factor Graph Neural Networks. CoRR (2023)
Zirui Zhao, Wee Sun Lee, David Hsu
Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement. ICRA (2023)
Sicong Leng, Yang Zhou, Mohammed Haroon Dupty, Wee Sun Lee, Sam Conrad Joyce, Wei Lu
Tell2Design: A Dataset for Language-Guided Floor Plan Generation. CoRR (2023)
Dixant Mittal, Siddharth Aravindan, Wee Sun Lee
ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search. AAMAS (2023)
Yang Zhou, Wee Sun Lee
None Class Ranking Loss for Document-Level Relation Extraction. IJCAI (2022)
Wei Gao, David Hsu, Wee Sun Lee
Context-Hierarchy Inverse Reinforcement Learning. CoRR (2022)
Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee
PF-GNN: Differentiable particle filtering based approximation of universal graph representations. ICLR (2022)
Zirui Zhao, Wee Sun Lee, David Hsu
Differentiable Parsing and Visual Grounding of Verbal Instructions for Object Placement. CoRR (2022)
Xiao Ma, David Hsu, Wee Sun Lee
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects. ICRA (2022)
Mohammed Haroon Dupty, Wee Sun Lee
Graph Representation Learning with Individualization and Refinement. CoRR (2022)
Yong Liang Goh, Wee Sun Lee, Xavier Bresson, Thomas Laurent, Nicholas Lim
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem. CoRR (2022)
Dixant Mittal, Siddharth Aravindan, Wee Sun Lee
ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search. CoRR (2022)
Yang Zhou, Wee Sun Lee
None Class Ranking Loss for Document-Level Relation Extraction. CoRR (2022)
Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu
Efficient Offline Policy Optimization with a Learned Model. CoRR (2022)
Xichu Ma, Ye Wang, Min-Yen Kan, Wee Sun Lee
AI-Lyricist: Generating Music and Vocabulary Constrained Lyrics. ACM Multimedia (2021)
Muhammad Rizki Maulana, Wee Sun Lee
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning. CoRR (2021)
Siddharth Aravindan, Wee Sun Lee
State-Aware Variational Thompson Sampling for Deep Q-Networks. AAMAS (2021)
Yujiao Hu, Zhen Zhang, Yuan Yao, Xingpeng Huyan, Xingshe Zhou, Wee Sun Lee
A bidirectional graph neural network for traveling salesman problems on arbitrary symmetric graphs. Eng. Appl. Artif. Intell. 97 (2021)
Muhammad Rizki Maulana, Wee Sun Lee
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning. ECML/PKDD (1) (2021)
Xiao Ma, David Hsu, Wee Sun Lee
Learning Latent Graph Dynamics for Deformable Object Manipulation. CoRR (2021)
Siddharth Aravindan, Wee Sun Lee
State-Aware Variational Thompson Sampling for Deep Q-Networks. CoRR (2021)
Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee
HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty. Int. J. Robotics Res. 40 (2-3) (2021)
Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng
Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. CIKM (2021)
Xuan Su, Wee Sun Lee, Zhen Zhang
Multiplicative Gaussian Particle Filter. AISTATS (2020)
Hieu Le Trung, Yiqing Xu, Wee Sun Lee
Factor Graph Molecule Network for Structure Elucidation. CoRR (2020)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations. CoRR (2020)
Kuangqi Zhou, Yanfei Dong, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng
Effective Training Strategies for Deep Graph Neural Networks. CoRR (2020)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. ICLR (2020)
Xuan Su, Wee Sun Lee, Zhen Zhang
Multiplicative Gaussian Particle Filter. CoRR (2020)
Yujiao Hu, Yuan Yao, Wee Sun Lee
A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs. Knowl. Based Syst. 204 (2020)
Zhen Zhang, Fan Wu, Wee Sun Lee
Factor Graph Neural Networks. NeurIPS (2020)
Mohammed Haroon Dupty, Zhen Zhang, Wee Sun Lee
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition. AAAI (2020)
Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee
Contrastive Variational Model-Based Reinforcement Learning for Complex Observations. CoRR (2020)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
Particle Filter Recurrent Neural Networks. AAAI (2020)
Mohammed Haroon Dupty, Wee Sun Lee
Neuralizing Efficient Higher-order Belief Propagation. CoRR (2020)
Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee
Contrastive Variational Reinforcement Learning for Complex Observations. CoRL (2020)
Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee
LeTS-Drive: Driving in a Crowd by Learning from Tree Search. Robotics: Science and Systems (2019)
Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee
Importance sampling for online planning under uncertainty. Int. J. Robotics Res. 38 (2-3) (2019)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
Particle Filter Recurrent Neural Networks. CoRR (2019)
Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
Differentiable Algorithm Networks for Composable Robot Learning. CoRR (2019)
Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. CoRR (2019)
Zhen Zhang, Fan Wu, Wee Sun Lee
Factor Graph Neural Network. CoRR (2019)
Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
Factored Contextual Policy Search with Bayesian Optimization. CoRR (2019)
Mohammed Haroon Dupty, Zhen Zhang, Wee Sun Lee
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition. CoRR (2019)
Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee
LeTS-Drive: Driving in a Crowd by Learning from Tree Search. CoRR (2019)
Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
Factored Contextual Policy Search with Bayesian optimization. ICRA (2019)
Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. ACL (1) (2019)
Zhen Zhang, Wee Sun Lee
Deep Graphical Feature Learning for the Feature Matching Problem. ICCV (2019)
Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
Differentiable Algorithm Networks for Composable Robot Learning. Robotics: Science and Systems (2019)
Neha P. Garg, David Hsu, Wee Sun Lee
Learning To Grasp Under Uncertainty Using POMDPs. ICRA (2019)
Neha Priyadarshini Garg, David Hsu, Wee Sun Lee
DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces. Robotics: Science and Systems (2019)
Péter Karkus, David Hsu, Wee Sun Lee
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation. CoRR (2018)
Jue Kun Li, Wee Sun Lee, David Hsu
Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties. Robotics: Science and Systems (2018)
Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. EMNLP (2018)
Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee
Convolutional Sequence to Sequence Model for Human Dynamics. CVPR (2018)
Min Chen, David Hsu, Wee Sun Lee
Guided Exploration of Human Intentions for Human-Robot Interaction. WAFR (2018)
Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha
Autonomous Driving among Many Pedestrians: Models and Algorithms. CoRR (2018)
Péter Karkus, David Hsu, Wee Sun Lee
Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations. CoRR (2018)
Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
Effective Attention Modeling for Aspect-Level Sentiment Classification. COLING (2018)
Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. Robotics: Science and Systems (2018)
Wee Sun Lee, Robert J. Durrant
Foreword: special issue for the journal track of the 9th Asian Conference on Machine Learning (ACML 2017). Mach. Learn. 107 (4) (2018)
Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
Exploiting Document Knowledge for Aspect-level Sentiment Classification. ACL (2) (2018)
Min Chen, David Hsu, Wee Sun Lee
Guided Exploration of Human Intentions for Human-Robot Interaction. CoRR (2018)
Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. CoRR (2018)
Péter Karkus, David Hsu, Wee Sun Lee
Particle Filter Networks with Application to Visual Localization. CoRL (2018)
Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. CoRR (2018)
Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha
PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians. IEEE Robotics Autom. Lett. 3 (4) (2018)
Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee
Convolutional Sequence to Sequence Model for Human Dynamics. CoRR (2018)
Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
Exploiting Document Knowledge for Aspect-level Sentiment Classification. CoRR (2018)
Péter Karkus, David Hsu, Wee Sun Lee
QMDP-Net: Deep Learning for Planning under Partial Observability. CoRR (2017)
Péter Karkus, David Hsu, Wee Sun Lee
QMDP-Net: Deep Learning for Planning under Partial Observability. NIPS (2017)
Zhan Wei Lim, David Hsu, Wee Sun Lee
Shortest Path under Uncertainty: Exploration versus Exploitation. UAI (2017)
Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. CoRL (2017)
Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. CoRR (2017)
Nan Ye, Adhiraj Somani, David Hsu, Wee Sun Lee
DESPOT: Online POMDP Planning with Regularization. J. Artif. Intell. Res. 58 (2017)
Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
An Unsupervised Neural Attention Model for Aspect Extraction. ACL (1) (2017)
Andrew Wrigley, Wee Sun Lee, Nan Ye
Tensor Belief Propagation. ICML (2017)
Jue Kun Li, David Hsu, Wee Sun Lee
Act to See and See to Act: POMDP planning for objects search in clutter. IROS (2016)
Min Chen, Emilio Frazzoli, David Hsu, Wee Sun Lee
POMDP-lite for robust robot planning under uncertainty. ICRA (2016)
Nguyen Viet Cuong, Nan Ye, Wee Sun Lee
Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification. AAAI (2016)
Zhan Wei Lim, David Hsu, Wee Sun Lee
Adaptive informative path planning in metric spaces. Int. J. Robotics Res. 35 (5) (2016)
Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
Learning Dynamic Robot-to-Human Object Handover from Human Feedback. CoRR (2016)
Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee
Importance Sampling for Online Planning under Uncertainty. WAFR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wee Sun Lee