Hsu, David

35 publications

CoRL 2025 MimicFunc: Imitating Tool Manipulation from a Single Human Video via Functional Correspondence Chao Tang, Anxing Xiao, Yuhong Deng, Tianrun Hu, Wenlong Dong, Hanbo Zhang, David Hsu, Hong Zhang

ICLR 2025 Neuralized Markov Random Field for Interaction-Aware Stochastic Human Trajectory Prediction Zilin Fang, David Hsu, Gim Hee Lee

CoRL 2025 Robot Operating Home Appliances by Reading User Manuals Jian Zhang, Hanbo Zhang, Anxing Xiao, David Hsu

CoRL 2025 “Stack It Up!”: 3D Stable Structure Generation from 2D Hand-Drawn Sketch Yiqing Xu, Linfeng Li, Cunjun Yu, David Hsu

ICLR 2023 DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu

NeurIPS 2023 Large Language Models as Commonsense Knowledge for Large-Scale Task Planning Zirui Zhao, Wee Sun Lee, David Hsu

NeurIPSW 2023 Large Language Models as Commonsense Knowledge for Large-Scale Task Planning Zirui Zhao, Wee Sun Lee, David Hsu

MIDL 2023 SZLoc: A Multi-Resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG Jeff Craley, Emily Johnson, Christophe Jouny, David Hsu, Raheel Ahmed, Archana Venkataraman

NeurIPS 2023 What Truly Matters in Trajectory Prediction for Autonomous Driving? Tran Phong, Haoran Wu, Cunjun Yu, Panpan Cai, Sifa Zheng, David Hsu

CoRL 2022 COACH: Cooperative Robot Teaching Cunjun Yu, Yiqing Xu, Linfeng Li, David Hsu

CoRL 2022 LEADER: Learning Attention over Driving Behaviors for Planning Under Uncertainty Mohamad Hosein Danesh, Panpan Cai, David Hsu

NeurIPS 2022 Receding Horizon Inverse Reinforcement Learning Yiqing Xu, Wei Gao, David Hsu

CVPR 2021 Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation Peter Karkus, Shaojun Cai, David Hsu

IJCAI 2021 Hindsight Trust Region Policy Optimization Hanbo Zhang, Site Bai, Xuguang Lan, David Hsu, Nanning Zheng

CoRL 2020 Contrastive Variational Reinforcement Learning for Complex Observations Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee

ICLR 2020 Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations Xiao Ma, Peter Karkus, David Hsu, Wee Sun Lee, Nan Ye

AAAI 2020 Particle Filter Recurrent Neural Networks Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee

IJCAI 2019 Trust Dynamics and Transfer Across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models Harold Soh, Pan Shu, Min Chen, David Hsu

CoRL 2018 Particle Filter Networks with Application to Visual Localization Péter Karkus, David Hsu, Wee Sun Lee

JAIR 2017 DESPOT: Online POMDP Planning with Regularization Nan Ye, Adhiraj Somani, David Hsu, Wee Sun Lee

CoRL 2017 Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian

NeurIPS 2017 QMDP-Net: Deep Learning for Planning Under Partial Observability Peter Karkus, David Hsu, Wee Sun Lee

UAI 2017 Shortest Path Under Uncertainty: Exploration Versus Exploitation Zhan Wei Lim, David Hsu, Wee Sun Lee

NeurIPS 2015 Adaptive Stochastic Optimization: From Sets to Paths Zhan Wei Lim, David Hsu, Wee Sun Lee

ICML 2014 Covering Number for Efficient Heuristic-Based POMDP Planning Zongzhang Zhang, David Hsu, Wee Sun Lee

NeurIPS 2013 DESPOT: Online POMDP Planning with Regularization Adhiraj Somani, Nan Ye, David Hsu, Wee Sun Lee

ICML 2012 Monte Carlo Bayesian Reinforcement Learning Yi Wang, Kok Sung Won, David Hsu, Wee Sun Lee

NeurIPS 2011 Monte Carlo Value Iteration with Macro-Actions Zhan Lim, Lee Sun, David Hsu

AAAI 2010 Structured Parameter Elicitation Li Ling Ko, David Hsu, Wee Sun Lee, Sylvie C. W. Ong

NeurIPS 2007 What Makes Some POMDP Problems Easy to Approximate? Wee S. Lee, Nan Rong, David Hsu

NeurIPS 2002 Adaptive Quantization and Density Estimation in Silicon David Hsu, Seth Bridges, Miguel Figueroa, Chris Diorio

NeurIPS 2002 Field-Programmable Learning Arrays Seth Bridges, Miguel Figueroa, Chris Diorio, David Hsu

NeurIPS 2001 Learning Spike-Based Correlations and Conditional Probabilities in Silicon Aaron P. Shon, David Hsu, Chris Diorio

ICCV 2001 Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar, James M. Rehg, David Hsu, Thomas Leung

NeurIPS 2000 A Silicon Primitive for Competitive Learning David Hsu, Miguel Figueroa, Chris Diorio