David Hsu - RankMe

276 papers A* 47A 8B 6C 20Misc 7Journal 131Unranked 53

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	10 Open Challenges Steering the Future of Vision-Language-Action Models. AAAI Soujanya Poria, Navonil Majumder, Chia-Yu Hung, Amir Ali Bagherzadeh, Chuan Li, Kenneth Kwok, Ziwei Wang, Cheston Tan, Jiajun Wu, David Hsu
2026	J	`jnl`	Differentiable Contact Dynamics for Stable Object Placement Under Geometric Uncertainties. IEEE Robotics Autom. Lett. Linfeng Li, Gang Yang, Lin Shao, David Hsu
2026	J	`jnl`	From Obstacles to Etiquette: Robot Social Navigation With VLM-Informed Path Selection. IEEE Robotics Autom. Lett. Zilin Fang, Anxing Xiao, David Hsu, Gim Hee Lee
2026	J	`jnl`	From Obstacles to Etiquette: Robot Social Navigation with VLM-Informed Path Selection. CoRR Zilin Fang, Anxing Xiao, David Hsu, Gim Hee Lee
2026	A*	`conf`	Navigation beyond Wayfinding: Robots Collaborating with Visually Impaired Users for Environmental Interactions. HRI Shaojun Cai, Nuwan Janaka, Ashwin Ram, Janidu Shehan, Yingjia Wan, Kotaro Hara, David Hsu
2026	J	`jnl`	Navigation beyond Wayfinding: Robots Collaborating with Visually Impaired Users for Environmental Interactions. CoRR Shaojun Cai, Nuwan Janaka, Ashwin Ram, Janidu Shehan, Yingjia Wan, Kotaro Hara, David Hsu
2026	J	`jnl`	SignLoc: Robust Localization Using Navigation Signs and Public Maps. IEEE Robotics Autom. Lett. Nicky Zimmerman, Joel Loo, Ayush Agrawal, David Hsu
2026	J	`jnl`	SignScene: Visual Sign Grounding for Mapless Navigation. CoRR Nicky Zimmerman, Joel Loo, Benjamin Koh, Zishuo Wang, David Hsu
2026	J	`jnl`	TeachingBot: Robot Teacher for Human Handwriting. IEEE Robotics Autom. Lett. Zhimin Hou, Cunjun Yu, David Hsu, Haoyong Yu
2025	J	`jnl`	"Set It Up": Functional Object Arrangement with Compositional Generative Models (Journal Version). CoRR Yiqing Xu, Jiayuan Mao, Linfeng Li, Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling, David Hsu
2025	J	`jnl`	"Stack It Up!": 3D Stable Structure Generation from 2D Hand-drawn Sketch. CoRR Yiqing Xu, Linfeng Li, Cunjun Yu, David Hsu
2025	J	`jnl`	10 Open Challenges Steering the Future of Vision-Language-Action Models. CoRR Soujanya Poria, Navonil Majumder, Chia-Yu Hung, Amir Ali Bagherzadeh, Chuan Li, Kenneth Kwok, Ziwei Wang, Cheston Tan, Jiajun Wu, David Hsu
2025	A*	`conf`	AiGet: Transforming Everyday Moments into Hidden Knowledge Discovery with AI Assistance on Smart Glasses. CHI Runze Cai, Nuwan Janaka, Hyeongcheol Kim, Yang Chen, Shengdong Zhao, Yun Huang, David Hsu
2025	J	`jnl`	AiGet: Transforming Everyday Moments into Hidden Knowledge Discovery with AI Assistance on Smart Glasses. CoRR Runze Cai, Nuwan Janaka, Hyeongcheol Kim, Yang Chen, Shengdong Zhao, Yun Huang, David Hsu
2025	J	`jnl`	Autonomous Mario Kart in the Wild: Lessons Learned From the Earth Rover Challenge at IROS 2024 [Competitions]. IEEE Robotics Autom. Mag. Xuesu Xiao, Jie Tan, Michael Cho, David Hsu, Dhruv Shah, Joanne Truong, Ted Xiao, Naoki Yokoyama, Wenhao Yu, Tingnan Zhang, Zhuo Xu, Santiago Pravisani, Niresh Dravin, Mohammad Alshamsi
2025	J	`jnl`	CLASP: General-Purpose Clothes Manipulation with Semantic Keypoints. CoRR Yuhong Deng, Chao Tang, Cunjun Yu, Linfeng Li, David Hsu
2025	J	`jnl`	CodeAgents: A Token-Efficient Framework for Codified Multi-Agent Reasoning in LLMs. CoRR Bruce Yang, Xinfeng He, Huan Gao, Yifan Cao, Xiaofan Li, David Hsu
2025	J	`jnl`	FUNCTO: Function-Centric One-Shot Imitation Learning for Tool Manipulation. CoRR Chao Tang, Anxing Xiao, Yuhong Deng, Tianrun Hu, Wenlong Dong, Hanbo Zhang, David Hsu, Hong Zhang
2025	J	`jnl`	Fare: Failure Resilience in Learned Visual Navigation Control. CoRR Zishuo Wang, Joel Loo, David Hsu
2025	A*	`conf`	General-Purpose Clothes Manipulation with Semantic Keypoints. ICRA Yuhong Deng, David Hsu
2025	J	`jnl`	Generative Adversarial Gumbel MCTS for Abstract Visual Composition Generation. CoRR Zirui Zhao, Boye Niu, David Hsu, Wee Sun Lee
2025	J	`jnl`	MimicFunc: Imitating Tool Manipulation from a Single Human Video via Functional Correspondence. CoRR Chao Tang, Anxing Xiao, Yuhong Deng, Tianrun Hu, Wenlong Dong, Hanbo Zhang, David Hsu, Hong Zhang
2025	A*	`conf`	Neuralized Markov Random Field for Interaction-Aware Stochastic Human Trajectory Prediction. ICLR Zilin Fang, David Hsu, Gim Hee Lee
2025	A	`conf`	On the Effective Horizon of Inverse Reinforcement Learning. AAMAS Yiqing Xu, Finale Doshi-Velez, David Hsu
2025	J	`jnl`	Open Scene Graphs for Open-World Object-Goal Navigation. CoRR Joel Loo, Zhanxin Wu, David Hsu
2025	—	`conf`	Optimal Motion Prediction for Human-to-Robot Handovers. ROBIO Maxime Sabbah, Krzysztof Wojciechowski, Harold Soh, David Hsu, Ludovic Righetti, Nicolas Mansard, Bruno Watier, Vincent Bonnet
2025	—	`conf`	Progressive Sentences: Combining the Benefits of Word and Sentence Learning. MobileHCI (Companion) Nuwan Janaka, Shengdong Zhao, Ashwin Ram, Ruoxin Sun, Sherisse Tan Jing Wen, Danae Li, David Hsu
2025	J	`jnl`	Progressive Sentences: Combining the Benefits of Word and Sentence Learning. CoRR Nuwan Janaka, Shengdong Zhao, Ashwin Ram, Ruoxin Sun, Sherisse Tan Jing Wen, Danae Li, David Hsu
2025	A*	`conf`	Robi Butler: Multimodal Remote Interaction with a Household Robot Assistant. ICRA Anxing Xiao, Nuwan Janaka, Tianrun Hu, Anshul Gupta, Kaixin Li, Cunjun Yu, David Hsu
2025	J	`jnl`	Robot Operation of Home Appliances by Reading User Manuals. CoRR Jian Zhang, Hanbo Zhang, Anxing Xiao, David Hsu
2025	J	`jnl`	Sign Language: Towards Sign Understanding for Robot Autonomy. CoRR Ayush Agrawal, Joel Loo, Nicky Zimmerman, David Hsu
2025	J	`jnl`	SignLoc: Robust Localization using Navigation Signs and Public Maps. CoRR Nicky Zimmerman, Joel Loo, Ayush Agrawal, David Hsu
2025	—	`conf`	Walk in Others' Shoes with a Single Glance: Human-Centric Visual Grounding with Top-View Perspective Transformation. ACL (1) Yuqi Bu, Xin Wu, Zirui Zhao, Yi Cai, David Hsu, Qiong Liu
2024	J	`jnl`	"Set It Up!": Functional Object Arrangement with Compositional Generative Models. CoRR Yiqing Xu, Jiayuan Mao, Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling, David Hsu
2024	—	`conf`	A Deep Learning Framework To Characterize Noisy Labels In Epileptogenic Zone Localization Using Functional Connectivity. ISBI Naresh Nandakumar, David Hsu, Raheel Ahmed, Archana Venkataraman
2024	—	`conf`	Demonstrating UbiComp Companion Nuwan Janaka, Shengdong Zhao, David Hsu, Sherisse Tan Jing Wen, Chun-Keat Koh
2024	—	`conf`	Demonstrating PANDALens: Enhancing Daily Activity Documentation with AI-assisted In-Context Writing on OHMD. CHI Extended Abstracts Nuwan Janaka, Runze Cai, Shengdong Zhao, David Hsu
2024	—	`conf`	Demonstrating PilotAR: A Tool to Assist Wizard-of-Oz Pilot Studies with OHMD. UbiComp Companion Nuwan Janaka, Runze Cai, Shengdong Zhao, David Hsu
2024	J	`jnl`	Demonstrating PilotAR: A Tool to Assist Wizard-of-Oz Pilot Studies with OHMD. CoRR Nuwan Janaka, Runze Cai, Shengdong Zhao, David Hsu
2024	—	`conf`	Demonstrating TOM: A Development Platform for Wearable Intelligent Assistants in Daily Activities. MobileHCI (Companion) Nuwan Janaka, Shengdong Zhao, David Hsu, Sherisse Tan Jing Wen, Chun-Keat Koh
2024	J	`jnl`	Differentiable Particles for General-Purpose Deformable Object Manipulation. CoRR Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, David Hsu
2024	J	`jnl`	General-purpose Clothes Manipulation with Semantic Keypoints. CoRR Yuhong Deng, David Hsu
2024	J	`jnl`	IntentionNet: Map-Lite Visual Navigation at the Kilometre Scale. CoRR Wei Gao, Bo Ai, Joel Loo, Vinay, David Hsu
2024	J	`jnl`	LLMs for Robotic Object Disambiguation. CoRR Connie Jiang, Yiqing Xu, David Hsu
2024	A*	`conf`	Navigating Real-World Challenges: A Quadruped Robot Guiding System for Visually Impaired People in Diverse Environments. CHI Shaojun Cai, Ashwin Ram, Zhengtai Gou, Mohd Alqama Wasim Shaikh, Yu-An Chen, Yingjia Wan, Kotaro Hara, Shengdong Zhao, David Hsu
2024	J	`jnl`	Neural Randomized Planning for Whole Body Robot Motion. CoRR Yunfan Lu, Yuchen Ma, David Hsu, Caicai Pan
2024	—	`conf`	On the Empirical Complexity of Reasoning and Planning in LLMs. EMNLP (Findings) Liwei Kang, Zirui Zhao, David Hsu, Wee Sun Lee
2024	J	`jnl`	On the Empirical Complexity of Reasoning and Planning in LLMs. CoRR Liwei Kang, Zirui Zhao, David Hsu, Wee Sun Lee
2024	J	`jnl`	Open Scene Graphs for Open World Object-Goal Navigation. CoRR Joel Loo, Zhanxin Wu, David Hsu
2024	J	`jnl`	Robi Butler: Remote Multimodal Interactions with Household Robot Assistant. CoRR Anxing Xiao, Nuwan Janaka, Tianrun Hu, Anshul Gupta, Kaixin Li, Cunjun Yu, David Hsu
2024	A*	`conf`	Scene Action Maps: Behavioural Maps for Navigation without Metric Information. ICRA Joel Loo, David Hsu
2024	J	`jnl`	Scene Action Maps: Behavioural Maps for Navigation without Metric Information. CoRR Joel Loo, David Hsu
2024	—	`conf`	Set It Up!: Functional Object Arrangement with Compositional Generative Models. Robotics: Science and Systems Yiqing Xu, Jiayuan Mao, Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling, David Hsu
2024	J	`jnl`	Stable Object Placement Under Geometric Uncertainty via Differentiable Contact Dynamics. CoRR Linfeng Li, Gang Yang, Lin Shao, David Hsu
2024	—	`conf`	TOM: A Development Platform For Wearable Intelligent Assistants. UbiComp Companion Nuwan Janaka, Shengdong Zhao, David Hsu, Sherisse Tan Jing Wen, Chun-Keat Koh
2024	J	`jnl`	TOM: A Development Platform For Wearable Intelligent Assistants. CoRR Nuwan Janaka, Shengdong Zhao, David Hsu, Sherisse Tan Jing Wen, Chun-Keat Koh
2023	—	`conf`	A Deep Learning Framework to Localize the Epileptogenic Zone from Dynamic Functional Connectivity Using a Combined Graph Convolutional and Transformer Network. ISBI Naresh Nandakumar, David Hsu, Raheel Ahmed, Archana Venkataraman
2023	J	`jnl`	COACH: Cooperative Robot Teaching. CoRR Cunjun Yu, Yiqing Xu, Linfeng Li, David Hsu
2023	J	`jnl`	Closing the Planning-Learning Loop With Application to Autonomous Driving. IEEE Trans. Robotics Panpan Cai, David Hsu
2023	A*	`conf`	DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics. ICLR Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu
2023	J	`jnl`	DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity. IEEE Trans. Biomed. Eng. Naresh Nandakumar, David Hsu, Raheel Ahmed, Archana Venkataraman
2023	A*	`conf`	Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement. ICRA Zirui Zhao, Wee Sun Lee, David Hsu
2023	J	`jnl`	How to Tidy Up a Table: Fusing Visual and Semantic Commonsense Reasoning for Robotic Tasks with Vague Objectives. CoRR Yiqing Xu, David Hsu
2023	—	`conf`	Invariance is Key to Generalization: Examining the Role of Representation in Sim-to-Real Transfer for Visual Navigation. ISER Bo Ai, Zhanxin Wu, David Hsu
2023	J	`jnl`	Invariance is Key to Generalization: Examining the Role of Representation in Sim-to-Real Transfer for Visual Navigation. CoRR Bo Ai, Zhanxin Wu, David Hsu
2023	J	`jnl`	LLM-State: Expandable State Representation for Long-horizon Task Planning in the Open World. CoRR Siwei Chen, Anxing Xiao, David Hsu
2023	A*	`conf`	Large Language Models as Commonsense Knowledge for Large-Scale Task Planning. NeurIPS Zirui Zhao, Wee Sun Lee, David Hsu
2023	J	`jnl`	Large Language Models as Commonsense Knowledge for Large-Scale Task Planning. CoRR Zirui Zhao, Wee Sun Lee, David Hsu
2023	J	`jnl`	On the Effective Horizon of Inverse Reinforcement Learning. CoRR Yiqing Xu, Finale Doshi-Velez, David Hsu
2023	J	`jnl`	Partially Observable Markov Decision Processes in Robotics: A Survey. IEEE Trans. Robotics Mikko Lauri, David Hsu, Joni Pajarinen
2023	J	`jnl`	TeachingBot: Robot Teacher for Human Handwriting. CoRR Zhimin Hou, Cunjun Yu, David Hsu, Haoyong Yu
2023	J	`jnl`	The Planner Optimization Problem: Formulations and Frameworks. CoRR Yiyuan Lee, Katie Lee, Panpan Cai, David Hsu, Lydia E. Kavraki
2023	A*	`conf`	What Truly Matters in Trajectory Prediction for Autonomous Driving? NeurIPS Tran Phong, Haoran Wu, Cunjun Yu, Panpan Cai, Sifa Zheng, David Hsu
2023	J	`jnl`	What Truly Matters in Trajectory Prediction for Autonomous Driving? CoRR Haoran Wu, Tran Phong, Cunjun Yu, Panpan Cai, Sifa Zheng, David Hsu
2022	J	`jnl`	Benchmarking Deformable Object Manipulation with Differentiable Physics. CoRR Siwei Chen, Cunjun Yu, Yiqing Xu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu
2022	Misc	`conf`	COACH: Cooperative Robot Teaching. CoRL Cunjun Yu, Yiqing Xu, Linfeng Li, David Hsu
2022	J	`jnl`	Context-Hierarchy Inverse Reinforcement Learning. CoRR Wei Gao, David Hsu, Wee Sun Lee
2022	A*	`conf`	Deep Visual Navigation under Partial Observability. ICRA Bo Ai, Wei Gao, Vinay, David Hsu
2022	J	`jnl`	Differentiable Parsing and Visual Grounding of Verbal Instructions for Object Placement. CoRR Zirui Zhao, Wee Sun Lee, David Hsu
2022	J	`jnl`	GAMMA: A General Agent Motion Model for Autonomous Driving. IEEE Robotics Autom. Lett. Yuanfu Luo, Panpan Cai, Yiyuan Lee, David Hsu
2022	Misc	`conf`	LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty. CoRL Mohamad Hosein Danesh, Panpan Cai, David Hsu
2022	J	`jnl`	LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty. CoRR Mohamad H. Danesh, Panpan Cai, David Hsu
2022	A*	`conf`	Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects. ICRA Xiao Ma, David Hsu, Wee Sun Lee
2022	J	`jnl`	Partially Observable Markov Decision Processes in Robotics: A Survey. CoRR Mikko Lauri, David Hsu, Joni Pajarinen
2022	A*	`conf`	Receding Horizon Inverse Reinforcement Learning. NeurIPS Yiqing Xu, Wei Gao, David Hsu
2022	J	`jnl`	Receding Horizon Inverse Reinforcement Learning. CoRR Yiqing Xu, Wei Gao, David Hsu
2022	—	`conf`	SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG. MIDL Jeff Craley, Emily Johnson, Christophe Jouny, David Hsu, Raheel Ahmed, Archana Venkataraman
2021	—	`conf`	Ab Initio Particle-based Object Manipulation. Robotics: Science and Systems Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu
2021	J	`jnl`	Ab Initio Particle-based Object Manipulation. CoRR Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu
2021	J	`jnl`	Closing the Planning-Learning Loop with Application to Autonomous Driving in a Crowd. CoRR Panpan Cai, David Hsu
2021	Misc	`ed.`	Conference on Robot Learning, 8-11 November 2021, London, UK. CoRL Aleksandra Faust, David Hsu, Gerhard Neumann
2021	Misc	`conf`	Cross-site Epileptic Seizure Detection Using Convolutional Neural Networks. CISS Danielle Currey, David Hsu, Raheel Ahmed, Archana Venkataraman, Jeff Craley
2021	A*	`conf`	Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation. CVPR Péter Karkus, Shaojun Cai, David Hsu
2021	J	`jnl`	Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation. CoRR Péter Karkus, Shaojun Cai, David Hsu
2021	J	`jnl`	End-to-End Partially Observable Visual Navigation in a Diverse Environment. CoRR Bo Ai, Wei Gao, Vinay, David Hsu
2021	A*	`conf`	Hindsight Trust Region Policy Optimization. IJCAI Hanbo Zhang, Site Bai, Xuguang Lan, David Hsu, Nanning Zheng
2021	J	`jnl`	HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty. Int. J. Robotics Res. Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee
2021	—	`conf`	INVIGORATE: Interactive Visual Grounding and Grasping in Clutter. Robotics: Science and Systems Hanbo Zhang, Yunfan Lu, Cunjun Yu, David Hsu, Xuguang Lan, Nanning Zheng
2021	J	`jnl`	INVIGORATE: Interactive Visual Grounding and Grasping in Clutter. CoRR Hanbo Zhang, Yunfan Lu, Cunjun Yu, David Hsu, Xuguang Lan, Nanning Zheng
2021	A*	`conf`	Interactive Planning for Autonomous Urban Driving in Adversarial Scenarios. ICRA Yuanfu Luo, Malika Meghjani, Qi Heng Ho, David Hsu, Daniela Rus
2021	J	`jnl`	Learning Latent Graph Dynamics for Deformable Object Manipulation. CoRR Xiao Ma, David Hsu, Wee Sun Lee
2021	—	`conf`	MAGIC: Learning Macro-Actions for Online POMDP Planning. Robotics: Science and Systems Yiyuan Lee, Panpan Cai, David Hsu
2020	J	`jnl`	Contrastive Variational Model-Based Reinforcement Learning for Complex Observations. CoRR Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee
2020	Misc	`conf`	Contrastive Variational Reinforcement Learning for Complex Observations. CoRL Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee
2020	J	`jnl`	Deep Learning and Machine Learning in Robotics [From the Guest Editors]. IEEE Robotics Autom. Mag. Fabio Bonsignorio, David Hsu, Matthew Johnson-Roberson, Jens Kober
2020	J	`jnl`	DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space. CoRR Siwei Chen, Xiao Ma, David Hsu
2020	J	`jnl`	Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations. CoRR Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
2020	A*	`conf`	Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. ICLR Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
2020	J	`jnl`	INGRESS: Interactive visual grounding of referring expressions. Int. J. Robotics Res. Mohit Shridhar, Dixant Mittal, David Hsu
2020	J	`jnl`	MAGIC: Learning Macro-Actions for Online POMDP Planning using Generator-Critic. CoRR Yiyuan Lee, Panpan Cai, David Hsu
2020	J	`jnl`	Multi-task trust transfer for human-robot interaction. Int. J. Robotics Res. Harold Soh, Yaqi Xie, Min Chen, David Hsu
2020	A*	`conf`	Particle Filter Recurrent Neural Networks. AAAI Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
2020	A*	`conf`	SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic. ICRA Panpan Cai, Yiyuan Lee, Yuanfu Luo, David Hsu
2020	J	`jnl`	Simulating Autonomous Driving in Massive Mixed Urban Traffic. CoRR Yuanfu Luo, Panpan Cai, Yiyuan Lee, David Hsu
2020	J	`jnl`	Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning. ACM Trans. Hum. Robot Interact. Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa
2019	A	`conf`	Context and Intention Aware Planning for Urban Driving. IROS Malika Meghjani, Yuanfu Luo, Qi Heng Ho, Panpan Cai, Shashwat Verma, Daniela Rus, David Hsu
2019	—	`conf`	DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces. Robotics: Science and Systems Neha Priyadarshini Garg, David Hsu, Wee Sun Lee
2019	—	`conf`	Differentiable Algorithm Networks for Composable Robot Learning. Robotics: Science and Systems Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
2019	J	`jnl`	Differentiable Algorithm Networks for Composable Robot Learning. CoRR Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
2019	J	`jnl`	Factored Contextual Policy Search with Bayesian Optimization. CoRR Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2019	A*	`conf`	Factored Contextual Policy Search with Bayesian optimization. ICRA Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2019	J	`jnl`	Importance sampling for online planning under uncertainty. Int. J. Robotics Res. Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee
2019	—	`conf`	LeTS-Drive: Driving in a Crowd by Learning from Tree Search. Robotics: Science and Systems Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee
2019	J	`jnl`	LeTS-Drive: Driving in a Crowd by Learning from Tree Search. CoRR Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee
2019	A*	`conf`	Learning To Grasp Under Uncertainty Using POMDPs. ICRA Neha P. Garg, David Hsu, Wee Sun Lee
2019	J	`jnl`	Particle Filter Recurrent Neural Networks. CoRR Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
2019	A*	`conf`	Robot Capability and Intention in Trust-Based Decisions Across Tasks. HRI Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh
2019	J	`jnl`	Robot Capability and Intention in Trust-based Decisions across Tasks. CoRR Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh
2019	J	`jnl`	SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic. CoRR Panpan Cai, Yiyuan Lee, Yuanfu Luo, David Hsu
2019	A*	`conf`	Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models. IJCAI Harold Soh, Pan Shu, Min Chen, David Hsu
2018	J	`jnl`	Autonomous Driving among Many Pedestrians: Models and Algorithms. CoRR Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha
2018	C	`conf`	Guided Exploration of Human Intentions for Human-Robot Interaction. WAFR Min Chen, David Hsu, Wee Sun Lee
2018	J	`jnl`	Guided Exploration of Human Intentions for Human-Robot Interaction. CoRR Min Chen, David Hsu, Wee Sun Lee
2018	—	`conf`	Human Trust in Robot Capabilities across Tasks. HRI (Companion) Pan Shu, Min Chen, Indu P. Bodala, Stefanos Nikolaidis, David Hsu, Harold Soh
2018	—	`conf`	HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. Robotics: Science and Systems Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee
2018	J	`jnl`	HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. CoRR Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee
2018	J	`jnl`	Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation. CoRR Péter Karkus, David Hsu, Wee Sun Lee
2018	—	`conf`	Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction. Robotics: Science and Systems Mohit Shridhar, David Hsu
2018	J	`jnl`	Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction. CoRR Mohit Shridhar, David Hsu
2018	J	`jnl`	PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians. IEEE Robotics Autom. Lett. Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha
2018	Misc	`conf`	Particle Filter Networks with Application to Visual Localization. CoRL Péter Karkus, David Hsu, Wee Sun Lee
2018	J	`jnl`	Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations. CoRR Péter Karkus, David Hsu, Wee Sun Lee
2018	A*	`conf`	Planning with Trust for Human-Robot Collaboration. HRI Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa
2018	J	`jnl`	Planning with Trust for Human-Robot Collaboration. CoRR Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa
2018	—	`conf`	Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties. Robotics: Science and Systems Jue Kun Li, Wee Sun Lee, David Hsu
2018	A*	`conf`	Solving the Perspective-2-Point Problem for Flying-Camera Photo Composition. CVPR Ziquan Lan, David Hsu, Gim Hee Lee
2018	—	`conf`	The Transfer of Human Trust in Robot Capabilities across Tasks. Robotics: Science and Systems Harold Soh, Pan Shu, Min Chen, David Hsu
2018	J	`jnl`	The Transfer of Human Trust in Robot Capabilities across Tasks. CoRR Harold Soh, Pan Shu, Min Chen, David Hsu
2017	J	`jnl`	DESPOT: Online POMDP Planning with Regularization. J. Artif. Intell. Res. Nan Ye, Adhiraj Somani, David Hsu, Wee Sun Lee
2017	J	`jnl`	Grounding Spatio-Semantic Referring Expressions for Human-Robot Interaction. CoRR Mohit Shridhar, David Hsu
2017	A*	`conf`	Human-Robot Mutual Adaptation in Shared Autonomy. HRI Stefanos Nikolaidis, Yu Xiang Zhu, David Hsu, Siddhartha S. Srinivasa
2017	J	`jnl`	Human-Robot Mutual Adaptation in Shared Autonomy. CoRR Stefanos Nikolaidis, Yu Xiang Zhu, David Hsu, Siddhartha S. Srinivasa
2017	J	`jnl`	Human-robot mutual adaptation in collaborative tasks: Models and experiments. Int. J. Robotics Res. Stefanos Nikolaidis, David Hsu, Siddhartha S. Srinivasa
2017	Misc	`conf`	Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. CoRL Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian
2017	J	`jnl`	Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. CoRR Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian
2017	J	`jnl`	Mathematical Models of Adaptation in Human-Robot Collaboration. CoRR Stefanos Nikolaidis, Jodi Forlizzi, David Hsu, Julie A. Shah, Siddhartha S. Srinivasa
2017	—	`conf`	QMDP-Net: Deep Learning for Planning under Partial Observability. NIPS Péter Karkus, David Hsu, Wee Sun Lee
2017	J	`jnl`	QMDP-Net: Deep Learning for Planning under Partial Observability. CoRR Péter Karkus, David Hsu, Wee Sun Lee
2017	A	`conf`	Shortest Path under Uncertainty: Exploration versus Exploitation. UAI Zhan Wei Lim, David Hsu, Wee Sun Lee
2017	C	`conf`	Supermodular mean squared error minimization for sensor scheduling in optimal Kalman Filtering. ACC Prince Singh, Min Chen, Luca Carlone, Sertac Karaman, Emilio Frazzoli, David Hsu
2017	—	`conf`	XPose: Reinventing User Interaction with Flying Cameras. Robotics: Science and Systems Ziquan Lan, Mohit Shridhar, David Hsu, Shengdong Zhao
2016	A	`conf`	Act to See and See to Act: POMDP planning for objects search in clutter. IROS Jue Kun Li, David Hsu, Wee Sun Lee
2016	J	`jnl`	Adaptive informative path planning in metric spaces. Int. J. Robotics Res. Zhan Wei Lim, David Hsu, Wee Sun Lee
2016	C	`conf`	Configuration Lattices for Planar Contact Manipulation Under Uncertainty. WAFR Michael C. Koval, David Hsu, Nancy S. Pollard, Siddhartha S. Srinivasa
2016	J	`jnl`	Configuration Lattices for Planar Contact Manipulation Under Uncertainty. CoRR Michael C. Koval, David Hsu, Nancy S. Pollard, Siddhartha S. Srinivasa
2016	J	`jnl`	DESPOT: Online POMDP Planning with Regularization. CoRR Nan Ye, Adhiraj Somani, David Hsu, Wee Sun Lee
2016	J	`jnl`	Factored Contextual Policy Search with Bayesian Optimization. CoRR Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2016	A*	`conf`	Formalizing Human-Robot Mutual Adaptation: A Bounded Memory Model. HRI Stefanos Nikolaidis, Anton Kuznetsov, David Hsu, Siddhartha S. Srinivasa
2016	C	`conf`	Importance Sampling for Online Planning under Uncertainty. WAFR Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee
2016	J	`jnl`	Learning Dynamic Robot-to-Human Object Handover from Human Feedback. CoRR Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2016	J	`jnl`	POMDP-lite for Robust Robot Planning under Uncertainty. CoRR Min Chen, Emilio Frazzoli, David Hsu, Wee Sun Lee
2016	A*	`conf`	POMDP-lite for robust robot planning under uncertainty. ICRA Min Chen, Emilio Frazzoli, David Hsu, Wee Sun Lee
2016	—	`ed.`	Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18 - June 22, 2016 Robotics: Science and Systems David Hsu, Nancy M. Amato, Spring Berman, Sam Ade Jacobs
2016	B	`conf`	Robots in Harmony with Humans. HAI David Hsu
2016	J	`jnl`	Special Issue on the 2015 Robotics: Science & Systems Conference. Int. J. Robotics Res. José Neira, Dongjun Lee, David Hsu
2015	—	`conf`	Adaptive Stochastic Optimization: From Sets to Paths. NIPS Zhan Wei Lim, David Hsu, Wee Sun Lee
2015	A*	`conf`	Intention-aware online POMDP planning for autonomous driving in a crowd. ICRA Haoyu Bai, Shaojun Cai, Nan Ye, David Hsu, Wee Sun Lee
2015	—	`conf`	Learning Dynamic Robot-to-Human Object Handover from Human Feedback. ISRR (1) Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2015	A*	`conf`	PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. ICAPS Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai
2015	B	`conf`	PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. SOCS Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai
2015	A	`conf`	POMDP to the Rescue: Boosting Performance for Robocup Rescue. IROS Kegui Wu, Wee Sun Lee, David Hsu
2015	—	`ed.`	Robotics: Science and Systems XI, Sapienza University of Rome, Rome, Italy, July 13-17, 2015 Robotics: Science and Systems Lydia E. Kavraki, David Hsu, Jonas Buchli
2015	C	`conf`	Synthetical Benchmarking of Service Robots: A First Effort on Domestic Mobile Platforms. RoboCup Min Cheng, Xiaoping Chen, Keke Tang, Feng Wu, Andras Gabor Kupcsik, Luca Iocchi, Yingfeng Chen, David Hsu
2015	A	`conf`	Towards autonomous navigation of unsignalized intersections under uncertainty of human driver intent. IROS Volkan Sezer, Tirthankar Bandyopadhyay, Daniela Rus, Emilio Frazzoli, David Hsu
2014	C	`conf`	Adaptive Informative Path Planning in Metric Spaces. WAFR Zhan Wei Lim, David Hsu, Wee Sun Lee
2014	J	`jnl`	Characterization of structural variants with single molecule and hybrid sequencing approaches. Bioinform. Anna M. Ritz, Ali Bashir, Suzanne S. Sindi, David Hsu, Iman Hajirasouliha, Benjamin J. Raphael
2014	A*	`conf`	Covering Number for Efficient Heuristic-based POMDP Planning. ICML Zongzhang Zhang, David Hsu, Wee Sun Lee
2014	J	`jnl`	Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach. ACM Trans. Multim. Comput. Commun. Appl. Xinxi Wang, Yi Wang, David Hsu, Ye Wang
2014	J	`jnl`	Integrated perception and planning in the continuous space: A POMDP approach. Int. J. Robotics Res. Haoyu Bai, David Hsu, Wee Sun Lee
2013	—	`conf`	DESPOT: Online POMDP Planning with Regularization. NIPS Adhiraj Somani, Nan Ye, David Hsu, Wee Sun Lee
2013	J	`jnl`	Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach. CoRR Xinxi Wang, Yi Wang, David Hsu, Ye Wang
2013	—	`conf`	Integrated Perception and Planning in the Continuous Space: A POMDP Approach. Robotics: Science and Systems Haoyu Bai, David Hsu, Wee Sun Lee
2013	A*	`conf`	Planning how to learn. ICRA Haoyu Bai, David Hsu, Wee Sun Lee
2013	—	`ed.`	Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24 - June 28, 2013 Robotics: Science and Systems Paul Newman, Dieter Fox, David Hsu
2013	C	`conf`	Sampling-based algorithms for continuous-time POMDPs. ACC Pratik Chaudhari, Sertac Karaman, David Hsu, Emilio Frazzoli
2013	—	`conf`	Statistical Model Checking Based Calibration and Analysis of Bio-pathway Models. CMSB Sucheendra K. Palaniappan, Benjamin M. Gyori, Bing Liu, David Hsu, P. S. Thiagarajan
2012	A	`conf`	Autonomy for mobility on demand. IROS Z. J. Chong, Baoxing Qin, Tirthankar Bandyopadhyay, Tichakorn Wongpiromsarn, Brice Rebsamen, P. Dai, S. Kim, Marcelo H. Ang, David Hsu, Daniela Rus, Emilio Frazzoli
2012	J	`jnl`	CAPIR: Collaborative Action Planning with Intention Recognition CoRR Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant
2012	C	`conf`	Intention-Aware Motion Planning. WAFR Tirthankar Bandyopadhyay, Kok Sung Won, Emilio Frazzoli, David Hsu, Wee Sun Lee, Daniela Rus
2012	—	`conf`	Intention-Aware Pedestrian Avoidance. ISER Tirthankar Bandyopadhyay, Zhuang Jie Chong, David Hsu, Marcelo H. Ang Jr., Daniela Rus, Emilio Frazzoli
2012	A*	`conf`	Monte Carlo Bayesian Reinforcement Learning. ICML Yi Wang, Kok Sung Won, David Hsu, Wee Sun Lee
2012	J	`jnl`	Special Issue on the Ninth International Workshop on Algorithmic Foundations of Robotics (WAFR). Int. J. Robotics Res. David Hsu, Volkan Isler, Jean-Claude Latombe, Ming C. Lin
2011	J	`jnl`	A Computational and Experimental Study of the Regulatory Mechanisms of the Complement System. PLoS Comput. Biol. Bing Liu, Jing Zhang, Pei Yi Tan, David Hsu, Anna M. Blom, Benjamin Leong, Sunil Sethi, Bow Ho, Jeak Ling Ding, P. S. Thiagarajan
2011	C	`ed.`	Algorithmic Foundations of Robotics IX - Selected Contributions of the Ninth International Workshop on the Algorithmic Foundations of Robotics, WAFR 2010, Singapore, December 13-15, 2010 WAFR David Hsu, Volkan Isler, Jean-Claude Latombe, Ming C. Lin
2011	—	`conf`	CAPIR: Collaborative Action Planning with Intention Recognition. AIIDE Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant
2011	J	`jnl`	Component-based construction of bio-pathway models: The parameter estimation problem. Theor. Comput. Sci. Geoffrey Koh, David Hsu, P. S. Thiagarajan
2011	—	`conf`	Monte Carlo Value Iteration with Macro-Actions. NIPS Zhan Wei Lim, David Hsu, Wee Sun Lee
2011	J	`jnl`	Motion planning under uncertainty for robotic tasks with long time horizons. Int. J. Robotics Res. Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Lee
2011	J	`jnl`	Probabilistic approximations of ODEs based bio-pathway dynamics. Theor. Comput. Sci. Bing Liu, David Hsu, P. S. Thiagarajan
2011	—	`conf`	Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs. Robotics: Science and Systems Haoyu Bai, David Hsu, Mykel J. Kochenderfer, Wee Sun Lee
2010	B	`conf`	Incremental Signaling Pathway Modeling by Data Integration. RECOMB Geoffrey Koh, David Hsu, P. S. Thiagarajan
2010	J	`jnl`	Markov dynamic models for long-timescale protein motion. Bioinform. Tsung-Han Chiang, David Hsu, Jean-Claude Latombe
2010	C	`conf`	Monte Carlo Value Iteration for Continuous-State POMDPs. WAFR Haoyu Bai, David Hsu, Wee Sun Lee, Ngo Anh Vien
2010	J	`jnl`	Planning under Uncertainty for Robotic Tasks with Mixed Observability. Int. J. Robotics Res. Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun Lee
2010	A*	`conf`	Structured Parameter Elicitation. AAAI Li Ling Ko, David Hsu, Wee Sun Lee, Sylvie C. W. Ong
2009	C	`conf`	Motion Planning under Uncertainty for Robotic Tasks with Long Time Horizons. ISRR Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Lee
2009	—	`conf`	POMDPs for robotic tasks with mixed observability. Robotics: Science and Systems Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun Lee
2009	—	`conf`	Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction. HCI (7) Sylvie C. W. Ong, David Hsu, Wee Sun Lee, Hanna Kurniawati
2009	—	`conf`	Probabilistic Approximations of Signaling Pathway Dynamics. CMSB Bing Liu, P. S. Thiagarajan, David Hsu
2008	A*	`conf`	A point-based POMDP planner for target tracking. ICRA David Hsu, Wee Sun Lee, Nan Rong
2008	C	`conf`	Bounded Uncertainty Roadmaps for Path Planning. WAFR Leonidas J. Guibas, David Hsu, Hanna Kurniawati, Ehsan Rehman
2008	—	`conf`	Motion Strategies for People Tracking in Cluttered and Dynamic Environments. ISER Tirthankar Bandyopadhyay, David Hsu, Marcelo H. Ang
2008	J	`jnl`	Protein Conformational Flexibility Analysis with Noisy Data. J. Comput. Biol. Anshul Nigham, David Hsu
2008	—	`conf`	SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces. Robotics: Science and Systems Hanna Kurniawati, David Hsu, Wee Sun Lee
2008	J	`jnl`	pFlexAna: detecting conformational changes in remotely related proteins. Nucleic Acids Res. Anshul Nigham, Lisa Tucker-Kellogg, Ivana Mihalek, Chandra Verma, David Hsu
2007	C	`conf`	Composing Globally Consistent Pathway Parameter Estimates Through Belief Propagation. WABI Geoffrey Koh, Lisa Tucker-Kellogg, David Hsu, P. S. Thiagarajan
2007	C	`conf`	Motion Planning for 3-D Target Tracking among Obstacles. ISRR Tirthankar Bandyopadhyay, Marcelo H. Ang, David Hsu
2007	B	`conf`	Protein Conformational Flexibility Analysis with Noisy Data. RECOMB Anshul Nigham, David Hsu
2007	J	`jnl`	Using Stochastic Roadmap Simulation to Predict Experimental Quantities in Protein Folding Kinetics: Folding Rates and Phi-Values. J. Comput. Biol. Tsung-Han Chiang, Mehmet Serkan Apaydin, Douglas L. Brutlag, David Hsu, Jean-Claude Latombe
2007	—	`conf`	What makes some POMDP problems easy to approximate? NIPS David Hsu, Wee Sun Lee, Nan Rong
2006	A*	`conf`	A Greedy Strategy for Tracking a Locally Predictable Target among Obstacles. ICRA Tirthankar Bandyopadhyay, Yuanping Li, Marcelo H. Ang Jr., David Hsu
2006	—	`conf`	A decompositional approach to parameter estimation in pathway modeling: a case study of the Akt and MAPK pathways and their crosstalk. ISMB (Supplement of Bioinformatics) Geoffrey Koh, Huey Fern Carol Teong, Marie-Véronique Clément, David Hsu, P. S. Thiagarajan
2006	A*	`conf`	Multi-level Free-space Dilation for Sampling narrow Passages in PRM Planning. ICRA David Hsu, Gildardo Sánchez-Ante, Ho-Lun Cheng, Jean-Claude Latombe
2006	J	`jnl`	Neuronal avalanches and criticality: A dynamical model for homeostasis. Neurocomputing David Hsu, John M. Beggs
2006	J	`jnl`	On the Probabilistic Foundations of Probabilistic Roadmap Planning. Int. J. Robotics Res. David Hsu, Jean-Claude Latombe, Hanna Kurniawati
2006	B	`conf`	Predicting Experimental Quantities in Protein Folding Kinetics Using Stochastic Roadmap Simulation. RECOMB Tsung-Han Chiang, Mehmet Serkan Apaydin, Douglas L. Brutlag, David Hsu, Jean-Claude Latombe
2006	C	`conf`	Workspace-Based Connectivity Oracle: An Adaptive Sampling Strategy for PRM Planning. WAFR Hanna Kurniawati, David Hsu
2005	J	`jnl`	A 4.8-6.4-Gb/s serial link for backplane applications using decision feedback equalization. IEEE J. Solid State Circuits Vishnu Balan, Joe Caroselli, Jenn-Gang Chern, Catherine Chow, Ratnakar Dadi, Chintan Desai, Leo Fang, David Hsu, Pankaj Joshi, Hiroshi Kimura, Cathy Ye Liu, Tzu-Wang Pan, Ryan Park, Cindy You, Yi Zeng, Eric Zhang, Freeman Zhong
2005	J	`jnl`	A piece-wise harmonic Langevin model of EEG dynamics: Theory and application to EEG seizure detection. Neurocomputing Murielle Hsu, David Hsu
2005	—	`conf`	A reconfigurable VLSI learning array. ESSCIRC Seth Bridges, Miguel E. Figueroa, David Hsu, Chris Diorio
2005	C	`ed.`	Algorithmic Foundations of Robotics VI, Selected Contributions of the Sixth International Workshop on the Algorithmic Foundations of Robotics, WAFR 2004, July 11-13, 2004, Zeist, the Netherlands WAFR Michael A. Erdmann, Mark H. Overmars, David Hsu, A. Frank van der Stappen
2005	A*	`conf`	Digital violin tutor: an integrated system for beginning violin learners. ACM Multimedia Jun Yin, Ye Wang, David Hsu
2005	J	`jnl`	Editorial: Special Issue on WAFR 2004. Int. J. Robotics Res. Michael A. Erdmann, David Hsu, Mark H. Overmars, A. Frank van der Stappen
2005	A*	`conf`	Hybrid PRM Sampling with a Cost-Sensitive Adaptive Strategy. ICRA David Hsu, Gildardo Sánchez-Ante, Zheng Sun
2005	J	`jnl`	Narrow passage sampling for probabilistic roadmap planning. IEEE Trans. Robotics Zheng Sun, David Hsu, Tingting Jiang, Hanna Kurniawati, John H. Reif
2005	C	`conf`	On the Probabilistic Foundations of Probabilistic Roadmap Planning. ISRR David Hsu, Jean-Claude Latombe, Hanna Kurniawati
2004	J	`jnl`	A 19.2 GOPS mixed-signal filter with floating-gate adaptation. IEEE J. Solid State Circuits Miguel E. Figueroa, Seth Bridges, David Hsu, Chris Diorio
2004	—	`conf`	A Fast Filter for Obstructed Nearest Neighbor Queries. BNCOD Chenyi Xia, David Hsu, Anthony K. H. Tung
2004	—	`conf`	Adaptively combining multiple sampling strategies for probabilistic roadmap planning. RAM David Hsu, Zheng Sun
2004	C	`conf`	Stealth Tracking of an Unpredictable Target among Obstacles. WAFR Tirthankar Bandyopadhyay, Yuanping Li, Marcelo H. Ang Jr., David Hsu
2004	A*	`conf`	The creation of a music-driven digital violinist. ACM Multimedia Jun Yin, Ankur Dhanik, David Hsu, Ye Wang
2004	A	`conf`	Workspace importance sampling for probabilistic roadmap planning. IROS Hanna Kurniawati, David Hsu
2003	—	`conf`	A 19.2GOPS, 20mW adaptive FIR filter. ESSCIRC Miguel E. Figueroa, Seth Bridges, David Hsu, Chris Diorio
2003	J	`jnl`	Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular Motion. J. Comput. Biol. Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe, Chris Varma
2003	A*	`conf`	The bridge test for sampling narrow passages with probabilistic roadmap planners. ICRA David Hsu, Tingting Jiang, John H. Reif, Zheng Sun
2002	J	`jnl`	Adaptive CMOS: from biological inspiration to systems-on-a-chip. Proc. IEEE Chris Diorio, David Hsu, Miguel E. Figueroa
2002	—	`conf`	Adaptive Quantization and Density Estimation in Silicon. NIPS David Hsu, Seth Bridges, Miguel E. Figueroa, Chris Diorio
2002	J	`jnl`	Competitive learning with floating-gate circuits. IEEE Trans. Neural Networks David Hsu, Miguel E. Figueroa, Chris Diorio
2002	—	`conf`	Field-Programmable Learning Arrays. NIPS Seth Bridges, Miguel E. Figueroa, David Hsu, Chris Diorio
2002	J	`jnl`	Prolog to adaptive CMOS: from biological inspiration to systems-on-a-chip. Proc. IEEE Chris Diorio, David Hsu, Miguel E. Figueroa, Richard O'Donnell
2002	J	`jnl`	Randomized Kinodynamic Motion Planning with Moving Obstacles. Int. J. Robotics Res. David Hsu, Robert Kindel, Jean-Claude Latombe, Stephen M. Rock
2002	C	`conf`	Stochastic Conformational Roadmaps for Computing Ensemble Properties of Molecular Motion. WAFR Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe
2002	B	`conf`	Stochastic roadmap simulation: an efficient representation and algorithm for analyzing molecular motion. RECOMB Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe
2002	C	`conf`	Using robotics to fold proteins and dock ligands. ECCB Douglas L. Brutlag, Mehmet Serkan Apaydin, Carlos Guestrin, David Hsu, Chris Varma, Amit Pal Singh, Jean-Claude Latombe
2001	J	`jnl`	A mixed-signal approach to high-performance low-power linear filters. IEEE J. Solid State Circuits Miguel E. Figueroa, David Hsu, Chris Diorio
2001	A*	`conf`	Disconnection Proofs for Motion Planning. ICRA Julien Basch, Leonidas J. Guibas, David Hsu, An Thai Nguyen
2001	—	`conf`	Learning Spike-Based Correlations and Conditional Probabilities in Silicon. NIPS Aaron P. Shon, David Hsu, Chris Diorio
2001	A*	`conf`	Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations. ICCV Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar, James M. Rehg, David Hsu, Thomas Leung
2000	—	`conf`	A Silicon Primitive for Competitive Learning. NIPS David Hsu, Miguel E. Figueroa, Chris Diorio
2000	J	`jnl`	A hierarchical method for real-time distance computation among moving convex bodies. Comput. Geom. Leonidas J. Guibas, David Hsu, Li Zhang
2000	A*	`conf`	Kinodynamic Motion Planning Amidst Moving Obstacles. ICRA Robert Kindel, David Hsu, Jean-Claude Latombe, Stephen M. Rock
2000	—	`—`	Randomized single-query motion planning in expansive spaces. David Hsu
1999	J	`jnl`	Path Planning in Expansive Configuration Spaces. Int. J. Comput. Geom. Appl. David Hsu, Jean-Claude Latombe, Rajeev Motwani
1998	—	`conf`	Capturing the Connectivity of High-Dimensional Geometric Spaces by Parallelizable Random Sampling Techniques. IPPS/SPDP Workshops David Hsu, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani
1997	A*	`conf`	Path planning in expansive configuration spaces. ICRA David Hsu, Jean-Claude Latombe, Rajeev Motwani
1995	—	`conf`	Computing the largest inscribed isothetic rectangle. CCCG Helmut Alt, David Hsu, Jack Snoeyink