Xinlei Pan

According to our database, Xinlei Pan authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Generalized Diffusion MRI Denoising and Super-Resolution using Swin Transformers.

Amir Sadikov, Jamie Wren-Jarvis, Xinlei Pan, Lanya T. Cai, Pratik Mukherjee

CoRR, 2023

Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research.

Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios.

Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine

IROS, 2023

2022

Characterizing Attacks on Deep Reinforcement Learning.

Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, Mingjie Sun, Mingyan Liu, Bo Li, Dawn Song

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects.

Xinlei Pan, Animesh Garg, Animashree Anandkumar, Yuke Zhu

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation.

Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Characterizing Attacks on Deep Reinforcement Learning.

Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song

CoRR, 2019

How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning.

Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song

CoRR, 2019

Risk Averse Robust Adversarial Reinforcement Learning.

Xinlei Pan, Daniel Seita, Yang Gao, John F. Canny

Proceedings of the International Conference on Robotics and Automation, 2019

Semantic Predictive Control for Explainable and Efficient Policy Learning.

Xinlei Pan, Xiangyu Chen, Qi-Zhi Cai, John F. Canny, Fisher Yu

Proceedings of the International Conference on Robotics and Automation, 2019

Visual Similarity from Optimizing Feature and Memory On A Hypersphere.

Xinlei Pan, Rudrasis Chakraborty, Stella X. Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement Learning.

Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data.

Xinlei Pan, Sung-Li Chiang, John F. Canny

CoRR, 2018

Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning.

Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart, Yan Xu, Yilin Shen, Kris M. Kitani

CoRR, 2018

An Efficient Minibatch Acceptance Test for Metropolis-Hastings.

Daniel Seita, Xinlei Pan, Haoyu Chen, John F. Canny

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning.

Xinlei Pan, Yilin Shen

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Virtual to Real Reinforcement Learning for Autonomous Driving.

Xinlei Pan, Yurong You, Ziyan Wang, Cewu Lu

Proceedings of the British Machine Vision Conference 2017, 2017