Virtual to Real Reinforcement Learning for Autonomous Driving. - Xinlei Pan; Yurong You; Ziyan Wang; Cewu Lu (BMVC, 2017)

Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning. - Xinlei Pan; Yilin Shen (AAMAS, 2018)

An Efficient Minibatch Acceptance Test for Metropolis-Hastings. - Daniel Seita; Xinlei Pan; Haoyu Chen; John F. Canny (IJCAI, 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)

Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data. - Xinlei Pan; Sung-Li Chiang; John F. Canny (CoRR, 2018)

How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement Learning. - Xinlei Pan; Weiyao Wang 001; Xiaoshuai Zhang; Bo Li 026; Jinfeng Yi; Dawn Song (AAMAS, 2019)

Visual Similarity from Optimizing Feature and Memory On A Hypersphere. - Xinlei Pan; Rudrasis Chakraborty; Stella X. Yu (CVPR Workshops, 2019)

Semantic Predictive Control for Explainable and Efficient Policy Learning. - Xinlei Pan; Xiangyu Chen; Qi-Zhi Cai; John F. Canny; Fisher Yu 001 (ICRA, 2019)

Risk Averse Robust Adversarial Reinforcement Learning. - Xinlei Pan; Daniel Seita; Yang Gao; John F. Canny (ICRA, 2019)

How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning. - Xinlei Pan; Weiyao Wang 001; Xiaoshuai Zhang; Bo Li 026; Jinfeng Yi; Dawn Song (CoRR, 2019)

Characterizing Attacks on Deep Reinforcement Learning. - Chaowei Xiao; Xinlei Pan; Warren He; Jian Peng 001; Mingjie Sun; Jinfeng Yi; Mingyan Liu; Bo Li 026; Dawn Song (CoRR, 2019)

Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. - Xinlei Pan; Tingnan Zhang; Brian Ichter; Aleksandra Faust; Jie Tan 001; Sehoon Ha (ICRA, 2020)

Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects. - Xinlei Pan; Animesh Garg; Animashree Anandkumar; Yuke Zhu (ICRA, 2021)

Characterizing Attacks on Deep Reinforcement Learning. - Xinlei Pan; Chaowei Xiao; Warren He; Shuang Yang; Jian Peng 001; Mingjie Sun; Mingyan Liu; Bo Li 026; Dawn Song (AAMAS, 2022)

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. - Yiren Lu 001; Justin Fu; George Tucker; Xinlei Pan; Eli Bronstein; Rebecca Roelofs; Benjamin Sapp; Brandyn White; Aleksandra Faust; Shimon Whiteson; Dragomir Anguelov; Sergey Levine (IROS, 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 001; Jean Harb; Xinlei Pan; Yan Wang 051; Xiangyu Chen 007; John D. Co-Reyes; Rishabh Agarwal; et al. (NeurIPS, 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)