Chen Tang

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	Wszystkie	Od 2020
Cytowania	704	602
h-indeks	14	14
i10-indeks	17	17

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Masayoshi TomizukaMechaniccal Engineering, University of CaliforniaZweryfikowany adres z me.berkeley.edu
Wei ZhanCo-Director of Berkeley DeepDrive, UC Berkeley; Chief Scientist of Applied IntuitionZweryfikowany adres z berkeley.edu
Jinning LiPhD, University of California, BerkeleyZweryfikowany adres z berkeley.edu
Chenran LiPhD Student, University of California, BerkeleyZweryfikowany adres z berkeley.edu
Zhuo XuResearch Scientist, Google DeepMindZweryfikowany adres z google.com
Dr Qingbin ZhengThe Chinese University of Hong Kong, ShenzhenZweryfikowany adres z family.ust.hk
Xi ShenThe Hong Kong Polytechnic UniversityZweryfikowany adres z polyu.edu.hk
Jang-Kyo KimUniversity of New South WalesZweryfikowany adres z unsw.edu.au
Xiaohan DuCity University of Hong KongZweryfikowany adres z cityu.edu.hk
Ce HaoNational University of SingaporeZweryfikowany adres z u.nus.edu
Chenfeng XuUC BerkeleyZweryfikowany adres z berkeley.edu
Lingfeng SunUniversity of California, BerkeleyZweryfikowany adres z berkeley.edu
Kenta KawamotoSony AI Inc.Zweryfikowany adres z sony.com
Peter StoneProfessor of Computer Science, The University of Texas at AustinZweryfikowany adres z cs.utexas.edu
Sujitha MartinApplied Scientist, Amazon Web Services (AWS)Zweryfikowany adres z amazon.com
Alireza FathiGoogle DeepMindZweryfikowany adres z cs.stanford.edu
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyZweryfikowany adres z berkeley.edu
Tian LiUC San DiegoZweryfikowany adres z ucsd.edu
Shengbo Eben Li（李升波）Professor at Tsinghua UniversityZweryfikowany adres z tsinghua.edu.cn
Yiheng LiPhD Student in Mechanical Engineering, University of California, BerkeleyZweryfikowany adres z berkeley.edu

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Chen Tang

Postdoctoral Fellow in Computer Science, UT Austin

Zweryfikowany adres z austin.utexas.edu - Strona główna

Autonomous Driving Robotics Human-Centered Autonomy Machine Learning Control


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
A highly sensitive graphene woven fabric strain sensor for wearable wireless musical instruments X Liu, C Tang, X Du, S Xiong, S Xi, Y Liu, X Shen, Q Zheng, Z Wang, Y Wu, ... Materials Horizons 4 (3), 477-486, 2017	247	2017
Hierarchical planning through goal-conditioned offline reinforcement learning J Li, C Tang, M Tomizuka, W Zhan IEEE Robotics and Automation Letters 7 (4), 10216-10223, 2022	60	2022
Zero-shot deep reinforcement learning driving policy transfer for autonomous vehicles based on robust control Z Xu, C Tang, M Tomizuka 2018 21st International Conference on Intelligent Transportation Systems …, 2018	52	2018
Pretram: Self-supervised pre-training via connecting trajectory and map C Xu, T Li, C Tang, L Sun, K Keutzer, M Tomizuka, A Fathi, W Zhan European Conference on Computer Vision, 34-50, 2022	36	2022
Continuous decision making for on-road autonomous driving under uncertain and interactive environments J Chen, C Tang, L Xin, SE Li, M Tomizuka 2018 IEEE Intelligent Vehicles Symposium (IV), 1651-1658, 2018	31	2018
Dealing with the unknown: Pessimistic offline reinforcement learning J Li, C Tang, M Tomizuka, W Zhan Conference on Robot Learning, 1455-1464, 2022	25	2022
Deep reinforcement learning for robotics: A survey of real-world successes C Tang, B Abbatematteo, J Hu, R Chandra, R Martín-Martín, P Stone Annual Review of Control, Robotics, and Autonomous Systems 8, 2024	23	2024
Exploring social posterior collapse in variational autoencoder for interaction modeling C Tang, W Zhan, M Tomizuka Advances in Neural Information Processing Systems 34, 8481-8494, 2021	23	2021
Adaptive probabilistic vehicle trajectory prediction through physically feasible bayesian recurrent neural network C Tang, J Chen, M Tomizuka 2019 International Conference on Robotics and Automation (ICRA), 3846-3852, 2019	23	2019
Disturbance-observer-based tracking controller for neural network driving policy transfer C Tang, Z Xu, M Tomizuka IEEE Transactions on Intelligent Transportation Systems 21 (9), 3961-3972, 2019	22	2019
Domain knowledge driven pseudo labels for interpretable goal-conditioned interactive trajectory prediction L Sur, C Tang, Y Niu, E Sachdeva, C Choi, T Misu, M Tomizuka, W Zhan 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022	18	2022
A remote control strategy for an autonomous vehicle with slow sensor using kalman filtering and dual-rate control Á Cuenca, W Zhan, J Salt, J Alcaina, C Tang, M Tomizuka Sensors 19 (13), 2983, 2019	17	2019
Toward modularization of neural network autonomous driving policy using parallel attribute networks Z Xu, H Chang, C Tang, C Liu, M Tomizuka 2019 IEEE Intelligent Vehicles Symposium (IV), 1400-1407, 2019	17	2019
Interventional behavior prediction: Avoiding overly confident anticipation in interactive prediction C Tang, W Zhan, M Tomizuka 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022	16	2022
Application Specific System Identification for Model-Based Control in Self-Driving Cars JMS Ducaju, C Tang, M Tomizuka, CY Chan 2020 IEEE Intelligent Vehicles Symposium (IV), 384-390, 2020	13	2020
Grounded relational inference: Domain knowledge driven explainable autonomous driving C Tang, N Srishankar, S Martin, M Tomizuka IEEE Transactions on Intelligent Transportation Systems, 2024	12	2024
Editing driver character: Socially-controllable behavior generation for interactive traffic simulation WJ Chang, C Tang, C Li, Y Hu, M Tomizuka, W Zhan IEEE Robotics and Automation Letters, 2023	12	2023
Pre-training on synthetic driving data for trajectory prediction Y Li, SZ Zhao, C Xu, C Tang, C Li, M Ding, M Tomizuka, W Zhan 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024	9	2024
Guided online distillation: Promoting safe reinforcement learning by offline demonstration J Li, X Liu, B Zhu, J Jiao, M Tomizuka, C Tang, W Zhan 2024 IEEE International Conference on Robotics and Automation (ICRA), 7447-7454, 2024	8	2024
Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning C Hao, C Weaver, C Tang, K Kawamoto, M Tomizuka, W Zhan IEEE Robotics and Automation Letters, 2024	6*	2024

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