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Chen Tang
Chen Tang
Postdoctoral Fellow in Computer Science, UT Austin
在 austin.utexas.edu 的电子邮件经过验证 - 首页
标题
引用次数
年份
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
2322017
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
172019
Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing
T Benciolini, C Tang, M Leibold, C Weaver, M Tomizuka, W Zhan
arXiv preprint arXiv:2311.01993, 2023
2023
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
192019
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
112020
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay
C Weaver, C Tang, C Hao, K Kawamoto, M Tomizuka, W Zhan
arXiv preprint arXiv:2402.14194, 2024
2024
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
262018
Dealing with the unknown: Pessimistic offline reinforcement learning
J Li, C Tang, M Tomizuka, W Zhan
Conference on Robot Learning, 1455-1464, 2022
152022
Designing Explainable Autonomous Driving System for Trustworthy Interaction
C Tang
University of California, Berkeley, 2022
22022
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
182019
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
152022
Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing
S Su, C Hao, C Weaver, C Tang, W Zhan, M Tomizuka
IFAC-PapersOnLine 56 (2), 7940-7947, 2023
12023
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
32023
Explainable Autonomous Driving with Grounded Relational Inference
C Tang, N Srishankar, S Martin, M Tomizuka
NeurIPS 2020 Workshop on Machine Learning for Autonomous Driving, 2020
2020
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
162021
Grounded relational inference: Domain knowledge driven explainable autonomous driving
C Tang, N Srishankar, S Martin, M Tomizuka
arXiv preprint arXiv:2102.11905, 2021
92021
Guided online distillation: Promoting safe reinforcement learning by offline demonstration
J Li, X Liu, B Zhu, J Jiao, M Tomizuka, C Tang, W Zhan
arXiv preprint arXiv:2309.09408, 2023
42023
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
422022
Interpretable autonomous driving system and method thereof
CT Sujitha Catherine Martin
US Patent App. 17/013,482, 2021
4*2021
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
142022
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