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ORCIDShuo Yang 0007
Person information
- affiliation: University of Pennsylvania, Department of Electrical and Systems Engineering, Philadelphia, PA, USA
- affiliation (former): Shanghai Jiao Tong University, Department of Automation, Key Laboratory of System Control and Information Processing, China
Other persons with the same name
- Shuo Yang — disambiguation page
- Shuo Yang 0001
![[0000-0001-7106-9169]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7106-9169")
— Shanghai Jiao Tong University, Shanghai, China - Shuo Yang 0002 — Institute of Software, Chinese Academy of Sciences, Beijing, China
- Shuo Yang 0003 — Amazon Rekognition (and 1 more)
- Shuo Yang 0004 — LinkedIn Corp. (and 1 more)
- Shuo Yang 0005 — National University of Defense Technology, College of Computer, Changsha, China
- Shuo Yang 0006 — Harbin Institute of Technology, School of Computer Science and Technology, China (and 1 more)
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2020 – today
- 2023
[j3]Shuo Yang, Shaoru Chen, Victor M. Preciado, Rahul Mangharam:
Differentiable Safe Controller Design Through Control Barrier Functions. IEEE Control. Syst. Lett. 7: 1207-1212 (2023)- [j2]Shuo Yang, Xiang Yin:
Secure Your Intention: On Notions of Pre-Opacity in Discrete-Event Systems. IEEE Trans. Autom. Control. 68(8): 4754-4766 (2023) - [c3]Xiatao Sun, Mingyan Zhou, Zhijun Zhuang, Shuo Yang, Johannes Betz, Rahul Mangharam:
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing. IV 2023: 1-5 - [c2]Hongrui Zheng, Zirui Zang, Shuo Yang, Rahul Mangharam:
Towards Explainability in Modular Autonomous System Software. IV 2023: 1-8 - [i8]Xiatao Sun, Shuo Yang, Rahul Mangharam:
MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts. CoRR abs/2303.00638 (2023) - [i7]Shuo Yang, George J. Pappas, Rahul Mangharam, Lars Lindemann:
Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction. CoRR abs/2304.00194 (2023) - 2022
- [i6]Shuo Yang, Shaoru Chen, Victor M. Preciado, Rahul Mangharam:
Differentiable Safe Controller Design through Control Barrier Functions. CoRR abs/2209.10034 (2022) - [i5]Xiatao Sun, Mingyan Zhou, Zhijun Zhuang, Shuo Yang, Johannes Betz, Rahul Mangharam:
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing. CoRR abs/2209.15073 (2022) - [i4]Yu Chen, Shuo Yang, Rahul Mangharam, Xiang Yin:
You Don't Know When I Will Arrive: Unpredictable Controller Synthesis for Temporal Logic Tasks. CoRR abs/2211.12803 (2022) - [i3]Hongrui Zheng, Zirui Zang, Shuo Yang, Rahul Mangharam:
Towards Explainability in Modular Autonomous Vehicle Software. CoRR abs/2212.00544 (2022) - 2021
- [j1]Shuo Yang, Junyao Hou, Xiang Yin, Shaoyuan Li:
Opacity of Networked Supervisory Control Systems Over Insecure Communication Channels. IEEE Trans. Control. Netw. Syst. 8(2): 884-896 (2021) - 2020
- [c1]Shuo Yang, Xiang Yin, Shaoyuan Li, Majid Zamani:
Secure-by-Construction Optimal Path Planning for Linear Temporal Logic Tasks. CDC 2020: 4460-4466 - [i2]Shuo Yang, Xiang Yin:
Secure Your Intention: On Notions of Pre-Opacity in Discrete-Event Systems. CoRR abs/2010.14120 (2020) - [i1]Shuo Yang, Xiang Yin, Shaoyuan Li, Majid Zamani:
Secure-by-Construction Optimal Path Planning for Linear Temporal Logic Tasks. CoRR abs/2010.14160 (2020)
Coauthor Index
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