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Mingfeng Yuan
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2020 – today
- 2024
- [j6]Xiaodong Jiao, Yumin Zhao, Xinyu Wang, Mingfeng Yuan, Jin Tao, Hao Sun, Qinglin Sun, Zengqiang Chen:
Learning-based acoustic displacement field modeling and micro-particle control. Expert Syst. Appl. 237(Part B): 121503 (2024) - [j5]Mingfeng Yuan, Jinjun Shan, Hunter Schofield:
Scalable Game-Theoretic Decision-Making for Self-Driving Cars at Unsignalized Intersections. IEEE Trans. Ind. Electron. 71(6): 5920-5930 (2024) - [j4]Mingfeng Yuan, Jinjun Shan, Kevin Mi:
From Naturalistic Traffic Data to Learning-Based Driving Policy: A Sim-to-Real Study. IEEE Trans. Veh. Technol. 73(1): 245-257 (2024) - [c3]Onoise Gerald Kio, Mingfeng Yuan, Robert S. Allison, Jinjun Shan:
Performance-based Data-driven Assessment of Trust. ICHMS 2024: 1-6 - [c2]Mithila Sivakumar, Alvine B. Belle, Jinjun Shan, Oluwafemi Odu, Mingfeng Yuan:
Design of the Safety Case of the Reinforcement Learning-Enabled Component of a Quanser Autonomous Vehicle. RE Workshops 2024: 57-67 - [i1]Behzad Akbari, Mingfeng Yuan, Hao Wang, Haibin Zhu, Jinjun Shan:
A Factor Graph Model of Trust for a Collaborative Multi-Agent System. CoRR abs/2402.07049 (2024) - 2023
- [c1]Mingfeng Yuan, Jinjun Shan:
Learning Adaptive Cruise Control for Autonomous Vehicles Using End-to-End Deep Reinforcement Learning. IECON 2023: 1-6 - 2022
- [j3]Mingfeng Yuan, Jinjun Shan, Kevin Mi:
Deep Reinforcement Learning Based Game-Theoretic Decision-Making for Autonomous Vehicles. IEEE Robotics Autom. Lett. 7(2): 818-825 (2022)
2010 – 2019
- 2019
- [j2]Enzeng Dong, Mingfeng Yuan, Fangfang Han, Jigang Tong, Shengzhi Du:
Topological Horseshoe Analysis and FPGA Implementation of a Classical Fractional Order Chaotic System. IEEE Access 7: 129095-129103 (2019) - 2018
- [j1]Enzeng Dong, Mingfeng Yuan, Cong Zhang, Jigang Tong, Zengqiang Chen, Shengzhi Du:
Topological Horseshoe Analysis, Ultimate Boundary Estimations of a New 4D Hyperchaotic System and Its FPGA Implementation. Int. J. Bifurc. Chaos 28(7): 1850081:1-1850081:22 (2018)
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last updated on 2024-09-05 23:43 CEST by the dblp team
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