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Yejiang Yang
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Journal Articles
- 2023
- [j2]Tao Wang, Yejiang Yang, Weiming Xiang:
Computationally efficient neural hybrid automaton framework for learning complex dynamics. Neurocomputing 562: 126879 (2023) - 2022
- [j1]Yejiang Yang, Tao Wang, Jefferson P. Woolard, Weiming Xiang:
Guaranteed approximation error estimation of neural networks and model modification. Neural Networks 151: 61-69 (2022)
Conference and Workshop Papers
- 2024
- [c5]Yejiang Yang, Zihao Mo, Hoang-Dung Tran, Weiming Xiang:
A Transition System Abstraction Framework for Neural Network Dynamical System Models. ACC 2024: 388-393 - [c4]Zihao Mo, Yejiang Yang, Shuaizheng Lu, Weiming Xiang:
Compression Repair for Feedforward Neural Networks Based on Model Equivalence Evaluation. ACC 2024: 3604-3609 - 2023
- [c3]Yejiang Yang, Weiming Xiang:
Modeling Dynamical Systems with Neural Hybrid System Framework via Maximum Entropy Approach. ACC 2023: 3907-3712 - [c2]Yejiang Yang, Zihao Mo, Weiming Xiang:
A Data-Driven Hybrid Automaton Framework to Modeling Complex Dynamical Systems. ICIT 2023: 1-6 - 2021
- [c1]Yejiang Yang, Weiming Xiang:
Robust Optimization Framework for Training Shallow Neural Networks Using Reachability Method. CDC 2021: 3857-3862
Informal and Other Publications
- 2024
- [i4]Zihao Mo, Yejiang Yang, Shuaizheng Lu, Weiming Xiang:
Compression Repair for Feedforward Neural Networks Based on Model Equivalence Evaluation. CoRR abs/2402.11737 (2024) - [i3]Yejiang Yang, Zihao Mo, Hoang-Dung Tran, Weiming Xiang:
A Transition System Abstraction Framework for Neural Network Dynamical System Models. CoRR abs/2402.11739 (2024) - 2023
- [i2]Yejiang Yang, Zihao Mo, Weiming Xiang:
A Data-Driven Hybrid Automaton Framework to Modeling Complex Dynamical Systems. CoRR abs/2304.13811 (2023) - 2021
- [i1]Yejiang Yang, Weiming Xiang:
Robust Optimization Framework for Training Shallow Neural Networks Using Reachability Method. CoRR abs/2107.12801 (2021)
Coauthor Index
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