| Guaranteed approximation error estimation of neural networks and model modification Y Yang, T Wang, JP Woolard, W Xiang Neural Networks 151, 61-69, 2022 | 17 | 2022 |
| Robust optimization framework for training shallow neural networks using reachability method Y Yang, W Xiang 2021 60th IEEE Conference on Decision and Control (CDC), 3857-3862, 2021 | 4 | 2021 |
| A Data-Driven Hybrid Automaton Framework to Modeling Complex Dynamical Systems Y Yang, Z Mo, W Xiang 2023 IEEE International Conference on Industrial Technology (ICIT), 1-6, 2023 | 2 | 2023 |
| Computationally efficient neural hybrid automaton framework for learning complex dynamics T Wang, Y Yang, W Xiang Neurocomputing 562, 126879, 2023 | 1 | 2023 |
| Modeling Dynamical Systems with Neural Hybrid System Framework via Maximum Entropy Approach Y Yang, W Xiang 2023 American Control Conference (ACC), 3907-3712, 2023 | 1 | 2023 |
| A Distributed Neural Hybrid System Learning Framework in Modeling Complex Dynamical Systems Y Yang, T Wang, W Xiang IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
| Compression Repair for Feedforward Neural Networks Based on Model Equivalence Evaluation Z Mo, Y Yang, S Lu, W Xiang arXiv preprint arXiv:2402.11737, 2024 | | 2024 |
| A Transition System Abstraction Framework for Neural Network Dynamical System Models Y Yang, Z Mo, HD Tran, W Xiang arXiv preprint arXiv:2402.11739, 2024 | | 2024 |
| D3NN: Data-Driven Dual-level Neural Network Tool for Dynamical System Modeling and Abstraction Y Yang, Z Mo, W Xiang IFAC-PapersOnLine 58 (11), 7-12, 2024 | | 2024 |
Weiming XiangAssociate Professor, School of Computer and Cyber Sciences, Augusta University在 augusta.edu 的电子邮件经过验证
