| Parietal alpha underlies slower cognitive responses during interference processing in adolescents Z Mo, G Grennan, A Kulkarni, D Ramanathan, PP Balasubramani, ... Behavioural Brain Research 443, 114356, 2023 | 12 | 2023 |
| Guaranteed Quantization Error Computation for Neural Network Model Compression W Cooke, Z Mo, W Xiang 2023 IEEE International Conference on Industrial Technology (ICIT), 1-4, 2023 | 8 | 2023 |
| Maximum Output Discrepancy Computation for Convolutional Neural Network Compression Z Mo, W Xiang Information Science 665 (120367), 2024 | 6 | 2024 |
| Observer-based safety monitoring of nonlinear dynamical systems with neural networks via quadratic constraint approach T Wang, Y Li, Z Mo, W Cooke, W Xiang International Journal of Control 97 (10), 2420-2432, 2024 | 3 | 2024 |
| 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 | 3 | 2023 |
| 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 | 2 | 2024 |
| Efficient Neural Hybrid System Learning and Interpretable Transition System Abstraction for Dynamical Systems Y Yang, Z Mo, W Xiang ASME Letters in Dynamic Systems and Control 5 (1), 011001, 2025 | | 2025 |
| Discrepancy-Based Knowledge Distillation for Image Classification Restoration Z Mo, Y Yang, W Xiang 2024 International Conference on Machine Learning and Applications (ICMLA …, 2024 | | 2024 |
| Approximate Bisimulation Relation Restoration for Neural Networks Based On Knowledge Distillation J Chen, Z Mo, T Wang, W Xiang 2024 International Conference on Machine Learning and Applications (ICMLA …, 2024 | | 2024 |
| Efficient Neural Hybrid System Learning and Transition System Abstraction for Dynamical Systems Y Yang, Z Mo, W Xiang arXiv preprint arXiv:2411.10240, 2024 | | 2024 |
| A Transition System Abstraction Framework for Neural Network Dynamical System Models Y Yang, Z Mo, HD Tran, W Xiang 2024 American Control Conference (ACC), 388-393, 2024 | | 2024 |
| Compression Repair for Feedforward Neural Networks Based on Model Equivalence Evaluation W Mo, Zihao and Yang, Yejiang and Lu, Shuaizheng and Xiang 2024 American Control Conference (ACC), 3604-3609, 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 |