[go: up one dir, main page]

Follow
Zihao Mo
Zihao Mo
Graduate Research Assistant, Augusta University
Verified email at augusta.edu
Title
Cited by
Cited by
Year
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
122023
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
82023
Maximum Output Discrepancy Computation for Convolutional Neural Network Compression
Z Mo, W Xiang
Information Science 665 (120367), 2024
62024
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
32024
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
32023
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
22024
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
The system can't perform the operation now. Try again later.
Articles 1–13