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Zihao Mo
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2020 – today
- 2024
- [j1]Zihao Mo, Weiming Xiang:
Maximum output discrepancy computation for convolutional neural network compression. Inf. Sci. 665: 120367 (2024) - [c4]Yejiang Yang, Zihao Mo, Hoang-Dung Tran, Weiming Xiang:
A Transition System Abstraction Framework for Neural Network Dynamical System Models. ACC 2024: 388-393 - [c3]Zihao Mo, Yejiang Yang, Shuaizheng Lu, Weiming Xiang:
Compression Repair for Feedforward Neural Networks Based on Model Equivalence Evaluation. ACC 2024: 3604-3609 - [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
- [c2]Wesley Cooke, Zihao Mo, Weiming Xiang:
Guaranteed Quantization Error Computation for Neural Network Model Compression. ICIT 2023: 1-4 - [c1]Yejiang Yang, Zihao Mo, Weiming Xiang:
A Data-Driven Hybrid Automaton Framework to Modeling Complex Dynamical Systems. ICIT 2023: 1-6 - [i2]Yejiang Yang, Zihao Mo, Weiming Xiang:
A Data-Driven Hybrid Automaton Framework to Modeling Complex Dynamical Systems. CoRR abs/2304.13811 (2023) - [i1]Wesley Cooke, Zihao Mo, Weiming Xiang:
Guaranteed Quantization Error Computation for Neural Network Model Compression. CoRR abs/2304.13812 (2023)
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