Zihao Mo

Orcid: 0000-0001-5037-5802

According to our database1, Zihao Mo authored at least 10 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Maximum output discrepancy computation for convolutional neural network compression.
Inf. Sci., 2024

Observer-based safety monitoring of nonlinear dynamical systems with neural networks via quadratic constraint approach.
Int. J. Control, 2024

Efficient Neural Hybrid System Learning and Transition System Abstraction for Dynamical Systems.
CoRR, 2024

Discrepancy-Based Knowledge Distillation for Image Classification Restoration.
Proceedings of the International Conference on Machine Learning and Applications, 2024

Approximate Bisimulation Relation Restoration for Neural Networks Based On Knowledge Distillation.
Proceedings of the International Conference on Machine Learning and Applications, 2024

A Transition System Abstraction Framework for Neural Network Dynamical System Models.
Proceedings of the American Control Conference, 2024

Compression Repair for Feedforward Neural Networks Based on Model Equivalence Evaluation.
Proceedings of the American Control Conference, 2024

D3NN: Data-Driven Dual-level Neural Network Tool for Dynamical System Modeling and Abstraction.
Proceedings of the 8th IFAC Conference on Analysis and Design of Hybrid Systems, 2024

2023
A Data-Driven Hybrid Automaton Framework to Modeling Complex Dynamical Systems.
Proceedings of the IEEE International Conference on Industrial Technology, 2023

Guaranteed Quantization Error Computation for Neural Network Model Compression.
Proceedings of the IEEE International Conference on Industrial Technology, 2023


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