Ming-Chang Kao

According to our database, Ming-Chang Kao authored at least 6 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

TensorHE: a homomorphic encryption transformer for privacy-preserving deep learning.

Chuan-Chi Wang, Chia-Heng Tu, Ming-Chang Kao, Shih-Hao Hung

Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022

2020

ResPerfNet: Deep Residual Learning for Regressional Performance Modeling of Deep Neural Networks.

Chuan-Chi Wang, Ying-Chiao Liao, Chia-Heng Tu, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung

CoRR, 2020

Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks.

Chuan-Chi Wang, Ying-Chiao Liao, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung

CoRR, 2020

PerfNet: Platform-Aware Performance Modeling for Deep Neural Networks.

Chuan-Chi Wang, Ying-Chiao Liao, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung

Proceedings of the RACS '20: International Conference on Research in Adaptive and Convergent Systems, 2020

Performance Analysis and Optimization for Federated Learning Applications with PySyft-based Secure Aggregation.

Po-Sheng Lin, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung

Proceedings of the International Computer Symposium, 2020

PerfNetRT: Platform-Aware Performance Modeling for Optimized Deep Neural Networks.

Ying-Chiao Liao, Chuan-Chi Wang, Chia-Heng Tu, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung

Proceedings of the International Computer Symposium, 2020