| Exploring the use of synthetic gradients for distributed deep learning across cloud and edge resources Y Chen, K Zhao, B Li, M Zhao 2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 19), 2019 | 11 | 2019 |
| Knowledge distillation via module replacing for automatic speech recognition with recurrent neural network transducer K Zhao, HD Nguyen, A Jain, N Susanj, A Mouchtaris, L Gupta, M Zhao 23rd Interspeech Conference, September 2022, 2022 | 9 | 2022 |
| A contrastive knowledge transfer framework for model compression and transfer learning K Zhao, Y Chen, M Zhao 2023 IEEE International Conference on Acoustics, Speech and Signal …, 2023 | 6 | 2023 |
| Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions K Zhao, A Jain, M Zhao International Conference on Artificial Intelligence and Statistics, 10470-10486, 2023 | 6 | 2023 |
| Iterative activation-based structured pruning K Zhao, A Jain, M Zhao arXiv preprint arXiv:2201.09881, 2022 | 3 | 2022 |
| {KnowledgeNet}: Disaggregated and Distributed Training and Serving of Deep Neural Networks S Biookaghazadeh, Y Chen, K Zhao, M Zhao 2019 USENIX Conference on Operational Machine Learning (OpML 19), 47-49, 2019 | 3 | 2019 |
| Adaptive activation-based structured pruning K Zhao, A Jain, M Zhao arXiv preprint arXiv:2201.10520, 2022 | 2 | 2022 |
| 基于 PID 的移动机器人运动控制系统设计与实现 杜孝平， 赵凯琪 通信学报 37 (Z1), 43-49, 2016 | 2 | 2016 |
| Enabling deep learning on edge devices through filter pruning and knowledge transfer K Zhao, Y Chen, M Zhao arXiv preprint arXiv:2201.10947, 2022 | 1 | 2022 |
| Self-Supervised Quantization-Aware Knowledge Distillation K Zhao, M Zhao arXiv preprint arXiv:2403.11106, 2024 | | 2024 |
| Poster: Self-Supervised Quantization-Aware Knowledge Distillation K Zhao, M Zhao 2023 IEEE/ACM Symposium on Edge Computing (SEC), 250-252, 2023 | | 2023 |
| Comprehensive Evaluation of Small and Medium Enterprises X Du, K Zhao, W Yuan, Q Yang, J Zhang Journal of University of Science and Technology of China 48 (6), 90-100, 2018 | | 2018 |
Ming ZhaoAssociate Professor, Arizona State UniversityVerified email at asu.edu
