| Legodnn: block-grained scaling of deep neural networks for mobile vision R Han, Q Zhang, CH Liu, G Wang, J Tang, LY Chen Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021 | 35 | 2021 |
| Fedknow: Federated continual learning with signature task knowledge integration at edge Y Luopan, R Han, Q Zhang, CH Liu, G Wang, LY Chen 2023 IEEE 39th International Conference on Data Engineering (ICDE), 341-354, 2023 | 13 | 2023 |
| Lightweight and accurate DNN-based anomaly detection at edge Q Zhang, R Han, G Xin, CH Liu, G Wang, LY Chen IEEE Transactions on Parallel and Distributed Systems 33 (11), 2927-2942, 2021 | 8 | 2021 |
| FedViT: Federated continual learning of vision transformer at edge X Zuo, Y Luopan, R Han, Q Zhang, CH Liu, G Wang, LY Chen Future Generation Computer Systems 154, 1-15, 2024 | 3 | 2024 |
| An Empirical Analysis of Vision Transformer and CNN in Resource-Constrained Federated Learning X Zuo, Q Zhang, R Han Proceedings of the 2022 5th International Conference on Machine Learning and …, 2022 | 2 | 2022 |
| EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge Q Zhang, R Han, CH Liu, G Wang, LY Chen 2023 IEEE 39th International Conference on Data Engineering (ICDE), 3643-3646, 2023 | 1 | 2023 |
| ElasticDNN: On-device Neural Network Remodeling for Adapting Evolving Vision Domains at Edge Q Zhang, R Han, CH Liu, G Wang, LY Chen IEEE Transactions on Computers, 2024 | | 2024 |
