| A survey on deploying mobile deep learning applications: A systemic and technical perspective Y Wang, J Wang, W Zhang, Y Zhan, S Guo, Q Zheng, X Wang Digital Communications and Networks 8 (1), 1-17, 2022 | 76 | 2022 |
| Exploring optimal substructure for out-of-distribution generalization via feature-targeted model pruning Y Wang, J Guo, S Guo, W Zhang, J Zhang arXiv preprint arXiv:2212.09458, 2022 | 12 | 2022 |
| Efficient stein variational inference for reliable distribution-lossless network pruning Y Wang, S Guo, J Guo, W Zhang, Y Xu, J Zhang, Y Liu arXiv preprint arXiv:2212.03537, 2022 | 12 | 2022 |
| GlobalPru: A Global Channel Attention Based Method for Towards Performance Maximized Channel Pruning WZ Yingchun Wang, Jingcai Guo, Song Gun The Hong Kong Polytechnic University, 0 | | |
| Towards Performance-maximizing Network Pruning via Global Channel Attention WZ Yingchun Wang, Jingcai Gun, Song Gun The Hong Kong Polytechnic University, 0 | | |
| Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning WZ Yingchun Wang, Song Guo The Hong Kong Polytechnic University, 0 | | |
| Towards More Robust Mixed-Precision Quantization via Reinforcement Learning WZ Yingchun Wang, Song Guo The Hong Kong Polytechnic University, 0 | | |
| MANN: Enabling Lightweight, Generalized Edge Intelligence by Multi-dimensional Adaptive-grow Neural Network WZ Yingchun Wang, Song Guo Xi'an Jiaotong University, 0 | | |
| Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models WZ Yingchun Wang, Song Guo The Hong Kong Polytechnic University, 0 | | |
| Customized Architecture Search for Personalized Federated Learning over Heterogeneous Edges WZ Yingchun Wang, Haozhao Wang, Song Guo | | |
