| Modnn: Local distributed mobile computing system for deep neural network J Mao, X Chen, KW Nixon, C Krieger, Y Chen Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017 | 260 | 2017 |
| How convolutional neural network see the world-A survey of convolutional neural network visualization methods Z Qin, F Yu, C Liu, X Chen arXiv preprint arXiv:1804.11191, 2018 | 246 | 2018 |
| How is energy consumed in smartphone display applications? X Chen, Y Chen, Z Ma, FCA Fernandes Proceedings of the 14th Workshop on Mobile Computing Systems and …, 2013 | 189 | 2013 |
| Elfish: Resource-aware federated learning on heterogeneous edge devices Z Xu, Z Yang, J Xiong, J Yang, X Chen Ratio 2 (r1), r2, 2019 | 97* | 2019 |
| Mednn: A distributed mobile system with enhanced partition and deployment for large-scale dnns J Mao, Z Yang, W Wen, C Wu, L Song, KW Nixon, X Chen, H Li, Y Chen 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 751-756, 2017 | 81 | 2017 |
| Quality-retaining OLED dynamic voltage scaling for video streaming applications on mobile devices X Chen, J Zheng, Y Chen, M Zhao, CJ Xue Proceedings of the 49th Annual Design Automation Conference, 1000-1005, 2012 | 63 | 2012 |
| Interpreting and evaluating neural network robustness F Yu, Z Qin, C Liu, L Zhao, Y Wang, X Chen arXiv preprint arXiv:1905.04270, 2019 | 61 | 2019 |
| Admm for efficient deep learning with global convergence J Wang, F Yu, X Chen, L Zhao Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 55 | 2019 |
| Tiny but accurate: A pruned, quantized and optimized memristor crossbar framework for ultra efficient dnn implementation X Ma, G Yuan, S Lin, C Ding, F Yu, T Liu, W Wen, X Chen, Y Wang 2020 25th Asia and South Pacific design automation conference (ASP-DAC), 301-306, 2020 | 49 | 2020 |
| Progressive weight pruning of deep neural networks using ADMM S Ye, T Zhang, K Zhang, J Li, K Xu, Y Yang, F Yu, J Tang, M Fardad, S Liu, ... arXiv preprint arXiv:1810.07378, 2018 | 48 | 2018 |
| {FingerShadow}: An {OLED} Power Optimization Based on Smartphone Touch Interactions X Chen, KW Nixon, H Zhou, Y Liu, Y Chen 6th Workshop on Power-Aware Computing and Systems (HotPower 14), 2014 | 45 | 2014 |
| Fine-grained dynamic voltage scaling on OLED display X Chen, J Zeng, Y Chen, W Zhang, H Li 17th Asia and South Pacific Design Automation Conference, 807-812, 2012 | 43 | 2012 |
| Mobile {GPU} power consumption reduction via dynamic resolution and frame rate scaling KW Nixon, X Chen, H Zhou, Y Liu, Y Chen 6th Workshop on Power-Aware Computing and Systems (HotPower 14), 2014 | 39 | 2014 |
| Fed2: Feature-aligned federated learning F Yu, W Zhang, Z Qin, Z Xu, D Wang, C Liu, Z Tian, X Chen Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 36 | 2021 |
| Unsupervised domain adaptation for object detection via cross-domain semi-supervised learning F Yu, D Wang, Y Chen, N Karianakis, T Shen, P Yu, D Lymberopoulos, ... arXiv preprint arXiv:1911.07158, 2019 | 36 | 2019 |
| Reform: Static and dynamic resource-aware dnn reconfiguration framework for mobile device Z Xu, F Yu, C Liu, X Chen Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 31 | 2019 |
| Interpreting adversarial robustness: A view from decision surface in input space F Yu, C Liu, Y Wang, L Zhao, X Chen arXiv preprint arXiv:1810.00144, 2018 | 31 | 2018 |
| DaTuM: Dynamic tone mapping technique for OLED display power saving based on video classification X Chen, Y Chen, CJ Xue Proceedings of the 52nd Annual Design Automation Conference, 1-6, 2015 | 31 | 2015 |
| An image enhancing pattern-based sparsity for real-time inference on mobile devices X Ma, W Niu, T Zhang, S Liu, S Lin, H Li, W Wen, X Chen, J Tang, K Ma, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 28 | 2020 |
| Demystifying energy usage in smartphones X Chen, Y Chen, M Dong, C Zhang Proceedings of the 51st Annual Design Automation Conference, 1-5, 2014 | 27 | 2014 |
Fuxun YuSenior Researcher, MicrosoftVerified email at microsoft.com
