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| Patdnn: Achieving real-time dnn execution on mobile devices with pattern-based weight pruning W Niu, X Ma, S Lin, S Wang, X Qian, X Lin, Y Wang, B Ren Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020 | 296 | 2020 |
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| 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 | 29 | 2020 |
| When sorting network meets parallel bitstreams: A fault-tolerant parallel ternary neural network accelerator based on stochastic computing Y Zhang, S Lin, R Wang, Y Wang, Y Wang, W Qian, R Huang 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020 | 28 | 2020 |
| A secure and efficient federated learning framework for nlp J Deng, C Wang, X Meng, Y Wang, J Li, S Lin, S Han, F Miao, ... arXiv preprint arXiv:2201.11934, 2022 | 24 | 2022 |
| Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations J Kim, D Baek, C Ding, S Lin, D Shin, X Lin, Y Wang, YH Cho, SH Park, ... | 18 | 2018 |
| Darb: A density-adaptive regular-block pruning for deep neural networks R Ao, Z Tao, W Yuhao, L Sheng, D Peiyan, C Yen-kuang, X Yuan, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5495-5502, 2020 | 16 | 2020 |
| Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM S Lin, X Ma, S Ye, G Yuan, K Ma, Y Wang ICML workshop arXiv preprint arXiv:1905.00789, 2019 | 14 | 2019 |
| ESMFL: Efficient and Secure Models for Federated Learning S Lin, C Wang, H Li, J Deng, Y Wang, C Ding arXiv preprint arXiv:2009.01867, 2020 | 13 | 2020 |
Yanzhi WangNortheastern University在 northeastern.edu 的電子郵件地址已通過驗證
