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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 | 243 | 2020 |
| Non-Structured DNN Weight Pruning–Is It Beneficial in Any Platform? X Ma, S Lin, S Ye, Z He, L Zhang, G Yuan, S Huat Tan, Z Li, D Fan, X Qian, ... TNNLS, arXiv: 1907.02124, 2019 | 88 | 2019 |
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| Resnet can be pruned 60×: Introducing network purification and unused path removal (p-rm) after weight pruning X Ma, G Yuan, S Lin, Z Li, H Sun, Y Wang 2019 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 1-2, 2019 | 40 | 2019 |
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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 | 26 | 2020 |
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| 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 | 21 | 2020 |
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| 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, ... | 14 | 2018 |
| 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 | 13 | 2019 |
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Yanzhi WangNortheastern UniversityVahvistettu sähköpostiosoite verkkotunnuksessa northeastern.edu
