| Low-voltage high-performance flexible digital and analog circuits based on ultrahigh-purity semiconducting carbon nanotubes T Lei, LL Shao, YQ Zheng, G Pitner, G Fang, C Zhu, S Li, R Beausoleil, ... Nature communications 10 (1), 2161, 2019 | 190 | 2019 |
| Fpga acceleration of recurrent neural network based language model S Li, C Wu, H Li, B Li, Y Wang, Q Qiu 2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom …, 2015 | 136 | 2015 |
| Lotteryfl: Personalized and communication-efficient federated learning with lottery ticket hypothesis on non-iid datasets A Li, J Sun, B Wang, L Duan, S Li, Y Chen, H Li arXiv preprint arXiv:2008.03371, 2020 | 125 | 2020 |
| Shiftaddnet: A hardware-inspired deep network H You, X Chen, Y Zhang, C Li, S Li, Z Liu, Z Wang, Y Lin Advances in Neural Information Processing Systems 33, 2771-2783, 2020 | 77 | 2020 |
| Lotteryfl: Empower edge intelligence with personalized and communication-efficient federated learning A Li, J Sun, B Wang, L Duan, S Li, Y Chen, H Li 2021 IEEE/ACM Symposium on Edge Computing (SEC), 68-79, 2021 | 54 | 2021 |
| Neuromorphic computing's yesterday, today, and tomorrow–an evolutional view Y Chen, HH Li, C Wu, C Song, S Li, C Min, HP Cheng, W Wen, X Liu Integration 61, 49-61, 2018 | 40 | 2018 |
| An FPGA design framework for CNN sparsification and acceleration S Li, W Wen, Y Wang, S Han, Y Chen, H Li 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom …, 2017 | 34 | 2017 |
| Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective HP Cheng, W Wen, C Wu, S Li, HH Li, Y Chen Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017 | 33 | 2017 |
| MAT: A multi-strength adversarial training method to mitigate adversarial attacks C Song, HP Cheng, H Yang, S Li, C Wu, Q Wu, Y Chen, H Li 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 476-481, 2018 | 32 | 2018 |
| Compact modeling of thin-film transistors for flexible hybrid IoT design L Shao, T Lei, TC Huang, S Li, TY Chu, M Wong, R Beausoleil, Z Bao, ... IEEE Design & Test 36 (4), 6-14, 2019 | 21 | 2019 |
| Running sparse and low-precision neural network: When algorithm meets hardware B Li, W Wen, J Mao, S Li, Y Chen, H Li 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 534-539, 2018 | 21 | 2018 |
| Mia-former: Efficient and robust vision transformers via multi-grained input-adaptation Z Yu, Y Fu, S Li, C Li, Y Lin Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8962-8970, 2022 | 16 | 2022 |
| ApesNet: a pixel‐wise efficient segmentation network for embedded devices C Wu, HP Cheng, S Li, H Li, Y Chen IET Cyber‐Physical Systems: Theory & Applications 1 (1), 78-85, 2016 | 15 | 2016 |
| Heterogeneous systems with reconfigurable neuromorphic computing accelerators S Li, X Liu, M Mao, HH Li, Y Chen, B Li, Y Wang 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 125-128, 2016 | 13 | 2016 |
| DA-RAID-5: A disturb aware data protection technique for NAND flash storage systems J Guo, W Wen, YZ Li, S Li, H Li, Y Chen 2013 Design, Automation & Test in Europe Conference & Exhibition (DATE), 380-385, 2013 | 13 | 2013 |
| Adversarial attack: A new threat to smart devices and how to defend it C Song, HP Cheng, H Yang, S Li, C Wu, Q Wu, H Li IEEE Consumer Electronics Magazine 9 (4), 49-55, 2020 | 12 | 2020 |
| A data locality-aware design framework for reconfigurable sparse matrix-vector multiplication kernel S Li, Y Wang, W Wen, Y Wang, Y Chen, H Li 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-6, 2016 | 12 | 2016 |
| Defending deep learning-based biomedical image segmentation from adversarial attacks: a low-cost frequency refinement approach Q Liu, H Jiang, T Liu, Z Liu, S Li, W Wen, Y Shi Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 11 | 2020 |
| ApesNet: a pixel-wise efficient segmentation network C Wu, HP Cheng, S Li, HH Li, Y Chen Proceedings of the 14th ACM/IEEE Symposium on Embedded Systems for Real-Time …, 2016 | 10 | 2016 |
| Personalized and communication-efficient federated learning with lottery ticket hypothesis on non-iid datasets A Li, J Sun, B Wang, L Duan, S Li, Y Chen, HL Li arXiv preprint arXiv:2008.03371 2, 2020 | 7 | 2020 |
Hai LiClare Boothe Luce Professor of Electrical and Computer Engineering在 duke.edu 的电子邮件经过验证
