| Hw-nas-bench: Hardware-aware neural architecture search benchmark C Li, Z Yu, Y Fu, Y Zhang, Y Zhao, H You, Q Yu, Y Wang, Y Lin arXiv preprint arXiv:2103.10584, 2021 | 119 | 2021 |
| Autodnnchip: An automated dnn chip predictor and builder for both fpgas and asics P Xu, X Zhang, C Hao, Y Zhao, Y Zhang, Y Wang, C Li, Z Guan, D Chen, ... Proceedings of the 2020 ACM/SIGDA International Symposium on Field …, 2020 | 105 | 2020 |
| E2-train: Training state-of-the-art cnns with over 80% energy savings Y Wang, Z Jiang, X Chen, P Xu, Y Zhao, Y Lin, Z Wang Advances in Neural Information Processing Systems 32, 2019 | 88 | 2019 |
| Timely: Pushing data movements and interfaces in pim accelerators towards local and in time domain W Li, P Xu, Y Zhao, H Li, Y Xie, Y Lin 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 74 | 2020 |
| Memory trojan attack on neural network accelerators Y Zhao, X Hu, S Li, J Ye, L Deng, Y Ji, J Xu, D Wu, Y Xie 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019 | 51 | 2019 |
| Smartexchange: Trading higher-cost memory storage/access for lower-cost computation Y Zhao, X Chen, Y Wang, C Li, H You, Y Fu, Y Xie, Z Wang, Y Lin 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 49 | 2020 |
| Dnn-chip predictor: An analytical performance predictor for dnn accelerators with various dataflows and hardware architectures Y Zhao, C Li, Y Wang, P Xu, Y Zhang, Y Lin ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 49 | 2020 |
| Vitcod: Vision transformer acceleration via dedicated algorithm and accelerator co-design H You, Z Sun, H Shi, Z Yu, Y Zhao, Y Zhang, C Li, B Li, Y Lin 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 35 | 2023 |
| Practical attacks on deep neural networks by memory trojaning X Hu, Y Zhao, L Deng, L Liang, P Zuo, J Ye, Y Lin, Y Xie IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 31 | 2020 |
| Fractrain: Fractionally squeezing bit savings both temporally and spatially for efficient dnn training Y Fu, H You, Y Zhao, Y Wang, C Li, K Gopalakrishnan, Z Wang, Y Lin Advances in Neural Information Processing Systems 33, 12127-12139, 2020 | 31 | 2020 |
| RT-NeRF: Real-time on-device neural radiance fields towards immersive AR/VR rendering C Li, S Li, Y Zhao, W Zhu, Y Lin Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | 28 | 2022 |
| A new MRAM-based process in-memory accelerator for efficient neural network training with floating point precision H Wang, Y Zhao, C Li, Y Wang, Y Lin 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 18 | 2020 |
| Energynet: Energy-efficient dynamic inference Y Wang, T Nguyen, Y Zhao, Z Wang, Y Lin, R Baraniuk | 18 | 2018 |
| 2-in-1 accelerator: Enabling random precision switch for winning both adversarial robustness and efficiency Y Fu, Y Zhao, Q Yu, C Li, Y Lin MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021 | 16 | 2021 |
| Instant-3d: Instant neural radiance field training towards on-device ar/vr 3d reconstruction S Li, C Li, W Zhu, B Yu, Y Zhao, C Wan, H You, H Shi, Y Lin Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 14 | 2023 |
| Packet pump: Overcoming network bottleneck in on-chip interconnects for GPGPUs X Cheng, Y Zhao, H Zhao, Y Xie Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 11 | 2018 |
| EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design H You, C Wan, Y Zhao, Z Yu, Y Fu, J Yuan, S Wu, S Zhang, Y Zhang, C Li, ... Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 9 | 2022 |
| I-FlatCam: A 253 FPS, 91.49 µJ/frame ultra-compact intelligent lensless camera for real-time and efficient eye tracking in VR/AR Y Zhao, Z Li, Y Fu, Y Zhang, C Li, C Wan, H You, S Wu, X Ouyang, ... 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and …, 2022 | 7 | 2022 |
| e-G2C: A 0.14-to-8.31 µJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM Y Zhao, Y Zhang, Y Fu, X Ouyang, C Wan, S Wu, A Banta, MM John, ... 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and …, 2022 | 5 | 2022 |
| SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training X Chen, Y Zhao, Y Wang, P Xu, H You, C Li, Y Fu, Y Lin, Z Wang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 4 | 2022 |
Yingyan (Celine) LinAssociate Professor, Georgia Institute of Technology在 gatech.edu 的电子邮件经过验证
