| Drawing early-bird tickets: Towards more efficient training of deep networks H You, C Li, P Xu, Y Fu, Y Wang, X Chen, RG Baraniuk, Z Wang, Y Lin arXiv preprint arXiv:1909.11957, 2019 | 248 | 2019 |
| 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 | 109 | 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 | 100 | 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 | 75 | 2020 |
| 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 | 48 | 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 | 47 | 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 |
| 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 | 29 | 2023 |
| Fbnetv5: Neural architecture search for multiple tasks in one run B Wu, C Li, H Zhang, X Dai, P Zhang, M Yu, J Wang, Y Lin, P Vajda arXiv preprint arXiv:2111.10007, 2021 | 27 | 2021 |
| Halo: Hardware-aware learning to optimize C Li, T Chen, H You, Z Wang, Y Lin European Conference on Computer Vision, 500-518, 2020 | 25 | 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 | 24 | 2022 |
| Vitality: Unifying low-rank and sparse approximation for vision transformer acceleration with a linear taylor attention J Dass, S Wu, H Shi, C Li, Z Ye, Z Wang, Y Lin 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 23 | 2023 |
| Locality sensitive teaching Z Xu, B Chen, C Li, W Liu, L Song, Y Lin, A Shrivastava Advances in Neural Information Processing Systems 34, 18049-18062, 2021 | 18 | 2021 |
| 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 |
| Dna: Differentiable network-accelerator co-search Y Zhang, Y Fu, W Jiang, C Li, H You, M Li, V Chandra, Y Lin arXiv preprint arXiv:2010.14778, 2020 | 16 | 2020 |
| 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 | 15 | 2022 |
| 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 | 14 | 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 | 13 | 2023 |
| Gpt4aigchip: Towards next-generation ai accelerator design automation via large language models Y Fu, Y Zhang, Z Yu, S Li, Z Ye, C Li, C Wan, YC Lin 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 12 | 2023 |
| DIAN: Differentiable accelerator-network co-search towards maximal dnn efficiency Y Zhang, Y Fu, W Jiang, C Li, H You, M Li, V Chandra, Y Lin 2021 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2021 | 8 | 2021 |
