| Drawing Early-Bird Tickets: Towards More Efficient Training of Deep Networks H You, C Li, P Xu, Y Fu, Y Wang, X Chen, Y Lin, Z Wang, RG Baraniuk ICLR 2020 Spotlight, 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 ICLR 2021 Spotlight, 2021 | 106 | 2021 |
| I-GCN: A graph convolutional network accelerator with runtime locality enhancement through islandization T Geng, C Wu, Y Zhang, C Tan, C Xie, H You, M Herbordt, Y Lin, A Li MICRO 2021, 1051-1063, 2021 | 82 | 2021 |
| Shiftaddnet: A hardware-inspired deep network H You, X Chen, Y Zhang, C Li, S Li, Z Liu, Z Wang, Y Lin NeurIPS 2020, 2020 | 74 | 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 ISCA 2020, 2020 | 48 | 2020 |
| GCoD: Graph convolutional network acceleration via dedicated algorithm and accelerator co-design H You, T Geng, Y Zhang, A Li, Y Lin HPCA 2022, 460-474, 2022 | 37 | 2022 |
| 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 NeurIPS 2020, 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 HPCA 2023, 2022 | 28 | 2022 |
| Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets H You, Z Lu, Z Zhou, Y Fu, Y Lin AAAI 2022, 2022 | 28* | 2022 |
| HALO: Hardware-aware learning to optimize C Li, T Chen, H You, Z Wang, Y Lin ECCV 2020, 500-518, 2020 | 25 | 2020 |
| G-CoS: Gnn-accelerator co-search towards both better accuracy and efficiency Y Zhang, H You, Y Fu, T Geng, A Li, Y Lin ICCAD 2021, 1-9, 2021 | 21 | 2021 |
| Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling H You, Y Cheng, T Cheng, C Li, P Zhou IEEE TNNLS 2020, 2018 | 17 | 2018 |
| DNA: Differentiable network-accelerator co-search Y Zhang, Y Fu, W Jiang, C Li, H You, M Li, V Chandra, Y Lin ISLPED 2021, 2020 | 16 | 2020 |
| Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction S Li, C Li, W Zhu, C Wan, H You, H Shi, Y Lin ISCA 2023, 2023 | 12 | 2023 |
| Castling-vit: Compressing self-attention via switching towards linear-angular attention at vision transformer inference H You, Y Xiong, X Dai, B Wu, P Zhang, H Fan, P Vajda, YC Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
| ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks H You, B Li, H Shi, Y Fu, Y Lin ICML 2022, 2022 | 9 | 2022 |
| 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 ISLPED 2021, 1-6, 2021 | 7 | 2021 |
| SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning H You, B Li, Z Sun, X Ouyang, Y Lin ECCV 2022, 2022 | 6 | 2022 |
| 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, ... ISCA 2022, 2022 | 6 | 2022 |
| Max-Affine Spline Insights Into Deep Network Pruning R Balestriero, H You, Z Lu, Y Kou, H Shi, Y Lin, R Baraniuk TMLR 2022, 2021 | 6* | 2021 |
Yingyan (Celine) LinAssociate Professor, Georgia Institute of TechnologyVerified email at gatech.edu
