| 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 The Eighth International Conference on Learning Representations (ICLR 2020), 2019 | 299 | 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 The Ninth International Conference on Learning Representations (ICLR 2021), 2021 | 145 | 2021 |
| AutoGan-Distiller: Searching to Compress Generative Adversarial Networks Y Fu, W Chen, H Wang, H Li, Y Lin, Z Wang The 37th International Conference on Machine Learning (ICML 2020), 2020 | 111 | 2020 |
| Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? Y Fu, S Zhang, S Wu, C Wan, Y Lin The Tenth International Conference on Learning Representations (ICLR 2022), 2022 | 90 | 2022 |
| 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, Y Lin 2023 International Conference On Computer Aided Design (ICCAD 2023), 2023 | 65 | 2023 |
| Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference J Shen, Y Wang, P Xu, Y Fu, Z Wang, Y Lin The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 2020 | 54 | 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 IEEE/ACM International Symposium on Computer Architecture (ISCA 2020), 2020 | 53 | 2020 |
| CPT: Efficient Deep Neural Network Training via Cyclic Precision Y Fu, H Guo, M Li, X Yang, Y Ding, V Chandra, Y Lin The Ninth International Conference on Learning Representations (ICLR 2021), 2021 | 44 | 2021 |
| 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 The 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | 38 | 2020 |
| Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks Y Fu, Q Yu, Y Zhang, S Wu, X Ouyang, D Cox, Y Lin The 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021 | 34 | 2021 |
| 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 Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2022) 36 …, 2022 | 33 | 2022 |
| Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference Y Fu, Q Yu, M Li, V Chandra, Y Lin The 38th International Conference on Machine Learning (ICML 2021), 2021 | 33 | 2021 |
| G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency Y Zhang, H You, Y Fu, T Geng, A Li, Y Lin 40th International Conference On Computer Aided Design (ICCAD 2021), 2021 | 30 | 2021 |
| Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators Y Fu, Y Zhang, Y Zhang, D Cox, Y Lin The 38th International Conference on Machine Learning (ICML 2021), 2021 | 26 | 2021 |
| MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation Z Yu, Y Fu, S Li, C Li, Y Lin The 36th Association for the Advancement of Artificial Intelligence (AAAI 2022), 2021 | 23 | 2021 |
| Towards cognitive ai systems: a survey and prospective on neuro-symbolic ai Z Wan, CK Liu, H Yang, C Li, H You, Y Fu, C Wan, T Krishna, Y Lin, ... arXiv preprint arXiv:2401.01040, 2024 | 20 | 2024 |
| 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 54th IEEE/ACM International Symposium on Microarchitecture (MICRO 2021), 2021 | 20 | 2021 |
| DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks Y Fu, H Yang, J Yuan, M Li, C Wan, R Krishnamoorthi, V Chandra, Y Lin The 39th International Conference on Machine Learning (ICML 2022), 2022 | 19 | 2022 |
| 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 | 19 | 2020 |
| ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks H You, B Li, H Shi, Y Fu, Y Lin The 39th International Conference on Machine Learning (ICML 2022), 2022 | 17 | 2022 |
Yingyan (Celine) LinAssociate Professor, Georgia Institute of TechnologyZweryfikowany adres z gatech.edu