| Autofreeze: Automatically freezing model blocks to accelerate fine-tuning Y Liu, S Agarwal, S Venkataraman arXiv preprint arXiv:2102.01386, 2021 | 43 | 2021 |
| Multi defect detection and analysis of electron microscopy images with deep learning M Shen, G Li, D Wu, Y Liu, JRC Greaves, W Hao, NJ Krakauer, L Krudy, ... Computational Materials Science 199, 110576, 2021 | 36 | 2021 |
| Performance and limitations of deep learning semantic segmentation of multiple defects in transmission electron micrographs R Jacobs, M Shen, Y Liu, W Hao, X Li, R He, JRC Greaves, D Wang, Z Xie, ... Cell Reports Physical Science 3 (5), 2022 | 21 | 2022 |
| Accelerating deep learning inference via learned caches A Balasubramanian, A Kumar, Y Liu, H Cao, S Venkataraman, A Akella arXiv preprint arXiv:2101.07344, 2021 | 13 | 2021 |
| CacheGen: Fast Context Loading for Language Model Applications Y Liu, H Li, K Du, J Yao, Y Cheng, Y Huang, S Lu, M Maire, H Hoffmann, ... arXiv preprint arXiv:2310.07240, 2023 | 1 | 2023 |
| OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation K Du, Y Liu, Y Hao, Q Zhang, H Wang, Y Huang, G Ananthanarayanan, ... Proceedings of the 2023 ACM Symposium on Cloud Computing, 158-176, 2023 | | 2023 |
| Run-Time Prevention of Software Integration Failures of Machine Learning APIs C Wan, Y Liu, K Du, H Hoffmann, J Jiang, M Maire, S Lu Proceedings of the ACM on Programming Languages 7 (OOPSLA2), 264-291, 2023 | | 2023 |
| Automatic and Efficient Customization of Neural Networks for ML Applications Y Liu, C Wan, K Du, H Hoffmann, J Jiang, S Lu, M Maire arXiv preprint arXiv:2310.04685, 2023 | | 2023 |
| GRACE: Loss-Resilient Real-Time Video through Neural Codecs Y Cheng, Z Zhang, H Li, A Arapin, Y Zhang, Q Zhang, Y Liu, K Du, ... | | |
