| Leandojo: Theorem proving with retrieval-augmented language models K Yang, A Swope, A Gu, R Chalamala, P Song, S Yu, S Godil, RJ Prenger, ... Advances in Neural Information Processing Systems 36, 2024 | 203 | 2024 |
| Unified visual transformer compression S Yu, T Chen, J Shen, H Yuan, J Tan, S Yang, J Liu, Z Wang arXiv preprint arXiv:2203.08243, 2022 | 110 | 2022 |
| Hessian-aware pruning and optimal neural implant S Yu, Z Yao, A Gholami, Z Dong, S Kim, MW Mahoney, K Keutzer Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 67 | 2022 |
| Hessian regularization of deep neural networks: A novel approach based on stochastic estimators of Hessian trace Y Liu, S Yu, T Lin Neurocomputing 536, 13-20, 2023 | 10 | 2023 |
| FLORA: Fine-grained Low-Rank Architecture Search for Vision Transformer CC Chang, YY Sung, S Yu, NC Huang, D Marculescu, KC Wu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 5 | 2024 |
| Trimsformer: Trimming Transformer via Searching for Low-Rank Structure YY Sung, CC Chang, S Yu, YS Han, D Marculescu, KC Wu | 2 | |
| Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design J Meng, Y Liao, A Anupreetham, A Hasssan, S Yu, H Suh, X Hu, J Seo Proceedings of Machine Learning and Systems 6, 367-380, 2024 | 1 | 2024 |
| Efficient Vision Transformers: a report leveraging low-rank NAS and optimization for compact and high-performance models S Yu | | 2023 |
| Regularizing Deep Neural Networks with Stochastic Estimators of Hessian Trace Y Liu, S Yu, T Lin arXiv preprint arXiv:2208.05924, 2022 | | 2022 |
| Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning S Yu, Y Ma, W Yang, W Xiang, J Liu 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 3120-3124, 2022 | | 2022 |
Amir GholamiResearch Scientist, University of California, Berkeley在 eecs.berkeley.edu 的电子邮件经过验证
