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 | 24 | 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 |
SASA: A scalable and automatic stencil acceleration framework for optimized hybrid spatial and temporal parallelism on HBM-based FPGAs X Tian, Z Ye, A Lu, L Guo, Y Chi, Z Fang ACM Transactions on Reconfigurable Technology and Systems 16 (2), 1-33, 2023 | 5 | 2023 |
Gen-nerf: Efficient and generalizable neural radiance fields via algorithm-hardware co-design Y Fu, Z Ye, J Yuan, S Zhang, S Li, H You, Y Lin Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 4 | 2023 |
Losses can be blessings: Routing self-supervised speech representations towards efficient multilingual and multitask speech processing Y Fu, Y Zhang, K Qian, Z Ye, Z Yu, CIJ Lai, C Lin Advances in Neural Information Processing Systems 35, 20902-20920, 2022 | 3 | 2022 |
Omni-Recon: Towards General-Purpose Neural Radiance Fields for Versatile 3D Applications Y Fu, H Qu, Z Ye, C Li, K Zhao, Y Lin arXiv preprint arXiv:2403.11131, 2024 | | 2024 |
S-DAMON: Bridging Self-Supervised Speech Models and Real-time Speech Recognition Y Fu, Z Ye, S Zhang, J Yuan, Z Yu, Y Lin | | 2022 |
S-DAMON: Unlocking Structured Sparsity in Self-Supervised Speech Models via Data-Model Co-Compression Y Fu, Z Ye, Z Yu, YC Lin | | |
Supplementary Materials of Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing Y Fu, Y Zhang, K Qian, Z Ye, Z Yu, CI Lai, YC Lin | | |