Követés
Zhifan Ye
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
182023
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
112023
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
42023
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
32023
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
32022
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
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
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