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2020 – today
- 2024
[c2]Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang:
Rethinking Optimization and Architecture for Tiny Language Models. ICML 2024- [i4]Yehui Tang, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Kai Han, Yunhe Wang:
Rethinking Optimization and Architecture for Tiny Language Models. CoRR abs/2402.02791 (2024) - [i3]Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Kai Han, Yunhe Wang:
Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting. CoRR abs/2404.18911 (2024) - [i2]Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang:
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. CoRR abs/2405.07542 (2024) - 2022
- [c1]Yunsheng Ni, Depu Meng
, Changqian Yu, Chengbin Quan, Dongchun Ren, Youjian Zhao:
CORE: Consistent Representation Learning for Face Forgery Detection. CVPR Workshops 2022: 12-21 - [i1]Yunsheng Ni, Depu Meng, Changqian Yu, Chengbin Quan, Dongchun Ren, Youjian Zhao:
CORE: Consistent Representation Learning for Face Forgery Detection. CoRR abs/2206.02749 (2022)
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