Zobrazeno 1 - 10
of 232
pro vyhledávání: '"Jin, Yuchen"'
Open-source Large Language Models (LLMs) have recently demonstrated remarkable capabilities in natural language understanding and generation, leading to widespread adoption across various domains. However, their increasing model sizes render local de
Externí odkaz:
http://arxiv.org/abs/2410.22307
Autor:
Huang, Wenqiang, Jin, Yuchen, Li, Zhemin, Yao, Lin, Chen, Yun, Luo, Zheng, Zhou, Shen, Lin, Jinguo, Liu, Feng, Gao, Zhifeng, Cheng, Jun, Zhang, Linfeng, Ouyang, Fangping, Zhang, Jin, Wang, Shanshan
Unveiling atomic structures is significant for the relationship construction between microscopic configurations and macroscopic properties of materials. However, we still lack a rapid, accurate, and robust approach to automatically resolve complex pa
Externí odkaz:
http://arxiv.org/abs/2408.16802
Autor:
Lai, Ruihang, Shao, Junru, Feng, Siyuan, Lyubomirsky, Steven S., Hou, Bohan, Lin, Wuwei, Ye, Zihao, Jin, Hongyi, Jin, Yuchen, Liu, Jiawei, Jin, Lesheng, Cai, Yaxing, Jiang, Ziheng, Wu, Yong, Park, Sunghyun, Srivastava, Prakalp, Roesch, Jared G., Mowry, Todd C., Chen, Tianqi
Dynamic shape computations have become critical in modern machine learning workloads, especially in emerging large language models. The success of these models has driven demand for deploying them to a diverse set of backend environments. In this pap
Externí odkaz:
http://arxiv.org/abs/2311.02103
Autor:
JIN Yuchen, LI Zhichao
Publikováno v:
Cailiao gongcheng, Vol 52, Iss 2, Pp 135-145 (2024)
Electrical steel, also known as silicon steel, is an important special steel and is often referred to as the "work of art" among special steels. This is mainly due to the complexity of its processing and preparation processes, and the wide range of f
Externí odkaz:
https://doaj.org/article/8774806be06049a7bdf8e2d2fa250ae4
Publikováno v:
In Engineering Fracture Mechanics 22 August 2024 307
Publikováno v:
In Journal of Ethnopharmacology 23 May 2024 326
Inhibition of CISD1 attenuates cisplatin-induced hearing loss in mice via the PI3K and MAPK pathways
Autor:
Dong, Wenqi, Jiang, Yumeng, Yao, Qingxiu, Xu, Maoxiang, Jin, Yuchen, Dong, Lingkang, Li, Zhuangzhuang, Yu, Dongzhen
Publikováno v:
In Biochemical Pharmacology May 2024 223
Autor:
Jin, Yuchen, Zhou, Tianyi, Zhao, Liangyu, Zhu, Yibo, Guo, Chuanxiong, Canini, Marco, Krishnamurthy, Arvind
The learning rate (LR) schedule is one of the most important hyper-parameters needing careful tuning in training DNNs. However, it is also one of the least automated parts of machine learning systems and usually costs significant manual effort and co
Externí odkaz:
http://arxiv.org/abs/2105.10762
Autor:
Jin, Yuchen1 (AUTHOR) 2020020454@buct.edu.cn, Zhao, Lizhu1 (AUTHOR), Jiang, Ya1 (AUTHOR), Zhang, Xiaoyuan1 (AUTHOR) xiaoyuan.zhang@buct.edu.cn, Su, Zhiqiang1 (AUTHOR) xiaoyuan.zhang@buct.edu.cn
Publikováno v:
Materials (1996-1944). Mar2024, Vol. 17 Issue 6, p1275. 17p.
For the purpose of effective suppression of the cycle-skipping phenomenon in full waveform inversion (FWI), we developed a Deep Neural Network (DNN) approach to predict the absent low-frequency components by exploiting the implicit relation connectin
Externí odkaz:
http://arxiv.org/abs/1912.09944