Zobrazeno 1 - 10
of 141
pro vyhledávání: '"YU Runsheng"'
Autor:
WANG Lei, PENG Xionggang, ZHANG Hongqiang, YU Runsheng, ZHANG Peng, WU Haibiao, WU Yaru, WANG Baoyi, CAO Xingzhong, XIAO Detao, LIU Fuyan
Publikováno v:
He jishu, Vol 46, Iss 6, Pp 060402-060402 (2023)
BackgroundThe accurate acquisition and correlation coincidence of positron annihilation signal form the basis of the lifetime spectrum sensitive characterization of microscopic defects in materials. The complex radiation background interferes with th
Externí odkaz:
https://doaj.org/article/cf027ea625884a68a7241a7809283d83
Similarity matrix serves as a fundamental tool at the core of numerous downstream machine-learning tasks. However, missing data is inevitable and often results in an inaccurate similarity matrix. To address this issue, Similarity Matrix Completion (S
Externí odkaz:
http://arxiv.org/abs/2409.19550
The rapid advancement of large language models (LLMs) has revolutionized role-playing, enabling the development of general role-playing models. However, current role-playing training has two significant issues: (I) Using a predefined role profile to
Externí odkaz:
http://arxiv.org/abs/2408.10903
Reinforcement Learning from Human Feedback (RLHF) has been commonly used to align the behaviors of Large Language Models (LLMs) with human preferences. Recently, a popular alternative is Direct Policy Optimization (DPO), which replaces an LLM-based r
Externí odkaz:
http://arxiv.org/abs/2405.21040
Autor:
LIU Jinyang, LIU Fuyan, KUANG Peng, ZHANG Huaiqiang, ZHANG Peng, YU Runsheng, CAO Xingzhong, WANG Baoyi
Publikováno v:
He jishu, Vol 44, Iss 1, Pp 010401-010401 (2021)
BackgroundAngular correlation of annihilation radiation (ACAR) is a high-precision (sub-milliradian level) method for studying Fermi momentum and Fermi energy in metals. However, there are some disadvantages in traditional 1D-ACAR experimental device
Externí odkaz:
https://doaj.org/article/2f9b5af0a67a4f76beb91eda5a95f859
Autor:
Wang, Pengjie, Zhang, Rengang, Wang, Tuantuan, Li, Xuemei, Cui, Rui, Liu, Hongyu, Zhang, Peng, Cao, Xingzhong, Yu, Runsheng, Wang, Baoyi
Publikováno v:
In Optical Materials November 2024 157 Part 2
Autor:
Duan, Hui, Liu, Fuyan, Zhang, Hongqiang, Kuang, Peng, Zhang, Rengang, Zhang, Peng, Yu, Runsheng, Cao, Xingzhong, Wang, Baoyi, Zhang, Yubao
Publikováno v:
In Applied Radiation and Isotopes October 2024 212
Autor:
Fu, Liming, Song, Zhian, Yang, Qigui, Zhu, Te, Ma, Rui, Wan, Mingpan, Zhang, Peng, Yu, Runsheng, Cao, Xingzhong
Publikováno v:
In Intermetallics January 2025 176
Though deep learning-based object detection methods have achieved promising results on the conventional datasets, it is still challenging to locate objects from the low-quality images captured in adverse weather conditions. The existing methods eithe
Externí odkaz:
http://arxiv.org/abs/2112.08088
Autor:
Zeng, Minfeng, Zhang, Taojun, Chen, Jinyang, Ren, Xiaorong, Yang, Zhen, Zhang, Peng, Yu, Runsheng, Wang, Baoyi, Cao, Xingzhong
Publikováno v:
In Radiation Physics and Chemistry July 2024 220