Zobrazeno 1 - 10
of 13 154
pro vyhledávání: '"wei, Bin"'
Autor:
LIU, Shao-peng, HAN, Ming-yuan, CAO, Xin-yuan, ZHU, Ying-ying, YIN, Jian-tao, SUN, Zhong-ren, GAO, Wei-bin, YIN, Hong-na
Publikováno v:
In World Journal of Acupuncture – Moxibustion October 2024 34(4):325-331
Autor:
Loche, Philip, Huguenin-Dumittan, Kevin K., Honarmand, Melika, Xu, Qianjun, Rumiantsev, Egor, How, Wei Bin, Langer, Marcel F., Ceriotti, Michele
Most atomistic machine learning (ML) models rely on a locality ansatz, and decompose the energy into a sum of short-ranged, atom-centered contributions. This leads to clear limitations when trying to describe problems that are dominated by long-range
Externí odkaz:
http://arxiv.org/abs/2412.03281
Autor:
Feng, Pei-Yi, An, Zheng-Hua, Li, Yu-Hui, Le, Qi, Zhang, Da-Li, Li, Xin-Qiao, Xiong, Shao-Lin, Liu, Cong-Zhan, Liu, Wei-Bin, Wang, Jian-Li, Deng, Bing-Lin, Xu, He, Lu, Hong
The Gamma-Ray Transient Monitor (GTM) is an all-sky monitor onboard the Distant Retrograde Orbit-A (DRO-A) satellite, with the scientific objective of detecting gamma-ray bursts in the energy range of 20 keV to 1 MeV. The GTM is equipped with five Ga
Externí odkaz:
http://arxiv.org/abs/2411.18988
Autor:
Ning KX; College of Clinical Medicine, Heilongjiang University of CM, Harbin 150040, China. 1621677317@qq.com., Cui Y; College of Clinical Medicine, Heilongjiang University of CM, Harbin 150040, China., Huang F; College of Clinical Medicine, Heilongjiang University of CM, Harbin 150040, China., Sun ZR; College of Clinical Medicine, Heilongjiang University of CM, Harbin 150040, China., Yin HN; Second Affiliated Hospital of Heilongjiang University of CM, Harbin 150001. hljtcmacu@163.com., Director Gao WB; Second Affiliated Hospital of Heilongjiang University of CM, Harbin 150001.
Publikováno v:
Zhongguo zhen jiu = Chinese acupuncture & moxibustion [Zhongguo Zhen Jiu] 2023 Sep 28; Vol. 43 (11), pp. 1303-1306. Date of Electronic Publication: 2023 Sep 28.
Autor:
Kou, Wei-Bin, Lin, Qingfeng, Tang, Ming, Ye, Rongguang, Wang, Shuai, Zhu, Guangxu, Wu, Yik-Chung
Street Scene Semantic Understanding (denoted as TriSU) is a complex task for autonomous driving (AD). However, inference model trained from data in a particular geographical region faces poor generalization when applied in other regions due to inter-
Externí odkaz:
http://arxiv.org/abs/2409.19560
Autor:
Yang, Jinlong, Shang, Hengchao, Wei, Daimeng, Guo, Jiaxin, Li, Zongyao, Wu, Zhanglin, Rao, Zhiqiang, Li, Shaojun, Xie, Yuhao, Luo, Yuanchang, Zheng, Jiawei, Wei, Bin, Yang, Hao
This paper describes the submissions of Huawei Translation Services Center(HW-TSC) to WMT24 chat translation shared task on English$\leftrightarrow$Germany (en-de) bidirection. The experiments involved fine-tuning models using chat data and exploring
Externí odkaz:
http://arxiv.org/abs/2409.16331
Autor:
Wei, Bin, Zhen, Jiawei, Li, Zongyao, Wu, Zhanglin, Wei, Daimeng, Guo, Jiaxin, Rao, Zhiqiang, Li, Shaojun, Luo, Yuanchang, Shang, Hengchao, Yang, Jinlong, Xie, Yuhao, Yang, Hao
This paper introduces the submission by Huawei Translation Center (HW-TSC) to the WMT24 Indian Languages Machine Translation (MT) Shared Task. To develop a reliable machine translation system for low-resource Indian languages, we employed two distinc
Externí odkaz:
http://arxiv.org/abs/2409.15879
Autor:
Wu, Zhanglin, Luo, Yuanchang, Wei, Daimeng, Zheng, Jiawei, Wei, Bin, Li, Zongyao, Shang, Hengchao, Guo, Jiaxin, Li, Shaojun, Zhang, Weidong, Xie, Ning, Yang, Hao
This paper presents the submission of Huawei Translation Services Center (HW-TSC) to machine translation tasks of the 20th China Conference on Machine Translation (CCMT 2024). We participate in the bilingual machine translation task and multi-domain
Externí odkaz:
http://arxiv.org/abs/2409.14842
Autor:
Kou, Wei-Bin, Zhu, Guangxu, Ye, Rongguang, Lin, Qingfeng, Ren, Zeyi, Tang, Ming, Wu, Yik-Chung
Various adverse weather conditions pose a significant challenge to autonomous driving (AD) street scene semantic understanding (segmentation). A common strategy is to minimize the disparity between images captured in clear and adverse weather conditi
Externí odkaz:
http://arxiv.org/abs/2409.14737
Quantum collision model provides a promising tool for investigating system-bath dynamics. Most of the studies on quantum collision models work in the resonant regime. In quantum dynamics, the off-resonant interaction often brings in exciting ffects.
Externí odkaz:
http://arxiv.org/abs/2409.12738