Zobrazeno 1 - 10
of 267
pro vyhledávání: '"ZHU YiJie"'
Autor:
Xiang, Zhe-Ning, Zhang, Ying-Jie, Lu, Qing, Li, Qing, Li, Yiwen, Huang, Tianheng, Zhu, Yijie, Ye, Yongze, Sun, Jian, Wen, Hai-Hu
Publikováno v:
Adv. Mater. 2024, 2416882
The discovery of superconductivity in 3$d$-transition metal compounds with strong magnetism is interesting but rare. Especially for Mn-based compounds, there exist only very limited materials that show superconductivity. Here, we report the discovery
Externí odkaz:
http://arxiv.org/abs/2407.06061
The precise prediction of multi-scale traffic is a ubiquitous challenge in the urbanization process for car owners, road administrators, and governments. In the case of complex road networks, current and past traffic information from both upstream an
Externí odkaz:
http://arxiv.org/abs/2405.05985
Autor:
Zhang, Ying-Jie, Zhu, Yijie, Li, Qing, Xiang, Zhe-Ning, Huang, Tianheng, Sun, Jian, Wen, Hai-Hu
Publikováno v:
J. Am. Chem. Soc. 2024, 146, 21110-21119
It is well-known that magnetic moments are very harmful to superconductivity. A typical example is the element Mn whose compounds usually exhibit strong magnetism. Thus, it is very hard to achieve superconductivity in materials containing Mn. Here, w
Externí odkaz:
http://arxiv.org/abs/2404.14182
Autor:
Zhao, Yao, Wu, Tao, Zhu, Yijie, Lu, Xiang, Wang, Jun, Bou-Ammar, Haitham, Zhang, Xinyu, Du, Peng
We present ZSL-RPPO, an improved zero-shot learning architecture that overcomes the limitations of teacher-student neural networks and enables generating robust, reliable, and versatile locomotion for quadrupedal robots in challenging terrains. We pr
Externí odkaz:
http://arxiv.org/abs/2403.01928
Autor:
Zheng, Shen, Zhang, Yuyu, Zhu, Yijie, Xi, Chenguang, Gao, Pengyang, Zhou, Xun, Chang, Kevin Chen-Chuan
With the rapid advancement of large language models (LLMs), there is a pressing need for a comprehensive evaluation suite to assess their capabilities and limitations. Existing LLM leaderboards often reference scores reported in other papers without
Externí odkaz:
http://arxiv.org/abs/2309.16583
Marine debris is an important issue for environmental protection, but current methods for locating marine debris are yet limited. In order to achieve higher efficiency and wider applicability in the localization of Marine debris, this study tries to
Externí odkaz:
http://arxiv.org/abs/2307.04128
Autor:
Liu, Zhuoran, Zou, Leqi, Zou, Xuan, Wang, Caihua, Zhang, Biao, Tang, Da, Zhu, Bolin, Zhu, Yijie, Wu, Peng, Wang, Ke, Cheng, Youlong
Building a scalable and real-time recommendation system is vital for many businesses driven by time-sensitive customer feedback, such as short-videos ranking or online ads. Despite the ubiquitous adoption of production-scale deep learning frameworks
Externí odkaz:
http://arxiv.org/abs/2209.07663
Autor:
Zhu, Yijie, Beringue, Benjamin, Choi, Steve K., Battaglia, Nicholas, Meerburg, P. Daniel, Meyers, Joel
Rayleigh scattering of the cosmic microwave background (CMB) by neutral hydrogen shortly after recombination leaves frequency-dependent imprints on intensity and polarization fluctuations. High signal-to-noise observations of CMB Rayleigh scattering
Externí odkaz:
http://arxiv.org/abs/2205.04496
Autor:
Zheng, Zangwei, Xu, Pengtai, Zou, Xuan, Tang, Da, Li, Zhen, Xi, Chenguang, Wu, Peng, Zou, Leqi, Zhu, Yijie, Chen, Ming, Ding, Xiangzhuo, Xue, Fuzhao, Qin, Ziheng, Cheng, Youlong, You, Yang
The click-through rate (CTR) prediction task is to predict whether a user will click on the recommended item. As mind-boggling amounts of data are produced online daily, accelerating CTR prediction model training is critical to ensuring an up-to-date
Externí odkaz:
http://arxiv.org/abs/2204.06240
Autor:
Yu, Xiaohua, Min, Shuqiang, Zhan, Tonghuan, Wang, He, Zhu, Yijie, Huang, Yange, Wu, Xianchang, Liu, Jiahao, Chen, Zhihao, Xu, Bing
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 20 November 2024 703 Part 1
