Zobrazeno 1 - 10
of 947
pro vyhledávání: '"Zhu Zhihui"'
Autor:
Zhang Jianghui, Zhang Xueqing, Zhang Kexin, Lu Xiaoyan, Yuan Guojing, Yang Huayu, Guo Haiyun, Zhu Zhihui, Wang Tianli, Hao Jiahu, Sun Ying, Su Puyu, Zhang Zhihua
Publikováno v:
Polish Journal of Microbiology, Vol 71, Iss 2, Pp 241-250 (2022)
With the development of genome sequencing, many researchers have investigated the mechanism by which the intestinal microbiota influences sleep across the brain-gut axis. However, the relationship between gut microbiota and sleep disorder remains unc
Externí odkaz:
https://doaj.org/article/8427d45243364a3e9e00f17eec37e45f
Autor:
Gao Jianping, Zhu Zhihui, Samsilah Roslan, Zeinab Zaremohzzabieh, Nur Aimi Nasuha Burhanuddin, Soh Kim Geok
Publikováno v:
Frontiers in Psychology, Vol 13 (2023)
IntroductionIncreasing the hardiness of students is a crucial objective in higher education. Universities and colleges have created a variety of interventions to improve students' overall hardiness.MethodsIn terms of the effects of such interventions
Externí odkaz:
https://doaj.org/article/a48aea6c69aa4c7384814d30185d7c78
Autor:
ZHU Zhihui, HOU Yingzi, ZHAO Ruiqi, WU Limeng, LEI Zhenghui, FENG Guodong, GAO Zhiqiang, ZHANG Tao
Publikováno v:
Xiehe Yixue Zazhi, Vol 12, Iss 6, Pp 922-932 (2021)
Objective To explore the methods for the reconstruction of lateral skull base defects after radical tumor resection. Methods Patients who underwent lateral skull base radical tumor resection and reconstruction from January 1, 2012 to December 31, 201
Externí odkaz:
https://doaj.org/article/a5061301de1543d1ac6ef419b6ec60ab
Quantum state tomography (QST) remains the gold standard for benchmarking and verification of near-term quantum devices. While QST for a generic quantum many-body state requires an exponentially large amount of resources, most physical quantum states
Externí odkaz:
http://arxiv.org/abs/2408.07115
Analyzing the similarity of internal representations within and across different models has been an important technique for understanding the behavior of deep neural networks. Most existing methods for analyzing the similarity between representations
Externí odkaz:
http://arxiv.org/abs/2406.14479
Autor:
Qin, Zhen, Zhu, Zhihui
Recently, a tensor-on-tensor (ToT) regression model has been proposed to generalize tensor recovery, encompassing scenarios like scalar-on-tensor regression and tensor-on-vector regression. However, the exponential growth in tensor complexity poses c
Externí odkaz:
http://arxiv.org/abs/2406.06002
The maximal coding rate reduction (MCR$^2$) objective for learning structured and compact deep representations is drawing increasing attention, especially after its recent usage in the derivation of fully explainable and highly effective deep network
Externí odkaz:
http://arxiv.org/abs/2406.01909
Existing angle-based contour descriptors suffer from lossy representation for non-starconvex shapes. By and large, this is the result of the shape being registered with a single global inner center and a set of radii corresponding to a polar coordina
Externí odkaz:
http://arxiv.org/abs/2404.08292
We study reinforcement learning in the presence of an unknown reward perturbation. Existing methodologies for this problem make strong assumptions including reward smoothness, known perturbations, and/or perturbations that do not modify the optimal p
Externí odkaz:
http://arxiv.org/abs/2401.05710
In this paper, we provide the first convergence guarantee for the factorization approach. Specifically, to avoid the scaling ambiguity and to facilitate theoretical analysis, we optimize over the so-called left-orthogonal TT format which enforces ort
Externí odkaz:
http://arxiv.org/abs/2401.02592