Zobrazeno 1 - 10
of 335
pro vyhledávání: '"ZHAO Yizhou"'
Autor:
ZHAO Yizhou, LI Jianing, WANG Qiang, WU Dongsheng, ZHANG Shengyu, WU Xi, GUO Tao, JIANG Qingwei, YANG Yingyun, SHI Wen, FENG Yunlu, YANG Aiming
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 4, Pp 819-824 (2024)
ObjectiveTo explore the application value of endoscopic ultrasound fine-needle aspiration (EUS-FNA) and endoscopic retrograde cholangiopancreatography (ERCP) in the diagnosis and treatment ofpatients with pancreatic cancer combined with obstructive j
Externí odkaz:
https://doaj.org/article/894936233afa4984940d5966b24e675c
Autor:
Mao Ting, Chen Hongfa, Li Xin, Liu Yan, Zhong Shuncheng, Wang Shiyu, Zhao Yizhou, Zhang Zhan, Ni Shanjun, Huang He, Li Xu, Hu Shikai
Publikováno v:
Rice Science, Vol 30, Iss 5, Pp 359-363 (2023)
Externí odkaz:
https://doaj.org/article/17fd9813abd14dcfad0a25bfc099ea9d
Autor:
Yang, Shengqi, Lidz, Adam, Benson, Andrew, Zhao, Yizhou, Li, Hui, Zhao, Amelia, Smith, Aaron, Zhang, Yucheng, Somerville, Rachel, Pullen, Anthony
The JWST and ALMA have detected emission lines from the ionized interstellar medium (ISM), including [OII], [OIII], and hydrogen Balmer series lines, in some of the first galaxies at z>6. These measurements present an opportunity to better understand
Externí odkaz:
http://arxiv.org/abs/2409.03997
Autor:
Zhao, Yizhou, Bian, Hengwei, Mu, Michael, Uddin, Mostofa R., Li, Zhenyang, Li, Xiang, Wang, Tianyang, Xu, Min
Cryogenic Electron Tomography (CryoET) is a useful imaging technology in structural biology that is hindered by its need for manual annotations, especially in particle picking. Recent works have endeavored to remedy this issue with few-shot learning
Externí odkaz:
http://arxiv.org/abs/2407.06833
Remarkable strides have been made in reconstructing static scenes or human bodies from monocular videos. Yet, the two problems have largely been approached independently, without much synergy. Most visual SLAM methods can only reconstruct camera traj
Externí odkaz:
http://arxiv.org/abs/2405.14855
Autor:
Li, Zhenyang, Chen, Zilong, Qu, Feifan, Wang, Mingqing, Zhao, Yizhou, Zhang, Kai, Peng, Yifan
In NeRF-aided editing tasks, object movement presents difficulties in supervision generation due to the introduction of variability in object positions. Moreover, the removal operations of certain scene objects often lead to empty regions, presenting
Externí odkaz:
http://arxiv.org/abs/2405.07306
Sim2Real (Simulation to Reality) techniques have gained prominence in robotic manipulation and motion planning due to their ability to enhance success rates by enabling agents to test and evaluate various policies and trajectories. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2309.09017
Simulation-to-real is the task of training and developing machine learning models and deploying them in real settings with minimal additional training. This approach is becoming increasingly popular in fields such as robotics. However, there is often
Externí odkaz:
http://arxiv.org/abs/2307.07862
In secure summation, $K$ users, each holds an input, wish to compute the sum of the inputs at a server without revealing any information about {\em all the inputs} even if the server may collude with {\em an arbitrary subset of users}. In this work,
Externí odkaz:
http://arxiv.org/abs/2304.09771
Autor:
Gong, Ran, Huang, Jiangyong, Zhao, Yizhou, Geng, Haoran, Gao, Xiaofeng, Wu, Qingyang, Ai, Wensi, Zhou, Ziheng, Terzopoulos, Demetri, Zhu, Song-Chun, Jia, Baoxiong, Huang, Siyuan
Understanding the continuous states of objects is essential for task learning and planning in the real world. However, most existing task learning benchmarks assume discrete (e.g., binary) object goal states, which poses challenges for the learning o
Externí odkaz:
http://arxiv.org/abs/2304.04321