Zobrazeno 1 - 10
of 491
pro vyhledávání: '"Wang, Yihe"'
Autor:
Sun, Shuo, You, Jing-Yang, Cai, Zhihao, Su, Jie, Yang, Tong, Peng, Xinnan, Wang, Yihe, Geng, Daiyu, Gou, Jian, Huang, Yuli, Duan, Sisheng, Chen, Lan, Wu, Kehui, Wee, Andrew T. S., Feng, Yuan Ping, Zhang, Jia Lin, Lu, Jiong, Feng, Baojie, Chen, Wei
Materials with topological flat bands can serve as a promising platform to investigate strongly interacting phenomena. However, experimental realization of ideal flat bands is mostly limited to artificial lattices or moir\'e systems. Here we report a
Externí odkaz:
http://arxiv.org/abs/2407.08353
Medical time series data, such as Electroencephalography (EEG) and Electrocardiography (ECG), play a crucial role in healthcare, such as diagnosing brain and heart diseases. Existing methods for medical time series classification primarily rely on ha
Externí odkaz:
http://arxiv.org/abs/2405.19363
Autor:
Chen, Jian, Chen, Mingcong, Zhao, Qingxiang, Wang, Shuai, Wang, Yihe, Xiao, Ying, Hu, Jian, Chan, Danny Tat Ming, Yeung, Kam Tong Leo, Chan, David Yuen Chung, Liu, Hongbin
Traditional rigid endoscopes have challenges in flexibly treating tumors located deep in the brain, and low operability and fixed viewing angles limit its development. This study introduces a novel dual-segment flexible robotic endoscope MicroNeuro,
Externí odkaz:
http://arxiv.org/abs/2402.09679
Weak gravitational lensing is an invaluable tool for understanding fundamental cosmological physics. An unresolved issue in weak lensing cosmology is to accurately reconstruct the lensing convergence $\kappa$ maps from discrete shear catalog with sur
Externí odkaz:
http://arxiv.org/abs/2311.00316
Publikováno v:
NeurIPS 2023
Contrastive representation learning is crucial in medical time series analysis as it alleviates dependency on labor-intensive, domain-specific, and scarce expert annotations. However, existing contrastive learning methods primarily focus on one singl
Externí odkaz:
http://arxiv.org/abs/2310.14017
Video game testing requires game-specific knowledge as well as common sense reasoning about the events in the game. While AI-driven agents can satisfy the first requirement, it is not yet possible to meet the second requirement automatically. Therefo
Externí odkaz:
http://arxiv.org/abs/2210.02506
Autor:
Wang, Wei1 (AUTHOR), Wang, Yihe2 (AUTHOR), Wang, Feng3 (AUTHOR), Chen, Hui4,5 (AUTHOR), Qin, Xiaqing6 (AUTHOR), Yang, Lexia7 (AUTHOR), Yang, Xiaorong4,5 (AUTHOR) yangxiaorong@sdu.edu.cn, Yang, Lejin1 (AUTHOR) yanglejin@sdu.edu.cn
Publikováno v:
BMC Public Health. 6/13/2024, Vol. 24 Issue 1, p1-15. 15p.
Autor:
Wang, Yihe, Li, Yitong, Wang, Yasheng, Mi, Fei, Zhou, Pingyi, Wang, Xin, Liu, Jin, Jiang, Xin, Liu, Qun
Real human conversation data are complicated, heterogeneous, and noisy, from which building open-domain dialogue systems remains a challenging task. In fact, such dialogue data still contains a wealth of information and knowledge, however, they are n
Externí odkaz:
http://arxiv.org/abs/2201.11367
Publikováno v:
In Chemosphere July 2024 359
Autor:
Sun, Shuo, You, Jing-Yang, Duan, Sisheng, Gou, Jian, Luo, Yongzheng, Lin, Weinan, Lian, Xu, Jin, Tengyu, Liu, Jiawei, Huang, Yuli, Wang, Yihe, Wee, Andrew T. S., Feng, Yuan Ping, Shen, Lei, Zhang, Jia Lin, Chen, Jingsheng, Chen, Wei
Quantum spin Hall (QSH) systems hold promises of low-power-consuming spintronic devices, yet their practical applications are extremely impeded by the small energy gaps. Fabricating QSH materials with large gaps, especially under the guidance of desi
Externí odkaz:
http://arxiv.org/abs/2110.02461