Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Haoyu Qin"'
Autor:
Haoyu Qin, Shaohu Chen, Weixuan Zhang, Huizhen Zhang, Ruhao Pan, Junjie Li, Lei Shi, Jian Zi, Xiangdong Zhang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Trapping electromagnetic waves within the radiation continuum holds significant implications in the field of optical science and technology. Photonic bound states in the continuum (BICs) present a distinctive approach for achieving this func
Externí odkaz:
https://doaj.org/article/7621797bd57347678991dbbfcf134ee9
Autor:
Yaning Wang, Yuchen Li, Haoyu Qin, Yangui Zhu, Yibo Yao, Jin Jin, Tao Zheng, Qingting Qian, De Chen
Publikováno v:
Buildings, Vol 14, Iss 7, p 1901 (2024)
In order to investigate the deformation characteristics of interbedded weak expansive rocks in water immersion, the sandstone–mudstone interbedded structures were taken as the object of this study. A total of 27 sets of indoor immersion tests were
Externí odkaz:
https://doaj.org/article/806ffa7e5aa44f788a16e832b4792f0e
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:1711-1719
Within the field of face recognition (FR), it is widely accepted that the key objective is to optimize the entire feature space in the training process and acquire robust feature representations. However, most real-world FR systems tend to operate at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f5fc1e173972c24d4e87ec1a05cc9db
https://doi.org/10.1609/aaai.v36i2.20063
https://doi.org/10.1609/aaai.v36i2.20063
Autor:
Haoyu Qin, Renhua Wan
Publikováno v:
Journal of Oncology. 2022:1-9
Circular RNAs have a unique covalent closed-loop structure, which is mainly formed by the reverse splicing of exons from a precursor mRNA. With the development of key technologies such as high-throughput sequencing and the advancement of bioinformati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d3bc9da86ee5fe4f5b8b6a4b5cd1d4c
https://doi.org/10.1155/2022/3015818
https://doi.org/10.1155/2022/3015818
Autor:
Haoyu Qin
Publikováno v:
Proceedings of the 2022 3rd International Conference on Mental Health, Education and Human Development (MHEHD 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26fb67810b70d3252c7a074a9f524d92
https://doi.org/10.2991/assehr.k.220704.017
https://doi.org/10.2991/assehr.k.220704.017
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197741
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6978b2ec5ccb98ba01902d84f5701d1f
https://doi.org/10.1007/978-3-031-19775-8_32
https://doi.org/10.1007/978-3-031-19775-8_32
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197741
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::108a788f6134d62233c271a735974e98
https://doi.org/10.1007/978-3-031-19775-8_40
https://doi.org/10.1007/978-3-031-19775-8_40
Publikováno v:
CVPR
This paper proposes the dynamic recursive neural network (DRNN), which simplifies the duplicated building blocks in deep neural network. Different from forwarding through different blocks sequentially in previous networks, we demonstrate that the DRN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15f6e8e333e3339e74fdd4691bb9b9a1
https://doi.org/10.1109/cvpr.2019.00529
https://doi.org/10.1109/cvpr.2019.00529
Publikováno v:
CVPR
In this paper, we raise a new problem, namely cross model face recognition (CMFR), which has considerable economic and social significance. The core of this problem is to make features extracted from different models comparable. However, the diversit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48816283eca093286d6c9ca56d1dfcf9
https://doi.org/10.1109/cvpr.2019.01010
https://doi.org/10.1109/cvpr.2019.01010
Publikováno v:
2017 17th International Conference on Control, Automation and Systems (ICCAS).
Emotion elicitation experiments are conducted to collect biological signals from a subject who is in a state of emotion. The recorded signals are used as training/test dataset for constructing an emotion recognition system by means of machine learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f3808cbad3f7016f22f163275f72285
https://doi.org/10.23919/iccas.2017.8204459
https://doi.org/10.23919/iccas.2017.8204459