Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Kailai Yang"'
Autor:
Qi Chen, Kailai Yang, Meng Liang, Junjie Kang, Xiaoyan Yi, Junxi Wang, Jinmin Li, Zhiqiang Liu
Publikováno v:
Nano Convergence, Vol 10, Iss 1, Pp 1-16 (2023)
Abstract As an emerging single crystals growth technique, the 2D-material-assisted epitaxy shows excellent advantages in flexible and transferable structure fabrication, dissimilar materials integration, and matter assembly, which offers opportunitie
Externí odkaz:
https://doaj.org/article/8ce2c2858e7942dca743dfe2c8dfdb8a
Autor:
Tao Liang, Kailai Yang, Qiang Han, Chenjie Li, Junlin Li, Qingwen Deng, Shidong Chen, Xianguo Tuo
Publikováno v:
IEEE Access, Vol 11, Pp 111133-111141 (2023)
Toward the quadcopter unmanned aerial vehicle (UAV) attitude measurement problem, to improve the accuracy of acquisition of vehicle attitude parameters, and ensure accuracy of subsequent attitude control, the Quaternion-based Unscented Kalman filter
Externí odkaz:
https://doaj.org/article/2ed2adf9bd504cac832c86c65df2c9c9
In Emotion Recognition in Conversations (ERC), the emotions of target utterances are closely dependent on their context. Therefore, existing works train the model to generate the response of the target utterance, which aims to recognise emotions leve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da89977b7b94ed0a58c5a6321d1486b9
http://arxiv.org/abs/2305.14071
http://arxiv.org/abs/2305.14071
Mental illnesses are one of the most prevalent public health problems worldwide, which negatively influence people's lives and society's health. With the increasing popularity of social media, there has been a growing research interest in the early d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69921253ff4a2d38f84b4b1e3d6c4d8b
http://arxiv.org/abs/2304.09493
http://arxiv.org/abs/2304.09493
Publikováno v:
Advanced Materials. 35
A key challenge for Emotion Recognition in Conversations (ERC) is to distinguish semantically similar emotions. Some works utilise Supervised Contrastive Learning (SCL) which uses categorical emotion labels as supervision signals and contrasts in hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee2e93ebf8952d212fc7986d7c9bfd49
http://arxiv.org/abs/2302.03508
http://arxiv.org/abs/2302.03508
Autor:
Wurui Song, Qi Chen, Kailai Yang, Meng Liang, Xiaoyan Yi, Junxi Wang, Jinmin Li, Zhiqiang Liu
Publikováno v:
Advanced Functional Materials. 33:2370070
Autor:
Tao Feng, Shuo Zhang, Kailai Yang, Qi Chen, Meng Liang, Jianchang Yan, Xiaoyan Yi, Junxi Wang, Jinmin Li, Zhiqiang Liu
Publikováno v:
Advanced Optical Materials. 10:2201262
Publikováno v:
Yang, K, Zhang, T & Ananiadou, S 2022, ' A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media ', Information Processing & Management, vol. 59, no. 4, 102961, pp. 1-16 . https://doi.org/10.1016/j.ipm.2022.102961
Stress and depression detection on social media aim at the analysis of stress and identification of depression tendency from social media posts, which provide assistance for the early detection of mental health conditions. Existing methods mainly mod
Publikováno v:
Journal of Engineering for Gas Turbines and Power. 143
Microchannel manufacturing is one of the fastest growing areas in advanced manufacturing with numerous applications, including turbine blade cooling structures, compact microchannel heat exchangers, and electronic cooling devices. Recent development