Zobrazeno 1 - 10
of 488
pro vyhledávání: '"WANG Yusong"'
Publikováno v:
Hangkong gongcheng jinzhan, Vol 13, Iss 2, Pp 64-70 (2022)
Aircraft icing will affect flight safety and even lead to serious flight accidents. Studying the adhesion strength between icing and substrate can provide specific index requirements for the design of aircraft anti-icing and de-icing system. An exper
Externí odkaz:
https://doaj.org/article/ee5a989db7c14c9097b9252c929a867c
Publikováno v:
Fushe yanjiu yu fushe gongyi xuebao, Vol 40, Iss 1, Pp 27-38 (2022)
The copolymerization of acrylonitrile (AN) with a hydrophilic monomer is an effective way to prepare hydrophilic polyacrylonitrile (PAN)-based functional materials. In this study, γ-ray radiation-induced copolymerization of AN and 4-vinylpyridine (4
Externí odkaz:
https://doaj.org/article/3844efe61ce340e4a815b58cdb776257
Autor:
Li, Shaoning, Li, Mingyu, Wang, Yusong, He, Xinheng, Zheng, Nanning, Zhang, Jian, Heng, Pheng-Ann
Investigating conformational landscapes of proteins is a crucial way to understand their biological functions and properties. AlphaFlow stands out as a sequence-conditioned generative model that introduces flexibility into structure prediction models
Externí odkaz:
http://arxiv.org/abs/2407.12053
Continual learning (CL) with Vision-Language Models (VLMs) has overcome the constraints of traditional CL, which only focuses on previously encountered classes. During the CL of VLMs, we need not only to prevent the catastrophic forgetting on increme
Externí odkaz:
http://arxiv.org/abs/2406.18868
Recently, studies have shown the potential of integrating field-type iterative methods with deep learning (DL) techniques in solving inverse scattering problems (ISPs). In this article, we propose a novel Variational Born Iterative Network, namely, V
Externí odkaz:
http://arxiv.org/abs/2405.18731
Molecular dynamics (MD) is a crucial technique for simulating biological systems, enabling the exploration of their dynamic nature and fostering an understanding of their functions and properties. To address exploration inefficiency, emerging enhance
Externí odkaz:
http://arxiv.org/abs/2405.00751
Speech emotion recognition (SER) has garnered increasing attention due to its wide range of applications in various fields, including human-machine interaction, virtual assistants, and mental health assistance. However, existing SER methods often ove
Externí odkaz:
http://arxiv.org/abs/2405.00307
Multimodal emotion recognition aims to recognize emotions for each utterance of multiple modalities, which has received increasing attention for its application in human-machine interaction. Current graph-based methods fail to simultaneously depict g
Externí odkaz:
http://arxiv.org/abs/2311.11009
Speech emotion recognition (SER) has drawn increasing attention for its applications in human-machine interaction. However, existing SER methods ignore the information gap between the pre-training speech recognition task and the downstream SER task,
Externí odkaz:
http://arxiv.org/abs/2310.00283
Autor:
Li, Yunyang, Wang, Yusong, Huang, Lin, Yang, Han, Wei, Xinran, Zhang, Jia, Wang, Tong, Wang, Zun, Shao, Bin, Liu, Tie-Yan
Computational simulation of chemical and biological systems using ab initio molecular dynamics has been a challenge over decades. Researchers have attempted to address the problem with machine learning and fragmentation-based methods. However, the tw
Externí odkaz:
http://arxiv.org/abs/2304.13542