Zobrazeno 1 - 10
of 604
pro vyhledávání: '"Liu Yibing"'
Publikováno v:
Open Medicine, Vol 19, Iss 1, Pp 57-48 (2024)
The integrator complex (INT) is a multiprotein assembly in gene transcription. Although several subunits of INT complex have been implicated in multiple cancers, the complex’s role in gastric cancer (GC) is poorly understood.
Externí odkaz:
https://doaj.org/article/017a6869e0d44ebd92acb4b1ed33dc2b
Publikováno v:
Jixie chuandong, Vol 47, Pp 163-169 (2023)
Rolling bearings normally work under variable speed and load conditions, and their fault becomes hard to be extracted. In this study, for a method of extracting rolling bearing fault is proposed based on the frequency domain energy operator (FDEO) an
Externí odkaz:
https://doaj.org/article/bfee553409f84cf59c026028380d1f3b
Edge computing allows artificial intelligence and machine learning models to be deployed on edge devices, where they can learn from local data and collaborate to form a global model. Federated learning (FL) is a distributed machine learning technique
Externí odkaz:
http://arxiv.org/abs/2405.01189
The out-of-distribution (OOD) problem generally arises when neural networks encounter data that significantly deviates from the training data distribution, i.e., in-distribution (InD). In this paper, we study the OOD problem from a neuron activation
Externí odkaz:
http://arxiv.org/abs/2306.02879
Face presentation attacks (FPA), also known as face spoofing, have brought increasing concerns to the public through various malicious applications, such as financial fraud and privacy leakage. Therefore, safeguarding face recognition systems against
Externí odkaz:
http://arxiv.org/abs/2301.12831
Learning invariant representations via contrastive learning has seen state-of-the-art performance in domain generalization (DG). Despite such success, in this paper, we find that its core learning strategy -- feature alignment -- could heavily hinder
Externí odkaz:
http://arxiv.org/abs/2211.06843
Knowledge-based Visual Question Answering (VQA) expects models to rely on external knowledge for robust answer prediction. Though significant it is, this paper discovers several leading factors impeding the advancement of current state-of-the-art met
Externí odkaz:
http://arxiv.org/abs/2206.14989
Autor:
Lin, Chunkun, Wang, Jiangxin, Zhang, Kaixin, Shi, Huibin, Liu, Yibing, Mei, Kuanhong, Liu, Minmin, Zhang, Yu, Li, Shuo
Publikováno v:
In Chemical Engineering Journal 15 October 2024 498
Attention mechanisms are dominating the explainability of deep models. They produce probability distributions over the input, which are widely deemed as feature-importance indicators. However, in this paper, we find one critical limitation in attenti
Externí odkaz:
http://arxiv.org/abs/2201.12114
Autor:
Wu, Di1 (AUTHOR), Liu, Yibing1 (AUTHOR), Liu, Jian2 (AUTHOR), Ma, Li1 (AUTHOR), Tong, Xiaoxia1 (AUTHOR) xiaoxia_tong@163.com
Publikováno v:
Scientific Reports. 7/29/2024, Vol. 14 Issue 1, p1-14. 14p.