Zobrazeno 1 - 10
of 4 550
pro vyhledávání: '"Gong, Ping"'
With the increasing number of parameters in large pre-trained models, LoRA as a parameter-efficient fine-tuning(PEFT) method is widely used for not adding inference overhead. The LoRA method assumes that weight changes during fine-tuning can be appro
Externí odkaz:
http://arxiv.org/abs/2408.03290
In this paper, we primarily focus on understanding the data preprocessing pipeline for DNN Training in the public cloud. First, we run experiments to test the performance implications of the two major data preprocessing methods using either raw data
Externí odkaz:
http://arxiv.org/abs/2304.08925
Autor:
Fan, Zong, Gong, Ping, Tang, Shanshan, Lee, Christine U., Zhang, Xiaohui, Song, Pengfei, Chen, Shigao, Li, Hua
Automatic breast lesion detection and classification is an important task in computer-aided diagnosis, in which breast ultrasound (BUS) imaging is a common and frequently used screening tool. Recently, a number of deep learning-based methods have bee
Externí odkaz:
http://arxiv.org/abs/2210.05762
Autor:
Hui-Yang Lei, Gui-Lin Pi, Ting He, Rui Xiong, Jing-Ru Lv, Jia-Le Liu, Dong-Qin Wu, Meng-Zhu Li, Kun Shi, Shi-Hong Li, Na-Na Yu, Yang Gao, Hui-Ling Yu, Lin-Yu Wei, Xin Wang, Qiu-Zhi Zhou, Pei-Lin Zou, Jia-Yang Zhou, Ying-Zhou Liu, Nai-Ting Shen, Jie Yang, Dan Ke, Qun Wang, Gong-Ping Liu, Xi-Fei Yang, Jian-Zhi Wang, Ying Yang
Publikováno v:
Military Medical Research, Vol 11, Iss 1, Pp 1-24 (2024)
Abstract Background Episodic memory loss is a prominent clinical manifestation of Alzheimer’s disease (AD), which is closely related to tau pathology and hippocampal impairment. Due to the heterogeneity of brain neurons, the specific roles of diffe
Externí odkaz:
https://doaj.org/article/df673dbc95c04f9d9dc2c62b7ff993ba
As an important upstream task for many medical applications, supervised landmark localization still requires non-negligible annotation costs to achieve desirable performance. Besides, due to cumbersome collection procedures, the limited size of medic
Externí odkaz:
http://arxiv.org/abs/2208.00453
Graph Neural Networks (GNNs) is a promising approach for applications with nonEuclidean data. However, training GNNs on large scale graphs with hundreds of millions nodes is both resource and time consuming. Different from DNNs, GNNs usually have lar
Externí odkaz:
http://arxiv.org/abs/2207.14696
Autor:
Bai, Zhentao, Li, Zhijie, Li, Ling, Li, Pengfei, Gong, Ping, Wang, Tangang, Fan, Junliang, Liu, Hongguang
Publikováno v:
In Industrial Crops & Products 15 October 2024 218
Publikováno v:
In Bioorganic Chemistry October 2024 151
Publikováno v:
In Optics and Lasers in Engineering October 2024 181
Autor:
Li, Yanjie, Li, Zhijie, Gong, Ping, He, Xinlin, Liu, Hongguang, Li, Ling, Wang, Chunxia, Li, Pengfei, Wei, Jie, Yu, Xuyong
Publikováno v:
In Agricultural Water Management 1 September 2024 302