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pro vyhledávání: '"You Shan"'
Autor:
Sithara Vivek, You Shan Shen, Weihua Guan, Guillaume Onyeaghala, Mosunmoluwa Oyenuga, Christopher Staley, Amy B. Karger, Anna E. Prizment, Bharat Thyagarajan
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 13, p 6831 (2024)
Though the microbiome’s impact on immune system homeostasis is well documented, the effect of circulating T cells on the gut microbiome remains unexamined. We analyzed data from 50 healthy volunteers in a pilot trial of aspirin, using immunophenoty
Externí odkaz:
https://doaj.org/article/4dfda1f894d4461ab1f0690cda552e2d
Dataset distillation (DD) entails creating a refined, compact distilled dataset from a large-scale dataset to facilitate efficient training. A significant challenge in DD is the dependency between the distilled dataset and the neural network (NN) arc
Externí odkaz:
http://arxiv.org/abs/2410.05103
Video generation models hold substantial potential in areas such as filmmaking. However, current video diffusion models need high computational costs and produce suboptimal results due to high complexity of video generation task. In this paper, we pr
Externí odkaz:
http://arxiv.org/abs/2408.13423
Recent advancements in state space models, notably Mamba, have demonstrated significant progress in modeling long sequences for tasks like language understanding. Yet, their application in vision tasks has not markedly surpassed the performance of tr
Externí odkaz:
http://arxiv.org/abs/2403.09338
Recently, the growing capabilities of deep generative models have underscored their potential in enhancing image classification accuracy. However, existing methods often demand the generation of a disproportionately large number of images compared to
Externí odkaz:
http://arxiv.org/abs/2403.06517
Diffusion models have demonstrated remarkable efficacy in various generative tasks with the predictive prowess of denoising model. Currently, these models employ a uniform denoising approach across all timesteps. However, the inherent variations in n
Externí odkaz:
http://arxiv.org/abs/2312.13307
Human-object interaction (HOI) detection aims to comprehend the intricate relationships between humans and objects, predicting $$ triplets, and serving as the foundation for numerous computer vision tasks. The complexity and di
Externí odkaz:
http://arxiv.org/abs/2311.03799
Autor:
You Shan, Guojun Zhou, Kairen Chen, Changchun Zhao, Kun Shen, Hao Liu, Zhenjun Fan, Munan Hao
Publikováno v:
AIP Advances, Vol 9, Iss 3, Pp 035304-035304-7 (2019)
It’s of great significance to explore the synthesis of tourmaline with simple chemical composition to study the mechanism of its pyroelectric properties due to the presence of crystal defects and isomorphous substitution in natural tourmaline. In t
Externí odkaz:
https://doaj.org/article/90daf3d4921343178a4c35e0996cf186
Diffusion models have recently exhibited remarkable performance on synthetic data. After a diffusion path is selected, a base model, such as UNet, operates as a denoising autoencoder, primarily predicting noises that need to be eliminated step by ste
Externí odkaz:
http://arxiv.org/abs/2310.04750
Autor:
Zheng, Mingkai, You, Shan, Huang, Lang, Su, Xiu, Wang, Fei, Qian, Chen, Wang, Xiaogang, Xu, Chang
Image classification is a longstanding problem in computer vision and machine learning research. Most recent works (e.g. SupCon , Triplet, and max-margin) mainly focus on grouping the intra-class samples aggressively and compactly, with the assumptio
Externí odkaz:
http://arxiv.org/abs/2308.10761