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pro vyhledávání: '"Liu, Huidong"'
Surface effect of low-surface-tension contaminants accumulating at the evaporation surface can easily induce membrane wetting in the application of membrane distillation, especially in hypersaline scenarios. In this work, we propose a novel strategy
Externí odkaz:
http://arxiv.org/abs/2312.14166
On shopping websites, product images of low quality negatively affect customer experience. Although there are plenty of work in detecting images with different defects, few efforts have been dedicated to correct those defects at scale. A major challe
Externí odkaz:
http://arxiv.org/abs/2309.05883
Can we use sparse tokens for dense prediction, e.g., segmentation? Although token sparsification has been applied to Vision Transformers (ViT) to accelerate classification, it is still unknown how to perform segmentation from sparse tokens. To this e
Externí odkaz:
http://arxiv.org/abs/2303.06522
Masked Autoencoder (MAE) has recently been shown to be effective in pre-training Vision Transformers (ViT) for natural image analysis. By reconstructing full images from partially masked inputs, a ViT encoder aggregates contextual information to infe
Externí odkaz:
http://arxiv.org/abs/2203.05573
Autor:
Zhou, Lei, Bae, Joseph, Liu, Huidong, Singh, Gagandeep, Green, Jeremy, Gupta, Amit, Samaras, Dimitris, Prasanna, Prateek
Well-labeled datasets of chest radiographs (CXRs) are difficult to acquire due to the high cost of annotation. Thus, it is desirable to learn a robust and transferable representation in an unsupervised manner to benefit tasks that lack labeled data.
Externí odkaz:
http://arxiv.org/abs/2201.07344
Autor:
Pelenovich, Vasiliy, Zeng, Xiaomei, Liu, Yan, Zhang, Xiangyu, Liu, Huidong, Pogrebnjak, Alexander, Vildanov, Ramil', Yang, Bing, Liu, Sheng
Publikováno v:
Surface & Coatings Technology 436 (2022) 128282
The diffusion of substrate material into absorbing layer and oxidation of metal substrate or cermet metal nanoparticles at high temperatures are known as inevitable problems of the solar selective absorbers. In this study, we consider the use of text
Externí odkaz:
http://arxiv.org/abs/2112.04823
Autor:
Liu, Huidong, Xu, Shaoyuan, Fu, Jinmiao, Liu, Yang, Xie, Ning, Wang, Chien-Chih, Wang, Bryan, Sun, Yi
Modern Web systems such as social media and e-commerce contain rich contents expressed in images and text. Leveraging information from multi-modalities can improve the performance of machine learning tasks such as classification and recommendation. I
Externí odkaz:
http://arxiv.org/abs/2112.03562
Publikováno v:
In Cryogenics June 2024 140
Publikováno v:
In Cancer Letters 28 April 2024 588
Recently, Generative Adversarial Networks (GANs) have demonstrated their potential in federated learning, i.e., learning a centralized model from data privately hosted by multiple sites. A federatedGAN jointly trains a centralized generator and multi
Externí odkaz:
http://arxiv.org/abs/2102.04655