Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Changyou Chen"'
Autor:
Chuangchuang Liu, Xianfang Sun, Changyou Chen, Paul L. Rosin, Yitong Yan, Longcun Jin, Xinyi Peng
Publikováno v:
IEEE Access, Vol 7, Pp 60572-60583 (2019)
Single image super-resolution is known to be an ill-posed problem, which has been studied for decades. With the developments of deep convolutional neural networks, the CNN-based single image super-resolution methods have greatly improved the quality
Externí odkaz:
https://doaj.org/article/347bcd6e4caa424690ca68f03f81c800
Autor:
Sophie I Candille, Catherine D Van Raamsdonk, Changyou Chen, Sanne Kuijper, Yanru Chen-Tsai, Andreas Russ, Frits Meijlink, Gregory S Barsh
Publikováno v:
PLoS Biology, Vol 2, Iss 1, p E3 (2004)
Many members of the animal kingdom display coat or skin color differences along their dorsoventral axis. To determine the mechanisms that control regional differences in pigmentation, we have studied how a classical mouse mutation, droopy ear (de(H))
Externí odkaz:
https://doaj.org/article/59e25caeb7fc4226814679ffee5cbd9e
Publikováno v:
Dialogue & Discourse. 14:1-33
Deep-learning based Automatic Essay Scoring (AES) systems are being actively used in various high-stake applications in education and testing. However, little research has been put to understand and interpret the black-box nature of deep-learning-bas
Autor:
Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:11330-11339
It is well known that natural language models are vulnerable to adversarial attacks, which are mostly input-specific in nature. Recently, it has been shown that there also exist input-agnostic attacks in NLP models, called universal adversarial trigg
Autor:
Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:3580-3588
Using natural-language feedback to guide image generation and manipulation can greatly lower the required efforts and skills. This topic has received increased attention in recent years through refinement of Generative Adversarial Networks (GANs); ho
Autor:
Xiang Zhou, Chuangchuang Liu, Xianfang Sun, Changyou Chen, Peng Xinyi, Yitong Yan, Longcun Jin
Publikováno v:
IEEE Transactions on Multimedia. 24:1473-1487
Traditional super-resolution (SR) methods by minimize the mean square error usually produce images with oversmoothed and blurry edges, due to the lack of high-frequency details. In this paper, we propose two novel techniques within the generative adv
MotivationPredicting the cell response to chemical compounds is central to drug discovery, drug repurposing, and personalized medicine. To this end, large datasets of drug response signatures have been curated, most notably the Connectivity Map (CMap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7f1b5b45202382eb301edfae921cd5c
https://doi.org/10.1101/2023.01.09.523287
https://doi.org/10.1101/2023.01.09.523287
Publikováno v:
2022 IEEE International Conference on Data Mining Workshops (ICDMW).
Publikováno v:
Sustainability; Volume 14; Issue 21; Pages: 14007
The integrated development of new-type urbanization and tourism is of great significance for social development. Based on panel data of nine provinces in the Yellow River Basin from 2010 to 2019, models such as entropy TOPSIS, the super-SBM model, th
Autor:
Pingping Wang, Xue Wang, Qingmeng Wang, Yangkun Jiao, Xuting Wang, Changyou Chen, Haitao Chen, Tao Song
Publikováno v:
Brain Research. 1810:148372