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1,105 results on '"Gu, Xiaoyu"'

2. Intent Enhanced Self-supervised Hypergraph Learning for Session-Based Recommendation

Author

Fang, Xiu Susie, Wu, Yonggang, Lu, Jinhu, Gu, Xiaoyu, Sun, Guohao, Zhan, Yong, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bifet, Albert, editor, Krilavičius, Tomas, editor, Miliou, Ioanna, editor, and Nowaczyk, Slawomir, editor

Published
2024
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3. A Study of the Pricing and Profitability of Each Manufacturer Under the Dual-Credit Policy Based on the New Energy Vehicle Battery Recycling Credit Scheme

Author

Zhou, Lingyun, Gu, Xiaoyu, Xu, Fei, Barbosa-Povoa, Ana Paula, Editorial Board Member, de Almeida, Adiel Teixeira, Editorial Board Member, Gans, Noah, Editorial Board Member, Gupta, Jatinder N. D., Editorial Board Member, Heim, Gregory R., Editorial Board Member, Hua, Guowei, Editorial Board Member, Kimms, Alf, Editorial Board Member, Li, Xiang, Editorial Board Member, Masri, Hatem, Editorial Board Member, Nickel, Stefan, Editorial Board Member, Qiu, Robin, Editorial Board Member, Shankar, Ravi, Editorial Board Member, Slowiński, Roman, Editorial Board Member, Tang, Christopher S., Editorial Board Member, Wu, Yuzhe, Editorial Board Member, Zhu, Joe, Editorial Board Member, Zopounidis, Constantin, Editorial Board Member, Gong, Daqing, editor, Ma, Yixuan, editor, Fu, Xiaowen, editor, Zhang, Juliang, editor, and Shang, Xiaopu, editor

Published
2024
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39. Color image segmentation based on a convex K-means approach

Author

Wu, Tingting, Gu, Xiaoyu, Shao, Jinbo, Zhou, Ruoxuan, and Li, Zhi

Subjects
Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Image segmentation is a fundamental and challenging task in image processing and computer vision. The color image segmentation is attracting more attention due to the color image provides more information than the gray image. In this paper, we propose a variational model based on a convex K-means approach to segment color images. The proposed variational method uses a combination of $l_1$ and $l_2$ regularizers to maintain edge information of objects in images while overcoming the staircase effect. Meanwhile, our one-stage strategy is an improved version based on the smoothing and thresholding strategy, which contributes to improving the accuracy of segmentation. The proposed method performs the following steps. First, we specify the color set which can be determined by human or the K-means method. Second, we use a variational model to obtain the most appropriate color for each pixel from the color set via convex relaxation and lifting. The Chambolle-Pock algorithm and simplex projection are applied to solve the variational model effectively. Experimental results and comparison analysis demonstrate the effectiveness and robustness of our method.

Published
2021

49. A randomized, double-blind, placebo-controlled phase II study to evaluate the efficacy and safety of ivarmacitinib (SHR0302) in adult patients with moderate-to-severe alopecia areata

Author

Zhou, Cheng, Yang, Xiumin, Yang, Bin, Yan, Guofu, Dong, Xiuqin, Ding, Yangfeng, Fan, Weixin, Li, Linfeng, Yang, Dingquan, Fang, Hong, Ji, Chao, Cheng, Hao, Zhang, Shoumin, Goh, Aik Han, Liu, Rongjun, Gu, Xiaoyu, Weng, Zaili, Foley, Peter, Sinclair, Rodney, and Zhang, Jianzhong

Published
2023
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