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Your search keyword '"Sun, Baolin"' showing total 411 results
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411 results on '"Sun, Baolin"'

1. Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis

Author

Cui, Xiaoxiao, Jiang, Shanzhi, Sun, Baolin, Li, Yiran, Cao, Yankun, Li, Zhen, Lv, Chaoyang, Liu, Zhi, Cui, Lizhen, Li, Shuo, 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, Linguraru, Marius George, editor, Dou, Qi, editor, Feragen, Aasa, editor, Giannarou, Stamatia, editor, Glocker, Ben, editor, Lekadir, Karim, editor, and Schnabel, Julia A., editor

Published
2024
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5. Metastatic Cancer Image Classification Based On Deep Learning Method

Author

Qiu, Guanwen, Yu, Xiaobing, Sun, Baolin, Wang, Yunpeng, and Zhang, Lipei

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Using histopathological images to automatically classify cancer is a difficult task for accurately detecting cancer, especially to identify metastatic cancer in small image patches obtained from larger digital pathology scans. Computer diagnosis technology has attracted wide attention from researchers. In this paper, we propose a noval method which combines the deep learning algorithm in image classification, the DenseNet169 framework and Rectified Adam optimization algorithm. The connectivity pattern of DenseNet is direct connections from any layer to all consecutive layers, which can effectively improve the information flow between different layers. With the fact that RAdam is not easy to fall into a local optimal solution, and it can converge quickly in model training. The experimental results shows that our model achieves superior performance over the other classical convolutional neural networks approaches, such as Vgg19, Resnet34, Resnet50. In particular, the Auc-Roc score of our DenseNet169 model is 1.77% higher than Vgg19 model, and the Accuracy score is 1.50% higher. Moreover, we also study the relationship between loss value and batches processed during the training stage and validation stage, and obtain some important and interesting findings., Comment: 4 pages, 3 figures, 1 table, accepted by ICCECE

Published
2020

7. Revisiting Regex Generation for Modeling Industrial Applications by Incorporating Byte Pair Encoder

Author

Wang, Desheng, Liu, Jiawei, Qi, Xiang, Sun, Baolin, and Zhang, Peng

Subjects
Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval
Abstract

Regular expression is important for many natural language processing tasks especially when used to deal with unstructured and semi-structured data. This work focuses on automatically generating regular expressions and proposes a novel genetic algorithm to deal with this problem. Different from the methods which generate regular expressions from character level, we first utilize byte pair encoder (BPE) to extract some frequent items, which are then used to construct regular expressions. The fitness function of our genetic algorithm contains multi objectives and is solved based on evolutionary procedure including crossover and mutation operation. In the fitness function, we take the length of generated regular expression, the maximum matching characters and samples for positive training samples, and the minimum matching characters and samples for negative training samples into consideration. In addition, to accelerate the training process, we do exponential decay on the population size of the genetic algorithm. Our method together with a strong baseline is tested on 13 kinds of challenging datasets. The results demonstrate the effectiveness of our method, which outperforms the baseline on 10 kinds of data and achieves nearly 50 percent improvement on average. By doing exponential decay, the training speed is approximately 100 times faster than the methods without using exponential decay. In summary, our method possesses both effectiveness and efficiency, and can be implemented for the industry application.

Published
2020

12. Cubic Permutation Polynomials-Based Block RLNC Algorithm in Wireless Networks

Author

Luo, Hongwei, Feng, Wanyi, Sun, Baolin, Song, Ying, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Wang, Guojun, editor, Chen, Bing, editor, Li, Wei, editor, Di Pietro, Roberto, editor, Yan, Xuefeng, editor, and Han, Hao, editor

Published
2021
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16. Quadratic Permutation Polynomials-Based Sliding Window Network Coding in MANETs

Author

Gui, Chao, Sun, Baolin, Liu, Xiong, Zhang, Ruifan, Huang, Chengli, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, and Li, Shijian, editor

Published
2019
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25. Adaptive Length Sliding Window-Based Network Coding for Energy Efficient Algorithm in MANETs

Author

Sun, Baolin, Gui, Chao, Song, Ying, Chen, Hua, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Shi, Xuanhua, editor, An, Hong, editor, Wang, Chao, editor, Kandemir, Mahmut, editor, and Jin, Hai, editor

Published
2017
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30. Performance Analysis of Sliding Window Network Coding in MANET

Author

Sun, Baolin, Gui, Chao, Song, Ying, Chen, Hua, Zhu, Xiaoyan, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Wu, Junjie, editor, and Li, Lian, editor

Published
2016
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31. Sliding Window Network Coding for Free Viewpoint Multimedia Streaming in MANETs

Author

Gui, Chao, Huang, Chengli, Sun, Baolin, Zhu, Xiaoyan, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Che, Wanxiang, editor, Han, Qilong, editor, Wang, Hongzhi, editor, Jing, Weipeng, editor, Peng, Shaoliang, editor, Lin, Junyu, editor, Sun, Guanglu, editor, Song, Xianhua, editor, Song, Hongtao, editor, and Lu, Zeguang, editor

Published
2016
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39. Genotypic and Phenotypic Characterization of Some psms Hypervirulent Clinical Isolates of Staphylococcus aureus in a Tertiary Hospital in Hefei, Anhui

Author

Cao,Jiaxin, Zhang,Huimin, He,Zhien, Piao,Zhongwan, Zong,Xianchun, Sun,Baolin, Cao,Jiaxin, Zhang,Huimin, He,Zhien, Piao,Zhongwan, Zong,Xianchun, and Sun,Baolin

Abstract

Jiaxin Cao,1,2 Huimin Zhang,1,2 Zhien He,2 Zhongwan Piao,1 Xianchun Zong,1 Baolin Sun1,2 1College of Life Science and Technology, Mudanjiang Normal University, Mudanjiang, People’s Republic of China; 2School of Life Science and Medicine, University of Science and Technology of China, Hefei, People’s Republic of ChinaCorrespondence: Baolin Sun; Zhongwan Piao, Email sunb@ustc.edu.cn; jwcpzw@126.comBackground: Staphylococcus aureus is a highly successful pathogen that can cause various infectious diseases, from relatively mild skin infections to life-threatening severe systemic diseases. The widespread pathogenicity of S. aureus is mainly due to its ability to produce many virulence factors that help destroy various host cells, causing disease. Our primary goal in this study was to explore the genes of highly virulent strains, to identify genes closely associated with high virulence, and to provide ideas for the treatment of infection by highly virulent clinical strains.Results: This study collected 221 clinical strains from The First Affiliated Hospital Of The University of Science and Technology of China (USTC); their hemolytic abilities were tested. Eight isolates were selected based on their highly hemolytic ability and tested their hemolytic activity again; their phenotypes and gene sequences were also explored. Whole-genome sequencing (WGS) showed six plasmids (pN315, pNE131, pSJH901, pSJH101, SAP106B, and MSSA476), eight antibiotic resistance genes [blaR1, blaI, blaZ, mecA, erm(C), erm(T), tet(38), and fosB-Saur] and seventy-two virulence related genes. Three highly virulent strains, namely X21111206, 21092239, and 21112607, were found according the Galleria mellonella infection model. Therefore, we selected 10 representative virulence genes for qRT-PCR: psmα, psmβ, hlgA, hlgB, hlgC, hla, clfA, clfB, spa, and sak. Among them, the expression levels of psmα and psmβ, the three isolates, were significantly higher than the positive control NCTC8325.Conclusio

Published
2023

40. Molecular Epidemiology of Staphylococcus aureus in a Tertiary Hospital in Anhui, China: ST59 Remains a Serious Threat

Author

Zhang,Huimin, Cao,Jiaxin, He,Zhien, Zong,Xianchun, Sun,Baolin, Zhang,Huimin, Cao,Jiaxin, He,Zhien, Zong,Xianchun, and Sun,Baolin

Abstract

Huimin Zhang,1 Jiaxin Cao,1 Zhien He,2,3 Xianchun Zong,1 Baolin Sun2,3 1College of Life Science and Technology, Mudanjiang Normal University, Mudanjiang, People’s Republic of China; 2Department of Oncology, The First Affiliated Hospital, University of Science and Technology of China, Hefei, People’s Republic of China; 3School of Life Science and Medicine, University of Science and Technology of China, Hefei, People’s Republic of ChinaCorrespondence: Baolin Sun, Email sunb@ustc.edu.cnPurpose: This study aimed to investigate the molecular characteristics, antimicrobial resistance and hemolytic phenotype of Staphylococcus aureus isolated from Anhui, China.Results: From August 2021 to January 2022, 214 S. aureus isolates were collected from the Anhui Provincial Hospital. This study identified 117 methicillin-resistant S. aureus and 97 methicillin-sensitive S. aureus isolates, and the detection rate of methicillin-resistant isolates was 1.8-fold higher than the average isolates reported in China (53.9% vs 30.5%). S. aureus isolates share identity at five or more of the seven MLST-based housekeeping loci, referred to as the clonal complex (CC). Forty ST types were found in 214 clinical S. aureus isolates, with the most extensive distribution of ST59 and ST6697 typing numbers and higher CC5 detection rates than any other clonal group. (The ST typing is the result of the MLST typing website query.) To detect the virulence of ST types of S. aureus, hemolysis experiments were performed on 214 clinical isolates, and it was concluded that ST59 had a relatively robust hemolytic capacity.Conclusion: Anhui S. aureus isolates have unique molecular and antibiotic resistance profiles. The antibiotic resistance profile may be related to the random use of antibiotics.Keywords: Staphylococcus aureus, epidemiological analysis, multilocus sequence typing, phenotype, hemolytic

Published
2023

50. A Distributed Energy-aware Trust Topology Control Algorithm for Service-Oriented Wireless Mesh Networks

Author

You, Chuanchuan, Wang, Tong, Zhou, BingYu, Dai, Hui, Sun, Baolin, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Tan, Ying, editor, Shi, Yuhui, editor, and Tan, Kay Chen, editor

Published
2010
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