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944 results on '"Wu, Junhua"'

2. An Updatable Key Management Scheme for Underwater Wireless Sensor Networks

Author

Guan, Zhiyun, Wu, Junhua, Li, Guangshun, Wang, Tielin, Goos, Gerhard, Founding 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, Tari, Zahir, editor, Li, Keqiu, editor, and Wu, Hongyi, editor

Published
2024
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9. NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering

Author

Wang, Tong, Yang, Guanyu, He, Qijia, Zhang, Zhenquan, and Wu, Junhua

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Attributed graph clustering is one of the most fundamental tasks among graph learning field, the goal of which is to group nodes with similar representations into the same cluster without human annotations. Recent studies based on graph contrastive learning method have achieved remarkable results when exploit graph-structured data. However, most existing methods 1) do not directly address the clustering task, since the representation learning and clustering process are separated; 2) depend too much on data augmentation, which greatly limits the capability of contrastive learning; 3) ignore the contrastive message for clustering tasks, which adversely degenerate the clustering results. In this paper, we propose a Neighborhood Contrast Framework for Attributed Graph Clustering, namely NCAGC, seeking for conquering the aforementioned limitations. Specifically, by leveraging the Neighborhood Contrast Module, the representation of neighbor nodes will be 'push closer' and become clustering-oriented with the neighborhood contrast loss. Moreover, a Contrastive Self-Expression Module is built by minimizing the node representation before and after the self-expression layer to constraint the learning of self-expression matrix. All the modules of NCAGC are optimized in a unified framework, so the learned node representation contains clustering-oriented messages. Extensive experimental results on four attributed graph datasets demonstrate the promising performance of NCAGC compared with 16 state-of-the-art clustering methods. The code is available at https://github.com/wangtong627/NCAGC.

Published
2022
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15. Application of machine learning in restoration of dental defect

Author

WANG Yue, LI Hangyun, TANG Wanyi, WU Junhua

Subjects
machine learning, artificial intelligence, prosthodontics, dental defect, Dentistry, RK1-715, Other systems of medicine, RZ201-999
Abstract

As an important branch of artificial intelligence, machine learning meets the demand for digital intelligence in prosthodontics with the rapid development and application of its algorithm. This review provides an overview of the application of machine learning algorithms in dental restoration, including the design of dental prostheses, tooth shade selection, and tooth preparation line detection. Additionally, this paper also briefly analyzes the merits of machine learning and discusses the challenges and issues in current research, to provide references for research on machine learning algorithms in prosthodontics.

Published
2024
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26. An Approach of Code Summary Generation Using Multi-Feature Fusion Based on Transformer

Author

Yang, Chao, Wu, Junhua, Goos, Gerhard, Founding 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, Yuan, Long, editor, Yang, Shiyu, editor, Li, Ruixuan, editor, Kanoulas, Evangelos, editor, and Zhao, Xiang, editor

Published
2023
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27. An Improved Sub-pixel Corner Detection Algorithm

Author

Wu, Junhua, Ge, Lusheng, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Hu, Cungang, editor, and Cao, Wenping, editor

Published
2023
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37. Repurposing of Anthocyanin Biosynthesis for Plant Transformation and Genome Editing

Author

He, Yubing, Zhu, Min, Wu, Junhua, Ouyang, Lejun, Wang, Rongchen, Sun, Hui, Yan, Lang, Wang, Lihao, Xu, Meilian, Zhan, Huadong, and Zhao, Yunde

Subjects
Agricultural Biotechnology, Agricultural, Veterinary and Food Sciences, Genetics, Biotechnology, CRISPR, transgene-free, anthocyanin, rice, AAC
Abstract

CRISPR/Cas9 gene editing technology has been very effective in editing genes in many plant species including rice. Here we further improve the current CRISPR/Cas9 gene editing technology in both efficiency and time needed for isolation of transgene-free and target gene-edited plants. We coupled the CRISPR/Cas9 cassette with a unit that activates anthocyanin biosynthesis, providing a visible marker for detecting the presence of transgenes. The anthocyanin-marker assisted CRISPR (AAC) technology enables us to identify transgenic events even at calli stage, to select transformants with elevated Cas9 expression, and to identify transgene-free plants in the field. We used the AAC technology to edit LAZY1 and G1 and successfully generated many transgene-free and target gene-edited plants at T1 generation. The AAC technology greatly reduced the labor, time, and costs needed for editing target genes in rice.

Published
2020

38. Code Comments Generation with Data Flow-Guided Transformer

Author

Zhou, Wen, Wu, Junhua, Goos, Gerhard, Founding 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, Zhao, Xiang, editor, Yang, Shiyu, editor, Wang, Xin, editor, and Li, Jianxin, editor

Published
2022
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39. Increasing the Accuracy of Secure Model for Medical Data Sharing in the Internet of Things

Author

Wu, Junhua, Zhang, Huiru, Li, Guangshun, Yu, Kan, Goos, Gerhard, Founding 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, Wang, Lei, editor, Segal, Michael, editor, Chen, Jenhui, editor, and Qiu, Tie, editor

Published
2022
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45. Proteomics-derived biomarker panel facilitates distinguishing primary lung adenocarcinomas with intestinal or mucinous differentiation (PAIM) from lung metastatic colorectal cancer (lmCRC)

Author

Liu, Jiaying, primary, Chang, Xiaona, additional, Qian, Liujia, additional, Chen, Shuo, additional, Xue, Zhangzhi, additional, Wu, Junhua, additional, Luo, Danju, additional, Huang, Bo, additional, Fan, Jun, additional, Guo, Tiannan, additional, and Nie, Xiu, additional

Published
2024
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47. Evolutionary Computation plus Dynamic Programming for the Bi-Objective Travelling Thief Problem

Author

Wu, Junhua, Polyakovskiy, Sergey, Wagner, Markus, and Neumann, Frank

Subjects
Computer Science - Artificial Intelligence, 80M50, 90C27
Abstract

This research proposes a novel indicator-based hybrid evolutionary approach that combines approximate and exact algorithms. We apply it to a new bi-criteria formulation of the travelling thief problem, which is known to the Evolutionary Computation community as a benchmark multi-component optimisation problem that interconnects two classical NP-hard problems: the travelling salesman problem and the 0-1 knapsack problem. Our approach employs the exact dynamic programming algorithm for the underlying Packing-While-Travelling (PWT) problem as a subroutine within a bi-objective evolutionary algorithm. This design takes advantage of the data extracted from Pareto fronts generated by the dynamic program to achieve better solutions. Furthermore, we develop a number of novel indicators and selection mechanisms to strengthen synergy of the two algorithmic components of our approach. The results of computational experiments show that the approach is capable to outperform the state-of-the-art results for the single-objective case of the problem.

Published
2018

50. Clinical significance of serum HMGB1 in COPD and correlation with severity of airflow restriction and immune function

Author

Xu Weiguo, Wu Junhua, Feng Yong, Zhu Jing, and Cui Rong

Subjects
smoking, chronic obstructive pulmonary disease, airflow restriction, immune function, correlation, Medicine
Abstract

Background: To explore the serum HMGB1 levels in patients with smoking-induced chronic obstructive pulmonary disease (COPD) and the correlations with airflow restriction and immune function.

Published
2022
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