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陈静

17/03/18 11:23:22 作者: 点击:[] [小] [中] [大]

陈静


Chen, Jing  

Lecturer,

School of Software Engineering,

Chongqing University, China.



Academic Qualifications

       Ph.D.     Computer Science and Technique, Chongqing University, China, 2012.

       M.S.       Computer Application, Chongqing University, China, 2008

       B.S.        Computing Mathematics, Shandong University, China, 2005



Working Experience

       2015.09-Present         Lecturer, School of Software Engineering, Chongqing University.

       2013.01-2015.08        PostDoctor Fellow, Department of Computer and Information Science,

                                             Faculty of Science and Technology, University of Macau.

       2010.11-2011.01        Research Assistant, Department of Computer Science, Hong Kong Baptist University.



Courses in CQU

For undergraduates:           Database Principles and Design(数据库原理与设计),

   Web Development Technique(Web开发技术)

For graduate students:       Intelligent Computing(智能计算)

For overseas students:       Data Mining(数据挖掘)



Research


Research Interests

Pattern recognition, Image/Signal processing, Machine learning, Big data analysis, Biomedical engineering, Intelligent Transportation System (ITS).


Service as Reviewers

    • IEEE Transactions on Image Processing

    • IEEE Transactions on Systems, Man and Cybernetics: Systems

    • IEEE Transactions on Cybernetics

    • IEEE Transactions on Knowledge Data Engineering

    • Pattern Recognition

    • Artificial Intelligence in Medicine

    • Many other journals

    • Many international conferences.

 

Research Projects

  • 中央高校基本科研业务经费项目“度量学习及其在软件缺陷预测中的应用”(项目负责人,已结题)

  • 国家自然科学基金面上项目(60873092)“真实光照环境下人脸识别关键问题的研究”(主研,已结题)

  • 国家自然科学基金面上项目(61173130)“基于视觉感兴趣区域的协同图像检索研究”(主研)

  • 澳门大学资助项目(T-100-2012-A3)“Integral Equation-Wavelet Collocation (IEWC) Method for Geometric Transformation and Application to Image Restoration”(主研)

  • 国家自然科学基金面上项目(61273244)“基于散射变换的图像不变特征提取”(参与)

 

Publications

[1]. Jing Chen, Yuan Yan Tang, C. L. Philip Chen, Bin Fang, Zhaowei Shang and Yuewei Lin. “NNMap: A Method to Construct a Good Embedding for Nearest Neighbor Classification,” Neurocomputing, vol. 152, 25 March, pp. 97-108, 2015.(SCI)

[2].  Jing Chen, Yuan Yan Tang, C. L. Philip Chen, Yuewei Lin. “Multi-label Learning with Fuzzy Hypergraph Regularization for Protein Subcellular Location Prediction,” IEEE Transactions on NanoBioscience, vol. 13, no. 4, pp. 438-447, 2014. (SCI)

[3]. Jing Chen, Yuan Yan Tang, C. L. Philip Chen, Bin Fang, Zhaowei Shang and Yuewei Lin. “Similarity Measure Learning in Closed-Form Solution for Image Classification,” The Scientific World Journal, vol. 2014, article ID 747105. (SCI)

[4]. Jing Chen, Yuan Yan Tang, Bin Fang, Chang Guo. “In Silico Prediction of Toxic Action Mechanisms of Phenols for Imbalanced Data with Random Forest Learner,” Journal of Molecular Graphics and Modelling, 2012, vol. 35, pp. 21-27. (SCI)

[5]. Ping Guo, Jing Chen, Yanxia Wang, Dong Li, Shengjun Sun. “Frame and Implementation of EMC Diagnosis Expert System,” Journal of Computational Information Systems, 2007, vol. 3, no. 4, pp. 1685-1690. (EI)

[6]. Jing Chen, Yuan Yan Tang, C. L. Philip Chen, and Yuewei Lin. “Dual Fuzzy Hypergraph Regularized Multi-label Learning for Protein Subcellular Location Prediction,” in Proceedings of the 22nd International Conference on Pattern Recognition (ICPR), 2014, (EI)

[7]. Bin Fang, Jing Chen, Yuan Yan Tang. “A Linear Subspace Learning Algorithm for Incremental Data,” in Proceedings of IEEE International Conference on Wavelet Analysis and Pattern Recognition, 2009, pp. 101-106. (EI)

[8]. Ping Guo, Jing Chen. “Arithmetic Operations in Membrane System,” in Proceedings of the International Conference on BioMedical Engineering and Informatics, vol. 1, 2008, pp. 231-234. (EI)

[9]. Ping Guo, Jing Chen, Shengjun Sun. “Two Approaches to Extract Rules from Neural Network with Mixed Attributes,” in Proceedings of Advanced Intelligent Computing Theories and Applications. Part I, 2007, pp. 56-63. (EI)

[10]. Ping Guo, Jing Chen, Shengjun Sun. “Rule Extraction for Problems with Hybrid Type Attributes,” in Proceedings of International Conference on Natural Computation, vol. 1, 2007, pp. 280-284. (EI)

[11]. Ping Guo, Jing Chen, Shengjun Sun. “A Method to Extract Comprehensible Rules,” in Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, vol. 2, 2007, pp. 808-812. (EI)



Contact Details

School of Software Engineering
Chongqing University,
Shapingba District, Chongqing, ChinaChongqing University,


Room: B2-302, Campus D (虎溪)
Telephone: 13628466455
Wechat: chenjingmc
Email: jingchen@cqu.edu.cn


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