Dr. Qingshan Jiang, Professor
Shenzhen Institutes of Advanced Technology
Chinese Academy of Science
Telephone: 0755-86392340
Address: 1068 Xueyuan Avenue, Shenzhen University Town Shenzhen, China
Postcode: 518055

Research Areas

Data mining, information security, pattern recognition, big data analysis, AI,  statistical data modeling


Ph.D. in mathematics from Chiba Institute of Technology, Japan, in 1996; Ph.D. in computer science from University of Sherbrooke, Canada, in 2002. Post-doc fellow at The Fields Institute for Research in Mathematical Sciences, University of Toronto, Canada


Work Experience

Professor and director at Shenzhen Key Lab for High Performance Data Mining, Shenzhen Institute of Advanced  Technology, Chinese Academy of Sciences, China. He has been a professor at Xiamen University since 2003,and has more than 170 publications.

Teaching Experience

Teaching at UCAS and Xiamen University since 2003, such as data mining,  statistical data modeling, software engineering, and others


He has published more than 170 papers at international journals and conferences, such as Pattern Recognition, IEEE Transactions on Knowledge and Data Engineering, Journal of Knowledge and Information Systems, SIGKDD, and ICDM.

Part of Papers

  1. Chunling Fan, Yun Zhang, Raouf Hamzaoui, Djemel Ziou, Qingshan Jiang. Learning-based satisfied user ratio prediction for symmetrically and asymmetrically compressed stereoscopic images. IEEE Multimedia. 2021. (SCI)

  2. Huang, M.; Jiang, Q.; Qu, Q; Rasool, A. An Overlapping Community Detection Approach in Ego-Splitting Networks Using Symmetric Nonnegative Matrix Factorization. Symmetry 2021, 13, 869. (SCI)

  3.  Hui Chen, Zhengqiang Li, Qingshan Jiang, Abdur Rasool, and Lifei Chen. A Hierarchical Approach for Android Malware Detection Using Authorization-Sensitive Features. Electronics, 2021, 10, 432. (SCI)

  4. Aljofey, A.; Jiang, Q.; Qu, Q.; Huang, M.; Niyigena, J.-P. An Effective Phishing Detection Model Based on Character Level Convolutional Neural Network from URL. Electronics  9, 1514,2020 (SCI).

  5.   G. Le, Q. Gu, Q. Qu, Q. Jiang, J. Fan, AirCargoChain: A Distributed and Scalable Data Sharing Approach of Blockchain for Air Cargo, Journal of Grid Computing, December 2020(SCI)

  6. Rakib Ul Haque, A S M Touhidul Hasan, Qingshan Jiang, and Qiang Qu. Privacy-Preserving K-Nearest Neighbors Training over Blockchain-Based Encrypted Health Data. Electronics. 9, 2096, 2020(SCI)

  7.  Dandan Che, Shun Guo; Qingshan Jiang; Lifei Chen, PFBNet: a priori-fused boosting method for gene regulatory network inference, BMC Bioinformatics 2020 (SCI)

  8. Jean-Pierre Niyigena, Qingshan Jiang, Djemel Ziou, Ruey-Shiang Shaw, and A S M Touhidul Hasan "Modeling the Measurements of the Determinants of ICT Fluency and Evolution of Digital Divide Among Students in Developing Countries—East Africa Case Study". Applied Sciences, April 2020, Vol.10, p 1-27. (SCI)

  9.  F. Kerouh, D. Ziou, Q.Jiang, Directional statistics-based quality measure for spotlight color images, Signal, Image and Video Processing, 2020, published inline, (SCI)

  10.  Li, Ao; Jiang Qingshan; Xie Kai; Wang Menglei; Li Long; Luo Wei, Low latency LDPC hard-decision algorithm for 5G NR, IET CIRCUITS DEVICES & SYSTEMS,2019 (SCI)

  11.  Yang Min, Jiang Qingshan, Shen Ying, et al. Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning. Neural Networks, 2019, 117: 240-248. (SCI)

  12. Chunling Fan, Yun Zhang, Huan Zhang, Raouf Hamzaoui, and Qingshan Jiang, Picture-level Just Noticeable Difference of Compressed Stereoscopic Images:Subjective Qualitty Assessment Study and Datasets, Journal of Visual Communication and Image Representation (JVCI), 2019. (SCI IF 1.843)

  13. Guo S, Yu J, Liu X, Wang C, Jiang Q., A predicting model for properties of steel using the industrial big data based on machine learning, Computational Materials Science, 2019, 160: 95-104 SCI

  14. C. Li, Gong S., Wang X., Wang L., Jiang Q., K.Okamura, Secure and Efficient Content Distribution in Crowd sourced Vehicular Content-Centric Networking, IEEE Access, Vol 6,5727-5739,2018

  15.  Chunling Fan, Yun Zhang, Liangbing Feng, Qingshan Jiang, No reference image quality assessment based on multi-expert network, IEEE Access, 6:8934-8943,2018(SCI IF 3.244)

  16.  A.S. M. T. Hasan, Qiang Qu, C. Li, Lifei Chen, and Q. Jiang, An Effective Privacy Architecture to Preserve User Trajectories in Reward-Based LBS Applications. ISPRS International Journal of Geo-Information 7, no. 2: 53. 2018(SCI)

  17.  A .S. M. T. Hasan, Q. Jiang, Hui Chen, and Shengrui Wang, A New Approach to Privacy-Preserving Multiple Independent Data Publishing, Applied Sciences, 8(783)2018 (SCI) 

  18. Guo G., L. Chen; Y.Ye; Q.Jiang, Cluster Validation Method for Determining the Number of Clusters in Categorical Sequences, IEEE Transactions on Neural Networks and Learning Systems; 2936-2948,Volume 28, Issue 12, December 2017.

  19. Hasan, A.S.M.T.; Jiang, Q.; Li, C. An Effective Grouping Method for Privacy-Preserving Bike Sharing Data Publishing. Future Internet 2017, 9, 65.

  20. Wei Zhang, Qingshan Jiang, Lifei Chen, Chengming Li,Two-stage ELM for phishing Web pages detection using hybrid features, World Wide Web Journal,297-813,20,2017(JCR一区)

  21. Zhenchao Jiang, Liang Gu, Qingshan Jiang, Drug drug interaction extraction from literature using a skeleton long short term memory neural network, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),  552-555, 2017

  22. Guo S, D. Guo, L. Chen, Q.Jiang, A centroid-based gene selection method for microarray data classification, Journal of Theoretical Biology, 400: 32-41,2016(JCR一区)

  23.  Wei Zhang, Qingshan Jiang, Lifei Chen, Chengming Li,Two-stage ELM for phishing Web pages detection using hybrid features, World Wide Web Journal,2016;

  24. Guo Shun, Qingshan Jiang, Lifei Chen and Donghui Guo, Gene Regulatory Network Inference using PLS-based Methods,BMC Bioinformatics,2016, 17:545;

  25. Guo S, D. Guo, L. Chen, Q.Jiang, A centroid-based gene selection method for microarray data classification, Journal of Theoretical Biology, 400: 32-41,2016;

  26. Khan I., J.Z.Huang, MA. Masud, and Q.Jiang, Segmentation of Factories on Electricity Consumption Behaviors Using Load Profile Data, IEEE Access, Vol.40,8395-8406,2016;

  27. Hasan, A. S. M., Qingshan Jiang*, Jun Luo, Chengming Li, and Lifei Chen. An effective value swapping method for privacy preserving data publishing,Security and Communication Networks, Vol. 9, No. 16, 3219– 3228,2016(

  28.  Zhang W., Ren H.,Jiang Q.,Application of feature engineering for phishing detection. IEICE Transactions on Information & Systems, E99.D(4), 1062-1070,2016(SCI);  

  29. Wang Ran, Kwong Sam,Wang Xizhao, Jiang Qingshan, Segment Based Decision Tree Induction With Continuous Valued Attributes, IEEE TRANSACTIONS ON CYBERNETICS,Vol.45 No.7,1261-1275,2015(SCI) ;

  30. Tengke Xiong, Shengrui Wang, Qingshan Jiang and Joshua Zhexue Huang. A novel variable-order Markov model for clustering categorical sequence. IEEE Transactions on Knowledge and Data Engineering, Vol 26(10), 2339-2353, 2014;

  31. Pan Jiacai, Qingshan Jiang, Shao, Zheping, Trajectory Clustering by Sampling and Density ,Marine Technology Society Journal, 48(6) 74-85, 2014/12(SCI);

  32. Aftab A. C., B. Kashif,  B , T. Nikos, Z. Yu , Qingshan Jiang, S. U. Khan, and C. Xu, A comparative study on resource allocation and energy efficient job scheduling strategies in large-scale parallel computing systems, Cluster Computing, 17, Issue 4, 1349-1367,2014;

  33. Shang C., Ming Li, S. Feng, Q. Jiang, Jianping Fan, Feature selection via maximizing global information gain for text classification, Knowledge-Based SystemsVolume 54, Pages 298–309, 2013(SCI:261SV );

  34. Dan Wei, Qingshan Jiang, Yanjie Wei, Shengrui Wang, A Novel Hierarchical Clustering Algorithm for Gene Sequences, BMC Bioinformatics 2012,13:174 (SCI: 944LB);

  35. L. Chen, Q.Jiang, S. Wang. Model-based Method for Projective Clustering, IEEE Transactions on Knowledge and Data Engineering, Volume: 24 , Issue: 7 Page(s): 1291 – 1305, 2012;

  36. Weiwei Zhuang, Qingshan Jiang, Intelligent anti-phishing framework using multiple classifiers combination, Journal of Computational Information Systems, Volume: 8, Issue:17, 7267-7281,2012 (EI: 20123915472596);

  37. Tengke Xiong, Shengrui Wang, Qingshan Jiang, Joshua Zhexue Huang, A New Markov Model for Clustering Categorical Sequences,IEEE ICDM 2011, 854-863.( EI: 20120814794812)

  38. Qingshan Jiang, Yanping Zhang, Lifei Chen. An Initialization Method for Subspace clustering Algorithm. Journal of Intelligent Systems and Applications, Volume 3, Number 3,54-61,2011;

  39. Qingshan Jiang, Sheng Li, Shun Guo, Dan Wei, A New Model for Finding Approximate Tandem, Journal of Software, Vol. 6, No. 3, pp386-394,2011 (EI:20111313877734);

  40.  Yanfang Ye, Tao Li, Qingshan Jiang, Youyu Wang,CIMDS: Adapting Postprocessing Techniques of Associative Classification for Malware Detection,IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews,Vol.40 No.3, 298-307,2010 (SCI: 583NI,EI: 20101712883045);

  41. Kelil A.,S.Wang,Q.Jiang and R. Brzezinski, "A general measure of similarity for categorical sequences", Journal of Knowledge and Information Systems, Volume 24, Number 2, 197-220,2010(SCI:630DB);

  42. Yanfang.Ye, Tao Li, K.Huang, Q. Jiang, Y. Chen. Hierarchical Associative Classifier (HAC) for Malware Detection from the Large and Imbalanced Gray List. Journal of Intelligent Information Systems, 35 (1), pg. 1-20, 2010,SCI:619XQ,EI:20102813066242);

  43. Yanfang Ye,Tao Li,Yong Chen,Qingshan Jiang,Automatic Malware Categorization Using Cluster Ensemble,CD-Proceedings of the 16th ACM International Conference on Knowledge Discovery and Data Mining(SIGKDD 2010).Wshington DC, July 25-28, 95-104,2010.(EI: 20103613212077);

  44. L. Chen, Q.Jiang, S.Wang. Model-based Method for Projective Clustering, IEEE Transactions on Knowledge and Data Engineering, Volume: 24 , Issue: 7 Page(s): 1291 – 1305, 2012;

  45.  Qingshan Jiang, Yanping Zhang, Lifei Chen. An Initialization Method for Subspace clustering Algorithm. Journal of Intelligent Systems and Applications, Volume 3, Number 3,54-61,2011;

  46. Qingshan Jiang, Sheng Li, Shun Guo, Dan Wei, A New Model for Finding Approximate Tandem, Journal of Software,Vol. 6, No. 3, pp386-394,2011 (EI:20111313877734)

Research Funds

His research work has been supported by the National Natural Science Foundation of China, and the Science and Technology Programs of Guangdong and Shenzhen, China.
Research Projects

  1. National Nature Science Foundation Grant; 

  2. Guangdong: Security Control and Trusted Enhancement Management System for Large-scale Dynamic Infrastructure;

  3. Shenzhen: Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology;

  4. National Local Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology.


Lifei Chen;

Zhiling Hong;

Heshan Guan;

Yanfang Ye;

Weiwei Zhuang;

Dan Wei;

Jiacai Pan;

Wei Zhang;

Chunling Fan;

A S M Touhidul Hasan;

Jean-Pierre Niyigena;


Abdur Rasool;

Hui Chen;


more than 150 students