(1) Excellent member and senior member of China Computer Federation.

(2) Member of the Professional Committee of Artificial Intelligence and Pattern Recognition of China Computer Federation.

(3) Standing Committee member of Multi-valued Logic and Fuzzy Logic Professional Committee of China Computer Federation.

(4) Member of the Professional Committee of Knowledge Engineering and Distributed Intelligence of China Artificial Intelligence Society.

(5) Member of Machine Learning Professional Committee of China Artificial Intelligence Society.

(6) Standing Committee member of Rough Set and Soft Computing Professional Committee of China Artificial Intelligence Society.

(7) Standing Committee of Artificial Intelligence Professional Committee of Jiangsu Computer Society.

(8) Member of Big Data Expert Committee of Jiangsu Computer Society.

Served as the editorial board of the following international journals:

(1)IJCI editor: international cooperation in journal of information.

(2) Deputy Editor-in-Chief of JDCTA: Journal of Digital Content Technology and Application.

(3)JCIT Editorial Board: Journal of Converged Information Technology

(4) Editorial Committee of AISS: Progress of Information Science and Service Science.

(5) Editorial Committee of International Journal of Progress in Computing Technology.

(6) Editorial Committee of JCP: chinese journal of computers.

(7) Editorial Committee of JSW: Journal of Software

(IPL Editorial Board: Information Processing Express)

(9) Amis: Applied Mathematics and Mathematics; Information science editorial board

As a special editor of the following international journals:

(1) Applied Mathematics and Mathematics; Visiting editor of information science.

(2) Information of guest editors

(3) Guest editor of Neurocomputing

(4) Guest editor of Science World Magazine.

(5) Visiting editor of Mathematical Problems in Engineering.

(6) Guest Editor of Computer Journal (JCP)

(7) Guest Editor of Software Journal (JSW)

(8) Guest Editor of Network Magazine

As a special reviewer of the following international SCI source journals:

(1) journal of the china society for scientific and technical information

(2) Application of Soft Computing

(3) Information Science

(4) Computational Statistics and Data Analysis

(5) IEEE Transactions on Fuzzy Systems

(6) International Journal of Pattern Recognition and Artificial Intelligence

(7) Neural Computing

(8) Soft Computing

(9) Pattern Recognition

(10) Pattern Recognition Letters

As a peer review expert for the following domestic core journals:

China Computer Journal

(2) Software magazine

(3) Computer research and development

(4) China Science

(5) Journal of Electronic Science

(6) Pattern recognition and artificial intelligence

(7) Computer science

(8) Small microcomputer system

(9) Computer application research

(10) Computer Engineering and Science

(1 1) microelectronics and computers

Chairman or member of the Preparatory Committee for the following domestic and international conferences:

(1) Chairman of the Project Committee of the National Academic Conference on Intelligent Information Processing

(2) Chairman of the Program Committee of Jiangsu Artificial Intelligence Academic Conference.

20 12+03+04 chairman of the international symposium on information, intelligence and computing.

(4) Member of the Project Committee of the International Conference on Granular Computing.

(5) Member of the Project Committee of the International Conference on Intelligent Information Processing.

(6) Member of the Project Committee of China Machine Learning Conference.

(7) Members of China Rough Set and Soft Computing, China Granular Computing, China Web Intelligence Joint Conference Program Committee, etc.

Ding. research direction

Pattern recognition and artificial intelligence

Machine learning and data mining

Rough set and soft computing

Granularity calculation

Perception and cognitive computing

Ding. Academic achievements.

Completed projects:

1.200 1-2003 participated in and completed the research of the national natural science foundation project "information pattern recognition theory and its application in geosciences" (project number: 4007400 1).

2. 1999-200 1 presided over the completion of the project "information pattern recognition theory and its application in pest prediction" of the provincial education department.

3. 1998-2000 presided over the completion of the project of the provincial education department "Research on modern biometric prediction technology of crop diseases and insect pests".

4. From 2005 to 2006, he presided over the national postdoctoral science fund project "Research on Visual Perception Learning Theory and Its Application" (No.:2005037439).

5. From 2004 to 2006, he presided over the open fund project of Shandong State Key Laboratory of Crop Biology "Study on Digital Pattern Classification of Maize Diseases and Pests in Shandong Province" (No.:200400 10).

6. In 2006-2008, he participated in the project of National Natural Science Foundation "Information Model Research of Multivariate Data and Geoscience Data Analysis" (No.:405700 1).

7. From 2006 to 2009, he participated in the national 863 high-tech project "Intelligent Information Processing Technology Based on Perception Mechanism" (No.:2006AA0 1Z 128).

8. From 2007 to 2065438+00, he presided over the open fund project of Key Laboratory of Intelligent Information Processing of China Academy of Sciences "Research on Theory and Algorithm of Pattern Feature Analysis Based on Cognition" (No.IIP2006-2).

9.20 10-20 12 presided over the basic research plan of Jiangsu province (natural science foundation) "Research on granular knowledge discovery for high-dimensional complex data" (No.BK2009093).

10.20112012 presided over the open project of Beijing Key Laboratory of Intelligent Communication Software and Multimedia of Beijing University of Posts and Telecommunications "Research on Granular SVM Method and Application".

11.2010-2012 participated in the national natural science foundation project "Research on parallel data mining algorithm and theory in distributed computing environment" (No.:60975039).

12.2011-2013 presided over the open fund project of the Key Laboratory of Intelligent Information Processing of China Academy of Sciences "Research on the Theory and Algorithm of Granular Support Vector Machines for High Dimensional Complex Data" (No.IIP20 10- 1).

Projects currently under way:

1.2013.1-2017.12 presided over the national key basic research and development plan (973 plan) project "Cognitive computing model of brain-computer cooperation" (No.:2013c

2.2014.1-2017.12 presided over the national natural science foundation project "Research on key theories and technologies of multi-granularity knowledge discovery for large-scale complex data" (No.:613791066)

3.2011.1-2013.12 participated in the national natural science foundation project "Multi-spatial pattern analysis method and its application research in survey" (No.:4 1074003).

Published works:

1. Ding, Jin Fengxiang, Zhao. Modern data analysis and information pattern recognition. Beijing: Science Press, 20 12.

2. Part D. Artificial intelligence. Beijing: Tsinghua University Publishing House, 20 10.

3. Shi Zhongzhi Knowledge Project. Beijing: Tsinghua University Publishing House, 20 1 1 (edited by Ding et al.)

4. Shi Zhongzhi. Neural Network, Beijing: Higher Education Press, 2009 (Ding, Xin Xu, etc. Editor-in-Chief. )

Published papers:

20 14

[1] Ding, Jia, Jin Fengxiang. Research on semi-supervised spectral clustering algorithm based on pairwise constraints. Neural computing and its application, 2014,24 (1): 211-219. (SCI，EI)

[2] Ding, Jia, Jin Fengxiang. Granular neural network. Review of artificial intelligence, 2014,41(3): 373-384. (SCI，EI)

Ding, Huang Huajuan, Xu Xinzheng, Polynomial Smooth Double Support Vector Machine. Applied mathematics and mathematics. Information Science, 2014,8 (4)

[4] Ding, Zhong Zhishi. Intelligent computing and application tracking. Neurocomputing, 20 14, vol. 130, 1-2. (SCI，EI)

[5] Ding, Hua. Recursive least squares projection double support vector machine. Neurocomputing, 20 14, vol. 130, 3-9. (SCI，EI)

Hua, Ding. Locally preserving support vector machine. Computer research and development, 2014,51(3) (ei)

20 13

[1] Xu Xinzheng, Ding, Jia Weikuan, Jin Fengxiang. Research on Neural Network Combination Optimization Classification Algorithm Based on Ordinary Least Squares (OLS). Neural Computing and Applications, 2013,22 (1):187-193. (SCI，EI)

[2] Ding, AARON Li, Su Chunyang, Yu, Jin Fengxiang. Evolutionary artificial neural networks: a review. Review of artificial intelligence, 2013,39 (3): 251-260. (SCI，EI)

[3], Ding,. Research on the algorithm of individual neural network generation and integration based on quotient space granularity clustering. Applied mathematics and mathematics. Information Science, 2013,7 (2): 701-708. (SCI，EI)

AARON Li, Ding. Research and development of granular neural network. Applied mathematics and mathematics. Information Science, 2013,7 (3):1251-1261. (SCI，EI)

[5] Ding, Bing Juanqi, Jia,. Semi-supervised spectral clustering based on constrained extension. Neural Computing and Application, 2013,22 (Suppl1): 405-410. (SCI，EI)

[6] Ding,, Jia Weikuan. Study on optimizing Elman neural network with genetic algorithm. Neural Computing and Application, 2013,23 (2): 293-297. (SCI，EI)

[7] Hua, Ding Shifei, Zhong. Original Least Squares Twin Support Vector Regression. Journal of Zhejiang University Natural Science Edition C, 20 13, 14(9):722-732. (SCI，EI)

[8] Ding, Han Youzhen, Yu, Gu Yaxiang. Fast fuzzy support vector machine based on information granulation. Neural computing and application, 2013,23 (Suppl1): s139-s144 (sci, EI).

Huang Huajuan, Ding,. Polynomial smooth double support vector regression machine. Microelectronics and Computer, 2013,30 (10): 5-8.

[10] Ding, Huang Huajuan. Weighted smoothing CHKS double support vector machine. Journal of Software, 2013,24 (11): 2548-2557.

[1 1] Jia, Ding. Spectral clustering algorithm based on neighborhood rough set reduction. Journal of Nanjing University. Natural Science Edition, 2013,49 (5): 619-627.

[12],, Ding, Xu Xinzheng, A parallel attribute reduction algorithm based on similarity propagation clustering. Chinese journal of computers, 2013,8 (4): 990-997. (EI)

[13], Ding, Bao Lina. Attribute granulation based on attribute difference and AP algorithm. Journal of Software, 8(4):834-84 1. (EI)

[14], Ding, Xu Xinzheng, Xing Wanqiu. Research on prediction algorithm of extreme learning machine based on rough set. Chinese journal of computers, 2013,8 (5):1335-1342. (EI)

Li, Ding. Neural network classification model based on covering and affine propagation clustering algorithm. Journal of Computational Information Systems, 2013,9 (7): 2565-2573. (EI)

[16] Ding, Yu, Huang Huajuan, Double support vector machine based on particle swarm optimization. Chinese journal of computers, 2013,8 (9): 2296-2303. (EI)

[17] Huang Huajuan, Ding,. Invasive weed optimization algorithm based on hybrid kernel dual support vector machine parameter optimization. Chinese journal of computers, 2013,8 (8): 2077-2084. (EI)

[18] Jia, Ding, Bao Lina. A weighted spectral clustering algorithm based on knowledge entropy. Journal of Software, 2013,8 (5):11kloc-0/-108. (EI)

Novel image recognition based on subspace and SIFT. Journal of Software, 2013,8 (5):1109-116. (EI)

[20] Ding, Ru Nie, Yu, Huang Huajuan. Double support vector machine based on quantum particle swarm optimization. Journal of Software, 2013,8 (7):1743-1750. (EI)

[2 1] Ding, Xu Xinzheng, Bao Lina. A new extreme learning machine based on mixed kernel function. Chinese journal of computers, 2013,8 (8): 2112117 (EI)

[22] Ding, Huang Huajuan, Ru Nie. Stock price forecasting method based on polynomial smooth twin support vector regression. Lecture notes on computer science, 20 13, volume 7995, 20 13, page 96- 105. (EI)

20 12

[1] Ding, Jia Weikuan, Su Chunyang. Summary of feature extraction in pattern recognition. Review of artificial intelligence, 2012,37 (3):169-180. (SCI，EI)

[2] Ding, Su Chunyang, Jin Fengxiang. An optimization method of RBF neural network based on genetic algorithm. Neural Computing and Applications, 2012,21(2): 333-336. (SCI，EI)

[3] Ding, the soldiers are all together. Research on granular support vector machine. Artificial Intelligence Review, 2012,38 (1):1-7. (SCI，EI)

[4] Xin, Ding Shifei, Zhong,. Optimization of radial basis function neural network based on rough set and affine propagation clustering algorithm. Journal of Zhejiang University-Natural Science Edition (Computer and Science Edition; Electronics), 20 12,13 (2):131-138. (SCI，EI)

[5] Qi Bingjuan, Ding, Huang Huajuan, Yu. A support vector extraction method based on clustering membership. International Journal of Digital Content Technology and Its Application, 2012,6 (13):1-10. (EI)

Chang Tong, Ding Shifei,,, Jia. A granularity attribute reduction algorithm based on binary discernibility matrix. International Journal of Progress in Computing Technology, 2012,4 (12): 213-221. (EI)

[7] Hua, Ding. Projection double support vector machine based on matrix mode. International Journal of Digital Content Technology and Its Application, 2012,6 (20):172-181. (EI)

Yu, Ding, Huang Huajuan. Double support vector machine based on rough set. International Journal of Digital Content Technology and Its Application, 2012,6 (20): 493-500. (EI)

Huang Huajuan, Ding. A granular support vector machine based on mixed kernel function. International Journal of Digital Content Technology and Its Application, 2012,6 (20): 484-492. (EI)

[10] Ding (guest editor). Special issue: information and computer progress, chinese journal of computers, 2012,7 (10): 2351-2353. (EI)

(Invited Editor) Ding. Special issue: information and network progress. Journal of Network, 2012,7 (7):1007-1008. (EI)

(included by EI, the login number is 20123415368412).

[12] Ding (guest editor). Special issue: information and network progress. Journal of Software, 7(9): 1923- 1924. (EI)

[13] Ding, Yu (guest editor). Special issue: progress in computer and electronic engineering. Chinese journal of computers, 2012,7 (12): 2851-2852. (EI)

[14] Ding, Zhu Hong, Xu Xinzheng, Shi Zhongzhi. Research on fuzzy information measurement based on entropy. Chinese journal of computers, China, 2012.35 (4): 796-801(ei).

[15] Hong Chu, Ding, Xu Xinzheng. Fine-grained parallel AP clustering algorithm based on improved attribute reduction. Computer research and development, 2012,49 (12): 2638-2644 (ei).

[16] Xu Xinzheng, Ding, Shi Zhongzhi, Zhao Zuopeng, Hong Chu. Adaptive parameter determination method of pulse-coupled neural network based on QPSO. Pattern recognition and artificial intelligence, 2012,25 (6): 909-915 (ei).

[17] Ma Gang, Ding, Shi Zhongzhi. Rough RBF neural network based on extreme learning. Microelectronics and Computer, 2012,29 (8): 9-14.

20 1 1 year

[1] Ding, Jia Weikuan, Su Chunyang, et al. Research on neural network algorithm based on factor analysis and cluster analysis. Neural computing and application, 20 1 1, 20(2): 297-302 (SCI, EI).

[2] Ding, Chun Yangsu, Yu. An optimized BP neural network algorithm based on genetic algorithm. Artificial intelligence review, 20 1 1, 36Algorithm. Review of artificial intelligence, 20 1 1, 36 (2):153-162 (sci, EI).

[3], Ding, Jia WEIkuan, Su Chunyang, et al. Research on Neural Network Algorithm Based on Factor Analysis and Cluster Analysis. Neural Computing and Application, 201,20(2): 297-302 (SCI, ei).

[4] Ding, Chun Yangsu, Yu. An optimized BP neural network algorithm based on genetic algorithm. Review of artificial intelligence, 20 1 1, 36 (2):153-162 (sci, EI).

[5] Ding, Xu Li, Zhao, Jin Fengxiang. A clustering algorithm based on information visualization. International Journal of Digital Content Technology and Its Application, 201,5( 1): 26-3 1 (EI).

[6] D,,,. A feature selection algorithm based on tolerance granularity. Journal of Converged Information Technology, 20 1 1, 6 (1):191-95 (ei).

[7] Ding, Li Jianying, Xu Li, Gwan Chin. Research Progress of Granular Computing (GrC). International Journal of Digital Content Technology and Its Application, 201,5 (1):162-172 (.

Ding, Xu Li, Zhao, Jin Fengxiang. A clustering algorithm based on information visualization. International Journal of Digital Content Technology and Its Application, 201,5( 1): 26-3 1 (EI).

[9] Ding,,,. A feature selection algorithm based on tolerance granularity. Journal of Converged Information Technology, 20 1 1, 6 (1):191-95 (ei).

[10] ding, Li Jianying, Xu Li, Gwan Chin. research progress of granular computing. international journal of digital content technology and its application, 201,5 (1):162-170.

[1 1] Ding,, Xinzheng Xu, Rough neural networks: a survey. Journal of Computing Information System, 20 1 1, 7(7): 2338-2346(EI).

[12] Ding, Xu Xinzheng, Research on artificial neural network optimization algorithm based on genetic algorithm. Chinese journal of computers, 20 1 1, 6 (5):939-946 (EI).

[13] Ding, Gu Yaxiang. Double membership fuzzy support vector machine algorithm based on hypersphere. Journal of Computing Information System, 20 1 1, 7(6): 2028-2034 (EI).

Ding, Qi Bingjuan, Tan Hongyan. Overview of support vector machine theory and algorithm. Journal of University of Electronic Science and Technology of China, 201,40 (1): 2- 10 (EI).

Jia Weikuan, Ding, Xu Xinzheng, Su Chunyang, Shi Zhongzhi. Research on factor feature extraction algorithm based on Shannon entropy. Pattern recognition and artificial intelligence, 20 1 1, 24 (3): 327-33 1 (EI).

20 10 years ago

[1] Ding, Wei Kui Anjia, Xu Xinzheng, et al. Neural network algorithm based on factor analysis. Lecture Notes on Computer Science, Volume 6063/20 10, Page 3 19-324 (EI).

[2], Ding, Jia Weikuan, Su Chunyang, et al. An improved BP neural network algorithm based on factor analysis. Journal of Fusion Information Technology, 20 10/0,5 (4):103-108 (ei).

[3] D,,,. Research and development of clustering algorithm based on granular computing. International Journal of Digital Content Technology and Its Application, 20 10/0,4 (5): 96-104 (EI).

[4] Ding, Su Chunyang,. Optimization of Artificial Neural Network by Genetic Algorithm, Journal of Information Technology, 20 10/0,5 (8) 5(8): 54-62 (EI).

[5], Ding, LEI Xiaofeng, et al. Research on principal component decision algorithm based on information entropy. Journal of Information Science, 2009,35 (1):127 (sci, ei).

[6] Ding, Su Chunyang, Jia Weikuan, Jin Fengxiang, Shi Zhongzhi. Some progress in semi-supervised learning. Journal of information and science. Computational Science, 2009,6 (1): 211-217 (ei).

[7] Ding Shifei, Xia Shixiong, Feng, Zhong. New fuzzy information closeness. Journal of Information Science, 2007,33 (6): 678-685 (SCI, EI).

[8] Ding, Shi Zhongzhi. Supervised feature extraction algorithm based on improved polynomial entropy. Journal of Information Science, 32(4): 309-3 15, 2006.8 (SCI, EI)

[9] Ding, Shi Zhongzhi. Research on association pattern recognition based on information entropy. Journal of information science, 3 1(6):497-502, 2005. 12 (SCI, EI).

[10] Ding, Jin Fengxiang. Information characteristics of discrete K-L transform based on information entropy. Journal of China Nonferrous Metals Society, June 2003.

[1 1] Zhongzhi Shiding. Symmetric cross entropy and information feature compression algorithm. Journal of Computing Information System, 1(2): 247-252, June 2005.6 (EI).

[12] Ding, Shi Zhongzhi. Research on information clustering algorithm based on MID. Journal of China Electronics, 15, Volume 4A, Page 9 18-920, 2006 (SCI, EI).

[13] Ding, Shi Zhongzhi. Feature compression algorithm of supervised information based on divergence. Lecture Notes on Computer Science, Volume 39765438 +0/2006, Page142/-1426 (SCI, EI).

[14] Ding, Zhongzhi history. A new feature compression algorithm for supervised information. Lecture Notes on Computer Science, Volume 39965438 +0/2006, pp. 777-780 (SCI, EI).

[15] Ding, Zhong Zhishi, Jin Fengxiang. Optimize feature compression and FNN implementation. Lectures on Control and Information Science, Volume 344/2006, Page 95 1-956 (SCI, EI).

[16] Ding, Zhong Zhishi and Jin Fengxiang. Supervised feature extraction algorithm based on continuous divergence criterion. Lectures on artificial intelligence, Vol. 4 1 14/2006, pp. 268-277 (SCI, EI).

Ding, Jia Weikuan, Xu Xinzheng, Su Chunyang. Research on Elman neural network algorithm based on PLS. Journal of Electronics, 20 10, 38 (2a): 7 1-75 (ei).

[18] Xu Xinzheng, Ding, Shi Zhongzhi, Jia Weikuan. New theory and method of image segmentation. Journal of Electronics, 20 10/0,38 (2a): 76-82 (ei).

[19] Ding, Jin Fengxiang. Research on pattern recognition algorithm of fuzzy grey information integration. Journal of Computer Aided Design and Graphics, 2004, 16(3):275-278 (EI).

Ding, Jin Fengxiang, Shi Zhongzhi. Information feature compression algorithm based on partial least square method. Journal of Computer Aided Design and Graphics, 2005, 17 (2): 368-37 1 (EI).

[2 1] Ding, Shi Zhongzhi. Research on direct clustering algorithm based on generalized distance. Computer Research and Development, 2007,44 (4): 674-679 (EI).

Ding, Huang Huajuan. Weighted smoothing CHKS double support vector machine. Journal of Software, 2013,24 (11): 2548-2557 (ei).

Ding won the prize.

1.In 2007, it won the nomination award of national excellent doctoral dissertation.

2. In 2006, he won the Excellent Doctoral Dissertation Award in Shandong Province.

3. In 2007, he won the second prize of outstanding scientific research achievements in Shandong universities, ranking 1.

4. In 2006, he obtained the excellent post-doctoral report from Institute of Computing Technology, Chinese Academy of Sciences.

4. In 2004, he won the second prize of outstanding scientific research achievements in Shandong universities, ranking 1.

5.200 1 won the third prize of teaching achievement in Shandong Province, ranking fourth.