中文
Hong Peng
  • Gender: male
  • Department: School of Computer and Software Engineering
  • Appointment Post: Professor
  • Degree: Ph.D
  • Academic Credentials:
  • Graduate School: UESTC
  • Phone: 1368344048x
  • Email: ph.xhu at hotmail.com, ph.xhu at foxmail.com
  • Office Location: 5th floor, building #6
  • Address: Chengdu
  • Fax:

Personal profile

Hong Peng received the B.S. degree and the M.E. degree in Mathematics from Sichuan Normal University, Chengdu, China in 1987 and 1990, and the PhD degree in Signal and Information Processing from University of Electronic Science and Technology of China, Chengdu, China in 2010. He was a lecturer in the Sichuan College of Science and Technology, China (1990-1999) and an associate professor in Xihua University, China (2000-2004). He was a visiting scholar in Research Group of Natural Computing, University of Seville, Spain (2011.09-2012.08). He is currently a professor in the School of Computer and Software Engineering, Xihua University, China since 2005. Dr. Peng has published more than 100 papers as first author (corresponding author) or co-authors in academic journals or conferences. His current research interests include membrane computing, machine learning, pattern recognition and image processing, and so on.

Work experience

(1) Since 2005: Professor in the School of Computer and Software Engineering, Xihua University, China. (2) 2011.09-2012.08: Visiting scholar in Research Group of Natural Computing, University of Seville, Spain. (3) 2000-2004: Associate professor in Xihua University, China. (4) 1990-1999, Lecturer in the Sichuan College of Science and Technology, China.

Education experience

(1) PhD degree in Signal and Information Processing from University of Electronic Science and Technology of China, Chengdu, China in 2010. (2) M.E. degree in Mathematics from Sichuan Normal University, Chengdu, China in 1990. (3) B.S. degree in Mathematics from Sichuan Normal University, Chengdu, China in 1987.

Research Direction

Membrane Computing, Machine Learning (Deep Learning), Pattern Recognition and Image Processing, and so on.

Academic Achievements

1. Academic papers
  H. Peng has published more than 100 papers as first author (corresponding author) or co-authors, including membrane computing, image processing, digital watermasking and signal processing. Please visit the web papges:
(1) Google scholar: https://scholar.google.com/citations?user=uBD6HDgAAAAJ&hl=zh-CN

(2) Researchgate: https://www.researchgate.net/profile/Hong_Peng4


  The selected journal/conference papers are listed as follows:

[1] H. Peng, J. Wang. Coupled neural P systems.IEEE Transactions on Neural Networks and Learning Systems, 30(6), 1672-1682, 2019.  (SCI, JCR=1, IF=7.982)  

[2] H. Peng, J. Wang, J. Ming, P. Shi, M.J. Pérez-Jiménez, et al. Fault diagnosis of power systems using intuitionistic fuzzy spiking neural P systems. IEEE Transactions on Smart Grid, 9(5), 4777-4784, 2018. (SCI, JCR=1, IF=7.365)

[3] J. Wang, P. Shi, H. Peng, M.J. Pérez-Jiménez, T. Wang. Weighted fuzzy spiking neural P systems. IEEE Transactions on Fuzzy Systems, 21(2), 209-220, 2013. (SCI, JCR=1, IF=8.415)

[4] H. Peng, J. Yang, J. Wang, T. Wang, Z. Sun, X. Song, X. Luo, X. Huang. Spiking neural P systems with multiple channels. Neural Networks, 95, 66-71，2017. (SCI, JCR=1, IF=7.197)

[5] H. Peng, J. Wang, P. Shi, M.J. Pérez-Jiménez, et al. An extended membrane system with active membrane to solve automatic fuzzy clustering problems, International Journal of Neural Systems, 26(3), 1650004, 1-17, 2016. (SCI, JCR=1, IF=4.580)

[6] H. Peng, J. Wang, P. Shi, M.J. Pérez-Jiménez, A. Riscos-Núñez. Fault diagnosis of power systems using fuzzy tissue-like P systems. Integrated Computer-Aided Engineering, 24(4), 401-411, 2017. (SCI, JCR=2, IF=3.667)

[7] H. Peng, J. Wang, M.J. Pérez-Jiménez, A. Riscos-Núñez. Dynamic threshold neural P systems. Knowledge-Based Systems, 163, 2019, 875–884. (SCI, JCR=2, IF=4.396)

[8] H. Peng, P. Shi, J. Wang, A. Riscos-Núñez, M.J. Pérez-Jiménez. Multiobjective fuzzy clustering approach based on tissue-like membrane systems. Knowledge-Based Systems, 125, 74-82, 2017. (SCI, JCR=2, IF=4.396)

[9] J. Wang, P. Shi, H. Peng, Membrane computing model for IIR filter design. Information Sciences, 329, 164–176, 2016. (SCI二区、IF=4.305)

[10] H. Peng, J. Wang, M.J. Pérez-Jiménez, et al. An unsupervised learning algorithm for membrane computing, Information Sciences, 304, 80-91, 2015. (SCI, JCR=2, IF=4.305)

[11] H. Peng, J. Wang, M.J. Pérez-Jiménez, H. Wang, J. Shao, T. Wang. Fuzzy reasoning spiking neural P system for fault diagnosis. Information Sciences, 235, 106-116, 2013. (SCI, JCR=2, IF=4.305)

[12] T. Wang, X. Wei, T. Huang, J. Wang, H. Peng, M.J. Pérez-Jiménez, L. Valencia Cabrera. Modeling fault propagation paths in power systems: a new framework based on event SNP systems with neurotransmitter concentration. IEEE Access, 7(1), 12798-12808, 2019. (SCI, JCR=2, IF=3.557)

[13] H. Peng, J. Wang. A hybrid approach based on tissue P systems and artificial bee colony for IIR system identification. Neural Computing and Applications, 28(9), 2675-2685, 2017. (SCI, JCR=2, IF=4.215)

[14] H. Peng, J. Wang, M.J. Pérez-Jiménez, A. Riscos-Núñez. The framework of P systems applied to solve optimal watermarking problem. Signal Processing, 101, 256-265, 2014. (SCI, JCR=2, IF=3.470)

Teaching Work

(1) Master Courses:

    Algorithm design and analysis.

(2) Undergraduate courses:

    Database principles, Software engineering, C language program design, .NET program design, SQL Server database, Linux operating system, and so on.

Honor Rewarde

Social Appointments

(1) Since 2013, ACMC (Asian Conference on Membrane Computing), member of program committee;

(2) Since 2013, ICICIC (International Conference on Innovative Computing, Information and Control), member of program committee.

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