Zexuan ZHU

College of Computer Science ans Software Engineering
Shenzhen University
Administration Building 446
Nanhai Avenue 3688
Shenzhen, P.R.China, 518060
Tel.: +86 (0) 755 2673 2704
Fax: +86 (0) 755 2653 4078
Email: zhuzx@szu.edu.cn

CALL FOR PAPERS:

Zexuan ZHU is currently an associate professor with the College of Computer Science and Software Engineering, Shenzhen University, China. He received his B.Sc degree from the Department of Computer Science and Engineering, Fudan University, China, in 2003 and the Ph.D degree from the School of Computer Engineering, Nanyang Technological University, Singapore, in 2008.

Research Interests

• Computational Intelligence.
• Machine Learning.
• Bioinformatics.
• Computing Physics.

Academic Experience

• 2011 – Present: Associate Professor, Shenzhen University
• 2009 – 2010: Lecturer, Shenzhen University
• 2007 – 2008: Project Officer/Research Fellow, Nanyang Technological University.
  Project: Grid-based Problem Solving Environment for Engineering of Materials
  Duty: Design and develop new data mining or machine learning techniques for identifying important figures/configurations in alloy materials and predicting the structural and electronic properties of new materials.
• 2003-2007: Ph. D Candidate.
  Thesis: Memetic Algorithm for Feature/Gene Selection
  Main contributions: Proposed new memetic frameworks for synergy between filter and genetic algorithm wrapper feature/gene selection methods. Three novel memetic feature/gene selection algorithms, i.e. WFFSA, MBEGA, and MBE-MOMA, are proposed and applied for microarray and other high-dimensional data sets.

Teaching Courses

• Computational Intelligence
• Computer Fundamentals
• Operating System
• Multimedia Technology and Applications
• Advanced Technique Seminars

Software/Source Code

Memetic Algorithm For Feature Selection (WFFSA and MBEGA)

Publications

Journal Papers:

1. Zexuan Zhu, J. Zhou, Z. Ji, and Y.-H. Shi, "DNA sequence compression using particle swarm optimization based Memetic algorithm", IEEE Transactions on Evolutionary Computation, Vol. 15, No. 5, pp. 643-558, 2011.
2. Z. Ji, J. Zhou, Zexuan Zhu and Q. H. Wu, "Bioinformatics features based DNA Sequence data compression algorithm", Acta Electronica Sinica, Vol. 39, No. 5, pp. 991-995, 2011.(In Chinese)
3. Z. Ji, T. Tian and Zexuan Zhu, "The survey on evolvable hardware research", Journal of Shenzhen University Science and Engineering, Vol. 28, No. 3, pp. 255-263, 2011. (In Chinese)
4. Zexuan Zhu, S. Jia, and Z. Ji, “Towards a Memetic Feature Selection Paradigm”, IEEE Computational Intelligence Magazine, Vol. 5, No. 2, pp. 41-53, 2010.
5. Zexuan Zhu, Y. S. Ong and M. Zurada, “Simultaneous Identification of Full and Partial Class Relevant Genes'', IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 7, No. 2, pp. 263-277, 2010.
6. J.-Q. Li, Zexuan Zhu, Z. Ji, H.-L. Pei, "Invariant sets of hybrid autonomous aystems with disturbance", Mathematical Problems In Engineering,  Vol. 2010, Article no.: 289678, 2010.
7. X. F. Fan, Zexuan Zhu, L. Liu, Z. X. Shen, and J.-L. Kuo, “Theoretical Study on Structural Stability of Alloy Cages: A Case of Silicon-Doped Heterofullerenes”, Communications in Computational Physics. 8:289-303, 2010.
8. X. F. Fan, Zexuan Zhu, Z. X. Shen, and Jer-Lai Kuo, “On the use of Bond Counting Rules in Prediciting the Stability of C12B6N6 Fullerene”, Journal of Physical Chemistry C, Vol. 112, No. 40. pp. 15691-15696, 2008.
9. H. J. Rong, Y. S. Ong, A. H. Tan, and Zexuan Zhu, “A fast pruned-extreme learning machine for classification problem”, Neurocomputing, Vol. 72, No. (1-3), pp. 359-366, 2008.
10. Zexuan Zhu, Y. S. Ong and M. Dash, “Markov Blanket-Embedded Genetic Algorithm for Gene Selection”, Pattern Recognition, Vol. 49, No. 11, pp. 3236-3248, 2007. (Datasets)
11. Zexuan Zhu, Y. S. Ong and M. Dash, “Wrapper-Filter Feature Selection Algorithm Using A Memetic Framework”, IEEE Transactions On Systems, Man and Cybernetics - Part B,  Vol. 37, No. 1, pp. 70-76, 2007.
12. X. F. Fan, Zexuan Zhu, Y. S. Ong, Y. M. Lu, Z. X. Shen, and Jer-Lai Kuo, “A direct first principle study on the structure and electronic properties of BexZn1-xO”, Applied Physics Letters, 91, 121121, 2007.

Conference Papers & Book Chapters:

1. Zexuan Zhu, Z. Ji, X. F. Xiao and J.-L. Kuo, "Memetic figure selection for cluster expansion in binary alloy systems", 2011 IEEE Symposium Series on Computational Intelligence (SSCI 2011) - - 2011 IEEE Workshop on Memetic Computing (MC 2011), pp. 15-20, 2011.
2. J. Zhou, Z. Ji, L. Shen, Zexuan Zhu and S. Chen, "PSO based memetic algorithm for face recognition Gabor filters selection", 2011 IEEE Symposium Series on Computational Intelligence (SSCI 2011) - - 2011 IEEE Workshop on Memetic Computing (MC 2011), pp. 9-14, 2011.
3. Z. Ji, W. Liu and Zexuan Zhu, "Gene clustering using particle swarm optimizer based memetic algorithm", The Second International Conference on Swarm Intelligence (ICSI 2011), Lecture Notes in Computer Science, Vol. 6728, PART 1, pp. 587-594, 2011.
4. L. Tao, H.Chen, Y. Xu and Zexuan Zhu, "A new promoter recognition method based on features optimal selection", The 5th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2011), pp. 1-4, 2011.
5. Zexuan Zhu, Z. Ji, and S. Jia, Memetic Ant Colony Optimization for Band Selection of Hyperspectral Imagery Classification, CCPR 2010, pp. 1012-1017, October 21-23, Chongqing, China, 2010.
6. S. Jia, Z. Ji, Zexuan Zhu, and Y. Qian, Feature Selection Technique for Hyperspectral Imagery Classification with Noise Reduction Preprocessing. CCPR 2010, pp. 325-329, October 21-23, Chongqing, China, 2010.
7. Zexuan Zhu, S. Jia, and Z. Ji, Affinity propagation based memetic band selection on hyperspectral imagery datasets, IEEE CEC 2010 July 18-23, Barcelona, Spain, 2010.
8. Zexuan Zhu, Yew-Soon Ong, and Jer-Lai Kuo, “Feature Selection Using Single/Multi-Objective Memetic Algorithms”,Chapter 6, pp. 111-132, Multi-objective Memetic Algorithms”, Springer Series of "Studies in Computational Intelligence", Vol. 171, Goh, Chi-Keong; Ong, Yew-Soon; Tan, Kay Chen. ISBN: 978-3-540-88050-9, 2009
9. Zexuan Zhu, X. F. Fan, Y. S. Ong, and Jer-Lai Kuo, “Prediction of Binary Alloy Properties Using Computational Intelligence Techniques”, 3rd MRS-S Conference on Advanced Materials, Institute of Materials Research and Engineering, Singapore, 25 - 27 Feb, 2008.
10. Jer-Lai Kuo, X. F. Fan, Zexuan Zhu, Y. S. Ong, “A Grid-ready Multi-scale Method to Study Order/Disorder Transitions in Ice Physics and Semiconductor Alloys”, 3rd MRS-S Conference on Advanced Materials, Institute of Materials Research and Engineering, Singapore, 25 - 27 Feb, 2008.
11. H. Wu, X. F. Fan, Zexuan Zhu, and Jer-Lai Kuo, “Inequivalent Cell Shapes for hcp Lattice and the Corresponding Configurations of Binary Alloys”, 3rd MRS-S Conference on Advanced Materials, Institute of Materials Research and Engineering, Singapore, 25 - 27 Feb, 2008.
12. Zexuan Zhu and Y. S. Ong, “Memetic Algorithms for Feature Selection On Microarray Data”,Proceedings of the 4th International Symposium on Neural Networks: Advances in Neural Networks (ISNN2007), pp.1327-1335, Nanjing, China, 3-7 Jun, 2007.
13. Zexuan Zhu, Y. S. Ong, K. W. Wong and K. T. Seow, “Experimental Condition Selection in Whole-Genome Functional Classification”,Proceedings of the 2004 IEEE Conference on Cybernetics and Intelligent Systems (CIS2004), pp. 295-300, Singapore, December 2004.
14. S. K. Ng, Zexuan Zhu and Y. S. Ong,  “Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray  Data”,Proceedings of the second conference on Asia-Pacific bioinformatics (APBC2004), pp. 123-129, Dunedin, New Zealand, 18 - 22 Jan 2004.

Activities

• Chair of:
  Vice Chair of IEEE Computational Intelligence Society, Emergent Technologies Task Force on Memetic Computing.
  Co-chair of IEEE WCCI 2012, Special Session on Memetic Computing, June 10-15, Brisbane, Australia, 2012.
  Technical Committee Co-Chair of The third International Conference on Swarm Intelligence (ICSI 2012), June 17-20, Shenzhen, China
  Co-Chair of The Workshop on Memetic Computing (IEEE SSCI 2011) April 11 – 15, 2011 Halle aux Farines, Paris, France.
  
• Reviewer of:
  IEEE Transcations on Evolutionary Computation
  IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
  IEEE Computational Intelligence Magazine
  Neurocomputing
  Soft Computing
  Applied Soft Computing
  International Journal of Systems Science
  Statistical Methodology
  Memetic Computing
• Member of:
  Technical Committee of IEEE Computational Intelligence Society, Emergent Technologies Task Force on Collaborative Learning and Optimization.
  Program Committee of Special Session on Differential Evolution: Past, Present and Future, IEEE WCCI 2012
  Program Committee of Special Session on Autonomous Evolutionary Optimization, IEEE WCCI 2012
  Program Committer of Evolutionary Combinatorial Optimization and Metaheuristics (ECOM) Track, GECCO 2011
  Program Committer of Evolutionary Combinatorial Optimization and Metaheuristics (ECOM) Track, GECCO 2012
  Senior Program Committee of International Conference on Computational Learning for Aerospace, ICCLA2011
  Program Committee of Special Section on Hybrid Evolutionary Algorithms, Hyper-heuristics and Memetic Computation, IEEE CEC 2010
  Program Committee of The 1st International Conference on Computational Systems-Biology and Bioinformatics, CSBio2010