1. The special session of ADMMLT in INISTA2017, Program Committee
   
2. ACIIDS 2017, Program Committee
   
3. The 8th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2017), Co-Chair
   
4. The 7th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2016), Co-Chair
   
5. Army Educational Outreach Program, Las Vegas, USA, 2016, Research Mentor
   
6. International Journal IJIPSI Reviewer
   
7. International Conference MISNC 2015 Reviewer
   
8. International Conference ASE SocialInformatics 2015 Program Committee
   
9. International Conference ASE SocialInformatics 2015 Website Chair
   
10. International Conference ASE BigData 2015 Program Committee
    
11. International Conference ASE BigData 2015 Website Chair

• The Fourth National Conference on Web Intelligence and Applications (NCWIA 2015) Best Paper Award M. T. Wu, T. P. Hong and C. N. Lee, “A Binary-Coding ACS Approach for Continuous Domains”
  

*corresponding author

1.  J. M. T. Wu, J. Zhan and J. C. W. Lin, Ant Colony System Sanitization Approach to Hiding Sensitive Itemsets. IEEE Access (Just accepted)
2.  J. M. T. Wu, J. Zhan and  J. C. W. Lin, An ACO-based approach to mine high-utility itemsets. Knowledge-Based Systems, Vol. 116, pp. 102-113, 2017
   
3. J. C. W. Lin, T. Li, P. Fournier-Viger, T. P. Hong, J. M. T. Wu, and J. Zhan, Efficient Mining of Multiple Fuzzy Frequent Itemsets. International Journal of Fuzzy Systems, 2016
   
4. M. T. Wu, T. P. Hong and C. N. Lee, A dynamic-edge ACS algorithm for continuous variables problems. Natural Computing, pp. 1-14, 2016
   
5. T. P. Hong, Y. C. Lee and M. T. Wu, An effective parallel approach for genetic-fuzzy data mining. Expert Systems with Applications, Vol. 41(2), pp. 655-662, 2014
   
6. M. T. Wu, T. P. Hong and C. N. Lee, Using the ACS approach to solve continuous mathematical problems in engineering. Mathematical Problems in Engineering, 2014
   
7. M.T. Wu, J. S. Wu, C. N. Lee and M. C. Chen, “A Genetic Algorithm-Fuzzy-Based Voting Mechanism Combined with Hadoop Map-Reduce Technique for Microarray Data Classification”, Journal of Computers, Vol. 24(3), pp. 40-48, 2013 
   
8. M. T. Wu, T. P. Hong and C. N. Lee, A continuous ant colony system framework for fuzzy data mining. Soft Computing, Vol. 16(12), pp. 2071-2082, 2012
   
9. M. T. Wu, T. P. Hong and C. N. Lee, An improved ant algorithm for fuzzy data mining. Lecture Notes in Artificial Intelligence. Vol. 6422, pp. 344-351, 2010
   
10. T. P. Hong, Y. F. Tung, S. L. Wang, Y. L. Wu and M. T. Wu, A multi-level ant-colony mining algorithm for membership functions. Information Sciences, Vol. 182(1), pp. 3-14, 2012
    
11. T. P. Hong, Y. F. Tung, S. L. Wang, M. T. Wu and Y. L. Wu, An ACS-based framework for fuzzy data mining. Expert Systems with Applications, Vol. 36(9), pp. 11844-11852, 2009
    
12. T. P. Hong and M. T. Wu, A hierarchical gene-set genetic algorithm, Journal of Computers, Vol. 3(11), pp. 67-75, 2008
    
13. (Under Review) J. M. T. Wu, H. Selim, J. Zhan and P. K. Parsa, Bragg Edge Determination for Using Genetic Algorithm. IEEE Access
14. (Under Review) P. Ezatpoor, J. Zhan J. M. T. Wu* and C. Chiu, Finding Top-k Dominance on Incomplete Big Data Using MapReduce Framework IEEE Access
15. (Under Review) J. M. T. Wu, J. Zhan and A. Tamrakar, High Utility Itemset Mining with Pruning Strategies Approach. ACM Transactions on Knowledge Discovery from Data
16. (Under Review) J. C. W. Lin, L. Yang, P. Fournier-Viger, J. M. T. Wu, and T. P. Hong, Mining of Skyline Patterns by Considering both Frequency and Utility Constraints. EAAI
    

1. J. M. T. Wu, J. Zhan and J. C. W. Lin, Mining of High-Utility Itemsets by ACO Algorithm, Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics, 2016
   
2. M. T. Wu, T. P. Hong and C. N. Lee, A binary-coding ACS approach for continuous domains, The Fourth National Conference on Web Intelligence and Applications, 2014
   
3. M. T. Wu, T. P. Hong and C. N. Lee, An extended ACS approach for continuous domains, The International Conference on Advanced Information Technologies, 2013
   
4. M. T. Wu, T. P. Hong and C. N. Lee, An improved ant algorithm for fuzzy data mining, The International Conference on Computational Collective Intelligence, Part II, pp. 344-351, 2010
   
5. T. P. Hong and M. T. Wu and Y. C. Lee, Using dynamic mutation rates in gene-set genetic algorithms, IEEE International Conference on Systems, Man, and Cybernetics, pp. 4018-4022, 2010
   
6. T. P. Hong, Y. F. Tung, S. L. Wang, M. T. Wu, Y. L. Wu, Extracting membership functions in fuzzy data mining by ant colony systems, The International Conference of Machine Learning and Cybernetics, pp. 3979-3984, 2008
   
7. T. P. Hong and M. T. Wu, Genetic algorithms with gene sets, The Joint Conference of the Third International Conference on Soft Computing and Intelligent Systems and the Seventh International Symposium on Advanced Intelligent Systems, pp. 2193-2197, 2006
   
8. T. P. Hong, M. T. Wu, Y. F. Tung and S. L. Wang, Using escape operations in gene-set genetic algorithms, IEEE International Conference on Systems, Man, and Cybernetics, pp. 3907 - 3911, 2007
   
9. T. P. Hong, Y. C. Lee and M. T. Wu, Using master-slave parallel architecture for GA-fuzzy data mining, IEEE International Conference on Systems, Man, and Cybernetics, pp. 3232-3237, 2005
   

Research Fields

• Big Data
• Cloud Computing
  
• Artificial Intelligence
• Deep Learning
• Data Mining
• Fuzzy Theory
• Evolutionary Computation

Programming Language Skills

• C / C++
• Java
• Swift
• Python
• Ruby
• Ruby on Rails
• Javascript
• MySQL

Languages

• Chinese (Native Speaker)
• English (Fair)