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Dr. Jimmy Ming-Tai Wu

吴明泰

I received my PhD degree in the Department of Computer Science and Engineering from National Sun Yat-sen University, Taiwan. I am currently Postdoctoral Research Fellow in the Department of Computer Science, University of Nevada, Las Vegas, USA. My research emphases are based on Artificial Intelligence, Data Mining, Fuzzy Theory, Evolutionary Computation, Deep Learning, Big Data and Cloud Computing.

本人于中山大学(台湾)修读资讯工程学系并取得博士学位,并于高雄大学(台湾)取得应用数学学士学位和电机工程硕士学位,目前于美国内华达州立大学拉斯维加斯分校(University of Nevada, Las Vegas)Computer Science Department 任职博士后研究员。 我的主要研究方向为:Artificial Intelligence, Data Mining, Fuzzy Theory, Evolutionary Computation, Deep Learning, Big Data and Cloud Computing. 

[email protected]
(702) 292-2709

Major Employment History

工作经历

Experience 01, Feb 2016 - Present

Postdoctoral Research Fellow, The Department of Computer Science, University of Nevada, Las Vegas, USA

Experience 02, Dec 2014 - Dec 2015

Postdoctoral Research Fellow, Department of Computer Science and Engineering, National University of Kaohsiung, Kaohsiung, Taiwan

Experience 03, Feb 2015 - Jun 2015

Adjunct Assistant Professor, Department of Information Management, Cheng Shiu University, Kaohsiung, Taiwan

Experience 04, Feb 2013 - Jun 2013

Adjunct Lecturer, Department of Information Management, Cheng Shiu University, Kaohsiung, Taiwan

Experience 05, Feb 2013 - Jul 2013

Research Assistant, Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan

Experience 06, Jan 2007 - Jul 2013

IT Manager, Information Technology, Analog Express International Limited, Kaohsiung, Taiwan

Education History

学业经历

Ph.D of Engineering, Apr 2014

Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan

Dissertation Title:  A Dynamic-Edge Ant-Colony-System Algorithm for Solving Continuous Domain Problems

Master of Engineering, Apr 2006

Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan

Dissertation Title: Hierarchical Gene-Set Genetic Algorithms for Optimization

Bachelor of Science, Apr, 2004

Department of Applied Mathematics, National University of Kaohsiung, Kaohsiung, Taiwan


Editorial and Review Jobs / Projects

参与项目

  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

Taiwan Ministry of Science and Technology Project
  1. A Study on Compact Representation of Frequent Itemsets in Data Mining (2014/12/01 ~ 2015/11/30)
  2. A Study on Extending the ACS Algorithm for Continuous Solution Spaces (2013/08/01 ~ 2014/07/31)
  3. A Study of New Approaches for Privacy-Preserving Data Mining (2011/08/01 ~ 2014/07/31)

Honor

获奖

  • 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”

Publications (Journals)

期刊论文

*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

Publications (Conferences)

会议论文

  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

Skills

专业能力

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)



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