个人简介

学历 2010-2014 香港理工大学/工业与系统工程/博士 2006-2009 南开大学/系统工程/硕士 2002-2006 湘潭大学/自动化/学士 工作经验 2020 至今 澳门科技大学/商学院/助理教授 2018-2020 深圳大学/管理学院/助理教授 2018 香港理工大学/工业与系统工程系/研究员 2017-2018 香港理工大学/工业与系统工程系/博士后 2013-2017 香港理工大学/工业与系统工程系/副研究员

研究领域

智能建模与优化，人工智能，新产品设计与开发，观点挖掘， 消费者动态偏好分析

研究项目 2020-2022 基于在线评论的动态客户偏好建模和产品优化研究/项目主持人/国家自然科学基金 青年项目（71901149）

近期论文

查看导师最新文章 （温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

期刊文章： 1.Huimin Jiang, C.K. Kwong, G.E. Okudan Kremerc, and W.Y. Park (2019). Dynamic modelling of customer preferences for product design using DENFIS and opinion mining. Advanced Engineering Informatics, 42, 100969. 2.Huimin Jiang, C. K. Kwong, C.Y. Chan and K. L. Yung (2019). A Multi-Objective Evolutionary Approach for Fuzzy Regression Analysis. Expert Systems with Applications, 130(2019), 225-235 3. Huimin Jiang, C.K. Kwong, W.Y. Park and K.M. Yu (2018). A multi-objective PSO approach of mining association rules for affective design based on online customer reviews. Journal of Engineering Design, 29(7), 381-403. 4. Huimin Jiang, C. K. Kwong and K. L. Yung (2017). Predicting future importance of product features based on online customer reviews. Journal of Mechanical Design, 139(11), 111413-1-10. 5. Huimin Jiang, C. K. Kwong and Woo-Yong Park (2017). Probabilistic fuzzy regression approach for preference modeling. Engineering Applications of Artificial Intelligence, 64(2017), 286-294. 6. C. K. Kwong, Huimin Jiang and X. G. Luo (2016). AI-based methodology of integrating affective design, engineering, and marketing for defining design specifications of new products. Engineering Applications of Artificial Intelligence, 47(2016), 49-60. 7. Huimin Jiang, C. K. Kwong, K. W. M. Siu and Y. Liu (2015). Rough set and PSO-based ANFIS approaches to modeling customer satisfaction for affective product design. Advanced Engineering Informatics, 29(3), 727-738. 8. Huimin Jiang, C. K. Kwong, Y. Liu and W. H. Ip (2015). A methodology of integrating affective design with defining engineering specifications for product design. International Journal of Production Research, 53(8), 2472-2488. 9. Huimin Jiang, C. K. Kwong, W. H. Ip and Zengqiang Chen (2013). Chaos-based fuzzy regression approach to modeling customer satisfaction for product design. IEEE Transactions on Fuzzy Systems, 21(5), 926-936. 10. Huimin Jiang, C. K. Kwong, Zengqiang Chen and Y. C. Ysim (2012). Chaos particle swarm optimization and T–S fuzzy modeling approaches to constrained predictive control. Expert Systems with Applications, 39(1), 194-201. 11. H. M. Jiang, C. K. Kwong, W. H. Ip and T. C. Wong. (2012). Modeling customer satisfaction for new product development using a PSO-based ANFIS approach. Applied Soft Computing, 12(2), 726-734. 12. C. K. Kwong, K. Y. Fung, Huimin Jiang, K. Y. Chan and Kin Wai Michael Siu (2013). A modified dynamic evolving neural-fuzzy approach to modeling customer satisfaction for affective design. The Scientific World Journal, 2013, 1-11. 13. K.Y. Chan, C. K. Kwong, H. Jiang, M. E. Aydin and T. C. Fogarty (2010). A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design. Expert Systems with Applications, 37(5), 3853-3862. 专著章节: Huimin Jiang, C. K. Kwong, and X. G. Luo (2016). Intelligent Quality Function Deployment. Title of book: Intelligent Decision Making in Quality Management, vol. 97, 327-362. Switzerland: Springer. 学术会议论文： 1. C. K. Kwong, Huimin Jiang, and R. Aydin (2016). Dynamic analysis of customer needs using fuzzy markov chain and fuzzy weighted average methods. Industrial Engineering and Engineering Management (IEEM), 2016 IEEE International Conference on, Bali, Indonesia, 1605-1609. 2. Huimin Jiang and C. K. Kwong (2015). A hybrid ANFIS-NSGAⅡ approach to modelling customer satisfaction for affective design. Asian Design Engineering Workshop (A-Dews2015), The Hong Kong Polytechnic University, Hong Kong, 83-88. 3. Huimin Jiang, C. K. Kwong, M. C. Law and W. H. Ip (2013). Development of customer satisfaction models for affective design using rough set and ANFIS approaches. Procedia Computer Science, 22(2013), 104-112. Proceedings, 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems-KES2013, Kitakyushu, Japan. 4. Zhang Xinghui, Jiang Huimin, Gu Zhaolin, Chen Zengqiang (2008). Temperature control of continued hyperthermic celiac perfusion based on generalized predictive self-tuning control. Proceedings, The 2008 International Conference on Intelligent Computation Technology and Automation, Hunan, China, 1163-1166. 5. Jiang Huimin, Zhang Xinghui, Wang Fanzhen, Chen Zengqiang (2008). Modelling and fuzzy predictive control of continued hyperthermic peritoneal perfusion temperature control for medical treatment. Proceedings, The 19th China Process Control Conference, Beijing, China, 224-227.