出访及挂职经历
* ASME 2015 International Design Engineering Technical Conferences &Computers and Information in Engineering Conference (IDETC/CIE 2015) 国际会议, August 2-5, 2015, Boston, Massachusetts, USA
* 2015 International Conference on Engineering Design (ICED15) 国际会议,July 27-30, 2015, Milan, Italy.
* 2016年第十二届设计与制造前沿国际会议(International Conference on Frontiers of Design and Manufacturing,ICFDM 2016), Shenyang, China, 10-12 August. 2016.
* 2017 International Conference on Engineering Design (ICED17) , Vancouver, Canada
代表性论文专著
* Qi Jin, Hu Jie. Peng Yinghong. Integrated rough VIKOR for customer-involved design concept evaluation combining with customers’ preferences and designers’ perceptions[J]. Advanced Engineering Informatics, 2020, 46: 101138.
* Qi Jin, Hu Jie. Peng Yinghong. New design concept evaluation method involving customer preferences based on rough distance to redefined ideal solution[J]. Computers & Industrial Engineering, 2020, 147: 106677.
* Qi Jin, Hu Jie. Multivariable case-based reason adaptation based on multiple-output support vector regression with similarity-related weight for parametric mechanical design[J]. Advances in Mechanical Engineering, 2018, 10(10): 1687814018804649.
* Qi Jin, Hu Jie, Peng Yinghong. An integrated principle solution synthesis method in multi-disciplinary mechatronic product conceptual design[J]. Concurrent Engineering, 2018, 1687814018767681.
* Qi Jin. Integrating multiple adaptation results by utilization of support vector regression in case-based mechanical product design[J]. Advances in Mechanical Engineering, 2018, 10(3): 1-18.
* Qi Jin, Hu Jie, Peng Yinghong. A modularized case adaptation method of case-based reasoning in parametric machinery design[J]. Engineering Applications of Artificial Intelligence, 2017, 64: 352-366.
* Qi Jin, Hu Jie, Peng Yinghong. Hybrid weighted mean for CBR adaptation in mechanical design by exploring effective, correlative and adaptative values. Computers in Industry. 2016, 75: 58-66.
* Qi Jin, Hu Jie, Peng Yinghong. Incorporating adaptability-related knowledge into support vector machine for case-based design adaptation. Engineering Applications of Artificial Intelligence. 2015, 37: 170-180.
* Qi Jin, Hu Jie, Peng Yinghong, Chai Xinyu, Ren Qiushi. Case based time series prediction using biased time warp distance for electrical evoked potential forecasting in visual prostheses. Applied Soft Computing. 2013, 13(5): 2467–2477.
* Qi Jin, Hu Jie, Peng Yinghong. A new adaptation method based on adaptability under k-nearest neighbors for case adaptation in case-based design. Expert Systems with Applications. 2012, 39(7): 6485-6502.
* Qi Jin, Hu Jie, Peng Yinghong, Ren Qiushi, Wang Weiming, Zhan Zhenfei. Electrical evoked potentials prediction model in visual prostheses based on support vector regression with multiple weights. Applied Soft Computing. 2011, 11(8): 5230-5242.
* Qi Jin, Hu Jie, Peng Yinghong, Wang Weiming, Zhan Zhenfei. AGFSM: A new FSM based on adapted Gaussian membership in case retrieval model for customer-driven design. Expert Systems with Applications. 2011, 38(1): 894-905.
* Qi Jin, Hu Jie, Peng Yinghong, Ren Qiushi, Wang Weiming, Zhan Zhenfei. Integration of similarity measurement and dynamic SVM for electrically evoked potentials prediction in visual prostheses research. Expert Systems with Applications. 2011, 38(5): 5044-5060.
* Qi Jin, Hu Jie, Peng Yinghong, Wang Weiming, Zhan Zhenfei. A case retrieval method combined with similarity measurement and multi-criteria decision making for concurrent design. Expert Systems with Applications. 2009, 36(7): 10357- 10366.
* Qi Jin, Hu Jie, Peng Yinghong, Wang Weiming, Zhan Zhenfei. New weighted fuzzy case retrieval method for customer-driven product design. Journal of Shanghai Jiaotong University (Science). 2010, 15(6): 641-650.
* Hu Jie, Qi Jin, Peng Yinghong, Ren Qiushi. Predicting electrical evoked potential in optic nerve visual prostheses by using support vector regression and case-based prediction. Information Sciences. 2015, 290: 7-21.
* Hu Jie, Qi Jin, Peng Yinghong. New CBR adaptation method combining with problem–solution relational analysis for mechanical design. Computers in Industry. 2015, 66: 41-51.