[2] Liu, Wei Weiyi, Yue, Kun, Song, Ning, Ding, Li. A graphical model and genetic algorithm to simplify the approximate Nash equilibrium calculation of static game. Journal of intelligence and engineering. Robot system, 60(2), pp 24 1-26 1, 2011. (EI，SCIE)
[3] Yue, Kun, Yao, Yu, (Li Jin), Liu, Wei Yi, Qualitative Probabilistic Network and Reducing Ambiguity. Applied Intelligence, vol. 33, No.2, pp. 159- 178, pp. 20 18.
[4] Yue, Kun, Liu, Wang, Xiaoling, Zhou, Ao Ying, (Li Jin). Semantic association discovery of web services based on qualitative probabilistic network. Expert System and Application, 36 (5), pp. 9082-9094, 2009/7. (EI，SCI)
[5] (Li Jin), Liu, Yue Kun, Resource Selection Game with Cost Constraints for Microeconomic Data Mining, 2009, Vol.4, pp.247-25 1, 2009 International Conference on Artificial Intelligence and Computational Intelligence, 2009 (EI,)
Li Jin, Yue Kun, Liu. An adaptive markov model for text classification. [a] In: Proceedings of the Third International Conference on Intelligent Systems &; Knowledge engineering (ISKE 08). IEEE Press. 2008 1 1 month, Xiamen, China, 802-807(ISTP Xiamen)
[7] Yue Kun, Liu,,, Li Jin. A Web service quality measurement method based on the superposition of uncertain factors. Computer research and development, 46 (05), PP 84 1-849, 2009/5/ 15 (China hownet). (EI)
Wei-Liu Yi, Kun Yue, (Li Jin),. A graphical model and genetic algorithm to simplify the calculation of approximate Nash equilibrium in static game. Journal of Intelligent and Robotic Systems
Kun Yue, (Li Jin), Wei-. Qualitative probabilistic network with reduced ambiguity. Applied intelligence. Volume 33, No.2, 159- 178, doi:10.1007/s10489-008-0156-5. (SCI、EI)
Li Jin, Yue Kun, Liu. A Nash Equilibrium Method for Multi-Agent Interaction Model [J]. Computer Science, Vol.34, No.3, 200718/-185.
Liu Weimin, Li Jun (Li Jin), Yue Guodong, Song Nan and Yao. A method for solving fuzzy games [J]. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems. Volume 14. June 3, 2006. World science publishing company. (SCI)
Li Jin, Liu. Solving Nash Equilibrium of Graph Game [J]. Computer Engineering and Application, 2004, Vol.40, No.26.62-65.
Li Jin, Liu. Construction of multi-agent influence diagram [J]. Journal of Yunnan University (Natural Science Edition), Vol.26, No.2, 2004, p. 15- 1 18.
Li Jin, Yue Kun, Liu. Chinese spam filtering method based on adaptive Markov model. [A] Proceedings of the 25th National Conference on Computer Science Databases (Supplement) (NDBC'08). 2008) .2008, 10, Guilin, Guangxi, 183
Yue Kun, Li Jin, Shi Pan, Liu. Automatic extraction of Web service topics based on semantics. [J] Proceedings of the 25th National Conference on Computer Research and Development Database (Supplement) (NDBC'08)
[16] Wei-,(Li Jin), Kun Yue, Graphical model and simplification of genetic algorithm for calculating approximate Nash equilibrium of static game [A] are contained in: The 3rd International Conference on Natural Computing (ICNC'07) and the 4th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'07) [C]. Haikou, China, 2007. (EI)
Li Jin, Liu,. Genetic algorithm for solving graphic games [A]. Proceedings of the 2004 International Symposium on Distributed Computing and Its Applications in Commerce, Engineering and Science [C]. Wuhan, China, 2004. 372–377.(ISTP)
Liu, Li Jin. Multi-stage influence diagram decision-making with genetic algorithm [a]. Proceedings of the 2004 international symposium on distributed computing and its application in business, engineering and science [C]. Wuhan, China, 2004. 372–377.(ISTP)
[19],, Liu, Li Jin, Modeling opponents' beliefs in static games with incomplete information by Bayesian networks [A]. See: Proceedings of the Third International Conference on Machine Learning and Cybernetics [C]. Shanghai, August 2004, pp. 249-252. (EI)