
刘文奇,男,中共党员,博士,二级教授,博士生导师
Email: 11305004@kust.edu.cn 或 491686445@qq.com

1983.09-1987.07 云南大学 基础数学专业 本科/学士
1994.09-1995.07 北京师范大学 应用数学专业 硕士
2000.09-2002.12 哈尔滨工业大学 基础数学专业 博士肄业
工作经历:
1987.07-1996.07 昭通教育学院 数学系 助教/讲师
1996.08-1999.07 昆明理工大学 理学院 副教授(破格)
1999.08—至今 昆明理工大学 理学院 教授(破格)

讲授“数据科学与大数据技术本科专业”的《人工智能》《分布式系统》《博弈论》以及“系统科学博士/硕士研究生”的《系统科学进展》《脑与认知科学基础》《数据科学与机器学习》《高等运筹学》等课程。
主要研究方向:数据治理;人工智能;地球系统科学;脑神经信号解码;复杂系统管理。
承担科研项目及完成情况:
1. 交互式概念认知学习系统及其应用研究,国家自然科学基金面上项目,项目编号12371460,经费63.8万,2024.01.01-2027.12.31年,主持;
2. 中国公共数据库数据质量控制的粒化方法研究,国家自然科学基金面上项目,项目编号61573173,经费76.2万,2016.01.01-2019.12.31年,主持;
获奖情况:
1. 数据驱动的多粒度异质信息变权多目标决策理论模型与方法,2022年荣获福建省自然科学奖三等奖(排名第2)
2. 幂集上的数学结构与模糊集的表现理论,1999年荣获云南省自然科学奖三等奖(排名第2)
代表性著作:
1.刘文奇. 数据博弈论. 科学出版社,2024;
2.刘文奇. 高等运筹学. 科学出版社,2016.
代表论文:
[44] Baoyi Xie, Shuiling Shi*, Wenqi Liu*. Integrated forecasting of marine renewable power: An adaptively Bayesian-optimized MVMD-LSTM framework for wind-solar-wave energy. Sustainable Energy Technologies and Assessments. 2025, 84 : 104753
https://doi.org/10.1016/j.seta.2025.104753
[43] Kamil Shah, Ya Gao*, Wenqi Liu, Usman khan, Jamal Shah. Exploring the dynamics of smoking behavior using a neural network approach with high-order polynomial perturbations. Physics Letters A. 2025, 560 : 130929
https://doi.org/10.1016/j.physleta.2025.130929
[42] Ya Gao, Kamil Shah, Meng Li, Wenqi Liu*. Utilizing structured population networks to explore cross-border minority language phase transition. Chaos, Solitons and Fractals . 2026, 202 : 117419
https://doi.org/10.1016/j.chaos.2025.117419
[41] Jin Chen, Tianye Jia, Yuning Zhang, Shu Liu, Miguel Garcia-Argibay, Jujiao Kang, Wei Li, Marco Solmi, Hongyi Sun, Wenqi Liu, Congying Chu*, Samuele Cortese*, Jiaojian Wang*. Neural–genetic–environmental evidence for a disease factor in mental and physical health multimorbidity. Nature Communications, 2025, 16:10088
https://doi.org/10.1038/s41467-025-65055-w
[40] Zaibo Zhao, Yongwen Zhang*, Dean Chen, Wenqi Liu, Jun Meng, Jingfang Fan, Xiaosong Chen, Jürgen Kurths. Anthropogenic fingerprints in global synchronization networks of high aerosol pollution events. Communications earth & environment, 2026, 7:119
https://doi.org/10.1038/s43247-025-03141-z
[39] Ya Gao, Wenqi Liu*. Minority identity and social structures shape diffusion dynamics of minority languages: a combined macro and micro approach. R. Soc. Open Sci. 2025,12: 250011
https://doi.org/10.1098/rsos.250011
[38] Shuya Ke, Wenqi Liu*. Consistency of Multiagent Distributed Generative Adversarial Networks. IEEE Transactions on Cybernetics, 2022 ,52(6):4886-4896
doi: 10.1109/TCYB.2020.3022695
[37] Shuiling Shi, Wenqi Liu*. B2-ViT Net: Broad Vision Transformer Network with Broad Attention for Seizure Prediction. IEEE Transactions on Neural Systems and Rehabilitation, 2024, 32(1):178-188
doi: 10.1109/TNSRE.2023.3346955
[36] Kamil Shah, Wenqi Liu*, Aeshah A. Raezah, Naveed Khan, Sami Ullah Khan, Muhammad Ozair, Zubair Ahmad. Unraveling pine wilt disease: Comparative study of stochastic and deterministic model using spectral method. Expert Systems with Applications, 2024, 240: 122407
doi: 10.1016/j.eswa.2023.122407
[35] Panjie Qiao, Zhiqiang Gong*, Wenqi Liu*, Yongwen Zhang, Guolin Feng, Wenjie Dong. Extreme rainfall synchronization network between Southwest China and Asia–Pacific region.
Climate Dynamics , 2021, 57:3207–3221
doi: 10.1007/s00382-021-05865-y
[34] Shuiling Shi, Wenqi Liu*. Interactive multi-agent convolutional broad learning system for EEG emotion recognition. Expert Systems with Applications, 2024, 260: p125420.
https://doi.org/10.1016/j.eswa.2024.125420
[33] Ya Gao, Jingfang Fan, Yongwen Zhang, Panjie Qian, Wenqi Liu*. Utilizing multilayer networks to explore minority languages phase transitions[J]. Information Processing & Management, 2024, 62(3): 104002.
https://doi.org/10.1016/j.ipm.2024.104002
[32] Kamil Shah, Wenqi Liu, Mohamed Anass El Yamani, Usman Khan, Sadique Rehman, Aamir Farooq. Neural network approach for cholera dynamics: Integrating deterministic and stochastic insights[J]. Knowledge-Based Systems, 2024, 296: 111957.
https://doi.org/10.1016/j.knosys.2024.111957
[31] Chenhu Yuan, Panjie Qiao*, Xiaojuan Wang, Wenqi Liu, Guolin Feng, Ning Zhao, Yongwen Zhang. A methodology for identifying southwest vortices in China. Climate Dynamics, 2024, 62:10669–10681.
https://doi.org/10.1007/s00382-024-07469-8
[30] Panjie Qiao, Zhiqiang Gong*, Wenqi Liu*, Yongwen Zhang, Guolin Feng. Asymmetrical synchronization of extreme rainfall events in southwest China. International Journal of
Climatology, 2022, 42(11), 5935–5948.
doi.org/10. 1002/joc.7569
[29] Ya Gao, Wenqi Liu*. Measures to sustain endangered languages: A bilingual competition model with sliding mode control. PLoS ONE, 2023, 18(6): e0287850
doi.org/10.1371/journal. pone.0287850
[28] Yongwen Zhang, Gaoke Hu, Xiaosong Chen, Wei Chen*, Wenqi Liu*. Study of the shear-rate dependence of granular friction based on community detection. SCIENCE CHINA Physics, Mechanics & Astronomy, 2019, 62: 40511
doi: 10.1007/s11433-018-9295-2
[27] Panjie Qiao, Wenqi Liu *, Yongwen Zhang and Zhiqiang Gong*. Complex networks reveal teleconnections between the global SST and rainfall in Southwest China. Atmosphere, 2021, 12: 101
doi: 10.3390/atmos12010101
[26] Meng Li, Wenqi Liu*. Triple‑I FMP algorithm for double hierarchical fuzzy system based on manifold learning. International Journal of Machine Learning and Cybernetics, 2019, 10: 2459-2466.
doi: 10.1007/s13042-018-0882-x
[25] Meng Li, Zengru Di, Wenqi Liu*. Trust consistency in public data games on complex networks. International Journal of Machine Learning and Cybernetics, 2021, 12: 2917–2932
doi.org/10.1007/s13042-021-01378-6
[24] Yunlong Mi, Wenqi Liu, Yong Shi, and Jinhai Li. Semi-supervised Concept Learning by Concept-cognitive Learning and Concept Space. IEEE Transactions on Knowledge and Data Engineering, 2022, 34(5): 2429-2442
doi: 10.1109/TKDE.2020.3010918
[23] Jinhai Li, Chenchen Huang, Jianjun Qi, Yuhua Qian, Wenqi Liu. Three-way cognitive concept learning via multi-granularity. Information Sciences, 2017, 378: 244-263
[22] Yingxiu Zhao, Jinhai Li*, Wenqi Liu, Weihua Xu. Cognitive concept learning from incomplete information. International Journal of Machine Learning and Cybernetics, 2017, 8(1): 159-170
[21] Yunqiang Yin, Yan Wang, TCE Cheng, Wenqi Liu, Jinhai Li. Parallel-machine scheduling of deteriorating jobs with potential machine disruptions. Omega, 2017, 69: 17–28
[20] Yong Shi, Yunlong Mi*, Jinhai Li, and Wenqi Liu. Concept-cognitive learning model for incremental concept learning. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(2): 809-821,
doi: 10.1109/TSMC.2018.2882090
[19] Yunlong Mi, Yong Shi*, Jinhai Li, Wenqi Liu, and Mengyu Yan. Fuzzy-based concept learning method: Exploiting data with fuzzy conceptual clustering. IEEE Transactions on Cybernetics, 2022, 52(1): 582-593
doi:10.1109/TCYB.2020.2980794
[18] Yongwen Zhang*, Jingfang Fan, Xiaoteng Li, Wenqi Liu and Xiaosong Chen*. Evolution mechanism of principal modes in climate dynamics. New J. Phys. 2020,22 : 093077
doi.org/10.1088/1367-2630/abb89a
[17] Yuan Chen, Dean Chen, Linru Nie, Wenqi Liu, Jingfang Fan, Xiaosong Chen and Yongwen Zhang*. Seasonal predictability of the dominant surface ozone pattern over China linked to sea surface temperature. npj Climate and Atmospheric Science , 2024,7:17
doi.org/10.1038/s41612-023-00560-7
[16] Ping Yu, Yongwen Zhang*, Jun Meng*, Wenqi Liu. Statistical significance of PM2.5 and O3 trends in China under long-term memory effects. Science of the Total Environment, 2023, 892 :164598
doi. 10.1016/j.scitotenv.2023.164598
[15] Yan Tan, Liucang Wu*, Wenqi Liu. Adaptive event-triggered control for strict-feedback systems with time-varying parameters. Int J Robust Nonlinear Control. 2024, 34: 3464–3480
doi: 10.1002/rnc.7147
[14]刘文奇. 中国公共数据库数据质量控制模型体系及实证. 中国科学:信息科学, 2014, 44:836-856
doi: 10.1360/N112013-00136
[13]刘文奇. 复杂网络上的公共数据演化博弈与数据质量控制. 中国科学:信息科学, 2016, 46:1569-1590
doi:10.1360/N112016-00114
[12]刘文奇. F格上的逼近算子. 数学学报, 2003 (06): 1163-1170
[11]刘文奇. 系统摄动估计. 系统工程理论与实践, 1990, 10(4): 5-11
[10]刘文奇. 均衡函数及其在变权分析中的应用. 系统工程理论与实践, 1997, 17(4): 58-74
[9]刘文奇. 变权综合中的惩罚-激励效用. 系统工程理论与实践, 1998, 18(4): 41-47
[8]刘文奇. 单增序列的一个性质及其在指数拟合中的应用. 系统工程理论与实践, 1998,
18(5): 68-71
[7]刘文奇. 一般变权原理与多目标决策. 系统工程理论与实践, 2000, 20(3):1-11
[6]张仕念,刘文奇*. 一种基于粗糙集理论的动态近似规则挖掘推理方法. 控制理论与应用, 2003, 20(1): 93-96
[5]余高锋,刘文奇*. 基于局部变权模型的企业质量信用评估.管理科学学报,2015, 18(2): 85-94
[4]杨波*, 张永文, 刘文奇等. 小世界网络上的自我质疑动力学演化博弈. 中国科学: 物理学力学天文学, 2018, 48: 050501
doi: 10.1360/SSPMA2018-00032
[3]李金海*,米允龙,刘文奇. 概念的渐进式认知理论与方法.计算机学报,2019,42(10):2233-2250
doi:10.11897/SP.J.1016.2019.02233
[2]米允龙,李金海*, 刘文奇等. MapReduce框架下的粒概念认知学习系统研究.电子学报,2018, 46(2): 289-297
[1]闫梦宇,李金海*, 刘文奇,张文修等.带对象结构信息形式背景的概念知识发现与演化.电子学报,2023, 51(1): 11-17
学术兼职:
1. 中国管理现代化研究会理事
2. 云南省系统工程学会副理事长/法人
3. 云南省复杂系统与类脑智能重点实验室主任
4. 昆明理工大学数据科学研究中心主任
团队骨干成员:
教 师:
张永文,博士,副教授
乔盼节,博士,讲师
李 旭,博士,讲师,校聘副教授
吕佳航,博士,讲师,校聘副教授
薛婷婷,博士,讲师
柯淑雅,博士,讲师
高 雅,博士,讲师
Kamil Shah,博士,讲师
施水玲,博士,未认定
唐小也,博士,博士后
米允龙,博士,讲师
李 萌,博士,讲师
博士生:
熊恬露,2023级
王婷钰,2023级
赵 丹,2024级
赵 玫,2025级
王 茜,2026级