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Global Optimization (全局优化), Swarm Intelligence（群体智能），Evolutionary Computation（演化计算），Machine Learning（机器学习)
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代表性科研论文（限10篇内）:
1. Qunfeng Liu, William V. Gehrlein, Ling Wang, Yuan Yan, Yingying Cao, Wei Chen, and Yun Li. Paradoxes in Numerical Comparison of Optimization Algorithms. IEEE Transactions on Evolutionary Computation, 24(4), 777-791, 2020 （演化计算领域TOP1，SCI一区）
2. Yuan Yan, Qunfeng Liu*, Yun Li. Paradox-free analysis for comparing the performance of optimization algorithms. IEEE Transactions on Evolutionary Computation, online, 2022 （演化计算领域TOP1，SCI一区）
3. Qunfeng Liu, Wei-Neng, Chen, Jeremiah D. Deng, Tianlong Gu, Huaxiang Zhang, Zhengtao Yu, Jun Zhang. Benchmarking Stochastic Algorithms for Global Optimization Problems by Visualizing Confidence Intervals. IEEE Transactions on Cybernetics, 47(9), 2924-2937, 2017 (自动化领域TOP1，SCI一区)
4. Qunfeng Liu. Order-2 stability analysis of particle swarm optimization. Evolutionary Computation, 23(2), 187-216, 2015 (演化计算领域TOP2，SCI二区）
5. Qunfeng Liu. Linear scaling and the DIRECT algorithm. Journal of Global Optimization, 56(3), 1233-1245, 2013 (全局优化领域TOP2，SCI二区）
6. Qunfeng Liu, Guang Yang, Zhongzhi Zhang, Jinping Zeng. Improving the convergence rate of the DIRECT global optimization algorithm. Journal of Global Optimization, 67(4), 851–872, 2017 (全局优化领域TOP2，SCI二区)
7. Qunfeng Liu, Wenhong Wei, Huaqiang Yuan, Zhi-Hui Zhan, Yun Li. Topology selection for particle swarm optimization. Information Sciences, 363,154-173, 2016 (工程技术领域TOP，SCI一区)
8. Qunfeng Liu, Jinping Zeng, Guang Yang. MrDIRECT: A multilevel robust DIRECT algorithm for global optimization problems. Journal of Global Optimization, 62(2), 205-227, 2015 (全局优化领域TOP2，SCI二区）
9. Qunfeng Liu, Jinping Zeng. Global optimization by multilevel partition. Journal of Global Optimization, 61 (1), 47-69, 2015 (全局优化领域TOP2，SCI二区）
10. Qunfeng Liu and Wanyou Cheng. A modi?ed DIRECT algorithm with bilevel partition. Journal of Global Optimization, 60 (3), 483-499, 2014 (全局优化领域TOP2，SCI二区）
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出版专著:
1. 刘群锋, 严圆. 全局最优化: 基于递归深度群体搜索的新方法. 清华大学出版社, 2021，ISBN：9787302581871，购买链接http://www.tup.tsinghua.edu.cn/booksCenter/book_09066701.html
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研究生代表性成果（限10项内）：
1. 严圆, Qunfeng Liu*, Yun Li. Paradox-free analysis for comparing the performance of optimization algorithms. IEEE Transactions on Evolutionary Computation, online, 2022 （演化计算领域TOP1，SCI一区）
2. 李鑫鑫, Shuai Hua, Qunfeng Liu, Yun Li. A partition-based convergence framework for population-based optimization algorithms. Information Sciences, 627, 169–188, 2023（SCI一区）
3. 陈彩凤, 严圆, Qunfeng Liu. An Adaptive Differential Evolution with Extended Historical Memory and Iterative Local Search. Applied Soft Computing, 2022, acceptd. （SCI二区）
4. Qunfeng Liu, 吴巽锋, Qiuzhen Lin, Junkai Ji, Ka-Chun Wong. A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion. Swarm and Evolutionary Computation, 60, 100787, 2021 (SCI二区)
5. 严圆, Qin Zhou, Shi Cheng, Qunfeng Liu*, Yun Li. Bilevel-search particle swarm optimization for computationally expensive optimization problems. Soft Computing, 25(22), 14357-14374, 2021（SCI三区）
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主持科研项目:
进化算法数值比较的若干理论问题研究及其应用，国家自然科学基金面上项目(2018/01-2021/12)
多水平粒子群优化及其动态分析，广东省自然科学基金面上项目（2016.01-2018.12）
基于粒子群优化的群动态决策模型，教育部人文社会科学基金青年项目（2013.1-2015.12）
基于多水平演化的群体智能优化算法，广东省普通高校国家级重点领域专项(2020.1-2022.12)
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学术团体：
中国数学学会会员（广东省数学学会理事2021-）
中国人工智能学会会员 2020 -
中国仿真学会会员 2018 -（智能仿真优化与调度专委会委员）
中国计算机学会会员 2016 -
国际全局优化协会会员Member of International Society of Global Optimization（http://www.isogop.org/membership）2013---
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期刊审稿人:
IEEE TEVC, IEEE TITS, IEEE TNNLS,
Scientific Reports
Journal of Computational Design and Engineering
Swarm Intelligence
Swarm and Evolutionary Computation
ACM Computing Surveys
Artificial Intelligence Review
Optimization and Engineering
International Journal of Bio-inspired Computation
Pacific Journal of Optimization
Mathematical Modeling and Analysis
Journal of Computational Mathematics
Numerical Algorithms
Computational Optimization and Applications
Computational Intelligence and Neuroscience
IEEE access
计算机应用
yl7773永利学报
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学术会议审稿人, 程序委员会成员:
CEC 2018-2023
ICACI 2020
BIC-TA 2019
WCCI 2016
ICSI 2018-2023
DMBD 2018-2023
SEAL 2017
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主讲课程
计算智能，运筹学，最优化方法，数值分析，概率论与数理统计
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招生要求
（1）选我做指导老师的本科生或研究生，需要熟悉Matlab或Python编程，喜欢数值仿真与数值计算；
（2）建议提前学习我的《计算智能》慕课 https://www.ulearning.cn/course/14591；
（3）招收研究生优先考虑入学考试的数学和英语成绩总分高于150分者。
