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, 27(5), 1275-1287, 2023 （演化计算领域TOP1，SCI一区）
3. Qunfeng Liu, Yunpeng Jing, Yuan Yan, Yun Li. Mean-based Bourda count method for paradox-free comparisons of optimization algorithms. Information Sciences, 660, 120120, 2024 (工程技术领域TOP，SCI一区)
4. 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)
5. 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）
6. 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）
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 modified 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年，ISBN：9787302581871
2. 刘群锋, 严圆, 陈彩凤, 景云鹏. 全局最优化: 算法评价与数值比较. 清华大学出版社, 2024年, ISBN: 9787302672395
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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, 27(5), 1275-1287, 2023 （演化计算领域TOP1，SCI一区）
2. Qunfeng Liu, 景云鹏, 严圆, Yun Li. Mean-based Bourda count method for paradox-free comparisons of optimization algorithms. Information Sciences, 660, 120120, 2024（SCI一区）
3. 陈彩凤, Qunfeng Liu, 景云鹏, 张明明, Shi Cheng, Yun Li. On the representativeness metric of benchmark problems in numerical optimization. Swarm and Evolutionary Computation, 91(2024), 101716（SCI一区）
4. 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）
5. 陈彩凤, 严圆, Qunfeng Liu. An Adaptive Differential Evolution with Extended Historical Memory and Iterative Local Search. Applied Soft Computing, 125, 109203, 2022. （SCI二区）
6. 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)
7. 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:
1. 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)
2. 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）
3. 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）
4. 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：
广东省数学学会理事，广东省工业与应用数学学会理事
中国仿真学会智能仿真优化与调度专委会委员
中国计算机学会会员，中国人工智能学会会员
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主讲课程
计算智能，最优化方法，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.
