黄翰，男，博士，华南理工大学软件学院教授、博士生导师；兼任中国仿真学会智能仿真优化与调度专委会副主任、中国工业数学与应用数学学会数据科学与人工智能专委会副秘书长、广东省本科高校软件工程专业指导委员会主任委员、广东省计算机学会软件工程专业委员会秘书长、广东保险业咨询专家、广东省计算机学会第十一届区块链专委会副主任、广州工业与应用数学学会副主任、广东省大数据与计算广告工程技术研究中心技术委员会主任。

发表文章

黄翰教授以第一作者或通讯作者在IEEE CIM、IEEE TCYB、INS、《中国科学》、《计算机学报》和GECCO等国内外权威学术刊物及顶级国际会议上发表学术论文60多篇，并有代表作入选了ESI。

期刊论文：  

1. Han Huang, Junpeng Su, Yushan Zhang, Zhifeng Hao; An Experimental Method to Estimate Running Time of Evolutionary Algorithms for Continuous Optimization; IEEE Transactions on Evolutionary Computation; [DOI:10.1109/TEVC.2019.2921547].（JCR Q1期刊，影响因子8.508）

2. Han Huang, Fangqing Liu, Zhongming Yang, Zhifeng Hao; Automated Test Case Generation Based on Differential Evolution with Relationship Matrix for iFogSim Toolkit; IEEE Transactions on Industrial Informatics; vol.14, no.11, pp.5005-5016.（JCR Q1期刊，影响因子7.377）

3. Han Huang, Yihui Liang, Xiaowei Yang, Zhifeng Hao; Pixel-level Discrete Multiobjective Sampling for Alpha Matting; IEEE Transactions on Image Processing; vol.28,  no.8, pp.3739-3751.（JCR Q1期刊，影响因子6.79）

4. Yihui Liang, Han Huang*, Zhifeng Hao, Zhaoquan Cai; Multiobjective evolutionary optimization based on fuzzy multi-criteria evaluation and decomposition for image matting; IEEE Transactions on Fuzzy Systems; vol.27, no.5, pp.1100-1111.（JCR Q1期刊，影响因子8.759）

5. Xueming Yan, Han Huang*, Zhifeng Hao and Jiahai Wang; A Graph-based Fuzzy Evolutionary Algorithm for Solving Two-Echelon Vehicle Routing Problems; IEEE Transactions on Evolutionary Computation; [DOI:10.1109/TEVC.2019.2911736].（JCR Q1期刊，影响因子8.508）

6. Han Huang, Fangqing Liu, Zhifeng Hao; Differential Evolution Based on Self-Adaptive Fitness Function for Automated Test Case Generation; IEEE Computational Intelligence Magazine; vol.12, no.2, pp.46-55. 55.（JCR Q1期刊，影响因子5.587）

7. Yihui Liang, Han Huang*, Zhifeng Hao, Kay Chan Tan; Deep Infrared Pedestrian Classification Based on Automatic Image Matting; Applied Soft Computing; Vol.77, pp.484-496. （JCR Q2期刊，影响因子4.873）

8. Yushan Zhang, Han Huang*, Zhiyong Lin, Zhifeng Hao, Guiwu Hu; Running-time analysis of evolutionary programming based on Lebesgue measure of searching space; Neural Computing and Applications; vol.30, no.2, pp.617-626.（JCR Q2期刊4.664）

9. Yushan Zhang, Han Huang*, Hongyue Wu; Theoretical analysis of the convergence property of a basic pigeon-inspired optimizer in a continuous search space; SCIENCE CHINA Information Sciences; vol.62, no.7, pp.070207.（CCF B类期刊，影响因子2.731）

10. Gang Li, Zhifeng Hao, Han Huang*, Hang Wei, Xueming Yan; A Maximum Algebraic Connectivity Increment Edge-based Strategy for Capacity Enhancement in Scale-free Networks; Physics Letters A; vol.383, no.17, pp.2046-2050[DOI: 10.1016/j.physleta.2019.04.001].（JCR Q2期刊，影响因子2.087）

11. Han Huang, Shujin Ye, Zhun Fan, Zhiyong Lin, Liang Lv, Zhifeng Hao; Evolutionary programming with a simulated-conformist mutation strategy; SOFT COMPUTING; vol.22, no.2, pp.659-679.（JCR Q2期刊，影响因子2.784）

12. Han Huang, Hongyue Wu*, Yushan Yu, Zhiyong Lin, Zhifeng Hao; Running time Analysis of Ant System Algorithms with Upper-bound Comparison; International Journal of Swarm Intelligence Research (IJSIR); vol.8, no.4, pp.1-17.

13. Yushan Zhang, Han Huang*, Zhifeng Hao, Guiwu Hu; First hitting time analysis of continuous evolutionary algorithms based on average gain; Cluster Computing; vol.19, no.3, pp.1323-1332.（JCR Q2期刊，影响因子1.851

会议论文：  

1. Zhang Yushan, Huang Han*, Hao Zhifeng; Runtime analysis of pigeon-inspired optimizer based on average gain model; IEEE CEC 2019, 10-13 June 2019, Wellington, New Zealand.

2. Liang Yihui, Han Huang*, Zhaoquan Cai, and Liang Lv; Particle Swarm Optimization with Convergence Speed Controller for Sampling-Based Image Matting; International Conference on Intelligent Computing; Springer, Cham, 2018. Best Paper Nomination.

3. Liu Fangqing, Huang Han*, Hao Zhifeng; Evolutionary algorithm with convergence speed controller for automated software test data generation problem; 2017 IEEE Congress on Evolutionary Computation (CEC), San Sebastian, 2017.6.5-2017.6.8.

4. Liang Lv, Han Huang, Zhaoquan Cai, and Yihui Liang*; Improving Sample Optimization with Convergence Speed Controller for Sampling-based Image Matting; BIC-TA 2016.

5. Ding Donghui, Huang Han*, Yan Xueming; Research of Chinese key-phrase extraction based on Lexical Rule and Apriori Algorithm; 2016 International Conference on Machine Learning and Cybernetics, ICMLC 2016, Jeju Island, Korea,2017.3.6,2:832-837.

6. Yan Xueming, Huang Han*, Hao Zhifeng, Li Gang; A human-machine cooperative approach for combinatorial optimization problem; 2016 International Conference on Machine Learning and Cybernetics, ICMLC 2016, Jeju Island, Korea, 2017.3.6, 2:838-843.

7. Liang Lv, Han Huang*, Zhaoquan Cai, Hui Hu; Using Particle Swarm Large-scale Optimization to Improve Sampling-based Image Matting; 17th Genetic and Evolutionary Computation Conference, GECCO 2015,Madrid,2015.7.11-2015.7.15.

8. Xu Changjian, Huang Han*, Lv Liang; An Adaptive Convergence Speed Controller Framework for Particle Swarm Optimization Variantsin Single Objective Optimization Problems; IEEE International Conference on Systems; Man, and Cybernetics, SMC 2015, Kowloon Tong, Hong kong, 2016.1.12, p2684-2689.