安徽大学研究生导师简介
院（系、所）：计算机科学与技术学院
姓名：程凡
性别：男
出生年月： 1979年3月



导师类别： 硕导
技术职称：教授

联系方式
chengfan@mail.ustc.edu.cn

招生专业名称
计算机科技、软件工程

主要研究方向
人工智能

机器学习（搜索引擎优化）

进化多目标优化

个人简历
2012年中国科学技术大学计算机学院获得博士学位;
2012年起在安徽大学计算机学院担任副教授、硕士生导师。
2020年起在安徽大学计算机学院担任教授、博士生导师。

学术成果
程凡，博士，安徽大学计算机科学与技术学院教授、博士生导师。安徽大学青年骨干教师。在ACM/IEEE ToNet (CCF A刊)、IEEE TCYB、IEEE TNSE、KBS、EAAI、ASC、Neurocomputing等重要SCI期刊发表学术论文30余篇，其中第一/通讯作者发表中科院2区以上15篇。主持或参与完成多项国家级省部级项目。现主持国家自然科学基金面上项目1项，教育部人文社科项目1项。担任IEEE Transactions on Systems, Man and Cybernetics、Applied Soft Computing、International Journal of Bio-Inspired Computation、Neurocomputing、电子学报、系统工程理论与实践等学术期刊审稿人。申请国家发明专利10余项。担任安徽省计算机学会ACF青年工作委员会委员。
近年部分学术论文成果如下：
[1]Fan Cheng, Feixiang Chu, Yi Xu, Lei Zhang*.A Steering-Matrix-based Multi-Objective Evolutionary Algorithm for High-Dimensional Feature Selection[J]. IEEE TRANSACTIONS ON CYBERNETIC. 2021. (在线出版，SCI期刊，中科院一区).
[2] Fan Cheng, Congtao Wang, Xingyi Zhang*. A Local-Neighborhood Information Based Overlapping Community Detection Algorithm for Large-Scale Complex Networks[J].IEEE/ACM TRANSACTIONS ON NETWORKING. 2021. (在线出版，CCF A刊，SCI期刊，中科院二区).
[3]Fan Cheng, Qiangqiang Zhang, Ye Tian^*,Xingyi Zhang. Maximizing receiver operating characteristics convex hull via dynamic reference point-based multi-objective evolutionary algorithm[J].Applied Soft Computing. 2020, 86: 1-12. (SCI期刊，中科院二区).
[4]Fan Cheng, Jiabing Chen, Jianfeng Qiu, Lei Zhang. A subregion division based multi-objective evolutionary algorithm for SVM training set selection[J].Neurocomputing. 2020, 394: 70-83.(SCI期刊，中科院二区).
[5] Fan Cheng, Yangxi Liu, Jianfeng Qiu, Lei Zhang. A Sparse Stochastic Method With Optimal Convergence Rate for Optimizing Pseudo-Linear Performance Measures [J]. IEEE Access, 2019, 7: 83729-83740. (SCI期刊，中科院二区).
[6] Fan Cheng*, Guanglong Fu, Xingyi Zhang*, Jianfeng Qiu . Multi- objective evolutionary algorithm for optimizing the partial area under the ROC curve[J]. Knowledge-Based Systems, 2019, 170: 61-69. (SCI期刊，中科院二区).
[7] Fan Cheng*, Xia Zhang et al. An adaptive mini-batch stochastic gradient method for AUC maximization[J]. Neurocomputing, 2018, 318: 137-150.(SCI期刊，中科院二区).
[8] Fan Cheng*, Wei Guo, Xingyi Zhang. MOFSRank: A Multiobjective Evolutionary Algorithm for Feature Selection in Learning to Rank[J]. Complexity, 2018, 2018.(SCI期刊，中科院二区).
[9] Fan Cheng*, Xia Zhang, Zhang C, et al. An Adaptive Robust Online Method for AUC Maximization [J]. IEEE Access, 2018, 6: 52004-52013. (SCI期刊，中科院二区).
[10] Fan Cheng*, Tingting Cui, Xingyi Zhang. A local information based multi-objective evolutionary algorithm for community detection in complex networks[J]. Applied Soft Computing, Vol. 69, pp.357-367, 2018 (SCI期刊，中科院二区).
[11] Lei Zhang, Jiajun Xia, Fan Cheng*, Jianfeng Qiu, Xingyi Zhang. Multi-objective optimization of critical node detection based on cascade model in complex networks[J].IEEE Transactions on Network Science and Engineering.2020. (SCI期刊, 通讯作者).
[12]Lei Zhang, Shangshang Yang, Fan Cheng*. An indexed set representation based multi- objective evolutionary approach for mining diversified top-k high utility patterns[J]. Engineering Applications of Artificial Intelligence, 2019, 77: 9-20. (SCI期刊，中科院二区，通讯作者).
[13] Lei Zhang, Guanglong Fu, Fan Cheng*. A Multi-Objective Evolutionary Approach for Mining Frequent and High Utility Itemsets[J]. Applied Soft Computing, Vol. 62, pp.974-986, 2018 (SCI期刊，中科院二区，通讯作者).
[14] Jianfeng Qiu, Minghui Liu, Fan Cheng*. A Multi-Level Knee Point based Multi-Objective Evolutionary Algorithm for AUC Maximization[J]. Memetic Computing, 2019, 11(3): 285-296.. (SCI期刊，中科院三区，通讯作者).
[15] Jianfeng Qiu, Jiangchuan Wan, Lei Zhang Fan Cheng*, Yongkang Luo. Community-grouping based particle swarm optimisation algorithm for feature selection[C]. //2020 IEEE Congress on Evolutionary Computation. IEEE, 2020. (EI会议，通讯作者)
[16] Ye Tian, Ran Cheng, Xingyi Zhang*, Fan Cheng, Yaochu Jin. An indicator based multi- objective evolutionary algorithm with reference point adaptation for better versatility[J]. IEEE Transactions on Evolutionary Computation. 2018, 22(4): 609-622(SCI期刊，中科院一区).
[17] Yansen Su, Chunlong Liu, Yunyun Niu, Fan Cheng, Xingyi Zhang* A community structure enhancement-based community detection algorithm for complex networks[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems.2019. (SCI中科院1区).
[18] Xingyi Zhang, Fuchen Duan, Lei Zhang*, Fan Cheng, Yaochu Jin. Pattern recommendation in task-oriented applications: A multi-objective perspective[J]. IEEE Computational Intelligence Magazine. 2017, 12(3), 43-53 (SCI中科院1区).
[19] Fan Cheng*, Dongliang Wang,Lei Zhang, Yansen Su, Jianfeng Qiu*. A Mini-Batch Stochastic Gradient Method for Sparse Learning to Rank[J]. International Journal of Innovative Computing, Information and Control. 2018, 14(4): 1207-1221.(EI期刊).
[20] Fan Cheng*, Yuan Zhou, Jian Gao, Shuang-qiu Zheng. Efficient Optimization of F-measure with Cost-Sensitive SVM. Mathematical Problems in Engineering, 2016,Vol. 2016(SCI/EI期刊).
[21] Fan Cheng*, Ying Wang, Jing-Song Wang. Direct Optimization of Partial AUC with Tighter Non-convex Loss, Journal of Computational and Theoretical Nanoscience, Vol.13，No.1，pp. 928-935，2016. (EI期刊).
[21] 程凡*，杨康，周源，一种面向不平衡数据集的直接优化G-TP/PR算法，小型微型计算机系统，第37卷，第10期，11-18，2016. (CSCD核心期刊).
[22] Fan Cheng*, Kang Yang, Lei Zhang. A Structural SVM Based Approach for Binary Classification under Class Imbalance,Mathematical Problems in Engineering, 2015,Vol. 2015(SCI/EI期刊).
[23] Fan Cheng*, Deng-Di Sun, Ying Xie. TopRank: A Novel Top-k Ranking Method Based on Rank Aggregation, International Journal of Innovative Computing, Information and Control, Vol. 11,No.2, pp.759-772, 2015. (EI期刊)
[24] Fan Cheng*, XU-FA Wang，Novel Non-Convex Online Algorithms for Robust Ranking，Journal of Information and Computational Science, 第10卷，第17期，5743-5761，2013.(EI期刊)
[25] Fan Cheng*, XU-FA Wang，RANK-META: A Two-stage Ranking Algorithm Based on Meta-Learning, Journal of Information and Computational Science,第8卷,第16期,4317-4327,2013. (EI期刊)
[26] 程凡*,王煦法，基于非凸上界的ranking模型构造算法，华南理工大学学报（自然科学版），第40卷，第4期，57-64，2012. (EI期刊)
[27]程凡*, 王煦法，一种新型直接优化NDCG的排序模型构造算法，中国科学技术大学学报，第43卷，第1期，22-30，2013.


获奖情况
合肥市科技进步三等奖
安徽大学2018、2019两届课堂教学优秀奖

在研项目
主持完成多项国家级省部级项目，现主持在研项目包括：
(1) 国家自然科学基金面上项目，基于进化多目标优化的排序学习算法研究（**MF166），2021.01—2024.12。
(2) 教育部人文社科基金，大数据环境下基于排序学习的高精度检索模型研究(18YJC870004)，2018.07—2021.06。