个人简介

个人简历 2000年合肥工业大学计算机学院获得学士学位；2003年合肥工业大学计算机学院获得硕士学位；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。 学术成果 程凡，博士，安徽大学计算机科学与技术学院副教授、硕士生导师。安徽大学青年骨干教师象。在IEEE TEVC、IEEE SMC、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10篇以上。主持或参与完成多项国家级省部级项目，现主持安徽省自然科学基金面上项目1项，教育部人文青年项目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。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 主持或参与完成多项国家级省部级项目，现主持的在研项目：1.教育部人文青年基金，大数据环境下基于排序学习的高精度检索模型研究(18YJC870004)。2.安徽省自然科学基金面上项目，大数据环境下的排序学习若干关键问题研究（1708085MF166）。

研究领域

人工智能 机器学习（搜索引擎优化） 进化多目标优化

近期论文

1.Fan Cheng*, Qiangqiang Zhang, Ye Tian*,Xingyi Zhang. Maximizing receiver operating characteristics convex hull via dynamic reference point-based multi-objective evolutionary algorithm[J].AppliedSoft Computing. 2020, 86: 1-12.(SCI期刊，中科院二区).2.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).[3]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).[4] 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).[5] 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).[6]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).[7]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).[8]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).[9] 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).[10]Lei Zhang, ShangshangYang, 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).[11] 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).[12] Jianfeng Qiu, Minghui Liu, Fan Cheng*. A Multi-Level Knee Point based Multi-Objective EvolutionaryAlgorithm for AUC Maximization[J]. Memetic Computing, 2019, 11(3): 285-296.. (SCI期刊，中科院三区，通讯作者).[13] 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)[14] 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).[15] 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).[16] 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).[17] 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).[18] 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).[19] 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).[20] 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).[21] 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).[22] 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)[23] 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)[24] 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)[25] 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)[26]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.