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程凡


发表日期:2021-03-02 供稿:

十博研究生导师简介

院(系、所):十博

姓名:程凡

性别:

出生年月:  19793


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年起在十博计算机学院担任副教授、硕士生导师。

2020年起在十博计算机学院担任教授、博士生导师。

学术成果

程凡,博士,十博十博教授、博士生导师。十博青年骨干教师。在ACM/IEEE ToNet (CCF A)、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)

[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).

[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).

[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   Science10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 Science8,16,4317-4327,2013.   (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40,4,57-64,2012.    (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

十博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(1708085MF166),2021.012024.12。

(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),2018.072021.06。

 






 


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