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【博导】闵帆

理学院   2017-03-31  访问:

Basic information

基本信息

教师姓名/name:闵帆/Fan Min

职称职务/position:博导,教授/Professor

电子邮箱/emailminfan@swpu.edu.cn; minfanphd@163.com

研究方向/research direction:机器学习/ Machine learning,含:代价敏感学习/cost-sensitive learning,粒计算/granular computing,推荐系统/Recommender systems,主动学习/active learning,多标签学习/multi-label learning,地震数据深度学习方法/Seismic data deep learning

 Academic information

 其他信息

 教育背景(Education

 1995年在重庆师范学院数学系获理学学士,20002003年在电子科技大学计算机科学与工程学院获硕士、博士学位。2008年至美国佛蒙特大学公派访问一年。

 FAN MIN received the M.S. and Ph.D. degrees from the School of Computer Science and Engineering, University of Electronics Science and Technology of China, Chengdu, China, in 2000 and 2003, respectively. He visited the University of Vermont from 2008 to 2009.

 

研究项目(Projects

国家自然科学基金面上项目NSFC 61379089“代价敏感学习的粗糙集方法”/National Natural Science Foundation of China, Grant No. 61379089 “Rough sets approaches to cost-sensitive learning”

 

学术兼职(academic services

SCI 期刊 International Journal of Approximate Reasoning 副主编;

中国人工智能学会粒计算与知识发现专业委员会常务委员;

四川省人工智能学会理事。

 

获奖情况(Awards

首届西南石油大学研究生导师“伯乐奖”(2022年)

 

讲授课程(Courses

数据结构(本科生)Data structure (undergraduate students)

机器学习(本科生)Machine learning (undergraduate students)

 

高级数据挖掘(研究生)Advanced data mining (graduate students)

论文写作(研究生)Scientific paper writing

 

论文及专著发表(Selected Publications

公开发表国际期刊及会议论文200余篇,部分列表如下(星号表示通讯作者),更新的列表见http://fansmale.com/publications.html

其中:[1-6]为国际顶刊,[7]为国际顶会,[8]为国内顶刊,[9] ESI热点,[10-17]ESI高被引,[18-36]为一区,[37-40]为中国计算机学会推荐的C类会议,[41-68]SCI收录期刊(非开源收费)。论文总被引3700余次,入选美国斯坦福大学(Stanford University)发布的2022年度全球前2%顶尖科学家榜单”(World's Top 2% Scientists 2022)

[1] Fan Min*, Linrong Wang, Shunlin Pan, Guojie Song. D2UNet: Dual Decoder U-Net for Seismic Image Super-Resolution Reconstruction. IEEE Transactions on Geoscience and Remote Sensing. 61(2023)1–13.

[2] Mei Yang, Yu-Xuan Zhang, Xizhao Wang, Fan Min*. Multi-Instance Ensemble Learning with Discriminative Bags. IEEE Transactions on Systems Man Cybernetics-Systems. (2022-09) 5456-5467.

[3] Min Wang, Chunyu Yang, Fei Zhao, Fan Min*, Xizhao Wang. Cost-Sensitive Active Learning for Incomplete Data. IEEE Transactions on Systems Man Cybernetics-Systems.  (2022-06) 1-12.

[4] Min Wang, Peng Zhao, Xin Lu, Fan Min, Xizhao Wang. Fine-Grained Visual Categorization: A Spatial–Frequency Feature Fusion Perspective. IEEE Transactions on Circuits and Systems for Video Technology.  (2022).

[5] Kun Qian, Xue-Yang Min, Yusheng Cheng, Fan Min.  Weight matrix sharing for multi-label learning. Pattern Recognition. 136 (2023) 109156.

[6] Heng-Ru Zhang, Ying Qiu, Ke-Lin Zhu, Fan Min. Lower bound estimation of recommendation error through user uncertainty modeling. Pattern Recognition.  136 (2023) 109171.

[7] Yunan Lu, Liang He, Fan Min, Weiwei Li, Xiuyi Jia.  Generative label enhancement with Gaussian mixture and partial ranking. AAAI. (2023).

[8] Fan Min*, 石兵, 杨国纬, 周明天, 分布式系统中任务分配的一种结点自适应算法, 计算机学报. 26 (3) (2003) 302–309.

[9] Fan Min*, Zhi-Heng Zhang, Wen-Jie Zhai, Rong-Ping Shen. Frequent pattern discovery with tri-partition alphabets. Information Sciences. (2020-01) 715-732.

[10]     Zhi-Heng Zhang, Fan Min*, Gong-Suo Chen, Shao-Peng Shen, Zuo-Cheng Wen, Xiang-Bing Zhou. Tri-partition state alphabet-based sequential pattern for multivariate time series. Cognitive Computation. (2021-05).

[11]     Fan Min*, Fu-Lun Liu, Liu-Ying Wen, Zhi-Heng Zhang, Tri-partition cost-sensitive active learning through kNN. Soft Computing. (2019-03) 1557–1572.

[12]     Heng-Ru Zhang, Fan Min *, Bing Shi, Regression-based three-way recommendation, Information Sciences 378 (2017) 444–461.

[13]     Heng-Ru Zhang, Fan Min *, Three-way recommender systems based on random forests, Knowledge-Based Systems 91 (2016) 275–286.

[14]     Fan Min *, Qing-Hua Hu, William Zhu, Feature selection with test cost constraint, International Journal of Approximate Reasoning 55 (1) (2014) 167–179.

[15]     Fan Min*, William Zhu, Attribute reduction of data with error ranges and test costs, Information Sciences 211 (2012) 48–67.

[16]     Fan Min*, Hua-Ping He, Yu-Hua Qian, William Zhu, Test-cost-sensitive attribute reduction, Information Sciences 181 (2011) 4928–4942.

[17]     Fan Min*, Qi-He Liu, A hierarchical model for test-cost-sensitive decision systems, Information Sciences 179 (2009) 2442–2452.

[18]     Fan Min*, Linrong Wang, Shulin Pan, Guojie Song. Fast convex set projection with deep prior for seismic interpolation. Expert Systems with Applications. 213 (2023) 119256.

[19]     Gui-Lin Li, Heng-Ru Zhang*, Fan Min, Yu-Nan Lu. Two-stage label distribution learning with label-independent prediction based on label-specific features. Knowledge-Based Systems. (2023)110426.

[20]     Xing-Yi Zhang, Fan Min*, Guojie Song, Hong Yu. LSTC: When label-specific features meet third-order label correlations. Information Sciences. 632, (2023) 617-636.

[21]     Xue-Yang Min, Kun Qian, Ben-Wen Zhang, Guojie Song, Fan Min*. Multi-label active learning through serial–parallel neural networks. Knowledge-Based Systems. (2022-09) 109226.

[22]     Yu Fang, Xue-Mei Cao, Xin Wang, Fan Min*. Three-way sampling for rapid attribute reduction. Information Sciences. (2022-7).

[23]     Shimin Wang, Xinzheng Niu, Philippe Fournier-Viger, Dongmei Zhou, Fan Min. A graph-based approach for mining significant places in trajectory data. Information Sciences.  (2022-07).

[24]     Heng-Ru Zhang, Jie Qian, Hui-Lin Qu, Fan Min*. A Mixture-of-Gaussians model for estimating the magic barrier of the recommender system. Applied Soft Computing.  (2022-01)108-162.

[25]     Yusheng Cheng, Kun Qian, Fan Min. Global and local attention-based multi-label learning with missing labels. Information Sciences. (2022-05)20-42.

[26]     Shu-Hui Cheng, You-Xi Wu, Yan Li, Fang Yao, Fan Min. TWD-SFNN: Three-way decisions with a single hidden layer feedforward neural network. Information Sciences. (2021)15-32.

[27]     Min Wang, Hong-Tian Yu, Fan Min*. Noise label learning through label confidence statistical inference. Knowledge-Based Systems. (2021) 107-234.

[28]     Lei Gao, Hao-Kun Jiang, Fan Min*. Stable first-arrival picking through adaptive threshold determination and spatial constraint clustering. Expert Systems with Applications.  (2021-11)115-216.

[29]     Min Wang, Ke Fu, Fan Min*, Xiuyi Jia. Active learning through label error statistical methods. Knowledge-Based Systems. 185 (2020-10) 105140.

[30]     Min Wang, Yao Lin, Fan Min*, Dun Liu. Cost-sensitive active learning through statistical methods. Information Sciences. (2019) 460-482.

[31]     Fu-Lun Liu, Ben-Wen Zhang, Davide Ciucci, Wei-Zhi Wu, Fan Min*, A comparison study of similarity measures for covering-based neighborhood classifiers. Information Sciences. 448 (2018) 1–17.

[32]     Rong-Ping Shen, Heng-Ru Zhang, Hong Yu, Fan Min*. Sentiment based matrix factorization with reliability for recommendation. Expert Systems with Applications. (2019) 249-258.

[33]     Min Wang, Fan Min*, Yan-Xue Wu, Zhi-Heng Zhang, Active learning through density clustering, Expert Systems with Applications 85 (2017) 305–317.

[34]     Shi-Ping Wang, William Zhu, Qing-Xin Zhu, Fan Min, Characteristic matrix of covering and its application to Boolean matrix decomposition, Information Sciences 263 (2014) 186–197.

[35]     Shi-Ping Wang, Qing-Xin Zhu, William Zhu, Fan Min, Quantitative analysis for covering-based rough set through the upper approximation number, Information Sciences 220 (20) (2013) 483–491.

[36]     Shi-Ping Wang, Qing-Xin Zhu, William Zhu, Fan Min, Matroidal structure of rough sets and its characterization to attribute reduction, Knowledge-Based Systems 36 (2012) 155–161.

[37]     Fan Min*, Yu Li, Li-Yan Liu. Self-paced Safe Co-training for Regression. Pacific-Asia Conference on Knowledge Discovery and Data Mining. (2022-05)71-82.

[38]     Yu Fang, Xue-Mei Cao, Xin Wang, Fan Min*. Hypersphere Neighborhood Rough Set for Rapid Attribute Reduction. Pacific-Asia Conference on Knowledge Discovery and Data Mining. (2022-05)161-173.

[39]     Mei Yang, Yu-Xuan Zhang, Mao Ye, Fan Min*. Attention-to-Embedding Framework for Multi-instance Learning. Pacific-Asia Conference on Knowledge Discovery and Data Mining.  (2022-05)109-121.

[40]     Mei Yang, Wen-Xi Zeng, Fan Min*. Multi-instance Embedding Learning Through High-level Instance Selection. Pacific-Asia Conference on Knowledge Discovery and Data Mining. (2022-05)122-133.

[41]     Hongyuan Li, Hong Yu, Fan Min, Dun Liu, Huaxiong Li. Incremental sequential three-way decision based on continual learning network. International Journal of Machine Learning and Cybernetics.  (2022-06)1633-1645.

[42]     Yuan-Yuan Xu, Shen-Ming Gu, Hua-Xiong Li, Fan Min*, A hybrid approach to three-way conversational recommendation, Soft Computing (2022)

[43]     Chao-Fan Pan, Xue-Yang Min, Heng-Ru Zhang, Guojie Song, Fan Min*, Behavior imitation of individual board game players, Artificial Intelligence (2022)

[44]     Zhong-Hui Liu, Qi Zhao, Lu Zou, Wei-Hua Xu, Fan Min*. A heuristic concept construction approach to collaborative recommendation. International Journal of Approximate Reasoning. (2022-07)119-132.

[45]     Yuan-Yuan Xu, Shen-Ming Gu, Fan Min*. Improving recommendation quality through outlier removal. International Journal of Machine Learning and Cybernetics. 13 (2022) 1819–1832.

[46]     Min Wang, Ting-Ting Feng, Zhao-Hui Shan, Fan Min*. Attribute and label distribution driven multi-label active learning. Applied Intelligence. (2022-01)1-16.

[47]     Lei Gao, Dang Liu, Guan-Feng Luo, Guojie Song, Fan Min*. First-arrival picking through fuzzy c-means and robust locally weighted regression. Acta Geophysica. (2021).

[48]     Lei Gao, Hao-Kun Jiang, Fan Min*. Automatic first-arrival picking through convolution kernel construction and particle swarm optimization. Computers and Geosciences.  (2021) 104859.

[49]     Liu-Ying Weng, Chao-Guang Luo, Wei-Zhi Wu, Fan Min*. Multi-label symbolic value partitioning through random walks. Neurocomputing. (2020-04)195-209.

[50]     Fan Min*, ShiMing Zhang, Davide Ciucci, Min Wang. Three-way active learning through clustering selection. International Journal of Machine Learning and Cybernetics.  (2020-03)1033–1046.

[51]     Min Wang, Ying-Yi Zhang, Fan Min*, Li-Ping Deng, Lei Gao. A two-stage density clustering algorithm. Soft Computing. (2020-05).

[52]     Xiuyi Jia, Zhao Deng, Fan Min*, Dun Liu. Three-way decisions based feature fusion for Chinese irony detection. International Journal of Approximate Reasoning. (2019-10) V113 324-335.

[53]     Heng-Ru Zhang, Fan Min*, Zhi-Heng Zhang, Song Wang, Efficient collaborative filtering recommendations with multi-channel feature vectors. International Journal of Machine Learning & Cybernetics. (2019) 1165–1172.

[54]     Yan-Xue Wu, Xue-Yang Min, Fan Min*, Min Wang. Cost-sensitive active learning with a label uniform distribution model. International Journal of Approximate Reasoning.  (2019-02) 49-65.

[55]     Yu Fang, Fan Min*. Cost-sensitive approximate attribute reduction with three-way decisions. International Journal of Approximate Reasoning. (2019-01)148-165.

[56]     Heng-Ru Zhang, Fan Min*, Yan-Xue Wu, Zhuo-Lin Fu, Lei Gao. Magic barrier estimation models for recommended systems under normal distribution. Applied Intelligence.  (2018-12) 4678-4693.

[57]     Fan Min*, Zhi-heng Zhang, Dong Ji, Ant colony optimization with partial-complete searching for attribute reduction. Journal of Computational Science. (2018-03) 170-182.

[58]     Liu-Ying Wen, Fan Min*, Shi-Yuan Wang, A two-stage discretization algorithm based on information entropy, Applied Intelligence 47 (2017) 1169–1185.

[59]     Yu Fang, Zhong-Hui Liu, Fan Min*, A PSO algorithm for multi-objective cost-sensitive attribute reduction on numeric data with error ranges, Soft Computing (2016) 1–17.

[60]     Liu-Ying Wen, Fan Min*,  A granular computing approach to symbolic value partitioning, Fundamenta Informaticae 142 (1–4) (2015) 337–371.

[61]     Ben-Wen Zhang, Fan Min*, Davide Ciucci, Representative-based classification through covering-based neighborhood rough sets, Applied Intelligence 43 (2015) 840–854.

[62]     Yao Li, Zhi-Heng Zhang, Wen-Bin Chen, Fan Min*, TDUP: an approach to incremental mining of frequent itemsets with three-way-decision pattern updating, International Journal of Machine Learning & Cybernetics 8 (2017) 441–453.

[63]     Jin-Ling Cai, William Zhu, Hai-Jun Ding, Fan Min*, An improved artificial bee colony algorithm for minimal time cost reduction, International Journal of Machine Learning & Cybernetics 5 (2014) 743–752.

[64]     Xu He, Fan Min*, William Zhu, Comparison of discretization approaches for granular association rule mining, Canadian Journal of Electrical and Computer Engineering 37 (3) (2014) 157–167.

[65]     Yu Fang, Zhong-Hui Liu, Fan Min*, Multi-objective cost-sensitive attribute reduction on data with error ranges, International Journal of Machine Learning and Cybernetics 7 (2016) 783–793.

[66]     Shi-Ping Wang, William Zhu, Qing-Xin Zhu, Fan Min*, Four matroidal structures of covering and their relationships with rough sets, International Journal of Approximate Reasoning 54 (2013) 1361–1372.

[67]     Jian-Guo Tang, Kun She, Fan Min*, William Zhu, A matroidal approach to rough set theory, Theoretical Computer Science 471 (2013) 1–11.

[68]     Fan Min*, Qi-He Liu, Chun-Lan Fang, Rough sets approach to symbolic value partition, International Journal of Approximate Reasoning 49 (3) (2008) 689–700.

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