Basic information
基本信息
教師姓名/name：閔帆/Fan Min
職稱職務/position：博導，教授/Professor
電子郵箱/email：[email protected]; [email protected]
研究方向/research direction：機器學習/ Machine learning，含：代價敏感學習/cost-sensitive learning，粒計算/granular computing，推薦系統/Recommender systems，主動學習/active learning，多標簽學習/multi-label learning，地震數據深度學習方法/Seismic data deep learning
Academic information
其他信息
教育背景（Education）
于1995年在重慶師范學院數學系獲理學學士，2000、2003年在電子科技大學計算機科學與工程學院獲碩士、博士學位。2008年至美國佛蒙特大學公派訪問一年。
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.
研究項目（Projects）
國家自然科學基金面上項目NSFC 61379089“代價敏感學習的粗糙集方法”/National Natural Science Foundation of China, Grant No. 61379089 “Rough sets approaches to cost-sensitive learning”
學術兼職（academic services）
SCI 期刊 International Journal of Approximate Reasoning 副主編；
中國人工智能學會粒計算與知識發現專業委員會常務委員；
四川省人工智能學會理事。
獲獎情況（Awards）
首屆西南石油大學研究生導師“伯樂獎”（2022年）
講授課程（Courses）
數據結構（本科生）Data structure (undergraduate students)
機器學習（本科生）Machine learning (undergraduate students)
高級數據挖掘（研究生）Advanced data mining (graduate students)
論文寫作（研究生）Scientific paper writing
論文及專著發表（Selected Publications）
公開發表國際期刊及會議論文200余篇，部分列表如下（星號表示通訊作者），更新的列表見http://fansmale.com/publications.html。
其中：[1-6]為國際頂刊，[7]為國際頂會，[8]為國內頂刊，[9] 為ESI熱點，[10-17]為ESI高被引，[18-36]為一區，[37-40]為中國計算機學會推薦的C類會議，[41-68]為SCI收錄期刊（非開源收費）。論文總被引3700余次，入選美國斯坦福大學（Stanford University）發布的2022年度“全球前2%頂尖科學家榜單”(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, 楊國緯, 周明天, 分布式系統中任務分配的一種結點自適應算法, 計算機學報. 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*, Shi?Ming 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.
