北京交通大學計算機與信息技術學院研究生導師：賈彩燕

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個人履歷

賈彩燕，博士，教授，博士生導師，交通數(shù)據(jù)分析與挖掘北京市重點實驗室副主任，中國人工智能學會《粗糙集與軟計算專業(yè)委員會》委員。2004年于中國科學院計算技術研究所獲得計算機軟件與理論專業(yè)博士學位，師從中國科學院院士陸汝鈐研究員;2004年至2007年在復旦大學上海市智能信息處理實驗室做博士后研究;2007年7月就職于北京交通大學計算機與信息技術學院，加入機器學習與數(shù)據(jù)挖掘研究團隊。主要研究方向為：數(shù)據(jù)挖掘、社會計算、文本挖掘及生物信息學等。目前已在國際國內(nèi)學術期刊和國際會議上發(fā)表論文50余篇。近年來主持國家自然科學基金面上項目兩項，主持國家自然科學基金青年基金面上項目一項;參加國家自然科學基金重點項目一項，參加國家科技重大專項一項，參加北京市自然科學基金一項;獲得湖南省科學技術進步二等獎一項，碩士論文獲得湖南省百篇優(yōu)秀碩士論文獎。

郵 箱：cyjia@bjtu.edu.cn

研究方向

主要研究方向機器學習、社會計算等。具體包括：社交短文本分析、基于深度學習的圖像視頻理解(如OCR及圖像分類、語義標注等)、基于深度學習的自動問答、基于社交關系的推薦、網(wǎng)絡社區(qū)發(fā)現(xiàn)等。

發(fā)表論文和著作

代表性論文：

近年來期刊論文：

[1] Zhineng Chen, Shanshan Ai, Caiyan Jia*, Structure-Aware Deep Learning for Product Image Classification, ACMTOMM, 2019. (SCI:2.019)

[2] Yafang Li, Caiyan Jia*, Xiangnan Kong, Liu Yang, and Jian Yu, Locally weighted fusion of structural and attribute information in graph clustering, IEEE trans. On Cybernetics, 2019. (SCI: 8.803)

[3] Yafang Li, Caiyan Jia*, Jianqiang Li, Xiaoyang Wang, Jian Yu, Enhanced semi-supervised community detection with action node and link selection. Physica A: Statistical Mechanics and its Applications, 2018, 510:219-232. (SCI:2.132)

[4] Zhenhai Chang, Xianjun Yin*, Caiyan Jia*, Xiaoyang Wang, Mixture models with entropy regularization for community detection in networks, Physica A: Statistical Mechanics and its Applications, 496：339-350, 2018. (SCI:2.132)

[5] Caiyan Jia, Matthew B. Carson, Xiaoyang Wang, Jian Yu, Concept Decompositions for Short Text Clustering by Identifying Word Communities, Pattern Recognition, Volume 76, pp. 691-703, April, 2018. (SCI:3.962)

[6] Caiyan Jia, Yanfang Li, Matthew B. Carson, Xiaoyang Wang, Jian Yu, Node Attribute-enhanced Community Detection in Complex Networks, Scientific Reports, 7:2626, Doi: 10.1038/s41598-017-02751-8, 2017. (SCI:4.122)

[7] Yafang Li， Caiyan Jia*, Jian Yu, A Parameter-free Community Detection Method Based on Centrality and Dispersion of Nodes in Complex Networks, Physica A: Statistical Mechanics and its Applications, 438: 454-468, 2015

[8] Baifang Chai, Caiyan Jia*, Jian Yu, An Online Expectation Maximiza[tion Algorithm for Exploring General Structure in Massive Networks, Physica A: Statistical Mechanics and its Applications, 438: 454-468, 2015

[9] Caiyan Jia*, M.B. Carson, Yang Wang et al., A New Exhaustive Method and Strategy for Finding Motifs in ChIP-enriched Regions, PLOS ONE, 9(1): e86044, 2014 (SCI, IF: 3.73)

[10] Caiyan Jia*, M.B. Carson, Jian Yu, A Fast Weak Motif Finding Algorithm Based on Community Detection in Graphs, BMC Bioinformatics, 14(227), pp. 1471-2150, 2013 (SCI, IF: 3.02)

[11] Bianfang Chai, Jian Yu*, Caiyan Jia*, et al., Combining a Polularity-productivity Stochastic Block with a Discriminative Content Model for Detecting General Structures. Physical Review E, 88(1):012807, , 2013 (SCI, IF: 2.313)

[12] Yanwen Jiang, Caiyan Jia*, Jian Yu, An Efficient Community Detection Algorithm by Greedy Surprise Maximization, Journal of Physics A: Mathematical and Theoretical, in press. (SCI, IF: 1.766)

[13] Yawen Jiang, Caiyan Jia*, Jian Yu, An Efficient Community Detection Method Based on Rank Centrality, Physica A: Statistical Mechanics and its Applications, doi:10.1016/j.physa.2012.12.013, 2013 (SCI, IF: 1.676)

[14] Caiyan Jia*, Ruqian Lu, Lusheng Chen, A Frequent Pattern Mining Method for Finding (l, d) Planted Motifs of Unknown Length in DNA sequences, International Journal of Computational Intelligence Systems, 4(5), pp. 1032-1041, 2011 (SCI, IF: 0.31)

[15] Zhipeng Hu*, Lusheng Chen, Caiyan Jia, Huanzhang Zhu, Wei Wang, Jiang Zhong, Screening of Potential Pseudo att Sites of Streptomyces Phage ΦC31 Integrase in the Human Genome. Acta Pharmacologica Sinica. 2013, 34(4), pp. 561-569, 2013 (SCI, IF: 2.354)

[16] 張雪松，賈彩燕，一種基于頻繁詞集表示的新文本聚類方法，計算機研究與發(fā)展，2108，55(1)：102-112.

[17]李偉，賈彩燕，基于詞共現(xiàn)網(wǎng)絡的微博話題發(fā)珊方法，數(shù)字采集與處理，2018，第33(1)：186-194.

[18]劉璐，賈彩燕，基于文本擴展模型的網(wǎng)絡視頻聚類方法，智能系統(tǒng)學報，2017(6)：779-805.

[19]柴變芳, 賈彩燕, 于劍，基于概率模型的大規(guī)模網(wǎng)絡結構發(fā)現(xiàn)方法，軟件學報，第25卷，第12期，2753-2766頁，2014.

[20]李亞芳，賈彩燕，于劍，一種新的社區(qū)/動態(tài)社區(qū)優(yōu)化方法，數(shù)字采集與處理，第30卷，第6期，1215-1224頁，2015.

[21]李亞芳，賈彩燕，于劍，應用非負矩陣分解模型的社區(qū)發(fā)現(xiàn)方法綜述，計算機科學與探索，第10卷，第一期，1-13頁,2016.

[22]溫有福，賈彩燕，一種多模態(tài)融合的網(wǎng)絡視頻相關性度量方法，CCDM16，智能系統(tǒng)學報，2016, 11(3): 359-365.

[23]劉志雄，賈彩燕，面向用戶興趣與社區(qū)關系的微博話題檢測方法，CCDM16，智能系統(tǒng)學報，2016, 11(3): 294-300.

[24]柴變芳, 于劍, 賈彩燕, 一種基于隨機塊模型的快速廣義社區(qū)發(fā)現(xiàn)算法, 軟件學報，第24卷，第11期，2699-2709頁，2013

[25]姜雅文，賈彩燕，于劍，基于類原型的復雜網(wǎng)絡重疊社區(qū)發(fā)現(xiàn)方法，模式識別與人工智能，第26卷，第7期，648-659頁，2013

[26]柴變芳，趙曉鵬，賈彩燕，于劍，內(nèi)容網(wǎng)絡廣義社區(qū)發(fā)現(xiàn)有效算法，計算機科學與探索，2014 ，8 (9): 1076-1084

[27]柴變芳，趙曉鵬，賈彩燕，于劍，大規(guī)模網(wǎng)絡的三角形模體社區(qū)發(fā)現(xiàn)模型，南京大學學報，2014，50(4)：466-473

[28]柴變芳，于劍，賈彩燕*，融合內(nèi)容和鏈接的網(wǎng)絡結構發(fā)現(xiàn)概率模型綜述，小型微型計算機系統(tǒng), 第34卷，第11期，2524-2528頁，2013

[29]程飛，賈彩燕*，于劍，一種基于用戶相似性的協(xié)同過濾推薦算法，計算機工程與科學，第35卷，第5期，161-165頁，2013

[30] 康旭彬，賈彩燕*，一種改進的標簽傳播快速社區(qū)發(fā)現(xiàn)方法，合肥工業(yè)大學學報，第1期，43-47頁，2013

近年來會議論文

[1] Chunyang Li, Caiyan Jia*, Zhineng Chen, Xiaoyan Gu and Hongyun Bao, psDirector: An Automatic Director for Watching View Generation from Panoramic Soccer Video, 25th International Conference on MultiMedia Modeling, Thessaloniki, Greece, Jan. 8-11, 2019

[2] Yafang Li, Xiangnan Kong, Caiyan Jia*, Janqian Li, Clustering Uncertain Graphs with Node attributes, Proceedings of machine learning research 95: 232-247, 2018, ACML 2018

[3] Sinan Zhu, Caiyan Jia, General Structure Preserving Network Embedding, 19th International Conference on Intelligent Data Engineering and Automated Learning – IDEAL 2018, Madrid, Spain, November 21–23, 2018, LNCS, volume 11314, pp 134-146

[4] Cuncun Shi, Caiyan Jia*, Zhineng Chen, FFDet: a Fully Convolutional Network for Coral Reef Fish Detection by Layer Fusion, IEEE International Conference on Visual Communications and Image Processing (VCIP 2018), Taichung, Taiwan, Dec. 9-12, 2018

[5] Yafang Li, Xiangnan Kong, Jianqiang Li, Caiyan Jia, Clustering uncertain graphs with node attributes, The 10th Asian conference on Machine learning, Beijing, Nov.11-14, 2018.

[6] Sinan Zhu, Caiyan Jia, General structure preserving network embedding, The 19th International Conference on Intelligent Data Engineering and Automated Learning, Nov. 21-23, 2018.

[7] Shanshan Ai, Caiyan Jia*, Zhenneng Chen, Large-Scale Product Classification via Spatial Attention based CNN Learning and Multi-Class Regression, MMM2017, 2017

[8] Yaoyao Qi, Caiyan Jia* Yafang Li, Community Detection Using Nonnegative Matrix Factorization with Orthogonal Constraint, Proceedings of the 8th internation conference on Anvanced Computational Intelligence, Chiang Mai, Thailand, Feb 14-16, 2016.

代表性著作：

科研項目及獲獎情況

科研項目：

近年三年科研項目

1. 2019.1～2022.12，國家自然科學基金面上項目，批準號：61876016，主持，項目名稱：動態(tài)屬性圖隨機塊模型及其應用

2. 2017.1～2021.12，國家自然科學基金重點項目，批準號：61632004，參加，項目名稱：面向認知的多源學習理論和算法

3. 2017.1～2019.12，中央高校基本科研業(yè)務費專項資金，批準號，2017JBM023，主持，項目名稱：屬性圖聚類若干關鍵問題研究

4. 2015.1～2018.12，國家自然科學基金面上項目，批準號：61473030，主持，項目名稱：節(jié)點內(nèi)容和鏈接相結合的大規(guī)模內(nèi)容網(wǎng)絡社區(qū)發(fā)現(xiàn)方法及應用研究

5. 2014.1～2015.12，數(shù)字出版國家重點實驗室專項課題，主持，項目名稱：學術論文的個性化推薦

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獲獎情況：

在學習和工作期間，曾獲多項獎項。主要包括：

湖南省百篇優(yōu)秀碩士論文獎(2003年)

湖南省科學技術進步二等獎(2006)

北京交通大學紅果園雙百人才D類計劃(2011)