北京交通大學(xué)

個(gè)人履歷

賈彩燕，博士，教授，博士生導(dǎo)師，交通數(shù)據(jù)分析與挖掘北京市重點(diǎn)實(shí)驗(yàn)室副主任，中國(guó)人工智能學(xué)會(huì)《粗糙集與軟計(jì)算專業(yè)委員會(huì)》委員。2004年于中國(guó)科學(xué)院計(jì)算技術(shù)研究所獲得計(jì)算機(jī)軟件與理論專業(yè)博士學(xué)位，師從中國(guó)科學(xué)院院士陸汝鈐研究員;2004年至2007年在復(fù)旦大學(xué)上海市智能信息處理實(shí)驗(yàn)室做博士后研究;2007年7月就職于北京交通大學(xué)計(jì)算機(jī)與信息技術(shù)學(xué)院，加入機(jī)器學(xué)習(xí)與數(shù)據(jù)挖掘研究團(tuán)隊(duì)。主要研究方向?yàn)椋簲?shù)據(jù)挖掘、社會(huì)計(jì)算、文本挖掘及生物信息學(xué)等。目前已在國(guó)際國(guó)內(nèi)學(xué)術(shù)期刊和國(guó)際會(huì)議上發(fā)表論文50余篇。近年來(lái)主持國(guó)家自然科學(xué)基金面上項(xiàng)目?jī)身?xiàng)，主持國(guó)家自然科學(xué)基金青年基金面上項(xiàng)目一項(xiàng);參加國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目一項(xiàng)，參加國(guó)家科技重大專項(xiàng)一項(xiàng)，參加北京市自然科學(xué)基金一項(xiàng);獲得湖南省科學(xué)技術(shù)進(jìn)步二等獎(jiǎng)一項(xiàng)，碩士論文獲得湖南省百篇優(yōu)秀碩士論文獎(jiǎng)。

郵 箱：cyjia@bjtu.edu.cn

研究方向

主要研究方向機(jī)器學(xué)習(xí)、社會(huì)計(jì)算等。具體包括：社交短文本分析、基于深度學(xué)習(xí)的圖像視頻理解(如OCR及圖像分類、語(yǔ)義標(biāo)注等)、基于深度學(xué)習(xí)的自動(dòng)問(wèn)答、基于社交關(guān)系的推薦、網(wǎng)絡(luò)社區(qū)發(fā)現(xiàn)等。

發(fā)表論文和著作

代表性論文：

近年來(lái)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(jì)算機(jī)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(luò)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(kuò)展模型的網(wǎng)絡(luò)視頻聚類方法，智能系統(tǒng)學(xué)報(bào)，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(luò)結(jié)構(gòu)發(fā)現(xiàn)方法，軟件學(xué)報(bào)，第25卷，第12期，2753-2766頁(yè)，2014.

[20]李亞芳，賈彩燕，于劍，一種新的社區(qū)/動(dòng)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(yè)，2015.

[21]李亞芳，賈彩燕，于劍，應(yīng)用非負(fù)矩陣分解模型的社區(qū)發(fā)現(xiàn)方法綜述，計(jì)算機(jī)科學(xué)與探索，第10卷，第一期，1-13頁(yè),2016.

[22]溫有福，賈彩燕，一種多模態(tài)融合的網(wǎng)絡(luò)視頻相關(guān)性度量方法，CCDM16，智能系統(tǒng)學(xué)報(bào)，2016, 11(3): 359-365.

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

[24]柴變芳, 于劍, 賈彩燕, 一種基于隨機(jī)塊模型的快速?gòu)V義社區(qū)發(fā)現(xiàn)算法, 軟件學(xué)報(bào)，第24卷，第11期，2699-2709頁(yè)，2013

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

[26]柴變芳，趙曉鵬，賈彩燕，于劍，內(nèi)容網(wǎng)絡(luò)廣義社區(qū)發(fā)現(xiàn)有效算法，計(jì)算機(jī)科學(xué)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(luò)的三角形模體社區(qū)發(fā)現(xiàn)模型，南京大學(xué)學(xué)報(bào)，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(luò)結(jié)構(gòu)發(fā)現(xiàn)概率模型綜述，小型微型計(jì)算機(jī)系統(tǒng), 第34卷，第11期，2524-2528頁(yè)，2013

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

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

近年來(lái)會(huì)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(xiàng)目及獲獎(jiǎng)情況

科研項(xiàng)目：

近年三年科研項(xiàng)目

1. 2019.1～2022.12，國(guó)家自然科學(xué)基金面上項(xiàng)目，批準(zhǔn)號(hào)：61876016，主持，項(xiàng)目名稱：動(dòng)態(tài)屬性圖隨機(jī)塊模型及其應(yīng)用

2. 2017.1～2021.12，國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目，批準(zhǔn)號(hào)：61632004，參加，項(xiàng)目名稱：面向認(rèn)知的多源學(xué)習(xí)理論和算法

3. 2017.1～2019.12，中央高�；�本科研業(yè)務(wù)費(fèi)專項(xiàng)資金，批準(zhǔn)號(hào)，2017JBM023，主持，項(xiàng)目名稱：屬性圖聚類若干關(guān)鍵問(wèn)題研究

4. 2015.1～2018.12，國(guó)家自然科學(xué)基金面上項(xiàng)目，批準(zhǔn)號(hào)：61473030，主持，項(xiàng)目名稱：節(jié)點(diǎn)內(nèi)容和鏈接相結(jié)合的大規(guī)模內(nèi)容網(wǎng)絡(luò)社區(qū)發(fā)現(xiàn)方法及應(yīng)用研究

5. 2014.1～2015.12，數(shù)字出版國(guó)家重點(diǎn)實(shí)驗(yàn)室專項(xiàng)課題，主持，項(xiàng)目名稱：學(xué)術(shù)論文的個(gè)性化推薦

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獲獎(jiǎng)情況：

在學(xué)習(xí)和工作期間，曾獲多項(xiàng)獎(jiǎng)項(xiàng)。主要包括：

湖南省百篇優(yōu)秀碩士論文獎(jiǎng)(2003年)

湖南省科學(xué)技術(shù)進(jìn)步二等獎(jiǎng)(2006)

北京交通大學(xué)紅果園雙百人才D類計(jì)劃(2011)