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        北京交通大學

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        中國考研網 考研網 » 院校信息 » 北京交通大學 » 研究生導師介紹

        北京交通大學計算機與信息技術學院研究生導師:景麗萍

        分類:導師信息 來源:北京交通大學計算機與信息技術學院 2019-08-05 相關院校:北京交通大學

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        個人履歷

        姓名:景麗萍

        職 稱:教授

        學 位:博士

        郵 箱:lpjing@bjtu.edu.cn

        辦公電話:

        個人主頁:

        機器學習及應用

        1. 機器學習方法研究

        2. 矩陣分解、稀疏表示、概率模型

        3. 相關方法在高維數據分析中的應用研究,如文本挖掘、圖像分析、生物信息學、社會網絡等領域

        信息檢索與推薦

        1. 查詢關鍵詞擴展與結果重構

        2. 智能信息推薦

        文本挖掘

        1. 基于領域知識的文本數據表示模型構建

        2. 短文本分析

        3. 多源數據融合研究

        研究方向

        發表論文和著作

        代表性論文:

        Master Thesis:

        Liping Jing, Data Preprocessing in text mining, Northern Jiaotong University 03/2003.

        PHD Thesis:

        Liping Jing, Text subspace clustering with feature weighting and ontologies, The University of Hong Kong, 08/2007.

        Published referred papers:

        Liping Jing, K. Tian, and J.Z. Huang, Stratified feature sampling method for ensemble clustering of high dimensional data, Pattern Recognition, Accepted, 2015. DOI: 10.1016/j.patcog.2015.05.006

        Liping Jing, P. Wang and L. Yang, Sparse Probabilistic Matrix Factorization by Laplace Distribution for Collaborative Filtering, Proc. of IJCAI, Accepted, July 2015.

        Liping Jing, L. Yang, J. Yu and M. Ng, Semi-supervised low-rank mapping learning for multi-label classification, Proc. of CVPR, Accepted,June 2015.

        C. Zhang, Liping Jing and N. Xiu, A new active set method for nonnegative matrix factorization, SIAM Journal on Scientific Computing, 36(6):2633-2653, 2014.

        Liping Jing, and M. Ng, Sparse label-indicator optimization methods for image classification, IEEE Trans. on Image Processing, 23(3): 1002-1014, 2014.

        Liping Jing, D. Deng and J. Yu, Weighting exponent selection of fuzzy c-means via Jacobian matrix, Proc. of KSEM, Romania, Oct. 2014.

        L. Yang, Liping Jing, and J. Yu, Heterogeneous co-transfer spectral clustering, Proc. of RSKT, China, Oct. 2014.

        B. Liu, Liping Jing, and J. Yu, Constrained least squares regression for semi-supervised learning, Proc. of PAKDD, Taiwan, 110-121, May. 2014.

        C. Shen, M. Ng and Liping Jing, Sparse-MIML: A sparsity-based multi-instance multi-learning algorithm, Proc. of EMMCVPR, 2013.

        Q. Li, Liping Jing and J. Yu, Adaptive graph constrained NMF for semi-supervised learning, Proc. of PSL, 2013.

        Liping Jing, M. Ng and T. Zeng, Dictionary learning-based subspace structure identification in spectral clustering, IEEE Trans. on Neural Network and Learning Systems, 24(8):1188-1199, 2013 (SCI) , ISSN: 2162-237X.

        Y. Zhu, J. Yu, Liping Jing(corresponding author), A novel semi-supervised learning framework with simultaneous text representing, Knowledge and Information Systems, 34(3): 547-562, 2013 (SCI) ISSN: 0219-1377.

        L. Yang, J. Yu, and Liping Jing, An Adaptive Large Margin Nearest Neighbor Classification Algorithm, Journal of computer research and development, 50(11): 2269-2277, 2013 (一種自適應的大間隔近鄰分類算法, 計算機研究與發展).

        Liping Jing C. Zhang and M. Ng, SNMFCA: Supervised NMF-Based Image Classification and Annotation, IEEE Trans. on Image Processing, 22(11):4508-4521, 2012 (SCI) ISSN: 1057-7149

        J. Yun, Liping Jing, J. Yu and H. Huang, A multi-layer text classification framework based on two-level representation model, Expert system with applications, 39(2):2035-2046, 2012 (SCI) ISSN: 0957-4174

        Y. Zhu, Liping Jing, and J. Yu, An active labeling method for text data based on nearest neighbor and information entropy, Journal of computer research and development, 49(6):1306-1312, 2012 (一種利用近鄰和信息熵的主動文本標注方法,計算機研究與發展) (EI) ISSN:1000-1239

        Liping Jing, J. Yu, T. Zeng, and Y. Zhu, Semi-Supervised Clustering via Constrained Symmetric Non-Negative Matrix Factorization, Proc. of BI, 309-319, Dec. 2012. (EI /ISTP) ISBN 978-3-642-35138-9

        Y. Zhu, Liping Jing and J. Yu, Text clustering via constrained nonnegative matrix factorization, Proc. of ICDM, 1278-1283, Dec. 2011. (EI /ISTP) ISBN 978-0-7695-4408-3

        K. Tian and Liping Jing, Sparse representation-based gene selection for cancer prediction, Proc. of BMEI, 1801-1805, 2011. (EI /ISTP) ISBN 978-1-4577-1447-4

        J. Yun, Liping Jing, J. Yu, and H. Huang. Document Topic Extraction based on Wikipedia Category. Proceeding of the International Joint Conference on Computational Sciences and Optimization (CSO 2011), 852-856, 2011,4 (EI/ISTP) ISBN 978-0-7695-4335-2

        J.Yun, Liping Jing, H. Huang, and J. Yu. Multi-view LDA for Semantics-based Document Representation. Journal of Computational Information Systems. 7(12), 2011 (EI) ISSN:1553-9105

        Liping Jing and J. Yu, Text clustering based on Granular computing and Wikipedia, Proc. of RSKT, 679-688, 2011 (EI /ISTP) ISBN 978-3-642-24424-7

        J. Yu and Liping Jing, Least absolute deviation cut, Proc. of RSKT, 743-752, 2011 (EI /ISTP) ISBN 978-3-642-24424-7

        Liping Jing, Y. Zhu and J. Yu, Hierarchical Non-negative matrix factorization based text clustering, J. of Frontiers of computer science and technology, V5(10):904-913, 2011 (In Chinese) ISSN: 1673-9418

        Liping Jing, T. Zeng and M.K. Ng, On gene selection and classification for cancer micro data using multi-step clustering and sparse representation, Advances in adaptive data analysis,3(1):127-148, 2011. (EI) ISSN: 1793-5369

        Liping Jing, J. Yun, J. Yu and H. Huang, High-Order Co-Clustering Text data on Semantics-based Representation Model, Proc. of PAKDD, 171-182, 2011. (EI /ISTP) ISBN 978-3-642-20840-9

        J. Yun and Liping Jing, J. Yu and H. Huang, Unsupervised Feature Weighting based on Local Feature Relatedness, Proc. of PAKDD, 38-49, 2011. (EI /ISTP) ISBN 978-3-642-20840-9

        Liping Jing and M.K. Ng, Prior Knowledge Based Mining Functional Modules from Yeast PPI Networks with Gene Ontology, BMC Bioinformatics, 11, 2010. (SCI) ISSN 1471-2105

        Liping Jing, J. Yun, J. Yu and H. Huang, Text Clustering via Term Semantic Units, Proc. of IEEE/ACM WI-IAT, 417-420, Sep. 2010, Canada. (EI /ISTP) ISBN 978-0-7695-4191-4

        J. Yun and Liping Jing, Semantics-based representation model for multi-layer text classification, Proc. of KES, Part II, 1-10, 2010. (EI /ISTP) ISBN: 978-1-4244-8334-1

        Liping Jing, M.K.Ng and J.Z.Huang, Knowledge-based vector space model for text clustering, Knowledge and Information System, 25(1):35-55, 2010. (SCI)

        Liping Jing, M.K. Ng and Y. Liu, Construction of gene networks with hybrid approach from expression profile and gene ontology, IEEE Trans. on Information Technology in Biomedicine, 14(1): 107-118, 2010. (SCI)

        Liping Jing, M.K.Ng and T. Zeng, Novel hybrid method for gene selection and cancer prediction, Intl. Conf. on Computational and Systems Biology, 911-918, Penang, Malaysia, Feb.24-26, 2010. (EI )

        Liping Jing, J. Yun and J. Yu, Domain knowledge in text mining: opportunities and challenges, Computer Engineering and Science, 32(6): 88-91,2010 (In Chinese)

        Liping Jing and Y.K.Lau, Grannular computing for text mining: new research challenges and opportunities, Proc. of the 12th Intl. Conf. of RSFDGrC, India, Dec.16-18, pp.478-485, 2009. (EI, ISTP)

        Y. Zhu, Liping Jing, J. Yu, New labeling strategy for semi-supervised document categorization, Proc. of the 3rd Intl. Conf. of KSEM, Vienna, Austria, Nov.25-27, 134-145, 2009. (EI, ISTP)

        Liping Jing, J. Li, Y. Cheung, M.K. Ng and J.Z. Huang, SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters, International journal of data mining, modeling and management, 1(2):149-177, 2009.

        M. K. Ng and Liping Jing, A new fuzzy k-modes clustering algorithm for categorical data, International journal of granular computing, rough sets and intelligent systems, 1(1):105-119, 2009.

        K. Yip, L. Cheung, D. Cheung, Liping Jing and Michael K. Ng, A Semi-supervised Approach to Projected Clustering with Applications to Micro Data, International Journal of Data Mining and Bioinformatics (IJDMB), 3(3):229-259, 2009. (SCI)

        Liping Jing, Y. Liu and P. Bachman, Hybrid approach to inferring gene networks with expression profile and gene ontology, The international association science and technology for development, Computational biology and bioinformatics (IASTED CBB), full paper, Orland, FL, USA, Nov. 2008.

        Y. Liu, W. Li, Y. Lin and Liping Jing, Spectral Geometry for Simultaneously Clustering and Ranking Query Search Results, The 31st annual international ACM SIGIR conference, Singapore , Jul., 2008.

        Liping Jing, Michael K. Ng and Z. Huang, Soft subspace clustering for high-dimensional data, Chapter in Book: Encyclopedia of Data Warehouse and Mining, Publisher: information science reference, ISBN: 9781605660103, 2008. (Book Chapter)

        X. Zhang, Liping Jing, X. Hu, Michael K. Ng, J. Xia and X. Zhou, Medical document clustering using ontology-based term similarity measures, International Journal of data warehousing & mining (IJDWM), 4(1), 62-73, 2008. (SCI)

        Liping Jing, Mark J. Li, Michael K. Ng, Yiu-ming Cheung and Joshua Z. Huang, On subspace clustering with automatic selection of cluster numbers for micro data, IEEE 7th International conference on Bioinformatics & BioEngineering (BIBE), Boston, Massachusetts, USA, Oct.14-17, 2007. (PubMed)

        Liping Jing, Michael K. Ng, and Joshua Z. Huang, An entropy weighting k-means algorithm for subspace clustering of high-dimensional sparse data, IEEE transaction on knowledge and data engineering (TKDE), 19(8), 1026-1041, 2007. (SCI)

        X. Zhang, Liping Jing, X. Hu, Michael K. Ng, and X. Zhou, A comparative study of ontology based term similarity measures on PubMed document clustering, Database systems for advanced applications (DASFAA), 2007. (SCI)

        Joshua Z. Huang, Michael K. Ng, and Liping Jing, Text clustering: algorithms semantics and systems, Tutorial on the 10th Pacific-Asia conference on knowledge discovery and data mining (PAKDD), 2006. (Conference Tutorial)

        Liping Jing, Michael K. Ng, and Joshua Z. Huang, A text clustering system based on k-means type subspace clustering and ontology, International Journal of Intelligent Technology (IJIT), v1(2), 91-103, 2006. (EI)

        Liping Jing, L. Zhou, Michael K. Ng, and Joshua Z. Huang, Ontology-based distance measure for text clustering, the 6th SIAM International conference on data mining (SDM), 2006.

        X. Zhang, Joshua Z. Huang, D. Qian, J. Xu, and Liping Jing, Supplier categorization with k-means type subspace clustering, The 8th Asia Pacific web conference (APWeb), 2006. (SCI)

        Liping Jing, Michael K. Ng, J. Xu, and Joshua Z. Huang, On the performance of feature weighting k-means for text subspace clustering, The 6th International conference on web-age information management (WAIM), 502-512, 2005. (SCI)

        Liping Jing, Y. Gao, G. Wu, Jushua Z. Huang and J. Li, Feature weighting k-means algorithms for large-scale documents clustering, Journal of computer research and development, V42, 2005. (EI)

        Liping Jing, Joshua Z. Huang, Michael K. Ng, J. Xu, Subspace clustering of text documents with feature weighting k-means algorithm, The 9th Pacific-Asia conference on knowledge discovery and data mining (PAKDD), 802-812, 2005. (SCI)

        Liping Jing, Joshua Z. Huang, Michael K. Ng, and H. Rong, A feature weighting approach to building classification models by interactive clustering, Modeling decisions for artificial intelligence (MDAI), 284-294, 2004. (SCI)

        Liping Jing, H. Huang, and H. Shi, Improved feature selection approach TFIDF in text mining, The international conference on machine learning and cybernetics (ICMLC), v1-4, 944-946, 2002.(EI)

        H. Shi, Liping Jing, and H. Huang, Learning tree-augmented naive Bayesian network by reduced space requirements, The international conference on machine learning and cybernetics (ICMLC), v1-4, 1232-1236, 2002. (EI)

        H. Shi, Liping Jing, H. Huang, and Z. Wang, Text classification based on the TAN model, The 17th IEEE Region 10 international conference on computers, communications, control and power engineering (ICCCPE), v1, 43-46, 2002. (EI)

        代表性著作:

        科研項目及獲獎情況

        科研項目:

        國家青年自然科學基金面上項目 面向高維數據挖掘的非負矩陣分解關鍵問題研究 80萬 2014.1---2017.12 (主持)

        教育部博士點基金 融合文本信息的圖像語義理解關鍵技術研究 12萬 2013.1---2015.12 (主要承擔人)

        國家重點實驗室開放課題 高維數據聚類分析關鍵技術研究 2萬 2013.1---2014.12 (主持)

        北京交通大學基礎科研業務專項 圖像恢復與分類的優化模型和算法研究 46萬 2013.1---2014.12(子課題負責人)

        國家青年自然科學基金青年基金 文本語義模型與子空間聚類研究 19萬 2010.1---2012.12 (主持)

        教育部留學歸國啟動基金 查詢語義擴展與查詢結果重構技術研究 3.5萬 2010.9---2012.9 (主持)

        北京交通大學基礎科研業務項目 互聯網話題檢測追蹤技術研究 6萬 2011.1---2013.12 (主持)

        國家科技部國際合作項目 面向領域搜索的文本挖掘技術研究 60萬 2011.3--2013.3 (主要承擔人)

        獲獎情況:

        北京交通大學 破格晉升教授 2014

        北京交通大學 青年英才計劃 I類 2014-2017

        北京交通大學 優秀青年教師 握奇獎教金 2013

        北京交通大學 優秀研究性教學訓練載體 《離散數學》2012

        北京交通大學 紅果園雙百人才D類計劃 2010-2013

        北京交通大學 2010年青年教師教學基本功大賽三等獎

        北京交通大學 計算機學院 2009年度科研三等獎

        北京交通大學 計算機學院 2011年度論文獎

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