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：