Liping Jing

According to our database1, Liping Jing authored at least 74 papers between 2004 and 2019.

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Bibliography

2019
Tensor-Based Low-Dimensional Representation Learning for Multi-View Clustering.
IEEE Trans. Image Processing, 2019

Sentiment Lexicon Construction With Hierarchical Supervision Topic Model.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2019

Sparse Self-Attention LSTM for Sentiment Lexicon Construction.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2019

Collaboration Matrix Factorization on Rate and Review for Recommendation.
J. Database Manag., 2019

Group Collaborative Representation for Image Set Classification.
International Journal of Computer Vision, 2019

Hyperbolic Interaction Model For Hierarchical Multi-Label Classification.
CoRR, 2019

Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification.
CoRR, 2019

Clustering ensemble based on sample's stability.
Artif. Intell., 2019

Deep generative ranking for personalized recommendation.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Informative Instance Detection for Active Learning on Imbalanced Data.
Proceedings of the International Joint Conference on Neural Networks, 2019

Unsupervised Deep Fusion Cross-modal Hashing.
Proceedings of the International Conference on Multimodal Interaction, 2019

In2Rec: Influence-based Interpretable Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Attention, Please! Adversarial Defense via Attention Rectification and Preservation.
CoRR, 2018

The Automatic Identification of Butterfly Species.
CoRR, 2018

Neural gaussian mixture model for review-based rating prediction.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Adaptive Ensemble Probabilistic Matrix Approximation for Recommendation.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

A Joint Multi-Task CNN for Cross-Age Face Recognition.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Partial Multi-view Clustering via Auto-Weighting Similarity Completion.
Proceedings of the Biometric Recognition - 13th Chinese Conference, 2018

Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
DCAR: A Discriminative and Compact Audio Representation for Audio Processing.
IEEE Trans. Multimedia, 2017

Multi-Label Classification by Semi-Supervised Singular Value Decomposition.
IEEE Trans. Image Processing, 2017

Common latent space identification for heterogeneous co-transfer clustering.
Neurocomputing, 2017

Additive Co-Clustering with Social Influence for Recommendation.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2016
Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning.
IEEE Trans. Neural Netw. Learning Syst., 2016

A discriminative and sparse topic model for image classification and annotation.
Image Vision Comput., 2016

Robust graph learning via constrained elastic-net regularization.
Neurocomputing, 2016

DCAR: A Discriminative and Compact Audio Representation to Improve Event Detection.
CoRR, 2016

An Efficient Parallel Trust-Based Recommendation Method on Multicores.
Proceedings of the 2016 High Performance Graph Data Management and Processing Workshop, 2016

A Discriminative and Compact Audio Representation for Event Detection.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2015
Robust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer Learning.
IEEE Trans. Image Processing, 2015

Stratified feature sampling method for ensemble clustering of high dimensional data.
Pattern Recognition, 2015

Common Latent Space Identification for Heterogeneous Co-transfer Clustering.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

Sparse Probabilistic Matrix Factorization by Laplace Distribution for Collaborative Filtering.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Semi-supervised low-rank mapping learning for multi-label classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Sparse Label-Indicator Optimization Methods for Image Classification.
IEEE Trans. Image Processing, 2014

A New Active Set Method For Nonnegative Matrix Factorization.
SIAM J. Scientific Computing, 2014

Heterogeneous Co-transfer Spectral Clustering.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Constrained Least Squares Regression for Semi-Supervised Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Weighting Exponent Selection of Fuzzy C-Means via Jacobian Matrix.
Proceedings of the Knowledge Science, Engineering and Management, 2014

2013
Dictionary Learning-Based Subspace Structure Identification in Spectral Clustering.
IEEE Trans. Neural Netw. Learning Syst., 2013

A novel semi-supervised learning framework with simultaneous text representing.
Knowl. Inf. Syst., 2013

Recommending scientific articles using bi-relational graph-based iterative RWR.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Adaptive Graph Constrained NMF for Semi-Supervised Learning.
Proceedings of the Partially Supervised Learning - Second IAPR International Workshop, 2013

Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

2012
SNMFCA: Supervised NMF-Based Image Classification and Annotation.
IEEE Trans. Image Processing, 2012

A multi-layer text classification framework based on two-level representation model.
Expert Syst. Appl., 2012

Semi-supervised Clustering via Constrained Symmetric Non-negative Matrix Factorization.
Proceedings of the Brain Informatics - International Conference, 2012

2011
On gene Selection and Classification for Cancer microarray Data Using Multi-Step Clustering and Sparse Representation.
Advances in Adaptive Data Analysis, 2011

Least Absolute Deviation Cut.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Text Clustering Based on Granular Computing and Wikipedia.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Unsupervised Feature Weighting Based on Local Feature Relatedness.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

High-Order Co-clustering Text Data on Semantics-Based Representation Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Text Clustering via Constrained Nonnegative Matrix Factorization.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Sparse representation-based gene selection for cancer prediction.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010
Construction of gene networks with hybrid approach from expression profile and gene ontology.
IEEE Trans. Information Technology in Biomedicine, 2010

Knowledge-based vector space model for text clustering.
Knowl. Inf. Syst., 2010

Prior knowledge based mining functional modules from Yeast PPI networks with gene ontology.
BMC Bioinformatics, 2010

Text Clustering via Term Semantic Units.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Semantics-Based Representation Model for Multi-layer Text Classification.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

Medical Document Clustering Using Ontology-Based Term Similarity Measures.
Proceedings of the Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments, 2010

2009
Soft Subspace Clustering for High-Dimensional Data.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

A new fuzzy k-modes clustering algorithm for categorical data.
IJGCRSIS, 2009

SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters.
IJDMMM, 2009

A semi-supervised approach to projected clustering with applications to microarray data.
IJDMB, 2009

Granular Computing for Text Mining: New Research Challenges and Opportunities.
Proceedings of the Rough Sets, 2009

New Labeling Strategy for Semi-supervised Document Categorization.
Proceedings of the Knowledge Science, 2009

2008
Medical Document Clustering Using Ontology-Based Term Similarity Measures.
IJDWM, 2008

Spectral geometry for simultaneously clustering and ranking query search results.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

2007
An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data.
IEEE Trans. Knowl. Data Eng., 2007

A Comparative Study of Ontology Based Term Similarity Measures on PubMed Document Clustering.
Proceedings of the Advances in Databases: Concepts, 2007

2006
Supplier Categorization with K-Means Type Subspace Clustering.
Proceedings of the Frontiers of WWW Research and Development, 2006

2005
On the Performance of Feature Weighting K-Means for Text Subspace Clustering.
Proceedings of the Advances in Web-Age Information Management, 2005

Subspace Clustering of Text Documents with Feature Weighting K-Means Algorithm.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

2004
A Feature Weighting Approach to Building Classification Models by Interactive Clustering.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2004


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