Liping Jing

发表

Semi-supervised low-rank mapping learning for multi-label classification

Jian Yu, Michael K. Ng, Liu Yang, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm

Michael K. Ng, Liping Jing, Chenyang Shen, 2013, EMMCVPR.

A multi-layer text classification framework based on two-level representation model

Jian Yu, Houkuan Huang, Liping Jing, 2012, Expert Syst. Appl..

Important sampling based active learning for imbalance classification

Jian Yu, Bo Liu, Liping Jing, 2020, Science China Information Sciences.

A novel semi-supervised learning framework with simultaneous text representing

Jian Yu, Yan Zhu, Liping Jing, 2012, Knowledge and Information Systems.

Sparse Label-Indicator Optimization Methods for Image Classification

Michael K. Ng, Liping Jing, M. Ng, 2014, IEEE Transactions on Image Processing.

A New Active Set Method For Nonnegative Matrix Factorization

Chao Zhang, Naihua Xiu, Liping Jing, 2014, SIAM J. Sci. Comput..

High-Order Co-clustering Text Data on Semantics-Based Representation Model

Jian Yu, Joshua Zhexue Huang, Liping Jing, 2011, PAKDD.

A new fuzzy k-modes clustering algorithm for categorical data

Michael K. Ng, Liping Jing, 2009, Int. J. Granul. Comput. Rough Sets Intell. Syst..

Collaboration Matrix Factorization on Rate and Review for Recommendation

Zhicheng Wu, Huafeng Liu, Liping Jing, 2019, J. Database Manag..

New Labeling Strategy for Semi-supervised Document Categorization

Jian Yu, Yan Zhu, Liping Jing, 2009, KSEM.

Weighting Exponent Selection of Fuzzy C-Means via Jacobian Matrix

Jian Yu, Dong Deng, Liping Jing, 2014, KSEM.

Neural gaussian mixture model for review-based rating prediction

Jian Yu, Dong Deng, Liping Jing, 2018, RecSys '18.

Construction of Gene Networks With Hybrid Approach From Expression Profile and Gene Ontology

Michael K. Ng, Liping Jing, Ying Liu, 2010, IEEE Transactions on Information Technology in Biomedicine.

Semantics-Based Representation Model for Multi-layer Text Classification

Jian Yu, Houkuan Huang, Liping Jing, 2010, KES.

Stratified feature sampling method for ensemble clustering of high dimensional data

Joshua Zhexue Huang, Liping Jing, Kuang Tian, 2015, Pattern Recognit..

Sentiment Lexicon Construction With Hierarchical Supervision Topic Model

Jian Yu, Michael K. Ng, Liping Jing, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

DCAR: A Discriminative and Compact Audio Representation to Improve Event Detection pdf

Jaeyoung Choi, Gerald Friedland, Bo Liu, 2016, ArXiv.

An Efficient Parallel Trust-Based Recommendation Method on Multicores

Huafeng Liu, Liping Jing, MiaoMiao Cheng, 2016, 2016 High Performance Graph Data Management and Processing Workshop (HPGDMP).

A Feature Weighting Approach to Building Classification Models by Interactive Clustering

Michael K. Ng, Joshua Zhexue Huang, Liping Jing, 2004, MDAI.

Electro-Osmosis Chemical Treatment of High-Salinity Soft Marine Soils: Laboratory Tests

Chen Fang, Lei Zhang, Liping Jing, 2017 .

A discriminative and sparse topic model for image classification and annotation

Jian Yu, Michael K. Ng, Liu Yang, 2016, Image Vis. Comput..

A pseudo-static method for seismic responses of underground frame structures subjected to increasing excitations

Liping Jing, Huabei Liu, Jie Cui, 2017 .

Robust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer Learning

Michael K. Ng, Liu Yang, Liping Jing, 2015, IEEE Transactions on Image Processing.

Granular Computing for Text Mining: New Research Challenges and Opportunities

Raymond Y. K. Lau, Liping Jing, 2009, RSFDGrC.

Medical Document Clustering Using Ontology-Based Term Similarity Measures

Michael K. Ng, Xiaodan Zhang, Liping Jing, 2008, Int. J. Data Warehous. Min..

Robust graph learning via constrained elastic-net regularization

Jian Yu, Bo Liu, Jia Li, 2016, Neurocomputing.

DCAR: A Discriminative and Compact Audio Representation for Audio Processing

Jaeyoung Choi, Gerald Friedland, Michael W. Mahoney, 2017, IEEE Transactions on Multimedia.

Text Clustering Based on Granular Computing and Wikipedia

Jian Yu, Liping Jing, 2011, RSKT.

Text Clustering via Constrained Nonnegative Matrix Factorization

Jian Yu, Yan Zhu, Liping Jing, 2011, 2011 IEEE 11th International Conference on Data Mining.

Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement

Chen Wang, Feiping Nie, Liping Jing, 2018, AAAI.

Deep generative ranking for personalized recommendation

Jian Yu, Huafeng Liu, Liping Jing, 2019, RecSys.

Common latent space identification for heterogeneous co-transfer clustering

Jian Yu, Liu Yang, Liping Jing, 2015, Neurocomputing.

Sparse representation-based gene selection for cancer prediction

Liping Jing, Kuang Tian, Ninglin Du, 2011, 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI).

Attention, Please! Adversarial Defense via Attention Rectification and Preservation pdf

Jian Yu, Yanfeng Sun, Jitao Sang, 2018, ArXiv.

Clustering ensemble based on sample's stability

Yuhua Qian, Chuangyin Dang, Liping Jing, 2019, Artif. Intell..

A Discriminative and Compact Audio Representation for Event Detection

Jaeyoung Choi, Gerald Friedland, Bo Liu, 2016, ACM Multimedia.

Additive Co-Clustering with Social Influence for Recommendation

Huafeng Liu, Liping Jing, Xixi Du, 2017, RecSys.

On the Performance of Feature Weighting K-Means for Text Subspace Clustering

Michael K. Ng, Jun Xu, Joshua Zhexue Huang, 2005, WAIM.

Novel Hybrid Method for Gene Selection and Cancer Prediction

Michael K. Ng, Tieyong Zeng, Liping Jing, 2010 .

Soft Subspace Clustering for High-Dimensional Data

Michael K. Ng, Joshua Zhexue Huang, Liping Jing, 2009, Encyclopedia of Data Warehousing and Mining.

Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning

Jian Yu, Michael K. Ng, Liu Yang, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Group Collaborative Representation for Image Set Classification

Jian Yu, Bo Liu, Jia Li, 2019, International Journal of Computer Vision.

Adaptive Ensemble Probabilistic Matrix Approximation for Recommendation

Huafeng Liu, Liping Jing, Xingxing Li, 2018, PRCV.

SNMFCA: Supervised NMF-Based Image Classification and Annotation

Michael K. Ng, Chao Zhang, Liping Jing, 2012, IEEE Transactions on Image Processing.

Constrained Least Squares Regression for Semi-Supervised Learning

Jian Yu, Bo Liu, Jia Li, 2014, PAKDD.

Hyperbolic Interaction Model For Hierarchical Multi-Label Classification pdf

Lin Xiao, Xin Huang, Liping Jing, 2019, AAAI.

Supplier Categorization with K-Means Type Subspace Clustering

Depei Qian, Joshua Zhexue Huang, Xingjun Zhang, 2006, APWeb.

A semi-supervised approach to projected clustering with applications to microarray data

Michael K. Ng, David Wai-Lok Cheung, Liping Jing, 2009, Int. J. Data Min. Bioinform..

Unsupervised Feature Weighting Based on Local Feature Relatedness

Jian Yu, Houkuan Huang, Liping Jing, 2011, PAKDD.

A Joint Multi-Task CNN for Cross-Age Face Recognition

Liping Jing, Jinbiao Yu, L. Jing, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Heterogeneous Co-transfer Spectral Clustering

Jian Yu, Liu Yang, Liping Jing, 2014, RSKT.

Dictionary Learning-Based Subspace Structure Identification in Spectral Clustering

Michael K. Ng, Tieyong Zeng, Liping Jing, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Knowledge-based vector space model for text clustering

Michael K. Ng, Joshua Zhexue Huang, Liping Jing, 2010, Knowledge and Information Systems.

A Text Clustering System based on k-means Type Subspace Clustering and Ontology

Joshua Zhexue Huang, Xinhua Yang, Liping Jing, 2008 .

Tensor-Based Low-Dimensional Representation Learning for Multi-View Clustering

Michael K. Ng, Liping Jing, Miaomiao Cheng, 2019, IEEE Transactions on Image Processing.

Prior knowledge based mining functional modules from Yeast PPI networks with gene ontology

Michael K. Ng, Liping Jing, M. Ng, 2010, BMC Bioinformatics.

Spectral geometry for simultaneously clustering and ranking query search results

Liping Jing, Wenyuan Li, Ying Liu, 2008, SIGIR '08.

Sparse Probabilistic Matrix Factorization by Laplace Distribution for Collaborative Filtering

Peng Wang, Liu Yang, Liping Jing, 2015, IJCAI.

Topic-Adaptive Sentiment Lexicon Construction

Jian Yu, Michael K. Ng, Liping Jing, 2018, 2018 First Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia).

Text Clustering via Term Semantic Units

Jian Yu, Houkuan Huang, Liping Jing, 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Hyperbolic Capsule Networks for Multi-Label Classification

Lin Xiao, Liping Jing, Xin Huang, 2020, ACL.

An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data

Michael K. Ng, Joshua Zhexue Huang, Liping Jing, 2007, IEEE Transactions on Knowledge and Data Engineering.

Semi-supervised Clustering via Constrained Symmetric Non-negative Matrix Factorization

Jian Yu, Tieyong Zeng, Yan Zhu, 2012, Brain Informatics.

Common latent space identification for heterogeneous co-transfer clustering

Jian Yu, Liu Yang, Bo Liu, 2017, Neurocomputing.

Document Topic Extraction Based on Wikipedia Category

Jian Yu, Houkuan Huang, Ying Zhang, 2011, 2011 Fourth International Joint Conference on Computational Sciences and Optimization.

SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters

Michael K. Ng, Joshua Zhexue Huang, Yiu-ming Cheung, 2009, Int. J. Data Min. Model. Manag..

Multi-Label Classification by Semi-Supervised Singular Value Decomposition

Jian Yu, Michael K. Ng, Liu Yang, 2017, IEEE Transactions on Image Processing.

The Automatic Identification of Butterfly Species pdf

Yinghuan Shi, Fuzhen Zhuang, Junping Zhang, 2018, ArXiv.

Least Absolute Deviation Cut

Jian Yu, Liping Jing, L. Jing, 2011, RSKT.

Label-Aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification pdf

Lin Xiao, Xin Huang, Liping Jing, 2019, Neural Processing Letters.

A Comparative Study of Ontology Based Term Similarity Measures on PubMed Document Clustering

Michael K. Ng, Xiaohua Hu, Xiaodan Zhang, 2007, DASFAA.

Recommending scientific articles using bi-relational graph-based iterative RWR

Geng Tian, Liping Jing, L. Jing, 2013, RecSys.

Adaptive Graph Constrained NMF for Semi-Supervised Learning

Jian Yu, Qian Li, Liping Jing, 2013, PSL.

Reinforcing Semantic-Symmetry for Document Summarization pdf

Liping Jing, Mingyang Song, 2021, ArXiv.

Topic-Aware Encoding for Extractive Summarization pdf

Liping Jing, Mingyang Song, 2021, ArXiv.

Inference during reading: multi-label classification for text with continuous semantic units

Liping Jing, Feng Liu, Xuetao Tian, 2021, Applied intelligence (Boston).

Adversarial Imbalance Classification with Class-Specific Diverse Instance Generation

Xinyue Wang, Liping Jing, Qihang Shen, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Bayesian Additive Matrix Approximation for Social Recommendation

Michael K. Ng, Liping Jing, Jian Yu, 2021, ACM Trans. Knowl. Discov. Data.

Smooth Soft-Balance Discriminative Analysis for imbalanced data

Tieyong Zeng, Xinyue Wang, Liping Jing, 2021, Knowledge-Based Systems.

Probing BERT in Hyperbolic Spaces pdf

Liping Jing, Pengjun Xie, Chuanqi Tan, 2021, ICLR.

Cluster-wise Hierarchical Generative Model for Deep Amortized Clustering

Liping Jing, Huafeng Liu, Jiaqi Wang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Target-aware Representation for Visual Tracking via Informative Interactions pdf

Liping Jing, Heng Fan, Bing Li, 2022, IJCAI.

Importance Estimation from Multiple Perspectives for Keyphrase Extraction

Liping Jing, Mingyang Song, Lin Xiao, 2021, EMNLP.

Reinforced Abstractive Summarization with Adaptive Length Controlling pdf

Liping Jing, Yi Feng, Mingyang Song, 2021, ArXiv.