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Liping Jing
Liping Jing
Beijing Jiaotong University
Verified email at bjtu.edu.cn
Title
Cited by
Cited by
Year
An entropy weighting k-means algorithm for subspace clustering of high-dimensional sparse data
L Jing, MK Ng, JZ Huang
IEEE Transactions on knowledge and data engineering 19 (8), 1026-1041, 2007
8732007
Improved feature selection approach TFIDF in text mining
LP Jing, HK Huang, HB Shi
Proceedings. International Conference on Machine Learning and Cybernetics 2 …, 2002
3382002
Label-specific document representation for multi-label text classification
L Xiao, X Huang, B Chen, L Jing
Proceedings of the 2019 conference on empirical methods in natural language …, 2019
1812019
Ontology-based distance measure for text clustering
L Jing, L Zhou, MK Ng, JZ Huang
Proc. of SIAM SDM workshop on text mining, Bethesda, Maryland, USA, 2006
1512006
Subspace Clustering of Text Documents with Feature Weighting K-Means Algorithm
L Jing, MK Ng, J Xu, JZ Huang
Advances in Knowledge Discovery and Data Mining: 9th Pacific-Asia Conference …, 2005
1392005
Knowledge-based vector space model for text clustering
L Jing, MK Ng, JZ Huang
Knowledge and information systems 25, 35-55, 2010
1352010
A comparative study of ontology based term similarity measures on PubMed document clustering
X Zhang, L Jing, X Hu, M Ng, X Zhou
Advances in Databases: Concepts, Systems and Applications: 12th …, 2007
1112007
Clustering ensemble based on sample's stability
F Li, Y Qian, J Wang, C Dang, L Jing
Artificial Intelligence 273, 37-55, 2019
1092019
Interpretable image recognition by constructing transparent embedding space
J Wang, H Liu, X Wang, L Jing
Proceedings of the IEEE/CVF international conference on computer vision, 895-904, 2021
1052021
Stratified feature sampling method for ensemble clustering of high dimensional data
L Jing, K Tian, JZ Huang
Pattern Recognition 48 (11), 3688-3702, 2015
912015
Semi-supervised low-rank mapping learning for multi-label classification
L Jing, L Yang, J Yu, MK Ng
Proceedings of the IEEE conference on computer vision and pattern …, 2015
892015
Learning transferred weights from co-occurrence data for heterogeneous transfer learning
L Yang, L Jing, J Yu, MK Ng
IEEE transactions on neural networks and learning systems 27 (11), 2187-2200, 2015
852015
Tensor-based low-dimensional representation learning for multi-view clustering
M Cheng, L Jing, MK Ng
IEEE Transactions on Image Processing 28 (5), 2399-2414, 2018
762018
Hyperbolic interaction model for hierarchical multi-label classification
B Chen, X Huang, L Xiao, Z Cai, L Jing
Proceedings of the AAAI conference on artificial intelligence 34 (05), 7496-7503, 2020
742020
Local distribution-based adaptive minority oversampling for imbalanced data classification
X Wang, J Xu, T Zeng, L Jing
Neurocomputing 422, 200-213, 2021
692021
SNMFCA: Supervised NMF-based image classification and annotation
L Jing, C Zhang, MK Ng
IEEE transactions on image processing 21 (11), 4508-4521, 2012
592012
Recommending scientific articles using bi-relational graph-based iterative RWR
G Tian, L Jing
Proceedings of the 7th ACM conference on Recommender systems, 399-402, 2013
582013
Robust and non-negative collective matrix factorization for text-to-image transfer learning
L Yang, L Jing, MK Ng
IEEE transactions on Image Processing 24 (12), 4701-4714, 2015
572015
Sparse self-attention LSTM for sentiment lexicon construction
D Deng, L Jing, J Yu, S Sun
IEEE/ACM transactions on audio, speech, and language processing 27 (11 …, 2019
542019
Does head label help for long-tailed multi-label text classification
L Xiao, X Zhang, L Jing, C Huang, M Song
Proceedings of the AAAI conference on artificial intelligence 35 (16), 14103 …, 2021
532021
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