Jia Zhang
Cited by
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An effective collaborative filtering algorithm based on user preference clustering
J Zhang, Y Lin, M Lin, J Liu
Applied Intelligence 45 (2), 230-240, 2016
Feature selection based on quality of information
J Liu, Y Lin, M Lin, S Wu, J Zhang
Neurocomputing 225, 11-22, 2017
Multi-label feature selection with streaming labels
Y Lin, Q Hu, J Zhang, X Wu
Information Sciences 372, 256-275, 2016
Manifold regularized discriminative feature selection for multi-label learning
J Zhang, Z Luo, C Li, C Zhou, S Li
Pattern Recognition 95, 136-150, 2019
Multi-label learning with label-specific features by resolving label correlations
J Zhang, C Li, D Cao, Y Lin, S Su, L Dai, S Li
Knowledge-Based Systems 159, 148-157, 2018
Mutual information based multi-label feature selection via constrained convex optimization
Z Sun, J Zhang, L Dai, C Li, C Zhou, J Xin, S Li
Neurocomputing 329, 447-456, 2019
Computational drug repositioning using collaborative filtering via multi-source fusion
J Zhang, C Li, Y Lin, Y Shao, S Li
Expert Systems with Applications 84, 281-289, 2017
Towards a unified multi-source-based optimization framework for multi-label learning
J Zhang, C Li, Z Sun, Z Luo, C Zhou, S Li
Applied Soft Computing 76, 425-435, 2019
Multi‐label feature selection with application to TCM state identification
L Dai, J Zhang, C Li, C Zhou, S Li
Concurrency and Computation: Practice and Experience 31 (23), e4634, 2019
Joint imbalanced classification and feature selection for hospital readmissions
G Du, J Zhang, Z Luo, F Ma, L Ma, S Li
Knowledge-Based Systems 200, 106020, 2020
Feature selection for multi-label learning with streaming label
J Liu, Y Li, W Weng, J Zhang, B Chen, S Wu
Neurocomputing 387, 268-278, 2020
A fast feature selection method based on mutual information in multi-label learning
Z Sun, J Zhang, Z Luo, D Cao, S Li
CCF Conference on Computer Supported Cooperative Work and Social Computing …, 2018
张佳, 林耀进, 林梦雷, 刘景华
模式识别与人工智能 28 (9), 802-810, 2015
Granular matrix-based knowledge reductions of formal fuzzy contexts
Y Lin, J Li, A Tan, J Zhang
International Journal of Machine Learning and Cybernetics 11 (3), 643-656, 2020
Multi-label Feature Selection via Global Relevance and Redundancy Optimization
J Zhang, Y Lin, M Jiang, S Li, Y Tang, KC Tan
IJCAI, 2512-2518, 2020
Joint multilabel classification and feature selection based on deep canonical correlation analysis
L Dai, G Du, J Zhang, C Li, R Wei, S Li
Concurrency and Computation: Practice and Experience 32 (22), e5864, 2020
Learning From Weakly Labeled Data Based on Manifold Regularized Sparse Model
J Zhang, S Li, M Jiang, KC Tan
IEEE Transactions on Cybernetics, 2020
Learning from class-imbalance and heterogeneous data for 30-day hospital readmission
G Du, J Zhang, S Li, C Li
Neurocomputing 420, 27-35, 2021
Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning
ZA Huang, J Zhang, Z Zhu, EQ Wu, KC Tan
IEEE Transactions on Neural Networks and Learning Systems, 2020
A Microcosmic Syndrome Differentiation Model for Metabolic Syndrome with Multilabel Learning
S Xia, J Zhang, G Du, S Li, CT Vong, Z Yang, J Xin, L Zhu, B Gao, C Li
Evidence-Based Complementary and Alternative Medicine 2020, 2020
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