Jia Zhang

According to our database, Jia Zhang authored at least 45 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ORAL: Adaptive Gap Increasing for Advantage Learning via Occam's Razor Principle.

Zhe Zhang, Yongle Zhou, Yuyang Long, Jia Zhang, Juanjuan Weng, Zhetao Li, Yaozhong Gan, Xiaoyang Tan

IEEE Trans. Neural Networks Learn. Syst., April, 2026

OSFTL-PL: Online source-free transfer learning with pseudo-labels for privacy-preserving EEG-based BCI.

Siwei Liu, Keyan Chen, Jia Zhang, Jinyi Long, Hanrui Wu

Biomed. Signal Process. Control., 2026

Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding.

Ganxi Xu, Jinyi Long, Jia Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Cold-start User Recommendation via Heterogeneous Domain Adaptation.

Hanrui Wu, Yanxin Wu, Nuosi Li, Jia Zhang, Yonghui Xu, Michael K. Ng, Jinyi Long

ACM Trans. Inf. Syst., September, 2025

SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement.

Qianzhi Ye, Jia Zhang, Hanrui Wu, Tianlong Gu, C. L. Philip Chen, Jinyi Long

IEEE Trans. Knowl. Data Eng., September, 2025

Image-to-Brain Signal Generation for Visual Prosthesis with CLIP Guided Multimodal Diffusion Models.

Ganxi Xu, Jinyi Long, Jia Zhang

CoRR, September, 2025

EEG Feature Selection in Emotion Recognition Using a Fuzzy Information-Theoretic Based Optimization Approach.

Jia Zhang, Siwei Liu, Hanrui Wu, Zhe Zhang, Jinyi Long

IEEE Trans. Fuzzy Syst., August, 2025

Towards spatio-temporal representation learning for EEG classification in motor imagery-based BCI system.

Siwei Liu, Jia Zhang, Hanrui Wu, Guoxu Zhou, Qibin Zhao, Jinyi Long

Knowl. Based Syst., 2025

Consistent and specific multi-view multi-label learning with correlation information.

Yiting Li, Jia Zhang, Hanrui Wu, Guodong Du, Jinyi Long

Inf. Sci., 2025

2024

High-order proximity and relation analysis for cross-network heterogeneous node classification.

Hanrui Wu, Yanxin Wu, Nuosi Li, Min Yang, Jia Zhang, Michael K. Ng, Jinyi Long

Mach. Learn., September, 2024

Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization.

Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Jinyi Long, Jian Weng, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Collaborative contrastive learning for hypergraph node classification.

Hanrui Wu, Nuosi Li, Jia Zhang, Sentao Chen, Michael K. Ng, Jinyi Long

Pattern Recognit., February, 2024

Simplicial Complex Neural Networks.

Hanrui Wu, Andy M. Yip, Jinyi Long, Jia Zhang, Michael Kwok-Po Ng

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Feature Matching Machine for Cold-Start Recommendation.

Hanrui Wu, Nuosi Li, Ka Ho Kwok, Xuheng Cai, Jia Zhang, Jinyi Long, Michael Kwok-Po Ng

IEEE Trans. Serv. Comput., 2024

Toward Cross-Brain-Computer Interface: A Prototype-Supervised Adversarial Transfer Learning Approach With Multiple Sources.

Jia Zhang, Jinglong Fang, Siwei Liu, Dezheng Liu, Hanrui Wu, Jinyi Long

IEEE Trans. Instrum. Meas., 2024

Online Transfer Learning With Pseudo Label for Gait Phase Prediction.

Zhenpeng Guo, Hanrui Wu, Jinglong Fang, Jia Zhang, Jinyi Long

IEEE Trans. Instrum. Meas., 2024

Transferable graph auto-encoders for cross-network node classification.

Hanrui Wu, Lei Tian, Yanxin Wu, Jia Zhang, Michael K. P. Ng, Jinyi Long

Pattern Recognit., 2024

Semi-supervised imbalanced multi-label classification with label propagation.

Guodong Du, Jia Zhang, Ning Zhang, Hanrui Wu, Peiliang Wu, Shaozi Li

Pattern Recognit., 2024

2023

Graph-Based Class-Imbalance Learning With Label Enhancement.

Guodong Du, Jia Zhang, Min Jiang, Jinyi Long, Yaojin Lin, Shaozi Li, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Toward embedding-based multi-label feature selection with label and feature collaboration.

Liang Dai, Jia Zhang, Guodong Du, Candong Li, Rong Wei, Shaozi Li

Neural Comput. Appl., February, 2023

Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders.

Hanrui Wu, Chung Wang Wong, Jia Zhang, Yuguang Yan, Dahai Yu, Jinyi Long, Michael K. Ng

IEEE Trans. Serv. Comput., 2023

Group-preserving label-specific feature selection for multi-label learning.

Jia Zhang, Hanrui Wu, Min Jiang, Jinghua Liu, Shaozi Li, Yong Tang, Jinyi Long

Expert Syst. Appl., 2023

ASFS: A novel streaming feature selection for multi-label data based on neighborhood rough set.

Jinghua Liu, Yaojin Lin, Jixiang Du, Hongbo Zhang, Ziyi Chen, Jia Zhang

Appl. Intell., 2023

2022

Learning From Weakly Labeled Data Based on Manifold Regularized Sparse Model.

Jia Zhang, Shaozi Li, Min Jiang, Kay Chen Tan

IEEE Trans. Cybern., 2022

Semi-supervised partial multi-label classification via consistency learning.

Anhui Tan, Jiye Liang, Wei-Zhi Wu, Jia Zhang

Pattern Recognit., 2022

EEG-Based Motor Imagery Classification with Deep Adversarial Learning.

Dezheng Liu, Siwei Liu, Hanrui Wu, Jia Zhang, Jinyi Long

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2021

Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning.

Zhi-An Huang, Jia Zhang, Zexuan Zhu, Edmond Qi Wu, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., 2021

Fuzzy rough discrimination and label weighting for multi-label feature selection.

Anhui Tan, Jiye Liang, Wei-Zhi Wu, Jia Zhang, Lin Sun, Chao Chen

Neurocomputing, 2021

Learning from class-imbalance and heterogeneous data for 30-day hospital readmission.

Guodong Du, Jia Zhang, Shaozi Li, Candong Li

Neurocomputing, 2021

Towards graph-based class-imbalance learning for hospital readmission.

Guodong Du, Jia Zhang, Fenglong Ma, Min Zhao, Yaojin Lin, Shaozi Li

Expert Syst. Appl., 2021

2020

Joint imbalanced classification and feature selection for hospital readmissions.

Guodong Du, Jia Zhang, Zhiming Luo, Fenglong Ma, Lei Ma, Shaozi Li

Knowl. Based Syst., 2020

Feature selection for multi-label learning with streaming label.

Jinghua Liu, Yuwen Li, Wei Weng, Jia Zhang, Baihua Chen, Shunxiang Wu

Neurocomputing, 2020

Joint multilabel classification and feature selection based on deep canonical correlation analysis.

Liang Dai, Guodong Du, Jia Zhang, Candong Li, Rong Wei, Shaozi Li

Concurr. Comput. Pract. Exp., 2020

Multi-label Feature Selection via Global Relevance and Redundancy Optimization.

Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Kay Chen Tan

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Manifold regularized discriminative feature selection for multi-label learning.

Jia Zhang, Zhiming Luo, Candong Li, Changen Zhou, Shaozi Li

Pattern Recognit., 2019

Mutual information based multi-label feature selection via constrained convex optimization.

Zhenqiang Sun, Jia Zhang, Liang Dai, Candong Li, Changen Zhou, Jiliang Xin, Shaozi Li

Neurocomputing, 2019

Multi-label feature selection with application to TCM state identification.

Liang Dai, Jia Zhang, Candong Li, Changen Zhou, Shaozi Li

Concurr. Comput. Pract. Exp., 2019

Towards a unified multi-source-based optimization framework for multi-label learning.

Jia Zhang, Candong Li, Zhenqiang Sun, Zhiming Luo, Changen Zhou, Shaozi Li

Appl. Soft Comput., 2019

A Simple and Convex Formulation for Multi-label Feature Selection.

Peng Lin, Zhenqiang Sun, Jia Zhang, Zhiming Luo, Shaozi Li

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2019

2018

Multi-label learning with label-specific features by resolving label correlations.

Jia Zhang, Candong Li, Donglin Cao, Yaojin Lin, Songzhi Su, Liang Dai, Shaozi Li

Knowl. Based Syst., 2018

A Fast Feature Selection Method Based on Mutual Information in Multi-label Learning.

Zhenqiang Sun, Jia Zhang, Zhiming Luo, Donglin Cao, Shaozi Li

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2018

2017

Feature selection based on quality of information.

Jinghua Liu, Yaojin Lin, Menglei Lin, Shunxiang Wu, Jia Zhang

Neurocomputing, 2017

Computational drug repositioning using collaborative filtering via multi-source fusion.

Jia Zhang, Candong Li, Yaojin Lin, Youwei Shao, Shaozi Li

Expert Syst. Appl., 2017

2016

Multi-label feature selection with streaming labels.

Yaojin Lin, Qinghua Hu, Jia Zhang, Xindong Wu

Inf. Sci., 2016

An effective collaborative filtering algorithm based on user preference clustering.

Jia Zhang, Yaojin Lin, Menglei Lin, Jinghua Liu

Appl. Intell., 2016