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ORCIDJia Zhang 0019
Person information
- affiliation: Jinan University, Guangzhou, China
Other persons with the same name
- Jia Zhang — disambiguation page
- Jia Zhang 0001
![[0000-0003-2148-0923]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2148-0923")
— Southern Methodist University, Department of Computer Science, Dallas, TX, USA (and 2 more) - Jia Zhang 0002 — City University of Hong Kong, SAR, China
- Jia Zhang 0003 — Xidian University, Xi'an, Shaanxi, China
- Jia Zhang 0004 — Tsinghua University, Beijing National Research Center for Information Science and Technology, Department of Computer Science and Technology, China
- Jia Zhang 0005 — Central South University of Forestry and Technology, Changsha, China
- Jia Zhang 0006 — Skolkovo Institute of Science and Technology, Skolkovo, Rusia
- Jia Zhang 0007 — Chung-Ang University, Seoul, Korea
- Jia Zhang 0008 — Hohai University, Nanjing, China
- Jia Zhang 0009 — National Taiwan Normal University, Taipei, Taiwan
- Jia Zhang 0010 — Zhongguancun Laboratory, Tsinghua University, Beijing, China
- Jia Zhang 0011 — Shanghai University, School of Environmental and Chemical Engineering, China
- Jia Zhang 0012 — School of Software, Tsinghua University, Beijing, China
- Jia Zhang 0013 — Shenyang Ligong University, Shenyang, China
- Jia Zhang 0014 — Beijing Institute of Technology, Beijing, China
- Jia Zhang 0015 — University of California Berkeley, Berkeley, CA, USA
- Jia Zhang 0016 — Xi'an Jiaotong University, Xi'an, China
- Jia Zhang 0017 — College of Computer Engineering, Jimei University, China
- Jia Zhang 0018 — Chongqing University of Posts and Telecommunications, Chongqing, China
- Jia Zhang 0020 — Shenyang University of Technology, China
- Jia Zhang 0021 — Hangzhou Dianzi University, Hangzhou, Zhejiang, China
- Jia Zhang 0022 — Huazhong University of Science and Technology, Wuhan, China
- Jia Zhang 0023 — China Education and Research Network, Beijing, China
- Jia Zhang 0024 — Jiangsu University, Zhenjiang, China
- Jia Zhang 0025 — Tianjin University, Tianjin, China
- Jia Zhang 0026 — ETH Zürich, Zürich, Switzerland
- Jia Zhang 0027 — Southwest Jiaotong University, Chengdu, Sichuan, China
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2020 – today
- 2026
[j38]Siwei Liu, Keyan Chen, Jia Zhang, Jinyi Long, Hanrui Wu:
OSFTL-PL: Online source-free transfer learning with pseudo-labels for privacy-preserving EEG-based BCI. Biomed. Signal Process. Control. 114: 109326 (2026)- 2025
- [j37]Yiting Li, Jia Zhang, Hanrui Wu, Guodong Du, Jinyi Long:
Consistent and specific multi-view multi-label learning with correlation information. Inf. Sci. 687: 121395 (2025) - [j36]Siwei Liu, Jia Zhang, Hanrui Wu, Guoxu Zhou, Qibin Zhao, Jinyi Long:
Towards spatio-temporal representation learning for EEG classification in motor imagery-based BCI system. Knowl. Based Syst. 324: 113801 (2025) - [j35]Jia Zhang, Siwei Liu, Hanrui Wu, Zhe Zhang, Jinyi Long:
EEG Feature Selection in Emotion Recognition Using a Fuzzy Information-Theoretic Based Optimization Approach. IEEE Trans. Fuzzy Syst. 33(8): 2675-2688 (2025) - [j34]Qianzhi Ye, Jia Zhang, Hanrui Wu, Tianlong Gu, C. L. Philip Chen, Jinyi Long:
SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement. IEEE Trans. Knowl. Data Eng. 37(9): 5613-5626 (2025) - [j33]Hanrui Wu, Yanxin Wu, Nuosi Li, Jia Zhang, Yonghui Xu, Michael K. Ng, Jinyi Long:
Cold-start User Recommendation via Heterogeneous Domain Adaptation. ACM Trans. Inf. Syst. 43(5): 141:1-141:26 (2025) - [i2]Ganxi Xu, Jinyi Long, Jia Zhang:
Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding. CoRR abs/2504.09109 (2025) - [i1]Ganxi Xu, Jinyi Long, Jia Zhang:
Image-to-Brain Signal Generation for Visual Prosthesis with CLIP Guided Multimodal Diffusion Models. CoRR abs/2509.00787 (2025) - 2024
- [j32]Hanrui Wu, Yanxin Wu, Nuosi Li, Min Yang, Jia Zhang, Michael K. Ng, Jinyi Long:
High-order proximity and relation analysis for cross-network heterogeneous node classification. Mach. Learn. 113(9): 6247-6272 (2024) - [j31]Hanrui Wu, Andy M. Yip, Jinyi Long, Jia Zhang, Michael Kwok-Po Ng:
Simplicial Complex Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 561-575 (2024) - [j30]Hanrui Wu, Nuosi Li, Jia Zhang, Sentao Chen, Michael K. Ng, Jinyi Long:
Collaborative contrastive learning for hypergraph node classification. Pattern Recognit. 146: 109995 (2024) - [j29]Hanrui Wu, Lei Tian, Yanxin Wu, Jia Zhang, Michael K. P. Ng, Jinyi Long:
Transferable graph auto-encoders for cross-network node classification. Pattern Recognit. 150: 110334 (2024) - [j28]Guodong Du, Jia Zhang, Ning Zhang, Hanrui Wu, Peiliang Wu, Shaozi Li:
Semi-supervised imbalanced multi-label classification with label propagation. Pattern Recognit. 150: 110358 (2024) - [j27]Zhenpeng Guo, Hanrui Wu, Jinglong Fang, Jia Zhang, Jinyi Long:
Online Transfer Learning With Pseudo Label for Gait Phase Prediction. IEEE Trans. Instrum. Meas. 73: 1-15 (2024) - [j26]Jia Zhang, Jinglong Fang, Siwei Liu, Dezheng Liu, Hanrui Wu, Jinyi Long:
Toward Cross-Brain-Computer Interface: A Prototype-Supervised Adversarial Transfer Learning Approach With Multiple Sources. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j25]Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Jinyi Long, Jian Weng, Kay Chen Tan:
Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5721-5734 (2024) - [j24]Hanrui Wu, Nuosi Li, Ka Ho Kwok, Xuheng Cai, Jia Zhang, Jinyi Long, Michael Kwok-Po Ng:
Feature Matching Machine for Cold-Start Recommendation. IEEE Trans. Serv. Comput. 17(1): 98-112 (2024) - 2023
- [j23]Jinghua Liu, Yaojin Lin, Jixiang Du, Hongbo Zhang, Ziyi Chen, Jia Zhang:
ASFS: A novel streaming feature selection for multi-label data based on neighborhood rough set. Appl. Intell. 53(2): 1707-1724 (2023) - [j22]Jia Zhang, Hanrui Wu, Min Jiang, Jinghua Liu, Shaozi Li, Yong Tang, Jinyi Long:
Group-preserving label-specific feature selection for multi-label learning. Expert Syst. Appl. 213(Part): 118861 (2023) - [j21]Liang Dai, Jia Zhang, Guodong Du, Candong Li, Rong Wei, Shaozi Li:
Toward embedding-based multi-label feature selection with label and feature collaboration. Neural Comput. Appl. 35(6): 4643-4665 (2023) - [j20]Guodong Du, Jia Zhang, Min Jiang, Jinyi Long, Yaojin Lin, Shaozi Li, Kay Chen Tan:
Graph-Based Class-Imbalance Learning With Label Enhancement. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6081-6095 (2023) - [j19]Hanrui Wu, Chung Wang Wong, Jia Zhang, Yuguang Yan, Dahai Yu, Jinyi Long, Michael K. Ng:
Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders. IEEE Trans. Serv. Comput. 16(4): 2477-2489 (2023) - 2022
- [j18]Anhui Tan, Jiye Liang, Wei-Zhi Wu, Jia Zhang:
Semi-supervised partial multi-label classification via consistency learning. Pattern Recognit. 131: 108839 (2022) - [j17]Jia Zhang, Shaozi Li, Min Jiang, Kay Chen Tan:
Learning From Weakly Labeled Data Based on Manifold Regularized Sparse Model. IEEE Trans. Cybern. 52(5): 3841-3854 (2022) - [c4]Dezheng Liu, Siwei Liu, Hanrui Wu, Jia Zhang, Jinyi Long:
EEG-Based Motor Imagery Classification with Deep Adversarial Learning. ChineseCSCW (2) 2022: 243-255 - 2021
- [j16]Guodong Du, Jia Zhang, Fenglong Ma, Min Zhao, Yaojin Lin, Shaozi Li:
Towards graph-based class-imbalance learning for hospital readmission. Expert Syst. Appl. 176: 114791 (2021) - [j15]Guodong Du, Jia Zhang, Shaozi Li, Candong Li:
Learning from class-imbalance and heterogeneous data for 30-day hospital readmission. Neurocomputing 420: 27-35 (2021) - [j14]Anhui Tan, Jiye Liang, Wei-Zhi Wu, Jia Zhang, Lin Sun, Chao Chen:
Fuzzy rough discrimination and label weighting for multi-label feature selection. Neurocomputing 465: 128-140 (2021) - [j13]Zhi-An Huang, Jia Zhang, Zexuan Zhu, Edmond Qi Wu, Kay Chen Tan:
Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. 32(9): 3971-3984 (2021) - 2020
- [j12]Liang Dai, Guodong Du, Jia Zhang, Candong Li, Rong Wei, Shaozi Li:
Joint multilabel classification and feature selection based on deep canonical correlation analysis. Concurr. Comput. Pract. Exp. 32(22) (2020) - [j11]Jinghua Liu, Yuwen Li, Wei Weng, Jia Zhang, Baihua Chen, Shunxiang Wu:
Feature selection for multi-label learning with streaming label. Neurocomputing 387: 268-278 (2020) - [j10]Guodong Du, Jia Zhang, Zhiming Luo, Fenglong Ma, Lei Ma, Shaozi Li:
Joint imbalanced classification and feature selection for hospital readmissions. Knowl. Based Syst. 200: 106020 (2020) - [c3]Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Kay Chen Tan:
Multi-label Feature Selection via Global Relevance and Redundancy Optimization. IJCAI 2020: 2512-2518
2010 – 2019
- 2019
- [j9]Jia Zhang, Candong Li, Zhenqiang Sun, Zhiming Luo, Changen Zhou, Shaozi Li:
Towards a unified multi-source-based optimization framework for multi-label learning. Appl. Soft Comput. 76: 425-435 (2019) - [j8]Liang Dai, Jia Zhang, Candong Li, Changen Zhou, Shaozi Li:
Multi-label feature selection with application to TCM state identification. Concurr. Comput. Pract. Exp. 31(23) (2019) - [j7]Zhenqiang Sun, Jia Zhang, Liang Dai, Candong Li, Changen Zhou, Jiliang Xin, Shaozi Li:
Mutual information based multi-label feature selection via constrained convex optimization. Neurocomputing 329: 447-456 (2019) - [j6]Jia Zhang, Zhiming Luo, Candong Li, Changen Zhou, Shaozi Li:
Manifold regularized discriminative feature selection for multi-label learning. Pattern Recognit. 95: 136-150 (2019) - [c2]Peng Lin, Zhenqiang Sun, Jia Zhang, Zhiming Luo, Shaozi Li:
A Simple and Convex Formulation for Multi-label Feature Selection. ChineseCSCW 2019: 540-553 - 2018
- [j5]Jia Zhang, Candong Li, Donglin Cao, Yaojin Lin, Songzhi Su, Liang Dai, Shaozi Li:
Multi-label learning with label-specific features by resolving label correlations. Knowl. Based Syst. 159: 148-157 (2018) - [c1]Zhenqiang Sun, Jia Zhang, Zhiming Luo, Donglin Cao, Shaozi Li:
A Fast Feature Selection Method Based on Mutual Information in Multi-label Learning. ChineseCSCW 2018: 424-437 - 2017
- [j4]Jia Zhang, Candong Li, Yaojin Lin, Youwei Shao, Shaozi Li:
Computational drug repositioning using collaborative filtering via multi-source fusion. Expert Syst. Appl. 84: 281-289 (2017) - [j3]Jinghua Liu, Yaojin Lin, Menglei Lin, Shunxiang Wu, Jia Zhang:
Feature selection based on quality of information. Neurocomputing 225: 11-22 (2017) - 2016
- [j2]Jia Zhang, Yaojin Lin, Menglei Lin, Jinghua Liu:
An effective collaborative filtering algorithm based on user preference clustering. Appl. Intell. 45(2): 230-240 (2016) - [j1]Yaojin Lin, Qinghua Hu, Jia Zhang, Xindong Wu:
Multi-label feature selection with streaming labels. Inf. Sci. 372: 256-275 (2016)
Coauthor Index
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