I am currently working towards the Ph.D. degree in the Artificial Intelligence Department of Xiamen University (XMU), supervised by Prof. Shaozi Li. During the period of doctoral study, I visited Kay Chen Tan’s group in the City University of Hong Kong for three months.
Email: email@example.com or firstname.lastname@example.org
Mailing Address: #304, Scientific Research Building, Haiyun Campus, Xiamen, P.R. China, 361005
I am interested in machine learning and data mining. In particular, I am interested in classification (multi-label learning, weakly supervised learning, class-imbalance learning), feature selection and sparse learning, deep learning, data fusion, and recommendation systems. I am also interested in various data mining applications in medicine, such as TCM health management, drug discovery, hospital readmission, and autism spectrum disorder.
- Jia Zhang, Zhiming Luo, Candong Li, Changen Zhou, Shaozi Li*. Manifold regularized discriminative feature selection for multi-label learning. Pattern Recognition, 2019, 95: 136-150. [code]
- Jia Zhang, Candong Li, Zhenqiang Sun, Zhiming Luo, Changen Zhou, Shaozi Li*. Towards a unified multi-source-based optimization framework for multi-label learning. Applied Soft Computing, 2019, 76: 425-435.
- 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. Knowledge-Based Systems, 2018, 159: 148-157.
- Jia Zhang, Candong Li, Yaojin Lin, Youwei Shao, Shaozi Li*. Computational drug repositioning using collaborative filtering via multi-source fusion. Expert Systems with Applications, 2017, 84: 281-289.
- Jia Zhang, Yaojin Lin*, Menglei Lin, Jinghua Liu. An effective collaborative filtering algorithm based on user preference clustering. Applied Intelligence, 2016, 45 (2): 230-240.
- Jinghua. Liu, Yuwen Li, Wei Weng, Jia Zhang, Baihua Chen, Shunxiang Wu. Feature selection for multi-label learning with streaming label. Neurocomputing, 2020, 387: 268-278.
- Yidong Lin, Jinjin Li, Anhui Tan, Jia Zhang. Granular matrix-based knowledge reductions of formal fuzzy contexts. International Journal of Machine Learning and Cybernetics, 2020, 11 (3): 643–656.
- 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, 2019, 329: 447-456.
- Liang Dai, Jia Zhang, Candong Li, Changen Zhou, Shaozi Li. Multi‐label feature selection with application to TCM state identification. Concurrency and Computation: Practice and Experience, 2019, 31 (23): e4634.
- Jinghua Liu, Yaojin Lin, Menglei Lin, Shunxiang Wu, Jia Zhang. Feature selection based on quality of information. Neurocomputing, 2017, 225: 11-22.
- Yaojin Lin, Qinghua Hu, Jia Zhang, Xindong Wu. Multi-label feature selection with streaming labels. Information Sciences, 2016, 372: 256-275.
Journal Reviewer: Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems, Information Sciences, Knowledge-Based Systems