一、近三年发表论文： (1) Zhen Jiang*, Haolei Qin, Zeyu Feng, Haizhen Guan. Semi-supervised hierarchical clustering via low-density separation. Knowledge and Information Systems (CCF B类) 2026.3 online. (2) Bolin Niu, Zhen Jiang*, Qidong Sun, Yuping Xing. Few-Shot Classification via Semi-Supervised Density-based Agglomerative Clustering. Pattern Analysis and Applications (CCF C类) 2026, 29(1): 45. (3) Zhen Jiang*, Jianlong Sun, Haodong Liu, Haizhen Guan. Multi-temporal ensemble for few-shot action recognition. Expert Systems with Applications, Volume 298, Part C, 1 March 2026, 129821. (SCI一区) （4）Zhen Jiang*, Bolin Niu, Jinxin Guan, Yuping Xing. Unsupervised and Semi-Supervised Clustering Via Density and Distance-Based Label Propagation and Assignment. Information Systems, Volume 136, February 2026, 102639. (CCF B类) （5）Zhen Jiang*; Zeyu Feng; Bolin Niu. Prototype-Neighbor Networks with Task-Specific Enhanced Meta-learning for Few-Shot Classification, Neural Networks, 2025: 107761. (CCF B类) （6）Zhen Jiang *; Na Tang; Jianlong Sun; Yongzhao Zhan. Combining various training and adaptation algorithms for ensemble few-shot classification, Neural Networks, 2025, 185(107211): 1-10 (CCF B类) （7）Zhen Jiang*, Yu Lu, Yongzhao Zhan; Combining semi-supervised clustering and classification under a generalized framework. Journal of Classification. Volume 42, pages 181–204, (2025)（SCI & SSCI） （8）Zhen Jiang *; Yu Lu; Lingyun Zhao; Yongzhao Zhan; Qirong Mao; A post-processing framework for class-imbalanced learning in a transductive setting, Expert Systems with Applications, 2024, 249(123832) (SCI一区) （9）Lei Jiang; Yongzhao Zhan, Zhen Jiang*, Na tang. A dual-prototype network combining query-specific and class-specific attentive learning for few-shot action recognition[J]. Neurocomputing, 2024, 598: 127819. (SCI二区). （10）Zhen Jiang*; Lingyun Zhao; Yongzhao Zhan. A boosted co-training method for class-imbalanced learning, Expert Systems, 2023, 40(9) (CCF C类) （11）Zhen Jiang*; Yongzhao Zhan; Qirong Mao; Yang Du; Semi-supervised clustering under a compact-cluster assumption, IEEE Transactions on Knowledge and Data Engineering, 2023, Vol.35(5): 5244-5256.（CCF A类） （12）Zhen Jiang*; Lingyun Zhao, Yu Lu, Yongzhao Zhan; Qirong Mao; A semi-supervised resampling method for class-imbalanced learning, Expert Systems with Applications, 2023, 221: 119733. (SCI一区)
二、专利： (1)姜震; 熊相真; 杜阳; 冯路捷; 孙祥瑜 ; 一种结合SVM和半监督聚类的不平衡文本分类方法及系统,2023-03-24, 中国, CN201910414208.0 (专利) (2)姜震; 景陈勇; 彭长生; 詹永照 ; 基于混合式协同训练的人体动作识别方法及系统, 2020-4-21, 中国, CN201610913531.9 (专利)(10):865-872. (3)姜震; 冯路捷; 陆宇; 毛启容 ; 一种结合半监督聚类的图像场景分类方法及系统, 2020-05-15, 中国, CN202010410756.9 (专利)
三、项目 1. 国家自然科学基金面上项目，61672267，面向大规模视觉语音信号的复杂情感发现与分析方法研究，参与，2020-2023. 2. 江苏省教育厅高校自然科学基金项目，15KJB520006，面向高维小样本的互学习机制的研究，主持， 2015-2018. 3. 中国博士后自然科学基金项目，2014M561585，结合分类与聚类的一种新型学习机制的研究，主持，2014-2017.
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