张赞,博士,合肥工业大学副教授,硕士生导师。研究方向:人工智能、机器学习、数据挖掘。
主持和参加的科研项目如下:
1.主持国家自然科学基金青年项目"基于因果作用估计的网络节点分类方法研究",项目编号:61906059。
2.主持中国博士后科学基金面上项目"面向网络数据的个性化多标签分类方法研究",项目编号:2019M662141。
3.主持合肥工业大学学术新人提升计划B项目"偏标记特征选择研究",项目编号:JZ2023HGTB0270。
4.参加国家自然科学基金面上项目"基于用户偏好特征挖掘和多模态协同知识图谱的多媒体推荐",项目编号:62272143。
5.参加国家自然科学基金面上项目"面向小目标检测的多任务深度网络及其若干关键问题研究",项目编号:61976079。
教学获奖:
1.2021年获合肥工业大学青年教师教学基本功比赛一等奖。
2.2023年获合肥工业大学教师教学创新大赛三等奖。
关于招生:
目前指导研究生7人,欢迎对人工智能和机器学习感兴趣的同学加入!(联系邮箱:zanzhang@hfut.edu.cn)
近年代表性论文:
[1] Zan Zhang, Jialu Yao, Lin Liu, Jiuyong Li, Lei Li, and Xindong Wu. Partial Label Feature Selection: An Adaptive Approach[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(8): 4178-4191, 2024. (CCF A类期刊,JCR分区Q1,影响因子8.9)
[2] Zan Zhang, Jialin Zhou, Jialu Yao, Lin Liu, Jiuyong Li, Lei Li, Xindong Wu. Learning Label-Specific Features for Multi-Dimensional Classification[J]. Pattern Recognition, 2025, in press. (CCF B类期刊,JCR分区Q1,影响因子7.5)
[3] Zan Zhang, Zhe Zhang, Jialu Yao, Lin Liu, Jiuyong Li, Gongqing Wu, and Xindong Wu. Multi-Label Feature Selection via Adaptive Label Correlation Estimation[J]. ACM Transactions on Knowledge Discovery from Data (TKDD), 17, 9, Article 134, 28 pages, 2023. (CCF B类期刊,JCR分区Q1,影响因子4.157)
[4] Zan Zhang, Lin Liu, Jiuyong Li, and Xindong Wu. Integrating Global and Local Feature Selection for Multi-label Learning[J]. ACM Transactions on Knowledge Discovery from Data (TKDD), 17, 1, Article 4, 37 pages, 2023. (CCF B类期刊,JCR分区Q1,影响因子4.157)
[5] Xingrui Zhuo, Gongqing Wu, Zan Zhang, and Xindong Wu. Geometric-Contextual Mutual Infomax Path Aggregation for Relation Reasoning on Knowledge Graph[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(7): 3076-3090,2024. (CCF A类期刊,JCR分区Q1,影响因子8.9)
[6] Zan Zhang, Jialin Zhou. Multi-dimensional Classification via Global and Local Label Correlation[C]. In: Proceedings of the International Conference on Advanced Data Mining and Applications, 2024, pp. 97–111.
[7] Xiaohan Xu, Hao Wang, Jialu Yao, Zan Zhang. Learning Embedded Label-Specific Features for Partial Multi-Label Learning[J]. Pattern Recognition, 2025, in press. (CCF B类期刊,JCR分区Q1,影响因子7.5)
[8] Lei Li, Zhiyuan Liu, Zan Zhang, Huanhuan Chen, and Xindong Wu. Three-way Preference Completion via Preference Graph[J]. ACM Transactions on Knowledge Discovery from Data (TKDD), 17, 6, Article 39, 19 pages, 2023. (CCF B类期刊,JCR分区Q1,影响因子4.157)
[9] Bingbing Dong, Zan Zhang, Jiao Li, Yi Zhu, Chenyang Bu, and Xindong Wu. Hypernode: Entity Fusion for Data Traceability and Link Prediction[C]. In: Proceedings of 22nd IEEE International Conference on Data Mining (ICDM’22), Orlando, FL, USA, 2022, pp. 111-120. (CCF B类会议)
[10] Shaojing Sheng, Zan Zhang, Peng Zhou, Xindong Wu. An effective algorithm for genealogical graph partitioning[J]. Applied Intelligence, 54: 1798-1817, 2024. (CCF C类期刊,JCR分区Q2,影响因子5.3)
[1] 2015.9-2017.8
澳大利亚南澳大学 | 计算机科学与技术 国家公派联合培养博士
[2] 2013.9-2018.6
合肥工业大学 | 计算机软件与理论 | 博士学位 | 研究生(博士)毕业