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张子佳

发布日期:2023-03-18 点击次数:

张子佳,女,1993年5月,工学博士,讲师

Email:zijiazhang@hubu.edu.cn

个人简介:2022年12月毕业于中国地质大学(武汉)获博士学位,2021年8月至2022年8月参加德国亥姆霍兹研究所联合培养博士计划。主要研究方向为:智能优化、机器学习、遥感图像处理等。近年来,在IEEE TSMC、IEEE TGRS、Inf. Sci.、ESWA、NEUC、IEEE JSTARS、ACM TIST等国内外权威期刊和国际会议上发表学术论文17篇(其中SCI一区5篇,二区3篇,高被引论文1篇)。科研成果已经申请国家发明专利3个,授权2个,授权软件著作权4项,并多次学科竞赛获奖。多次担任ESWA、TCVST、KBS、IEEE GRSL等知名国际期刊和国际会议的审稿人。

代表性论文:

1. Z. Zhang, Y. Cai, and W. Gong, "Evolution-Driven Randomized Graph Convolutional Networks," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, pp. 7516-7526, 2022.(第一作者,SCI一区)

2. Z. Zhang, Y. Cai, and W. Gong, "Semi-supervised learning with graph convolutional extreme learning machines," Expert Systems with Applications, vol. 213, p. 119164, 2023.(第一作者,SCI一区)

3. Y. Cai, Z. Zhang, P. Ghamisi, B. Rasti, X. Liu and Z. Cai, "Transformer-based contrastive prototypical clustering for multimodal remote sensing data," Information Sciences, vol. 649, p. 119655, 2023.(通讯作者,SCI一区)

4. Z. Zhang, Y. Cai, W. Gong, P. Ghamisi, X. Liu, and R. Gloaguen, "Hypergraph Convolutional Subspace Clustering with Multi-hop Aggregation for Hyperspectral Image," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 676-686, 2022.(第一作者,SCI三区)

5. Y. Cai, Z. Zhang, Q. Yan, D. Zhang, and M. J. Banu, "Densely connected convolutional extreme learning machine for hyperspectral image classification," Neurocomputing, vol. 434, pp. 21-32, 2021.(通讯作者,SCI二区)

6.Z. Zhang, Y. Cai, W. Gong, X. Liu and Z. Cai, "Graph Convolutional Extreme Learning Machine,"2020 International Joint Conference on Neural Networks (IJCNN), 2020, pp. 1-8.(第一作者,CCF-C类)

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