1、个人基本信息：

姓  名：贺紫平

性  别：女

出生年月：1993.11

技术职称：讲师

毕业院校：河北工业大学

学历（学位）：博士

所在学科：计算机科学与技术

研究方向：深度学习、机器学习、遥感图像处理

2、教育背景：

2012.09----2016.06

天津城建大学

学士

2016.09----2018.09

河北工业大学

硕博连读硕士阶段

2021.10----2022.11

德国亥姆霍兹德累斯顿罗森多夫研究中心HZDR

国家公派联培博士

2018.09----2023.01

河北工业大学

博士

3、 目前研究领域：

深度学习、机器学习、遥感图像处理

4、已完成或已在承担的主要课题：

1、湖南省自然科学基金面上项目，2024JJ5043，区块链系统多场景可验证索引研究，2024/01-2026/12，参与

2、河北省自然科学基金项目，E2021202179，面向测井大数据的智能挖掘方法研究，2021/02-2023/12，已结题，参与

3、天津市自然科学基金项目，18JCYBJC16500，CT 图像肺结节智能检测技术研究，2018.04-2021.03，已结题，参与

4、河北省自然科学基金项目，E2016202341，海量复杂测井智能数据挖掘技术研究，2016.01-2018.12，已结题，参与

6、已发表的学术论文：

[1] Ziping He, Qianglin Zhu, Kewen Xia, Pedram Ghamisi, and Baokai Zu. Semi-supervised Hierarchical Transformer for Hyperspectral Image Classification[J]. International Journal of Remote Sensing, 2024, 45(1): 21-50.

[2] Ziping He, Kewen Xia, Jiangnan Zhang, Sijie Wang, and Zhixian Yin. An Enhanced Semi-Supervised Support Vector Machine Algorithm for Spectral-Spatial Hyperspectral Image Classification[J]. Pattern Recognition and Image Analysis, 2024, 34(1): 199-211.

[3] Ziping He, Kewen Xia, Pedram Ghamisi, Yuhen Hu, Shurui Fan, and Baokai Zu. HyperViTGAN: Semi-supervised Generative Adversarial Network with Transformer for Hyperspectral Image Classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 6053-6068.

[4] Ziping He, Kewen Xia, Yuhen Hu, Zhixian Yin, Sijie Wang, and Jiangnan Zhang. Semi-supervised anchor graph ensemble for large-scale hyperspectral image classification[J]. International Journal of Remote Sensing, 2022, 43(5): 1894–1918.

[5] Ziping He, Kewen Xia, Tiejun Li, Baokai Zu, Zhixian Yin, and Jiangnan Zhang. A constrained graph-based semi-supervised algorithm combined with particle cooperation and competition for hyperspectral image classification[J]. Remote Sensing, 2021, 13(2): 193.

[6] Ziping He, Kewen Xia, Wenjia Niu, Nelofar Aslam, and Jingzhong Hou. Semisupervised SVM based on cuckoo search algorithm and its application[J]. Mathematical Problems in Engineering, 2018, 2018: 1–13.

[7] 贺紫平, 夏克文, 潘用科, 王莉. 分支定界半监督SVM在油层识别中的应用[J]. 重庆邮电大学学报(自然科学版), 2019, 31(4): 141-148.

[8] Baokai Zu, Yafang Li, Jianqiang Li, Ziping He, Hongyuan Wang, and Panpan Wu, Cascaded Convolution-Based Transformer With Densely Connected Mechanism for Spectral–Spatial Hyperspectral Image Classification[J] IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-19.

[9] Baokai Zu, Hongyuan Wang, Jianqiang Li, Ziping He, Yafang Li, and Zhixian Yin. Weighted residual self-attention graph-based transformer for spectral–spatial hyperspectral image classification[J]. International Journal of Remote Sensing, 2023, 44(3): 852-877.

[10] Zhixian Yin, Kewen Xia, Sijie Wang, Ziping He, Jiangnan Zhang, and Baokai Zu. Unpaired low-dose CT denoising via an improved cycle-consistent adversarial network with attention ensemble[J]. The Visual Computer, 2023, 39(10): 4423-4444.

[11] Sijie Wang, Kewen Xia, Li Wang, Zhixian Yin, Ziping He, Jiangnan Zhang, and Naila Aslam. Low-rank matrix factorization with nonconvex regularization and bilinear decomposition[J]. Signal Processing, 2022: 108694.

7、 所获学术荣誉及学术影响：