1、个人基本信息：

姓  名：贺紫平

性  别：女

出生年月：1993年11月

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：数据科学与大数据技术

研究方向：机器学习、深度学习、高光谱图像处理

2、教育背景：

2018.09-2023.01

河北工业大学

工学博士

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

2016.09-2018.09

河北工业大学

硕博连读硕士阶段

2012.09-2016.06

天津城建大学

理学学士

3、目前研究领域：

少样本学习、半监督学习、高光谱图像处理

4、已完成或已在承担的主要课题：

[1] 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”，2021.02-2023.12，10万元，参与

[2] 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”，2018.04-2021.03，10万元，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, 2023, 45 (1), 21-50. (第一作者，SCI)

[2] 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. (第一作者，SCI)

[3] 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. (第一作者，SCI)

[4] 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. (第一作者，SCI)

[5] 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. (第一作者，SCI)

[6] 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. (第一作者，CSCD)

[7] 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, 2023, Accepted. (第一作者，EI)

[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, and Jiangnan Zhang. Unpaired low-dose CT denoising via an improved cycle-consistent adversarial network with attention ensemble[J]. The Visual Computer, 2022, 39: 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.

[12] Yongke Pan, Kewen Xia, Li Wang, and Ziping He. A novel approach to oil layer recognition model using whale optimization algorithm and semi-supervised SVM[J]. Symmetry, 2021, 13(5): 757.

[13] Yongke Pan, Kewen Xia, Wenjia Niu, and Ziping He. Semisupervised SVM by hybrid whale optimization algorithm and its application in oil layer recognition[J]. Mathematical Problems in Engineering, 2021, 2021: 1–19.

[14] Jiangnan Zhang, Kewen Xia, Ziping He, Zhixian Yin, Sijie Wang, and Ahmadian A. Semi-supervised ensemble classifier with improved sparrow search algorithm and its application in pulmonary nodule detection[J]. Mathematical Problems in Engineering, 2021, 2021: 1–18.

[15] Zhixian Yin, Kewen Xia, Ziping He, Jiangnan Zhang, Sijie Wang, and Baokai Zu. Unpaired image denoising via wasserstein GAN in low-dose CT image with multi-perceptual loss and fidelity loss[J]. Symmetry, 2021, 13(1): 126.

[16] Jiangnan Zhang, Kewen Xia, Ziping He, Shurui Fan. Dynamic Multi-Swarm Differential Learning Quantum Bird Swarm Algorithm and Its Application in Random Forest Classification Model[J]. Computational Intelligence and Neuroscience, 2020: 6858541.

[17] Baokai Zu, Kewen Xia, Tiejun Li, Ziping He, Yafang Li, Jiongzhong Hou, and Wei Du. SLIC superpixel-based l2,1-norm robust principal component analysis for hyperspectral image classification[J]. Sensors, 2019, 19(3): 479.

[18] Lan P, Jiangtao Zhang, Kewen Xia, Qiao Zhou, and Ziping He. Research on improvement of stagewise weak orthogonal matching pursuit algorithm[J]. Pattern Recognition and Image Analysis, 2019, 29(4): 613–620.

[19] 潘用科, 贺紫平, 夏克文, 牛文佳. 改进的协同训练半监督SVM在油层识别中的应用[J]. 郑州大学学报(工学版), 2022, 43(1): 14–19.

[20] 牛春彦, 夏克文, 张江楠, 贺紫平. 基于云量子花朵授粉的极限学习机算法[J]. 计算机应用, 2020, 6(40): 1627–1632.

[21] 解敏, 夏克文, 石丽莉, 田芸贺, 贺紫平. 花朵授粉算法及其在断路器优化设计中的应用[J]. 科学技术与工程, 2021, 21(9): 1077–1083.

7、 所获学术荣誉及学术影响：