1、個(gè)人基本信息：

姓  名：賀紫平

性  別：女

出生年月：1993.11

技術(shù)職稱：講師

畢業(yè)院校：河北工業(yè)大學(xué)

學(xué)歷（學(xué)位）：博士

所在學(xué)科：計(jì)算機(jī)科學(xué)與技術(shù)

研究方向：深度學(xué)習(xí)、機(jī)器學(xué)習(xí)、遙感圖像處理

2、教育背景：

2012.09----2016.06

天津城建大學(xué)

學(xué)士

2016.09----2018.09

河北工業(yè)大學(xué)

碩博連讀碩士階段

2021.10----2022.11

德國亥姆霍茲德累斯頓羅森多夫研究中心HZDR

國家公派聯(lián)培博士

2018.09----2023.01

河北工業(yè)大學(xué)

博士

3、 目前研究領(lǐng)域：

深度學(xué)習(xí)、機(jī)器學(xué)習(xí)、遙感圖像處理

4、已完成或已在承擔(dān)的主要課題：

1、湖南省自然科學(xué)基金面上項(xiàng)目，2024JJ5043，區(qū)塊鏈系統(tǒng)多場景可驗(yàn)證索引研究，2024/01-2026/12，參與

2、河北省自然科學(xué)基金項(xiàng)目，E2021202179，面向測井大數(shù)據(jù)的智能挖掘方法研究，2021/02-2023/12，已結(jié)題，參與

3、天津市自然科學(xué)基金項(xiàng)目，18JCYBJC16500，CT 圖像肺結(jié)節(jié)智能檢測技術(shù)研究，2018.04-2021.03，已結(jié)題，參與

4、河北省自然科學(xué)基金項(xiàng)目，E2016202341，海量復(fù)雜測井智能數(shù)據(jù)挖掘技術(shù)研究，2016.01-2018.12，已結(jié)題，參與

6、已發(fā)表的學(xué)術(shù)論文：

[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] 賀紫平, 夏克文, 潘用科, 王莉. 分支定界半監(jiān)督SVM在油層識別中的應(yīng)用[J]. 重慶郵電大學(xué)學(xué)報(bào)(自然科學(xué)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、 所獲學(xué)術(shù)榮譽(yù)及學(xué)術(shù)影響：