賀紫平
發(fā)布時間: 2023-10-30 13:47:36 瀏覽量:
長沙理工大學(xué)計算機學(xué)院研究生導(dǎo)師基本信息表 |
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1、個人基本信息: |
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姓 名:賀紫平 |
性 別:女 |
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出生年月:1993.11 |
技術(shù)職稱:講師 |
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畢業(yè)院校:河北工業(yè)大學(xué) |
學(xué)歷(學(xué)位):博士 |
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所在學(xué)科:計算機科學(xué)與技術(shù) |
研究方向:深度學(xué)習(xí)、機器學(xué)習(xí)、遙感圖像處理 |
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2、教育背景: |
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天津城建大學(xué) |
學(xué)士 |
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2016.09----2018.09 |
河北工業(yè)大學(xué) |
碩博連讀碩士階段 |
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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 |
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2018.09----2023.01 |
河北工業(yè)大學(xué) |
博士 |
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3、 目前研究領(lǐng)域: |
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深度學(xué)習(xí)、機器學(xué)習(xí)、遙感圖像處理 |
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4、已完成或已在承擔(dān)的主要課題: |
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1、湖南省自然科學(xué)基金面上項目,2024JJ5043,區(qū)塊鏈系統(tǒng)多場景可驗證索引研究,2024/01-2026/12,參與 2、河北省自然科學(xué)基金項目,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 |
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6、已發(fā)表的學(xué)術(shù)論文: |
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[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(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. |
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7、 所獲學(xué)術(shù)榮譽及學(xué)術(shù)影響: |
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