Zhongcheng Wu
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吴忠诚,博士,2025年6月获电子科技大学数学专业博士学位,同年7月入职合肥工业大学仪器科学与光电工程学院。主要研究方向为高维数据分析与数字图像处理,重点关注张量/深度学习、低秩/稀疏表示及其在高维信号复原和信息融合中的应用,并探索高效数值算法及其理论分析。近五年参与国家自然科学基金面上、青年项目及四川省重点、面上项目多项,在IEEE TIP/TGRS/JSTARS/GRSL、Inf. Fusion、Inverse Probl. Imaging、NeurIPS等国际权威期刊及顶级学术会议上发表论文10余篇,2篇入选ESI高被引论文。

个人主页:https://zhongchengwu.github.io

谷歌学术主页:https://scholar.google.com/citations?user=8bOvaUcAAAAJ

欢迎对相关研究方向感兴趣的师生联系交流,联系邮箱:zhongcheng.wu@hfut.edu.cn


近期论文

[1] Zhong-Cheng Wu, Gemine Vivone*, Ting-Zhu Huang*, Liang-Jian Deng. Pansharpening via semi-framelet-guided sparse reconstruction[J]. Information Fusion, 2024.

[2] Zhong-Cheng Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Jie Huang, Jocelyn Chanussot, Gemine Vivone. LRTCFPan: Low-rank tensor completion based framework for pansharpening[J]. IEEE Transactions on Image Processing, 2023.

[3] Zhong-Cheng Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Hong-Xia Dou, Deyu Meng. Tensor wheel decomposition and its tensor completion application[C]. NeurIPS 2022.

[4] Zhong-Cheng Wu, Ya-Jun Li, Ting-Zhu Huang*, Liang-Jian Deng*, Gemine Vivone. CroDoSR: Tensor cross-domain rank for hyperspectral image super-resolution[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024.

[5] Zhong-Cheng Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Jin-Fan Hu, Gemine Vivone. VO+Net: An adaptive approach using variational optimization and deep learning for panchromatic sharpening[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022.

[6] Zhong-Cheng Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Gemine Vivone. A framelet sparse reconstruction method for pansharpening with guaranteed convergence[J]. Inverse Problems and Imaging, 2023.

  • Educational Experience
  • Work Experience
2021-9 | 2025-6
  • 电子科技大学
  • Mathematics
  • Postgraduate (Doctoral)
  • Doctoral Degree in Science

2023-9 | 2024-9
  • 意大利国家研究委员会(CNR)公派联培
  • Signal and Information Processing

  • Social Affiliations
  • Research Focus
Personal information

Lecturer

Date of Employment:2025-07-11

School/Department:生物医学工程系

Education Level:Postgraduate (Doctoral)

Business Address:科技楼612

Gender:Male

Contact Information:zhongcheng.wu@hfut.edu.cn

Degree:Doctoral Degree in Science

Status:Employed

Alma Mater:电子科技大学

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