Zhangfan头像

Zhangfan

Professor  

Department: Institute of Remote Sensing Technology Field:

Email: zhangf [AT] buct.edu.cn Office:

ORCID: 0000-0002-2058-2373 DBLP: https://dblp.org/pid/21/3626-7.html

10 Visits

Introduction

Fan Zhang, Professor, Doctoral Supervisor, Vice Dean of College of Information Technology, also member of Beijing University of Chemical Technology Degree Evaluation Committee, Director of Institute of Remote Sensing Technology.

He graduated from Institute of Electronics, Chinese Academy of Sciences in 2008, majoring in Signal and Information Processing, and received Ph.D. degree, worked in Beijing University of Chemical Technology (BUCT) since post-doctoral termination from Chinese Academy of Sciences (CAS) in 2010. As a visiting scholar to the University of Illinois at Urbana-Champaign, USA, and the Technische Universität Dresden, Germany, for visiting research in 2014 and 2017.

Email:  zhangf[AT]mail.buct.edu.cn


Education

Work Experience

Social Position

Social Activities

Research

Areas of Research of Expertise

  • Synthetic Aperture Radar (SAR) signal processing, SAR image interpretation, high performance computing, etc.

  • SAR/optical remote sensing image processing, artificial intelligence, etc.


Teaching

  • Signals and Systems

  • CUDA Parallel Computing

  • Introduction to Artificial Intelligence, etc


Postgraduates

Funding

Funded Research Projects

The National Natural Science Foundation of China:

  •  Research on unbiased detection of SAR targets based on deep long-tail learnin(National Natural Science Foundation of China)

  •  Multi-angle SAR Target Recognition Based on Deep Recursive Learning in Resource-Constrained Environment(National Natural Science Foundation of China)

  •  Mixed-Granularity Parallel Simulation of Multi-Dimensional SAR Echo Driven by Irregular Problems(National Natural Science Foundation of China)


Vertical Project

Horizontal Project

Publications

  1. Zhao Q, Dai Y, Li H, Hu W, Zhang F*, Liu J. LTGC: Long-Tail Recognition via Leveraging Generated Content. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. oralCCF-A

  2. Zhang F, Sun X, Ma F*, Yin Q. Superpixelwise likelihood ratio test statistic for PolSAR data and its application to built-up area extraction. ISPRS Journal of Photogrammetry and Remote Sensing, 2024.【ESI Highly Cited】

  3. Liu Y, Yan G, Ma F, Zhou Y, Zhang F*. SAR Ship Detection Based on Explainable Evidence Learning under Intra-class Imbalance[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024. 【ESI Highly Cited】

  4. Ma F, Sun X, Zhang F*, et al. What Catch Your Attention in SAR Images: Saliency Detection Based on
    Soft-Superpixel Lacunarity Cue [J]. 
    IEEE Transactions on Geoscience and Remote Sensing, 2023. 【ESI Highly Cited】

  5. Ma F, Zhang F*, Xiang D, et al. Fast Task-Specific Region Merging for SAR Image Segmentation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022. 【ESI Highly Cited】

  6. Zhao Q, Jiang C, Hu W, Zhang F*, Liu J. MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition. IEEE/CVF International Conference on Computer Vision (ICCV), 2023. CCF-A

  7. Zhao Q, Zhang F*, Hu W, Feng S, Liu J. OHD: An Online Category-aware Framework for Learning with Noisy Labels under Long-Tailed Distribution. IEEE Transactions on Circuits and Systems for Video Technology, 2023.

  8. Cheng J, Xiang D, Yin Q, Zhang F*. A Novel Crop Classification Method Based on the Tensor-GCN for Time-Series PolSAR Data  [J]. IEEE Transactions on Geoscience and Remote Sensing, 2022.

  9. Ni J, Zhang F*, Yin Q, et al. Random neighbor pixel-block-based deep recurrent learning for polarimetric SAR image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021.

  10. 王 璐张 帆*, 李 伟谢晓明胡 伟基于Gabor滤波器和局部纹理特征提取的SAR目标识别算法雷达学报, 2015, 4(6), 658-665. 【Highly Cited】





Awards

He has received/has been awarded the Beijing Natural Science Award (Second Class), the China Petroleum Education Society Teaching Achievement Award (First Class), the national championship in the remote sensing image interpretation competition, the Beijing University of Chemical Technology Young Teaching Master Award, and honors such as Excellent Communist Party Member/Excellent Teacher/Excellent Class Advisor/Excellent Young Lecturer/Excellent Graduate Student Supervisor/Educate-Through-ideology Mentoring Team at Beijing University of Chemical Technology.

Patent

Honor Reward

Admissions Information