Dr. ZHANG Cong

Dr. ZHANG Cong

PostDoc in Hong Kong PolyU
✓ Remote Sensing
✓ Artificial Intelligence
✓Computer Vision

Cong Zhang (张聪) is currently a Postdoctoral Fellow at the Institute of Space and Earth Information Science (ISEIS), The Chinese University of Hong Kong (香港中文大学), advised by Prof. Mei-Po Kwan (关美宝). Prior to this, he served as a Postdoctoral Fellow in the Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University (香港理工大学). His research interests include remote sensing, computer vision, image processing, and intelligent transportation.

Cong Zhang obtained his PhD from Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University in 2024, supervised by Prof. Kin-Man Kenneth Lam (林健文). He received MEng in Computer Science and BEng in Communication Engineering from Northwestern Polytechnical University (西北工业大学) in 2021 and 2018, respectively, supervised by Prof. Qi Wang (王琦) and Prof. Xuelong Li (李学龙).

Emails: cong-clarence.zhang@connect.polyu.hk; nwpuzhangcong@gmail.com; polyuzhangcong@gmail.com

📖 Educations

  • 2021.08 - 2024.08   Ph.D. from Department of Electrical and Electronic Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong.
  • 2018.08 - 2021.04   M.Eng. in Computer Science and Technology from School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China.
  • 2014.08 - 2018.07   B.Eng. in Communication Engineering from School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China.

📝 Publications

  • Full Publication List: Google Scholar
  • Selected Journal Papers
    • Cong Zhang, Kin-Man Lam, Tianshan Liu, Yui-Lam Chan, and Qi Wang, “Structured Adversarial Self-Supervised Learning for Robust Object Detection in Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing (IEEE T-GRS), vol. 62, 2024.
    • Cong Zhang, Jingran Su, Yakun Ju, Kin-Man Lam, and Qi Wang, “Efficient Inductive Vision Transformer for Oriented Object Detection in Remote Sensing Imagery,” IEEE Transactions on Geoscience and Remote Sensing (IEEE T-GRS), vol. 61, 2023, ESI Highly Cited Paper.
    • Cong Zhang, Kin-Man Lam, and Qi Wang, “CoF-Net: A Progressive Coarse-to-Fine Framework for Object Detection in Remote-Sensing Imagery,” IEEE Transactions on Geoscience and Remote Sensing (IEEE T-GRS), vol. 61, 2023, ESI Highly Cited Paper.
    • Cong Zhang, Tianshan Liu, Jun Xiao, Kin-Man Lam, and Qi Wang, “Boosting Object Detectors via Strong-Classification Weak-Localization Pretraining in Remote Sensing Imagery,” IEEE Transactions on on Instrumentation and Measurement (IEEE T-IM), vol. 72, 2023.
    • Cong Zhang, Jun Xiao, Cuixin Yang, Jingchun Zhou, Kin-Man Lam, and Qi Wang, “Integrally Mixing Pyramid Representations for Anchor-Free Object Detection in Aerial Imagery,” IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), vol. 21, 2024.
    • Cong Zhang, Qi Wang, and Xuelong Li, “V-LPDR: Towards a Unied Framework for License Plate Detection, Tracking, and Recognition in Real-World Traffic Videos,” Neurocomputing, vol. 449, pp. 189-206, 2021.
    • Jinhao Shen, Cong Zhang, Mingwei Zhang, Qiang Li, and Qi Wang, “Learning Remote Sensing Aleatoric Uncertainty for Semi-Supervised Change Detection,” IEEE Transactions on Geoscience and Remote Sensing (IEEE T-GRS), vol. 62, 2024.
    • Jinhao Shen, Cong Zhang, Yuan Yuan, and Qi Wang, “Enhancing Prospective Consistency for Semi-Supervised Object Detection in Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing (IEEE T-GRS), vol. 61, 2023.
    • Tianshan Liu, Cong Zhang, Kin-Man Lam, and Jun Kong, “Decouple and Resolve: Transformer-Based Models for Online Anomaly Detection From Weakly Labeled Videos,” IEEE Transactions on Information Forensics and Security (IEEE T-IFS), vol. 18, pp. 15-28, 2023.
    • Qi Wang, Xiaocheng Lu, Cong Zhang, Yuan Yuan, and Xuelong Li, “LSV-LP: Large-Scale Video-Based License Plate Detection and Recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI), vol. 45, no. 1, pp. 752-767, 2023.
    • Yakun Ju, Muwei Jian, Cong Wang, Cong Zhang, Junyu Dong, and Kin-Man Lam, “Estimating High-resolution Surface Normals via Lowresolution Photometric Stereo Images,” IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT), vol. 34, no. 4, pp. 2512-2524, 2024, ESI Highly Cited Paper.
    • Yakun Ju, Jun Xiao, Cong Zhang, Hao Xie, Anwei Luo, Huiyu Zhou, Junyu Dong, and Alex Kot, “Towards Marine Snow Removal with Fourier Information,” Information Fusion, vol. 117, pp. 102810, 2024.
    • Jingchun Zhou, Rui Zhou, Zongxin He, Cong Zhang, Qiuping Jiang, Weishi Zhang, and Ferdous Sohel, “Hierarchical Wavelet Decomposition Network for Water-related Optical Image Enhancement,” IEEE Journal of Oceanic Engineering (IEEE J-OE), 2024.
    • Jun Xiao, Qian Ye, Tianshan Liu, Cong Zhang, and Kin-Man Lam, “Deep Progressive Feature Aggregation Network for Multi-frame High Dynamic Range Imaging,” Neurocomputing, vol. 594, pp. 127804, 2024.
  • Selected Conference Papers
    • Jun Xiao, Zihang Lyu, Cong Zhang, Yakun Ju, Changjian Shui, and Kin-Man Lam, “Towards Progressive Multi-Frequency Representation for Image Warping,” in Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2995-3004, 2024.
    • Zihang Lyu, Jun Xiao, Cong Zhang, and Kin-Man Lam, “AI-Generated Image Detection with Wasserstein Distance Compression and Dynamic Aggregation,” in Proc. IEEE International Conference on Image Processing, 2024.
    • Yun Li, Hao Xie, Jun Xiao, Cong Zhang, Tianshan Liu, and Kin-Man Lam, “Hierarchical Vertex-wise Intensification Graph Convolution for Skeleton-based Activity Recognition,” in Proc. IEEE International Conference on Image Processing, 2024.
    • Cong Zhang, Yakun Ju, Jun Xiao, Yuting Yang, and Kin-Man Lam, “Aligning Localization and Classification for Anchor-Free Object Detection in Aerial Imagery,” in Proc. International Workshop on Advanced Image Technology, vol. 13164, pp. 284-289, 2024.
    • Cong Zhang, Tianshan Liu, Yakun Ju, and Kin-Man Lam, “Pyramid Masked Image Modeling for Transformer-Based Aerial Object Detection,” in Proc. IEEE International Conference on Image Processing, pp. 1675-1679, 2023.
    • Yakun Ju, Kin-Man Lam, Jun Xiao, Cong Zhang, Cuixin Yang, and Junyu Dong, “Efficient Feature Fusion for Learning-based Photometric Stereo,” in Proc. IEEE International Conference on Acoustic, Speech and Signal Processing, 2023.
    • Yakun Ju, Cong Zhang, Songsong Huang, Yuan Rao, and Kin-Man Lam, “Learning Deep Photometric Stereo Network with Reflectance Priors,” in Proc. IEEE International Conference on Multimedia and Expo, pp. 2027-2032, 2023.
    • Cong Zhang, Tianshan Liu, and Kin-Man Lam, “Angle Tokenization Guided Multi-Scale Vision Transformer for Oriented Object Detection in Remote Sensing Imagery,” in Proc. IEEE International Geoscience and Remote Sensing Symposium, pp. 3063-3066, 2022.
    • Cong Zhang, Qi Wang, and Xuelong Li, “IQ-STAN: Image Quality Guided Spatio-Temporal Attention Network for License Plate Recognition,” in Proc. IEEE International Conference on Acoustic, Speech and Signal Processing, pp. 2268-2272, 2020.
    • Cong Zhang, Qi Wang, and Xuelong Li, “EQ-LPR: Efficient Quality-aware License Plate Recognition,” in Proc. IEEE International Conference on Image Processing, pp. 653-657, 2020.
    • Cong Zhang, Qi Wang, and Xuelong Li, “A Multi-Task Architecture for Remote Sensing by Joint Scene Classification and Image Quality Assessment,” in Proc. IEEE International Geoscience and Remote Sensing Symposium, pp. 10055-10058, 2019.

💻 Academic Activities

  • Editorial Board Member/Guest Editor
  • Regular Journal Reviewer
    • IEEE Transactions on Image Processing (IEEE T-IP)
    • IEEE Transactions on Geoscience and Remote Sensing (IEEE T-GRS)
    • IEEE Transactions on Cybernetics (IEEE T-CYB)
    • IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE T-SMCA)
    • IEEE Transactions on Multimedia (IEEE T-MM)
    • IEEE Transactions on Industrial Informatics (IEEE T-II)
    • IEEE Transactions on Industrial Electronics (IEEE T-IE)
    • IEEE Transactions on Instrumentation and Measurement (IEEE T-IM)
    • IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT)
    • IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS)
    • IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE T-ETCI)
    • IEEE Transactions on Consumer Electronics (IEEE T-CE)
    • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS)
    • IEEE Geoscience and Remote Sensing Letters (IEEE GRSL)
    • IEEE Intelligent Systems (IEEE IS)
    • IEEE Sensors Journal
    • Computer Vision and Image Understanding (CVIU)
    • Neural Networks (NN)
    • $\cdots$ $\cdots$
  • Conference Reviewer
    • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
    • AAAI Conference on Artificial Intelligence (AAAI)
    • International Joint Conference on Artificial Intelligence (IJCAI)
    • IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
    • IEEE International Conference on Image Processing (ICIP)
    • IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

🎖 Honors and Awards

  • National Scholarship (Top 1%), 2018
  • Outstanding Master Thesis Award (Top 1%), 2021
  • Outstanding Master Graduates of NWPU (Top 5%), 2021
  • Outstanding Graduates of NWPU (Top 5%), 2018
  • Outstanding Undergraduate/Postgraduate Student with the First Prize Scholarship of NWPU, 2015-2020
  • Aviation Manufacturing Scholarship, 2020
  • Social Activity Scholarship, 2020
  • Inspur Scholarship, 2017
  • National Inspirational Scholarship, 2015-2016