About me

Zhaohui Zheng is currently a postdoctoral fellow at the HK PolyU, working on Visual-Language Models and object detection with Prof. Lei Zhang. Before that, he received his Ph.D. from Nankai University in 2025 under the supervision of Prof. Ming-Ming Cheng, and his M.S. degree in computational mathematics from Tianjin University in 2021 under the supervision of Prof. Ping Wang. He received the CCF-CV Academic Emerging Scholar Award in 2023.

Professional Experience

2025 - 202X: Department of Computing - The HK PolyU, Hong Kong, China

2021 - 2025: Computer science - Nankai University, Tianjin, China

2018 - 2021: Computational mathematics - Tianjin University, Tianjin, China

2014 - 2018: Applied mathematics - Zhengzhou University, Zhengzhou, China

Research Interests

My research interests are Visual-Language Models, object detection, instance segmentation, and knowledge distillation.

See my recent publications for more details.

News

• I received the National Scholarship for doctoral students.
• One paper accepted by T-PAMI’24
• One paper accepted by CVPR’24
• I received the CCF-CV Academic Emerging Scholar Award in 2023.
• One paper accepted by ICCV’23
• One paper accepted by T-PAMI’23
• One paper accepted by CVPR’22
• One paper accepted by T-CYB’22
• One paper accepted by AAAI’20

Collaborator

• Ming-Ming Cheng, Nankai University
• Qibin Hou, Nankai University
• Xiang Li, Nankai University
• Chenyu Ming, Nankai University
• Jiabao Wang, Nankai University

• Yuxuan Li, Nankai University

• Jian Yang, Nanjing University of Science and Technology

• Wangmeng Zuo, Harbin Institute of Technology

• Dongwei Ren, Harbin Institute of Technology

• Qinghua Hu, Tianjin University
• Ping Wang, Tianjin University
• Rongguang Ye, Tianjin University

• Wei Liu, Tianjin University

• Jinze Li, People’s Public Security University of China

Journal Publications (Google Scholar)

“*” means authors contributed equally and “#” means corresponding author.

Zone Evaluation: Revealing Spatial Bias in Object Detection

Zhaohui Zheng, Yuming Chen, Qibin Hou#, Xiang Li, Ping Wang, Ming-Ming Cheng

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024

[Arxiv] [Code]

Localization distillation for object detection

Zhaohui Zheng, Rongguang Ye, Qibin Hou#, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

[Arxiv] [Code]

Enhancing geometric factors in model learning and inference for object detection and instance segmentation

Zhaohui Zheng, Ping Wang, Dongwei Ren#, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo

IEEE Transactions on Cybernetics (TCYB), 2022

[Arxiv] [Code] ESI Highly Cited Paper

Conference Publications (Google Scholar)

Distance-IoU loss: Faster and better learning for bounding box regression

Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, Dongwei Ren#

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020

[Arxiv] [Code] Most influential AAAI 2020 paper, Top-2 [Paper digest]

Localization distillation for dense object detection

Zhaohui Zheng*, Rongguang Ye*, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou#, Ming-Ming Cheng

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022

[Arxiv] [Code]

CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection

Jiabao Wang*, Yuming Chen*, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou#

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

[Arxiv] [Code]

Large selective kernel network for remote sensing object detection

Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang#, Xiang Li#

IEEE International Conference on Computer Vision (ICCV), 2023

[Arxiv] [Code]

Preprint

Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection

Xinbin Yuan, ZhaoHui Zheng, Yuxuan Li, Xialei Liu, Li Liu, Xiang Li, Qibin Hou#, Ming-Ming Cheng#

[Arxiv 2025.01] [Code]

Academic Services

• Reviewers for TPAMI/CVPR/NeurIPS/ICML/ICLR etc.

Honors and Awards

• CCF-CV Academic Emerging Scholar Award, 2023.
• National Scholarship for doctoral students, 2024.