I am currently a postdoctoral researcher at Wuhan University of Science and Technology, working with Prof. Xin Xu. I received my Ph.D. degree from Wuhan University of Technology in June 2025, advised by Prof. Jingling Yuan. I was also a visiting Ph.D. student at Singapore Management University (SMU), supervised by Assoc. Prof. Shengfeng He.

My research interests include computer vision, object counting, crowd counting, multimodal learning, and vision-language models. I have published papers in top conferences and journals, including ECCV, ACM MM, TIP, TMM, IJCV, and TCSVT. [Google Scholar]

If you are interested in academic cooperation on object counting, crowd analysis, multimodal learning, or vision-language models, please feel free to contact me by email.

🔥 News

• 2026: One co-authored paper is accepted by IEEE TCSVT.
• 2025.06: I received my Ph.D. degree from Wuhan University of Technology.
• 2025: One co-authored paper is accepted by IJCV.
• 2025: One co-authored paper is accepted by NeurIPS 2025 Spotlight.
• 2025: One paper is accepted by IEEE TIP.
• 2025: One co-authored paper is accepted by ICASSP 2025.
• 2024: One co-authored paper is accepted by ACM MM 2024.
• 2024: Two papers are accepted by ECCV 2024.

📝 Publications

Recent Publications

• RegenTrack: Distance-Adaptive Regeneration Pool Matching for Drone-Based Crowd Tracking
  Y. Lei, K. Zhou, J. Yuan, H. Zhu, J. Wang, X. Zhong
  IEEE Transactions on Circuits and Systems for Video Technology, 2026.

• Clothing Purification with Causality Meets Vision-Language Pretraining Models
  Z. Yang, H. Zhu, N. Lei, B. Fernando, Z. Wang
  International Journal of Computer Vision, 2025.

• Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection
  Y. Guo, S. He, Y. Lu, H. An, Y. Tao, H. Zhu, J. Liu, Y. Fang
  Annual Conference on Neural Information Processing Systems (NeurIPS Spotlight), 2025.

• Multi-granularity Distribution Alignment for Cross-domain Crowd Counting
  X. Zhong, L. Qiu, H. Zhu, J. Yuan, S. He, Z. Wang
  IEEE Transactions on Image Processing, 2025.

• Expanding Zero-Shot Object Counting with Rich Prompts
  H. Zhu, S. Li, J. Yuan, Z. Yang, Y. Guo, W. Liu, X. Zhong, S. He
  arXiv preprint arXiv:2505.15398, 2025.

• Synergistic Integration of Cross-spatial Learning for Lightweight Crack Detection
  S. Li, J. Yuan, H. Zhu, X. Zhong
  IEEE International Conference on Acoustics, Speech and Signal Processing, 2025.

• FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting
  H. Zhu, J. Yuan, Z. Yang, Y. Guo, X. Zhong, S. He
  arXiv preprint arXiv:2502.10877, 2025.

• DenseTrack: Drone-based Crowd Tracking via Density-aware Motion-appearance Synergy
  Y. Lei, H. Zhu, J. Yuan, G. Xiang, X. Zhong, S. He
  ACM International Conference on Multimedia, 2024.

• OneRestore: A Universal Restoration Framework for Composite Degradation
  Y. Guo, Y. Gao, Y. Lu, H. Zhu, R. W. Liu, S. He
  European Conference on Computer Vision, 2024.

• Zero-shot Object Counting with Good Exemplars [Code]
  H. Zhu, J. Yuan, Z. Yang, Y. Guo, Z. Wang, X. Zhong, S. He
  European Conference on Computer Vision, 2024.

💻 Research Experience

• 2025.07 - Present: Postdoctoral Researcher, Wuhan University of Science and Technology, Wuhan, China.
  Supervisor: Prof. Xin Xu.

• 2023.11 - 2024.11: Visiting Ph.D. Student, Singapore Management University, Singapore.
  Supervisor: Assoc. Prof. Shengfeng He.