Welcome to my academic homepage. I am Xu Zhang, a Ph.D. candidate at Wuhan University (WHU) @Sigma advised by Prof. Lefei Zhang and Prof. Bo Du. Before that, I obtained a M.Eng degree from Guangdong University of Technology (GDUT) advised by Dr. Huan Zhang and Prof. Nian Cai. I’m fortunate to work closely with Prof. Weisi Lin from NTU. My research interests include:

  • Low-level Vision Perception: All-in-One image restoration, Image/Video quality assessment
  • Multimodal Learning: Text-to-Image generation, Diffusion model

📧 I am open to collaboration and welcome inquiries from anyone interested in my research. Please feel free to concat.

📱 Contact

  • WeChat: ZhangXu_0802
  • Email: zhangx0802@whu.edu.cn

🔥 News

  • 2025.04: 🎉 One paper accepted by TIP’25!

📝 Publications

(* equal contribution, # corresponding author)

Under Review
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ClearAIR: A Human-Visual-Perception-Inspired All-in-One Image Restoration

Xu Zhang, Huan Zhang, Guoli Wang, Qian Zhang, Lefei Zhang, Bo Du.

PDF | Project

TIP 2025
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Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration

Xu Zhang*, Jiaqi Ma*, Guoli Wang, Qian Zhang, Huan Zhang, Lefei Zhang.

PDF | Project

Under Review
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UniUIR: Considering Underwater Image Restoration as An All-in-One Learner

Xu Zhang, Huan Zhang, Guoli Wang, Qian Zhang, Lefei Zhang, Bo Du.

PDF | Project

Under Review
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Joint Multi-dimensional Dynamic Attention and Transformer for General Image Restoration

Huan Zhang, Xu Zhang#, Nian Cai#, Jianglei Di, Yun Zhang

PDF | Code

TCSVT 2023
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  • Texture and Structural Distortion Metric based on Dual-Tree Complex Wavelet Transform for DIBR-synthesized Image Quality Assessment. Digital Signal Processing 2025.
    Huan Zhang, Zhijun Xiong, Xu Zhang, Jiangzhong Cao, Yun Zhang
  • Enhancing 3D video watching experiences: Tackling compression and 3D warping distortions in synthesized view with perceptual guidance. Expert Systems with Applications 2025.
    Huan Zhang, Xu Zhang, Linwei Zhu, Yun Zhang, Jiangzhong Cao, Wing-Kuen Ling
  • Unveiling the underwater world: CLIP perception model-guided underwater image enhancement. Pattern Recognition 2025.
    Jiangzhong Cao, Zekai Zeng, Xu Zhang, Huan Zhang, Chunling Fan, Gangyi Jiang, Weisi Lin
  • A deep learning framework for the joint prediction of the SOH and RUL of lithium-ion batteries based on bimodal images. Energy 2024.
    Nian Cai, Xiaoping Que, Xu Zhang, Weiguo Feng, Yinghong Zhou

💬 Academic Service

  • Conference Reviewer: ACMMM 2025, ICLR 2024/2025.
  • Journal Reviewer: TIP, TNNLS, TCSVT, TMM, TGRS, GRSL.