Welcome to my academic homepage! I am Laibin Chang, a Ph.D. candidate in Software Engineering at Wuhan University (WHU). I am currently affiliated with the SIGMA Lab, supervised by Prof. Bo Du and Prof. Prof. Chang Xu. Before that, I obtained my M.Eng. and B.Eng. degrees in Information and Communication Engineering and Electronic Information Engineering from China University of Petroleum (East China), advised by Assoc. Prof. Huajun Song and Prof. Peng Ren.

My research focuses on computer vision and intelligent information processing, with an emphasis on challenging low-quality and complex environments. I work on underwater visual perception, image enhancement, image segmentation, and salient object detection. I actively collaborate with Dr. Yunke Wang, Dr. Xu Zhang, Dr. Hao Wang, and several other researchers in the field.

My research interests include:

• Low-level Vision: Underwater image restoration; Low-light enhancement; Diffusion-based restoration;

• Image Segmentation & Recognition: Fine-grained segmentation; Marine saliency detection;

• Multimodal Learning: Cross-modal feature fusion; Prompt-based segmentation;

📬 I am open to collaboration and welcome inquiries from anyone interested in my research. Please feel free to contact me.

📝 Publications

1. Huajun Song, Laibin Chang, Ziwei Chen, and Peng Ren. Enhancement-Registration-Homogenization (ERH): A comprehensive underwater visual reconstruction paradigm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.

2. Laibin Chang, Yunke Wang, Longxiang Deng, Bo Du, and Chang Xu. WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration. AAAI Conference on Artificial Intelligence, 2025.

3. Laibin Chang, Yunke Wang, Bo Du, and Chang Xu. Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration. IEEE Transactions on Multimedia, 2025.

4. Laibin Chang, Yunke Wang, Bo Du, and Chang Xu. Rectangling and enhancing underwater stitched image via content-aware warping and perception balancing. Neural Networks, 2024.

5. Laibin Chang, Yunke Wang, Shaodong Wang, Xi Chen, Bo Du, and Chang Xu. Beyond Fixed Pseudo-Labels: Adversarial Teacher–Student Learning for Unsupervised Camouflaged Object Detection. 2025.（Under Review）

6. Laibin Chang, Yunke Wang, Kui Jiang, Shaodong Wang, and Bo Du. From Visibility to Detection: Saliency-Guided Underwater Image Restoration with Hierarchical Dual-Branch Refinement. 2025.（Under Review）

🎖 Honors and Awards

• 2025.10 National Scholarship for Graduate Students, Ministry of Education.
• 2025.10 Outstanding Graduate Student of Wuhan University.
• 2024.11 Outstanding Master’s Thesis of Shandong Province.
• 2022.12 Graduate Innovation Achievement Award of Shandong Province.
• 2019.08 First Prize, National Electronic Design Competition.
• …

📖 Educations

• 2023.09 – now, Ph.D. in Software Engineering, Wuhan University (WHU), Wuhan, China.
• 2020.09 – 2023.06, M.Eng. in Information and Communication Engineering, China University of Petroleum (UPC), Qingdao, China.
• 2016.09 – 2020.06, B.Eng. in Electronic Information Engineering, China University of Petroleum (UPC), Qingdao, China.

💬 Academic Service

• Conference Reviewer: CVPR 2026/2025, ICCV 2025, AAAI 2026/2025, ACM MM 2025.
• Journal Reviewer: IJCV, TMM, TCSVT, TGRS, ISPRS PR, NN, Neurocomputing, etc.

📞 Contact

• Email: changlb666@whu.edu.cn
• WeChat: changlb666