Laibin Chang

Laibin Chang

Wuhan University

👋 About Me

Welcome to my academic homepage! I am Laibin Chang (常来宾), currently an Associate Professor at the School of Computer and Artificial Intelligence, Zhengzhou University (ZZU), where I work closely with Prof. Mingliang Xu (徐明亮). I received my Ph.D. degree in Software Engineering from the School of Computer Science, Wuhan University (WHU), where I was affiliated with the SIGMA Lab, supervised by Prof. Bo Du (杜博) and Prof.Chang Xu (徐畅). Before that, I received my M.Eng. degree in Information and Communication Engineering and my B.Eng. degree in Electronic Information Engineering from China University of Petroleum (East China). During this period, I was advised by Assoc. Prof. Huajun Song (宋华军) and Prof. Peng Ren (任鹏).

🔍 Research Interests

My research focuses on Computer Vision and Intelligent Information Processing, with a particular emphasis on challenging low-quality and complex environments. My work aims to bridge the gap between low-level image restoration and high-level semantic perception through cross-task coupled optimization.

  • Low-level Vision: Underwater image restoration/enhancement, low-light enhancement, and adverse weather removal.
  • Perception & Segmentation: Underwater salient object detection (USOD) and camouflaged object detection (COD).
  • Multimodal Learning: Cross-modal feature fusion and prompt-based segmentation.

🤝 Collaboration

I actively collaborate with Kui Jiang, Yunke Wang, Xu Zhang, Weidong Zhang, and other researchers in the community.

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

📞 Contact

📝 Publications

  1. Laibin Chang, Yunke Wang, Jiaxing Huang, Longxiang Deng, Bo Du, and Chang Xu. Marine Saliency Segmenter: Object-Focused Conditional Diffusion with Region-Level Semantic Knowledge Distillation. IEEE Transactions on Image Processing (TIP), 2026. (CCF A, Core A*, IF=15.3)

  2. 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 (TMM), 2025. (CCF A, Core A*, IF=9.9)

  3. 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 (AAAI), 2025. (CCF A, Core A*)

  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 (NN) 2024. (CCF B, Core A*, IF=7.2)

  5. Laibin Chang, Huajun Song, Mingjie Li, and Ming Xiang. UIDEF: A real-world underwater image dataset and a color-contrast complementary image enhancement framework. ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS), 2023. (Core A*, IF=12.9)

  6. Huajun Song, Laibin Chang*, Hao Wang, and Peng Ren. Dual-model: Revised imaging network and visual perception correction for underwater image enhancement. Engineering Applications of Artificial Intelligence (EAAI), 2023. (Core A*, IF=9.0)

  7. 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 (TPAMI), 2022. (CCF A, Core A*, IF=20.4)

  8. Ziqi Wang, Xu Zhang, Laibin Chang, Shi Chen, Jiaqi Ma, and Huan Zhang. InterLight: Leveraging Intrinsic Illumination Priors for Low-Light Image Enhancement. International Joint Conferences on Artificial Intelligence, (IJCAI), 2026. (CCF B, Core A*)

  9. Hao Wang, Shixin Sun, Laibin Chang, Huanyu Li, Wenwen Zhang, Alejandro C Frery, and Peng Ren. INSPIRATION: A reinforcement learning-based human visual perception-driven image enhancement paradigm for underwater scenes. Engineering Applications of Artificial Intelligence (EAAI), 2024. (Core A*, IF=9.0)

  10. Hang Sun, Zhiming Luo, Dong Ren, Bo Du, Laibin Chang, and Jun Wan. Unsupervised multi-branch network with high-frequency enhancement for image dehazing. Pattern Recognition, (PR), 2024. (Core A*, IF=9.1)

  11. Laibin Chang, Yunke Wang, Xu Zhang, Kui Jiang, Chang Xu, and Bo Du. SADA-IR: Learning Semantic-Adaptive and Degradation-Aware Priors for Multi-Weather Image Restoration. 2025. (Under Review)

  12. Laibin Chang, Shaodong Wang, Yunke Wang, Xu Zhang, Kui Jiang, Chang Xu, and Bo Du. UniV2D: Bridging Visual Restoration and Semantic Perception for Underwater Salient Object Detection. 2026. (Under Review)

🏆 Honors and Awards

  • 2026.06 Outstanding Graduate, Wuhan University.（武汉大学优秀毕业生）
  • 2025.10 National Scholarship for Doctoral Students, Ministry of Education. （博士研究生国家奖学金）
  • 2025.10 Outstanding Graduate Student, Wuhan University.（武汉大学优秀研究生）
  • 2024.11 Outstanding Master’s Thesis, Shandong Province.（山东省优秀硕士学位论文）
  • 2023.06 Outstanding Graduate, Shandong Province.（山东省优秀硕士毕业生）
  • 2022.12 Graduate Innovation Achievement Award, Shandong Province.（山东省研究生学术创新奖）
  • 2022.03 Outstanding Student, Shandong Province.（山东省优秀学生）
  • 2021.10 National Scholarship for Master’s Students, Ministry of Education. （硕士研究生国家奖学金）
  • 2020.06 Outstanding Undergraduate Graduate, Shandong Province.（山东省优秀本科毕业生）
  • 2019.08 First Prize of National Electronic Design Competition.（全国电子设计竞赛一等奖）
  • …

📖 Educations

  • 2023.09 – 2026.06, Ph.D. in Computer Science, Wuhan University (WHU), Wuhan, China.
  • 2020.09 – 2023.06, M.S. in Information and Communication Engineering, China University of Petroleum (UPC), Qingdao, China.
  • 2016.09 – 2020.06, B.S. 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 2026/2025, ECCV 2026, NeurIPS 2025.
  • Journal Reviewer: TPAMI, IJCV, TIP, TMM, TCSVT, TGRS, ISPRS PR, NN, Neurocomputing, etc.