






About Me
Hi, I am Xiao Liu, a Ph.D. candidate at Sichuan University. My research lies in artificial intelligence and computer vision, with a focus on real-world image restoration and enhancement. My work centers on addressing fundamental challenges in complex degradation modeling, efficient neural architecture design, and high-quality image reconstruction under low-compute constraints. I aim to develop unified frameworks that bridge theoretical modeling and practical deployment, with particular emphasis on real-scene image enhancement and lightweight vision systems.
I have published six first-author papers in leading international journals and conferences, including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Informatics, and Knowledge-Based Systems, as well as ACM Multimedia (CCF-A) and the European Conference on Artificial Intelligence (CCF-B).
For more details, please refer to my CV.
Research Interests
Latest News
Publications

Real-world blind image super-resolution with mixed and probabilistic scheme based synthetic degradation pipeline
Xiao Liu, Xiaofeng Wang, Zhengyong Wang, Xiaohai He, Chao Ren
Knowledge-Based Systems (KBS) (2024)
📄Journal★IF 7.6Honors & Awards
Sichuan University Academic Star
Sichuan University
2025
Yanbao Scholarship
Baofeng Group Co., Ltd.
2025
Outstanding Graduate Student
Sichuan University
2024
Outstanding Graduate Thesis
Sichuan University
2024
Xiaomi Scholarship
Xiaomi Technology Co., Ltd.
2024
First Prize in the ICDT HUAWEI Terminal New Display Technology Competition
ICDT and HUAWEI
2023
First Prize in the Mobile Display Enhancement Track.
Academic Service & Communications
Conference Reviewer
CVPR, ACMMM, PRCV
Reviewed submissions for top-tier deep learning journals and conferences.
Journal Reviewer
Scientific Reports, Neurcomputing, Visual Intelligence, Computer Vision and Image Understanding, Neurcomputing, Visual Intelligence, Scientific Reports, Neurcomputing, Visual Intelligence
Reviewed submissions for top-tier deep learning journals and conferences.
Education
Ph.D. in Information and Communication Engineering
Sichuan of Technology
Advisor: Prof. Chao Ren
Research focused on Computer Vision, Image Super-Resolution, and Its Applications
M.S. in Electronic Science and Technology
Sichuan University
Advisor: Prof. Zhengyong Wang and Prof. Chao Ren
Thesis: Research on Super-Resolution and Semantic Segmentation for Real-World Degraded Images
Graduated with Outstanding Graduates and Outstanding Theses. Specialized in Computer Vision, Image Restoration, and Visual Understanding.
B.S. in Electronic Science and Technology
Chengdu University of Information Technology
Thesis: Study on the Magnetic Near-Neighbor Effect in Pt/YIG
Graduated with Outstanding Graduate. Focus on First Principles and Spintronics.









