📝 Publications
†: equal contribution, * : corresponding author
🖼️ Natural Image/HSI Super-resolution
Band-kernel Stochastic Learning for Unsupervised Blind Hyperspectral Image Super-Resolution
Zhixiong Yang, Jingyuan Xia*, Shengxi Li, Lingyu Zheng, Shuanghui Zhang, Li Liu, Yaowen Fu, Yongxiang Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence (Trans.PAMI), 2026
[Paper], [Codes]
Blind super-resolution via meta-learning and Markov chain Monte Carlo simulation
Jingyuan Xia†, Zhixiong Yang†,*, Shengxi Li, Shuanghui Zhang*, Yaowen Fu, Deniz Gündüz, Xiang Li
IEEE Transactions on Pattern Analysis and Machine Intelligence (Trans.PAMI), 2024 (Highly Cited Paper/Hot Paper)
[Paper], [Codes]
A dynamic kernel prior model for unsupervised blind image super-resolution
Zhixiong Yang†, Jingyuan Xia†,*, Shengxi Li, Xinghua Huang, Shuanghui Zhang, Zhen Liu, Yaowen Fu, Yongxiang Liu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[Paper], [Codes]
Scan Clusters, Not Pixels: A Cluster-Centric Paradigm for Efficient Ultra-high-definition Image Restoration
Chen Wu, Ling Wang, Zhuoran Zheng, Yuning Cui, Zhixiong Yang, Xiangyu Chen, Yue Zhang, Weidong Jiang, Jingyuan Xia*
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
[Paper], [Codes]
Meta-learning based blind image super-resolution approach to different degradations
Zhixiong Yang, Jingyuan Xia*, Shengxi Li, Wende Liu, Shuaifeng Zhi, Shuanghui Zhang, Li Liu, Yaowen Fu, Deniz Gündüz
Elsevier Neural Networks (NN), 2024
[Paper], [Codes]
IEEE GRSLSAKE: Unsupervised HSI Super-Resolution via Adaptive Kernel Estimation and Reconstruction, Lingyu Zheng†, Zhixiong Yang†, Tong Qiu, and Jingyuan Xia*, IEEE Geoscience and Remote Sensing Letters, 2025. [Paper] [Codes]
✨ Other Low-level Tasks
Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement
Derong Kong†, Zhixiong Yang†, Shengxi Li, Shuaifeng Zhi, Li Liu, Zhen Liu, Jingyuan Xia*
Advances in Neural Information Processing Systems (NeurIPS), 2025
[Paper], [Codes]
📡 Radar Imaging
A Learning-aided Plug-and-play Method for Sparse Aperture ISAR Imaging and Autofocusing
Zhixiong Yang, Jingyuan Xia*, Shuanghui Zhang, Li Liu, Yaowen Fu, Yongxiang Liu
IEEE Transactions on Aerospace and Electronic Systems (Trans.AES), 2025
[Paper], [Codes]
A metalearning-based sparse aperture ISAR imaging method
Jingyuan Xia, Zhixiong Yang*, Zhixing Zhou, Huaizhang Liao, Shuanghui Zhang, Yaowen Fu
Journal of Radars (雷达学报), 2023
[Paper], [Codes]
📶 Other Signal Processing
Dynamic Semantic Tokenization for Time Series via Elastic Sampling on Physics-aware Perception
Huaizhang Liao†, Zhixiong Yang†, Jingyuan Xia*, Yuheng Sun, Yue Zhang, Shengxi Li, Yongxiang Liu
The Association for the Advancement of Artificial Intelligence (AAAI), 2026
[Paper], [Codes]
A learning-aided flexible gradient descent approach to MISO beamforming
Zhixiong Yang, Jing-Yuan Xia*, Junshan Luo, Shuanghui Zhang, Deniz Gündüz
IEEE Wireless Communications Letters (IEEE WCL), 2022
[Paper], [Codes]
⌛️ In Submission & Preprint
Statistical Degradation State Modeling for Mask-free Shadow Removal
Under Review
Paper and Codes will be released after accept.
Error-Robust Unsupervised Shadow Removal via Luminance Probability Learning under Mask Misalignment
Under Review
Paper and Codes will be released after accept.