My name is Liangliang Zhu, a Ph.D. from UCAS. My research interests include:
- hyperspectral image processing
- computer vision
- machine learning
- matrix theory
- Xiurui Geng and Liangliang Zhu. “Matrix Formula for Subpixel Image Registration.” Pattern Recognition, vol. 172, Elsevier BV, 2026, p. 112469. (link)
- Liangliang Zhu, Xinwen Zhu, and Xiurui Geng. “Factorized Multi-Graph Matching.” Pattern Recognition, vol. 140, Elsevier BV, 2023, p. 109597. (link, code)
- Liangliang Zhu, and Xiurui Geng. “A New Translation Matching Method Based on Autocorrelated Normalized Cross-Power Spectrum.” IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 8, IEEE, 2021, pp. 6956–68. (link, code)
- Liangliang Zhu, Lei Wang, Luyan Ji, Weitun Yang, and Xiurui Geng. “Multiple Targets Inequality Constrained Energy Minimization for Multispectral Imagery.” Infrared Physics & Technology, vol. 110, Elsevier BV, 2020, p. 103465. (link, code)
- Xiurui Geng and Liangliang Zhu. 矩阵之美（算法篇）. 北京：科学出版社, 2025. ISBN 978-7-03-080508-9.
- Songyi Xiao, Liangliang Zhu, Xinwen Zhu, and Xiurui Geng. "Optimized Subset Selection for Matrices and Its Application in Hyperspectral Band Selection." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025.
- Songyi Xiao, Liangliang Zhu, Shouzhi Li, Luyan Ji, and Xiurui Geng. "Hyperspectral Band Selection via Joint Volume Gradient." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024.
- Xinwen Zhu, Liangliang Zhu, and Xiurui Geng. "k-wise Multi-Graph Matching." IET Image Processing, vol. 18, no. 14, 2024, pp. 4760–4777.
- Shouzhi Li, Liangliang Zhu, Luyan Ji, Xin Yi, Yongchao Zhao, and Xiurui Geng. "Hyperspectral Image Denoising Based on the Similar Spectra Approaching." Infrared Physics & Technology, vol. 131, Elsevier BV, 2023, p. 104667. (link)
- Shiyu Zhang, Liangliang Zhu, Luyan Ji, and Xiurui Geng. "Fast Low-Rank-Matrix-Based Connection Center Evolution for Large Hyperspectral Image Clustering." Infrared Physics & Technology, vol. 131, Elsevier BV, 2023, p. 104666. (link)
- Luyan Ji, Liangliang Zhu, Lei Wang, Yanxin Xi, Kai Yu, and Xiurui Geng. "FastVGBS: A Fast Version of the Volume-Gradient-Based Band Selection Method for Hyperspectral Imagery." IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 3, IEEE, 2021, pp. 514–17. (link)