My name is Liangliang Zhu, a Ph.D. from UCAS. My research interests include:
- hyperspectral image processing
- computer vision
- machine learning
- matrix theory
- 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)
- 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)