Zilong Zhong is a PhD student specialized in Machine Learning & Intelligence. He is supervised by Prof. Jonathan Li and Prof. Alexander Wong. His research interests include deep learning, computer vision, probabilistic graph models, and their applications to various data interpretation scenarios.
Supervisor
Alexander Wong and Jonathan Li
Research interests
Machine Learning, Computer Vision
Research topics
Semantic Image Segmentation, Hyperspectral Image Analysis
Publications
Conference papers
Z. Zhong, Jonathan Li, Z. Luo, and M. Chapman, "Spectra-spatial residual network for hyperspectral image classification: A 3-D deep learning framework", IEEE Transactions on Geoscience and Remote Sensing, 2018.
Z. Zhong, Jonathan Li, D. Clausi, and A. Wong, "Generative adversarial networks and conditional random fields for hyperspectral image classification", IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2019.2915094, 2019.