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Ju Huang, Associate Professor
Research Direction： His research interests focus on Machine vision, Embedded system design, Optoelectronic system integration.
Contact Address: P.O. Box 64, 127 West Youyi Road, Beilin District, Xi'an 710072, Shaanxi, P.R. China
Zip Code: 710072
E-mail: huangjuhappy123@126.com
Education Background
He received his Bachelor degree from University of Electronic Science and Technology of China, chengdu, China, in 2013, and the Master degree from University of Electronic Science and Technology of China, chengdu, China, in 2016. He also received his Ph.D. degree from University of Chinese Academy of Sciences, Beijing, China, in 2022.
Work Experience
He is currently a Associate Professor with the Northwestern Polytechnical University. He has been an Assistant Research Fellow with the Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences (2016-2022)
Academic Service
He served as a reviewer for Pattern Recognition, PAAA, SCIS, JCST. He also served as a member of China Computer Federation (CCF).
Representative Papers
J. Huang, K. Liu*, and X. Li, “Locality Constrained Low Rank Representation and Automatic Dictionary Learning for Hyperspectral Anomaly Detection,” Remote Sensing, vol. 14, pp. 1327, 2022.
J. Huang, X. Li*, “Ensemble of Half Space Tree for Hyperspectral Anomaly Detection,” SCIENCE CHINA Information Sciences, 2021.
J. Huang, K. Liu*, M. Xu, M. Perc, and X. Li, “Background Purification Framework with Extend Morphological Attribute Profile for Hyperspectral Anomaly Detection,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 8113-8124, 2021.
K. Liu, J. Huang*, and X. Li, “Eagle-eye Inspired Attention for Object Detection in Remote Sensing,” Remote Sensing, no. 14, pp. 1743, 2022.
K. Liu, J. Huang, M. Xu, M. Perc, and X. Li*, “Density Saliency for Clustered Building Detection and Population Capacity Estimation,” Neurocomputing, vol. 458, pp. 127-140, 2021.
X. Lu, W. Zhang and J. Huang, “Exploiting Embedding Manifold of Autoencoders for Hyperspectral Anomaly Detection,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 3, pp. 1527-1537, 2020.
S. Wu, J. Huang, Y. Feng, and B. Sun, “Multiple Reliable Structured Patches for Object Tracking,” Cognitive Computation, 1-10, 2020.
Recent papers: