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Kang Liu, Associate Professor
Scholar Homepages: [ResearchGate]
Research Direction： His research interests focus on the Vicinagearth Safety, Intelligent Photoelectric Detection, Object Detection and Recognition, Multimodal Structural Health Monitoring. His many key technologies have been successfully applied into industrial application systems.
Contact Address: P.O. Box 64, 127 West Youyi Road, Beilin District, Xi'an 710072, Shaanxi, P.R. China
Zip Code: 710072
E-mail: lincoln.liu AT nwpu.edu.cn; kang.liu.opt AT gmail.com
Education Background
He received his Bachelor degree from Xi'an Jiaotong University, Xi'an, China, in 2013, and the Master degree from University of Chinese Academy of Sciences, Beijing, China, in 2016. He also received his Ph.D. degree from University of Chinese Academy of Sciences, Beijing, China, in 2021.
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), and a Signal Processing Engineer with the Jing Hong Technology Co., Ltd, Shenzhen, China (2019-2020).
Academic Service
He served as reviewers for IEEE T-CYB/IEEE T-GRS、Pattern Recognition, PAAA, SCIS, JCST.
He also served as members for IEEE, China Computer Federation (CCF) and Shaanxi Optical Society (SOS).
Representative Papers
C. Xu, K. Liu*, and X. Li*, “Meta++ Network for Few-Shot Aerospace Crack Segmentation,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023. [PDF]
K. Liu and X. Li*, “Bio-inspired Multi-Sensory Pathway Network for Change Detection,” Cognitive Computation, vol. 14, no. 4, pp. 1421-1434, 2022. [PDF]
K. Liu, J. Huang*, and X. Li, “Eagle-eye Inspired Attention for Object Detection in Remote Sensing,” Remote Sensing, no. 14, p. 1743, 2022. [PDF]
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. [PDF]
K. Liu, Z. Jiang, M. Xu, M. Perc, and X. Li*, “Tilt Correction Towards Building Detection of Remote Sensing Images,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 5854-5866, 2021. [PDF]
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. [PDF]
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. [PDF]
X. Li, K. Liu, and Y. Dong*, “Patch Alignment Manifold Matting,” IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 7, pp. 3214-3226, 2018. [PDF]
X. Li, K. Liu, and Y. Dong*, “Superpixel-Based Foreground Extraction With Fast Adaptive Trimaps,” IEEE Transactions on Cybernetics, vol. 48, no. 9, pp. 2609-2619, 2018. [PDF]