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Liu Jun

Associate professor

Degree:博士

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Current position: Home >> Scientific Research

Research Field

1. Autonomous driving

2. 3D vision

3. Image processing

4. Machine learning

5. Statistical signal processing for radar and biomedical applications

Paper Publications More>>

123. Hang Ye, Yongliang Wang, Weijian Liu, Jun Liu, and Hui Chen, “Adaptive detection based on gradient test and Durbin test in spectrally symmetric interference,” Signal Processing, vol. 203, 108793, 2023..
122. Jun Liu, Zengfu Hou, Wei Li, Ran Tao, Danilo Orlando, and Hongbin Li, “Multipixel anomaly detection with unknown patterns for hyperspectral imagery”, IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 10, pp. 5557-5567, October 2022. (code is available).
121. Jun Liu, Dian Jin, Weijian Liu, Danilo Orlando, and Alfonso Farina, “Polarimetric GLRT for adaptive detection in general array configuration”, IEEE Transactions on Signal Processing, vol. 70, pp. 4201-4211, 2022..
120. Jun Liu, Weijian Liu, Xun Chen, Danilo Orlando, and Alfonso Farina, “Wald test for adaptive array detection with general configuration”, IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 5, pp. 4423-4433, October 2022..
119. Siyu Sun, Jun Liu*, Xun Chen, Wei Li, and Hongbin Li, “Hyperspectral anomaly detection with tensor average rank and piecewise smoothness constraints”, IEEE Transactions on Neural Networks and Learning Systems, accepted. (code is available).
118. Liang Chen, Jun Liu*, Weidong Chen, and Bo Du, “A GLRT-based multi-pixel target detector in hyperspectral imagery,” IEEE Transactions on Multimedia, accepted..

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