Education

• Ph.D candidate in signal and information processing, Electronic Information School, Wuhan University, 2017.09-
• B.Eng. in Electronic Information Engineering (Excellent Engineer Program), Electronic Information School, Wuhan University, 2013.09-2017.06

Updates

• [2020.11] Our work “A Saliency Guided Vehicle Targer Detection Method for Airborne SAR Images” has been accpted by the 7th China High Resolution Earth Observation Conference (Outstanding paper).
• [2020.04] Our work “Learning Relation by Graph Neural Network for SAR Image Few-shot Learning” has been accpted by IGRASS2020 (oral presentation).
• [2019.04] Our work “A Class Activation Mapping Guided Adversarial Training Method for Land-use Classification and Object Detection” has been accpted by IGRASS2019 (oral presentation).
• [2019.03] Our work “Dynamic Fractal Texture Analysis for PolSAR Land Cover Classification” has been accpted by IEEE TGRS.

Journal Publications

• [12]Yang, R., Xu, X., Xu, Z.Z., Dong, H., Gui, R., and Pu, F.L. (2019) “Dynamic Fractal Texture Analysis For PolSAR Land Cover Classification”, IEEE Trans. Geosci. Remote Sens., vol. 57, no. 8, pp. 5991-6002, August. 2019. (Representative research, SCI, Top Journal, IF: 5.855)
• [11]Yang, R., Xu, X., Gui, R., Xu, Z.Z. and Pu, F.L. (2021). Composite Sequential Network with POA Attention for PolSAR Image Analysis. IEEE Trans. Geosci. Remote Sens. (SCI, Top Journal, under review)
• [10]Yang, R., Xu, X., Li, X.R., Sui, H.G. and Xu, C. (2021). A Saliency Guided Vehicle Target Detection Method for Airborne SAR Images. Journal of Remote Sensing. (Chinese Core Journals, EI, CSCD, under review)
• [9]Yang, R., Xu, X., Ding, C.J., Xu, Z.Z. and Pu, F.L. (2021). Distraction-Attention-Driven Adversarial Network for Robust Remote Sensing Image Scene Classification. Neurocomputing. (under preparation)
• [8] Gui, R., Xu, X., Yang, R., Wang, L., and Pu, F.L. (2020). Statistical Scattering Components-based Subspace Alignment for Unsupervised Cross-Domain PolSAR Image Classification. IEEE Trans. Geosci. Remote Sens., Early Access.
• [7] Li, X.R., Pu, F.L., Yang, R., Gui, R. and Xu, X. (2020). AMN: Attention Metric Network for One-Shot Remote Sensing Image Scene Classification. Remote Sensing.
• [6] Dong, H., Xu, X. Yang, R. and Pu, F.L. (2020). Component Ratio-Based Distances for Cross-Source PolSAR Image Classification. IEEE Geosci. Remote Sens. Lett..
• [5]Wang, L., Xu, X., Gui, R., Yang, R. and Pu, F.L. (2020). Learning Rotation Domain Deep Mutual Information Using Convolutional LSTM for Unsupervised PolSAR Image Classification. emote Sensing. 1
• [4] Gui, R., Xu, X., Wang, L., Yang, R. and Pu, F.L. (2020). Eigenvalue Statistical Components-based PU-Learning for PolSAR Built-up Areas Extraction and Cross-domain Analysis. IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens..
• [3] Wang, L., Xu, X., Yu, Y, Yang, R., Gui, R. and Pu, F.L (2019). SAR-to-Optical Image Translation Using Supervised Cycle-Consistent Adversarial Networks. IEEE Access.
• [2] Gui, R., Xu, X., Wang, L., Yang, R., Pu, F.L. (2018). A Generalized Zero-Shot Learning Framework for PolSAR Land Cover Classification. Remote Sensing.
• [1] Xu, Z.Z., Xu, X., Wang, L., Yang, R., and Pu, F.L. (2017). Deformable ConvNet with Aspect Ratio Constrained NMS for Object Detection in Remote Sensing Imagery. Remote Sensing.

Conference publications

• [5] Yang, R., X., Li, X.R. and Pu, F.L. (2020). “Learning Relation by Graph Neural Network for SAR Image Few-shot Learning”, in Proc. 2020 IEEE Int. Geosci. Remote Sens. Symp.(IGARSS), Virtual Symposium, 26 Sept.-02. Oct. 2020. (EI)
• [4] Yang, R., X. Xu, Z.-Z. Xu, C.-J. Ding and F.-L. Pu. (2019) ““A Class Activation Mapping Guided Adversarial Training Method for Land-use Classification and Object Detection”, in Proc. 2019 IEEE Int. Geosci. Remote Sens. Symp.(IGARSS), Yokohama, Japan, 28 Jul.-02. Aug. 2019. (EI)
• [3] Li, X.R., Xu, X., Yang, R. and Pu, F.L. (2020). DBC: Deep Boundaries Combination for Farmland Boundary Detection Based on UAV Imagery, in Proc. 2020 IEEE Int. Geosci. Remote Sens. Symp.(IGARSS), Virtual Symposium, 26 Sept.-02. Oct. 2020.
• [2] Gui, R., Xu, X., Zhang, D.J., Wang, L., Yang, R. and Pu, F.L. (2019). Built-up Areas Extraction From PolSAR Imagery via Eigenvalue Statistical Information and PU-learning, in Proc. 2019 IEEE Int. Geosci. Remote Sens. Symp.(IGARSS), Yokohama, Japan, 28 Jul.-02. Aug. 2019.
• [1] Wang, L., Xu, X., Dong, H., Gui, R., Yang, R., Pu, F.L. (2018). Exploring Convolutional LSTM for PolSAR Image Classification, in Proc. 2018 IEEE Int. Geosci. Remote Sens. Symp.(IGARSS), Valencia, Spain, 22-27 Jul. 2018.

Presentation

• [2] Yang, R. Learning Relation by Graph Neural Network for SAR Image Few-shot Learning, 2020 IEEE Int. Geosci. Remote Sens. Symp.(IGARSS), Virtual Symposium, 01 Oct. 2020.
• [1] Yang, R. A Class Activation Mapping Guided Adversarial Training Method for Land-use Classification and Object Detection, 2019 IEEE Int. Geosci. Remote Sens. Symp.(IGARSS), Yokohama, Japan, 02 Aug. 2019.

Lectures and supervisions

• [03/2020-06/2020] Teaching Assistant WHU - Course of Signal and System
• [09/2017-01/2018] Teaching Assistant WHU - Course of Digital Signal Processing
• [9/2015-01/2016,09/2016-01/2017] Teaching Assistant WHU - Course of Speech Signal Processing

Selected Awards

• [11/2020] Outstanding paper (“A Saliency Guided Vehicle Target Detection Method for Airborne SAR Images”) of the 7th China High Resolution Earth Observation Conference
• [10/2019] Postgraduate Academic Innovation Award of Wuhan University (Second Prize)
• [06/2017] Outstanding paper (“Dynamic Texture and Its Application in Visual Scenario”) of bachelor’s dissertation in Wuhan University
• [10/2014,10/2016] National Scholarship, Wuhan University (Top 2%)
• [10/2015] Special scholarship (Samsung) of Wuhan University
• [10/2014] Special scholarship (Gui Yang) of Wuhan University