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Chengfang Ren
16
Documents
Présentation
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<strong style="box-sizing: border-box;">Assistant professor<br></br></strong>
```<strong style="box-sizing: border-box;">SONDRA Laboratory, CentraleSupelec<br></br></strong><strong style="box-sizing: border-box;">3, rue Joliot-Curie<br></br></strong><strong style="box-sizing: border-box;">91192 Gif-sur-Yvette, France<br></br></strong><strong style="box-sizing: border-box;">Phone : +33 1 69 85 18 03<br></br></strong><strong style="box-sizing: border-box;">chengfang.ren(at)centralesupelec(dot)fr</strong>
```
I am currently an Assistant Professor at SONDRA, the French-Singaporean laboratory of CentraleSupelec. My research interests include robust estimation, performance bounds and resolution limits applied to statistical signal processing and for Radar applications. Recently, I am also interested in machine and deep learning approaches for Radar applications.
website: <https://sites.google.com/view/chengfangren>
Publications
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Impact of PolSAR Pre-Processing and Balancing Methods on Complex-Valued Neural Networks Segmentation TasksIEEE Open Journal of Signal Processing, 2023, 4, pp.157-166. ⟨10.1109/OJSP.2023.3246391⟩
Article dans une revue
hal-04052466v1
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Comparison Between Equivalent Architectures of Complex-valued and Real-valued Neural Networks - Application on Polarimetric SAR Image SegmentationJournal of Signal Processing Systems, 2022, ⟨10.1007/s11265-022-01793-0⟩
Article dans une revue
hal-03771786v1
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Self-Supervised Learning Based Anomaly Detection in Synthetic Aperture Radar ImagingIEEE Open Journal of Signal Processing, 2022, 3, pp.440-449. ⟨10.1109/OJSP.2022.3229618⟩
Article dans une revue
hal-03975492v1
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Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to ClusteringIEEE Transactions on Signal Processing, 2021, 69, pp.6546-6560. ⟨10.1109/TSP.2021.3130997⟩
Article dans une revue
hal-03521278v1
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Complex-valued neural networks for polarimetric sar segmentation using pauli representationIEEE- IGARSS 2022, Jul 2022, Kuala Lumpur, Malaysia. ⟨10.1109/IGARSS46834.2022.9883251⟩
Communication dans un congrès
hal-03752893v1
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Robust Geometric Metric Learning30th European Signal Processing Conference, EUSIPCO 2022, Aug 2022, Belgrade, Serbia
Communication dans un congrès
hal-03931132v1
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Détection d'anomalies en SAR basée sur les réseaux génératifsGRETSI 2022, Sep 2022, Nancy, France
Communication dans un congrès
hal-03830331v1
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Merits of Complex-Valued Neural Networks for PolSAR image segmentationGRETSI 2022, Sep 2022, Nancy, France
Communication dans un congrès
hal-03830417v1
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ON THE USE OF GEODESIC TRIANGLES BETWEEN GAUSSIAN DISTRIBUTIONS FOR CLASSIFICATION PROBLEMS2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), May 2022, Singapour, Singapore. ⟨10.1109/ICASSP43922.2022.9747872⟩
Communication dans un congrès
hal-03752879v1
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SAR Anomalies Detection based on Deep LearningXXVIIIème Colloque GRETSI 2022, Sep 2022, Nancy, France
Communication dans un congrès
hal-03790615v1
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Apprentissage par transfert en grande dimension : application aux images SAR polarimétriquesGRETSI 2022 - XXIIXème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France
Communication dans un congrès
hal-03829615v1
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A Tyler-type estimator of location and scatter leveraging Riemannian optimization2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada. ⟨10.1109/ICASSP39728.2021.9414974⟩
Communication dans un congrès
hal-03144104v1
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Complex-Valued vs. Real-Valued Neural Networks for Classification Perspectives: An Example on Non-Circular Data2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada. ⟨10.1109/ICASSP39728.2021.9413814⟩
Communication dans un congrès
hal-03144092v1
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On the Recursions of Robust COMET Algorithm for Convexly Structured Shape Matrix27th European Signal Processing Conference (EUSIPCO 2019), Sep 2019, A Coruña, Spain. ⟨10.23919/eusipco.2019.8903167⟩
Communication dans un congrès
hal-02155905v1
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Une version récursive de RCOMET pour l'estimation robuste de matrices de forme à structure convexe28eme Colloque francophone de traitement du signal et des images (GRETSI 2019), Aug 2019, Lille, France
Communication dans un congrès
hal-02155900v1
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Complex-Valued vs. Real-Valued Neural Networks for Classification Perspectives: An Example on Non-Circular Data2020
Pré-publication, Document de travail
hal-02941957v1
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