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Chengfang Ren
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Documents
Présentation
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<pre class="zfr3Q FVr0A" id="h.p_RR8aVZd5U869" style="font-family: Lato, sans-serif; font-size: 15px; white-space: normal; box-sizing: border-box; font-variant-ligatures: none; margin-top: 0px; margin-bottom: 0px; outline: none; position: relative; color: #212121; text-decoration-line: inherit; line-height: 1.4; padding-top: 0px; text-align: justify;">```
<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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The Human Activity Radar Challenge: Benchmarking Based on the ‘Radar Signatures of Human Activities’ Dataset From Glasgow UniversityIEEE Journal of Biomedical and Health Informatics, 2023, 27 (4), pp.1813-1824. ⟨10.1109/JBHI.2023.3240895⟩
Article dans une revue
hal-04500661v1
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Complex-valued Wasserstein GAN for SAR Image GenerationIEEE IGARSS 2024, Jul 2024, Athens, Greece
Communication dans un congrès
hal-04529685v1
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Classification in C-band of Doppler signatures of human activities in indoor environmentIET International Radar Conference 2020, 2021, Chongqing, China. ⟨10.1049/icp.2021.0597⟩
Communication dans un congrès
hal-03022656v1
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Analysis of airplane signatures using passive VHF radar for recognition perspectives2019 International Radar Conference, Sep 2019, Toulon, France. ⟨10.1109/RADAR41533.2019.171376⟩
Communication dans un congrès
hal-02492643v1
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