High resolution techniques for radar: Myth or reality? - Chengfang Ren; Jérôme Galy; Eric Chaumette; Pascal Larzabal; Alexandre Renaux (EUSIPCO, 2013)

Hybrid lower bound on the MSE based on the Barankin and Weiss-Weinstein bounds. - Chengfang Ren; Jérôme Galy; Eric Chaumette; Pascal Larzabal; Alexandre Renaux (ICASSP, 2013)

A Ziv-Zakaï type bound for hybrid parameter estimation. - Chengfang Ren; Jérôme Galy; Eric Chaumette; Pascal Larzabal; Alexandre Renaux (ICASSP, 2014)

On the Accuracy and Resolvability of Vector Parameter Estimates. - Chengfang Ren; Mohammed Nabil El Korso; Jérôme Galy; Eric Chaumette; Pascal Larzabal; Alexandre Renaux (IEEE Trans. Signal Process., 2014)

Performance bounds under misspecification model for MIMO radar application. - Chengfang Ren; Mohammed Nabil El Korso; Jérôme Galy; Eric Chaumette; Pascal Larzabal; Alexandre Renaux (EUSIPCO, 2015)

A constrained hybrid Cramér-Rao bound for parameter estimation. - Chengfang Ren; Julien Le Kernec; Jérôme Galy; Eric Chaumette; Pascal Larzabal; Alexandre Renaux (ICASSP, 2015)

Hybrid Barankin-Weiss-Weinstein Bounds. - Chengfang Ren; Jérôme Galy; Eric Chaumette; Pascal Larzabal; Alexandre Renaux (IEEE Signal Process. Lett., 2015)

Recursive Hybrid Cramér-Rao Bound for Discrete-Time Markovian Dynamic Systems. - Chengfang Ren; Jérôme Galy; Eric Chaumette; François Vincent; Pascal Larzabal; Alexandre Renaux (IEEE Signal Process. Lett., 2015)

Performance bounds for coupled models. - Chengfang Ren; Rodrigo Cabral Farias; Pierre-Olivier Amblard; Pierre Comon (SAM, 2016)

Robust-COMET for covariance estimation in convex structures: Algorithm and statistical properties. - Bruno Meriaux; Chengfang Ren; Mohammed Nabil El Korso; Arnaud Breloy; Philippe Forster (CAMSAP, 2017)

Information-Estimation Relationship in Mismatched Gaussian Channels. - Saloua Chlaily; Chengfang Ren; Pierre-Olivier Amblard; Olivier J. J. Michel; Pierre Comon; Christian Jutten (IEEE Signal Process. Lett., 2017)

Performance Bounds for Change Point and Time Delay Estimation. - Chengfang Ren; Alexandre Renaux; Sylvain Azarian (EUSIPCO, 2018)

Efficient Estimation of Scatter Matrix with Convex Structure Under $T$ -Distribution. - Bruno Meriaux; Chengfang Ren; Mohammed Nabil El Korso; Arnaud Breloy; Philippe Forster (ICASSP, 2018)

On the Maximum Likelihood Estimator Statistics for Unimodal Elliptical Distributions in the High Signal-to-Noise Ratio Regime. - Steeve Zozor; Chengfang Ren; Alexandre Renaux (IEEE Signal Process. Lett., 2018)

Modified Sparse Subspace Clustering for Radar Detection in Non-stationary Clutter. - Bruno Mériaux; Arnaud Breloy; Chengfang Ren; Mohammed Nabil El Korso; Philippe Forster (CAMSAP, 2019)

On the Recursions of Robust COMET Algorithm for Convexly Structured Shape Matrix. - Bruno Mériaux; Chengfang Ren; Arnaud Breloy; Mohammed Nabil El Korso; Philippe Forster; Jean Philippe Ovarlez (EUSIPCO, 2019)

Distributing Deep Neural Networks for Maximising Computing Capabilities and Power Efficiency in Swarm. - Victor Gacoin; Anthony Kolar; Chengfang Ren; Régis Guinvarc'h (ISCAS, 2019)

Robust estimation of structured scatter matrices in (mis)matched models. - Bruno Meriaux; Chengfang Ren; Mohammed Nabil El Korso; Arnaud Breloy; Philippe Forster (Signal Process., 2019)

Asymptotic Performance of Complex $M$-Estimators for Multivariate Location and Scatter Estimation. - Bruno Meriaux; Chengfang Ren; Mohammed Nabil El Korso; Arnaud Breloy; Philippe Forster (IEEE Signal Process. Lett., 2019)

Efficient Estimation of Kronecker Product of Linear Structured Scatter Matrices under t-distribution. - Bruno Mériaux; Chengfang Ren; Arnaud Breloy; Mohammed Nabil El Korso; Philippe Forster (EUSIPCO, 2020)

Complex-Valued Vs. Real-Valued Neural Networks for Classification Perspectives: An Example on Non-Circular Data. - Jose Agustin Barrachina; Chenfang Ren; Christèle Morisseau; Gilles Vieillard; Jean Philippe Ovarlez (ICASSP, 2021)

A Tyler-Type Estimator of Location and Scatter Leveraging Riemannian Optimization. - Antoine Collas; Florent Bouchard; Arnaud Breloy; Chenfang Ren; Guillaume Ginolhac; Jean Philippe Ovarlez (ICASSP, 2021)

About the Equivalence Between Complex-Valued and Real-Valued Fully Connected Neural Networks - Application to Polinsar Images. - Jose Agustin Barrachina; Chenfang Ren; Gilles Vieillard; Christèle Morisseau; Jean Philippe Ovarlez (MLSP, 2021)

Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering. - Antoine Collas; Florent Bouchard; Arnaud Breloy; Guillaume Ginolhac; Chengfang Ren; Jean Philippe Ovarlez (IEEE Trans. Signal Process., 2021)

Matched and Mismatched Estimation of Kronecker Product of Linearly Structured Scatter Matrices Under Elliptical Distributions. - Bruno Mériaux; Chengfang Ren; Arnaud Breloy; Mohammed Nabil El Korso; Philippe Forster (IEEE Trans. Signal Process., 2021)

Robust PCA for Through-the-Wall Radar Imaging. - Hugo Brehier; Arnaud Breloy; Chengfang Ren; Israel Hinostroza 001; Guillaume Ginolhac (EUSIPCO, 2022)

Robust Geometric Metric Learning. - Antoine Collas; Arnaud Breloy; Guillaume Ginolhac; Chengfang Ren; Jean Philippe Ovarlez (EUSIPCO, 2022)

Transfer learning for human activity classification in multiple radar setups. - Jérémy Fix; Israel Hinostroza 001; Chengfang Ren; Giovanni Manfredi 002; Thierry Letertre (EUSIPCO, 2022)

On the Use of Geodesic Triangles between Gaussian Distributions for Classification Problems. - Antoine Collas; Florent Bouchard; Guillaume Ginolhac; Arnaud Breloy; Chengfang Ren; Jean Philippe Ovarlez (ICASSP, 2022)

Real- and Complex-Valued Neural Networks for SAR Image Segmentation Through Different Polarimetric Representations. - Jose Agustin Barrachina; Chengfang Ren; Gilles Vieillard; Christèle Morisseau; Jean Philippe Ovarlez (ICIP, 2022)

Complex-Valued Neural Networks for Polarimetric Sar Segmentation Using Pauli Representation. - Jose Agustin Barrachina; Chenfang Ren; Christèle Morisseau; Gilles Vieillard; Jean Philippe Ovarlez (IGARSS, 2022)

Deep Learning-Based Anomaly Detection in Synthetic Aperture Radar Imaging. - Max Muzeau; Chengfang Ren; Sébastien Angélliaume; Mihai Datcu; Jean Philippe Ovarlez (CoRR, 2022)

Impact of PolSAR pre-processing and balancing methods on complex-valued neural networks segmentation tasks. - José Agustin Barrachina; Chengfang Ren; Christèle Morisseau; Gilles Vieillard; Jean Philippe Ovarlez (CoRR, 2022)

Large Dimensional Analysis of LS-SVM Transfer Learning: Application to Polsar Classification. - Cyprien Doz; Chengfang Ren; Jean Philippe Ovarlez; Romain Couillet (ICASSP, 2023)

Self-Supervised SAR Anomaly Detection Guided with RX Detector. - Max Muzeau; Chengfang Ren; Sébastien Angélliaume; Mihai Datcu; Jean Philippe Ovarlez (IGARSS, 2023)

Neural network scoring for efficient computing. - Hugo Waltsburger; Erwan Libessart; Chengfang Ren; Anthony Kolar; Régis Guinvarc'h (ISCAS, 2023)

Theory and Implementation of Complex-Valued Neural Networks. - Jose Agustin Barrachina; Chengfang Ren; Gilles Vieillard; Christèle Morisseau; Jean Philippe Ovarlez (CoRR, 2023)

Riemannian Optimization for Non-Centered Mixture of Scaled Gaussian Distributions. - Antoine Collas; Arnaud Breloy; Chengfang Ren; Guillaume Ginolhac; Jean Philippe Ovarlez (IEEE Trans. Signal Process., 2023)

Comparison Between Equivalent Architectures of Complex-valued and Real-valued Neural Networks - Application on Polarimetric SAR Image Segmentation. - José Agustin Barrachina; Chengfang Ren; Christèle Morisseau; Gilles Vieillard; Jean Philippe Ovarlez (J. Signal Process. Syst., 2023)

The Human Activity Radar Challenge: Benchmarking Based on the 'Radar Signatures of Human Activities' Dataset From Glasgow University. - Shufan Yang; Julien Le Kernec; Olivier Romain; Francesco Fioranelli; Pierre Cadart; Jérémy Fix; Chenfang Ren; Giovanni Manfredi 002; Thierry Letertre; Israel D. Sáenz Hinostroza; Jifa Zhang; Huaiyuan Liang; et al. (IEEE J. Biomed. Health Informatics, 2023)

Deep Unrolling of Robust PCA and Convolutional Sparse Coding for Stationary Target Localization in Through Wall Radar Imaging. - Hugo Brehier; Arnaud Breloy; Chengfang Ren; Guillaume Ginolhac (EUSIPCO, 2024)

Through-The-Wall Radar Imaging With Wall Clutter Removal Via Riemannian Optimization On The Fixed-Rank Manifold. - Hugo Brehier; Arnaud Breloy; Chengfang Ren; Guillaume Ginolhac (ICASSP, 2024)

Complex-Valued Wasserstein GAN for SAR Image Generation. - Victor Dhédin; Jérémie Levi; Jérémy Fix; Chengfang Ren; Israel Hinostroza 001 (IGARSS, 2024)

General Feature Extraction In SAR Target Classification: A Contrastive Learning Approach Across Sensor Types. - Max Muzeau; Joana Frontera-Pons; Chenfang Ren; Jean Philippe Ovarlez (IGARSS, 2024)

SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTs. - Max Muzeau; Joana Frontera-Pons; Chengfang Ren; Jean Philippe Ovarlez (CoRR, 2024)

Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA. - Hugo Brehier; Arnaud Breloy; Chengfang Ren; Guillaume Ginolhac (Signal Process., 2024)

Out-of-Distribution Radar Detection in Compound Clutter and Thermal Noise through Variational Autoencoders. - Y. A. Rouzoumka; Eugénie Terreaux; Christèle Morisseau; Jean Philippe Ovarlez; Chengfang Ren (CoRR, 2025)