Adjasankey: Visualization of Huge Hierarchical Weighted and Directed Graphs. - Joris Sansen; Frédéric Lalanne; David Auber; Romain Bourqui (IV, 2015)

Large interactive visualization of density functions on big data infrastructure. - Alexandre Perrot; Romain Bourqui; Nicolas Hanusse; Frédéric Lalanne; David Auber (LDAV, 2015)

Visual Exploration of Large Multidimensional Data Using Parallel Coordinates on Big Data Infrastructure. - Joris Sansen; Gaëlle Richer; Timothée Jourde; Frédéric Lalanne; David Auber; Romain Bourqui (Informatics, 2017)

Enabling Hierarchical Exploration for Large-Scale Multidimensional Data with Abstract Parallel Coordinates. - Gaëlle Richer; Joris Sansen; Frédéric Lalanne; David Auber; Romain Bourqui (EDBT/ICDT Workshops, 2018)

A 750 K Photocharge Linear Full Well in a 3.2 μm HDR Pixel with Complementary Carrier Collection. - Frédéric Lalanne; Pierre Malinge; Didier Hérault; Clémence Mornet; Nicolas Virollet (Sensors, 2018)

HiePaCo: Scalable Hierarchical Exploration in Abstract Parallel Coordinates Under Budget Constraints. - Gaëlle Richer; Joris Sansen; Frédéric Lalanne; David Auber; Romain Bourqui (Big Data Res., 2019)

4.6µm Low Power Indirect Time-of-Flight Pixel Achieving 88.5% Demodulation Contrast at 200MHz for 0.54MPix Depth Camera. - Cédric Tubert; Pascal Mellot; Yann Desprez; Celine Mas; Arnaud Authié; Laurent Simony; Grégory Bochet; Stephane Drouard; Jeremie Teyssier; Damien Miclo; Jean-Raphael Bezal; Thibault Augey; et al. (ESSCIRC, 2021)

$4.6 mu mathrm{m}$ Low Power Indirect Time-of-Flight Pixel Achieving 88.5% Demodulation Contrast at 200MHz for 0.54MPix Depth Camera. - Cédric Tubert; Pascal Mellot; Yann Desprez; Celine Mas; Arnaud Authié; Laurent Simony; Grégory Bochet; Stephane Drouard; Jeremie Teyssier; Damien Miclo; Jean-Raphael Bezal; Thibault Augey; et al. (ESSDERC, 2021)

Deep Neural Network for DrawiNg Networks, $${(DNN)^{ textit{2} , }} $$. - Loann Giovannangeli; Frédéric Lalanne; David Auber; Romain Giot; Romain Bourqui (GD, 2021)

Visualizing Food-Drug Interactions in the Thériaque Database. - Frédéric Lalanne; Pierrick Bedouch; Cyril Simonnet; Vincent Depras; Georgeta Bordea; Romain Bourqui; Thierry Hamon; Frantz Thiessard; Fleur Mougin (MIE, 2021)

Deep Neural Network for DrawiNg Networks, (DNN)2. - Loann Giovannangeli; Frédéric Lalanne; David Auber; Romain Giot; Romain Bourqui (CoRR, 2021)

FORBID: Fast Overlap Removal by Stochastic GradIent Descent for Graph Drawing. - Loann Giovannangeli; Frédéric Lalanne; Romain Giot; Romain Bourqui (GD, 2022)

Guaranteed Visibility in Scatterplots with Tolerance. - Loann Giovannangeli; Frédéric Lalanne; Romain Giot; Romain Bourqui (IEEE Trans. Vis. Comput. Graph., 2024)

Toward Efficient Deep Learning for Graph Drawing (DL4GD). - Loann Giovannangeli; Frédéric Lalanne; David Auber; Romain Giot; Romain Bourqui (IEEE Trans. Vis. Comput. Graph., 2024)

Overlap Removal by Stochastic Gradient Descent With(out) Shape Awareness. - Loann Giovannangeli; Frédéric Lalanne; Romain Giot; Romain Bourqui (IEEE Trans. Vis. Comput. Graph., 2024)