PTFlash : A deep learning framework for isothermal two-phase equilibrium calculations. - Jingang Qu; Thibault Faney; Jean-Charles de Hemptinne; Soleiman Yousef; Patrick Gallinari (CoRR, 2022)

HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization. - Jingang Qu; Thibault Faney; Ze Wang; Patrick Gallinari; Soleiman Yousef; Jean-Charles de Hemptinne (CoRR, 2022)

Acceleration of Numerical Simulations with Deep Learning : Application to Thermodynamic Equilibrium Calculations. (Accélération des Simulations Numériques avec l'Apprentissage Profond : Application aux Calculs d'Équilibre Thermodynamique). - Jingang Qu (2023)

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data. - Jingang Qu; David Holzmüller; Gaël Varoquaux; Marine Le Morvan (CoRR, 2025)

Histo-Planner: A Real-time Local Planner for MAVs Teleoperation based on Histogram of Obstacle Distribution. - Ze Wang; Zhenyu Gao; Jingang Qu; Pascal Morin (CoRR, 2025)

Learning-based Airflow Inertial Odometry for MAVs using Thermal Anemometers in a GPS and vision denied environment. - Ze Wang; Jingang Qu; Zhenyu Gao; Pascal Morin (CoRR, 2025)