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  • Jingang Qu

  • PhD student
  • Team: MLIA

Publications

  • Ze Wang, Jingang Qu, Pascal Morin. Airflow-based odometry for MAVs using thermal anemometers. International Journal of Micro Air Vehicles, 2023, 15, ⟨10.1177/17568293221148385⟩. ⟨hal-03980215⟩
  • Jingang Qu, Thibault Faney, Jean-Charles de Hemptinne, Soleiman Yousef, Patrick Gallinari. PTFlash : A vectorized and parallel deep learning framework for two-phase flash calculation. Fuel, 2023, 331, Part 1, pp.125603. ⟨10.1016/j.fuel.2022.125603⟩. ⟨hal-03659647v3⟩
  • Fufang Yang, Jingang Qu, Georgios Kontogeorgis, Jean-Charles de Hemptinne. Reference Density Database for 20 Aqueous Alkali Halide Solutions. Journal of Physical and Chemical Reference Data, 2022, 51 (4), pp.043104. ⟨10.1063/5.0124173⟩. ⟨hal-03971217⟩
  • Jingang Qu, Thibault Faney, Ze Wang, Patrick Gallinari, Soleiman Yousef, et al.. HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization. 2022. ⟨hal-03855006⟩
  • Ze Wang, Jingang Qu, Pascal Morin. Deep Learning-based Flight Speed Estimation using Thermal Anemometers. International Micro Air Vehicle Conference, Sep 2022, Delft, Netherlands. ⟨hal-03779784⟩
  • Ze Wang, Jingang Qu, Pascal Morin. Deep Learning-based Flight Speed Estimation using Thermal Anemometers. International Micro Air Vehicle (IMAV), Sep 2022, Delft, Netherlands. ⟨hal-03788445⟩
  • Jingang Qu, Daniel Henry, Sophie Miralles, Valéry Botton, Florence Raynal. Chaotic mixing in an acoustically driven cavity flow. Physical Review Fluids, 2022, 7 (6), pp.064501. ⟨10.1103/physrevfluids.7.064501⟩. ⟨hal-03693739⟩