Multimodal Emotion Recognition Method Based on Convolutional Auto-Encoder. - Zhou Jian; Xianwei Wei; Chunling Cheng; Qidong Yang; Qun Li (Int. J. Comput. Intell. Syst., 2018)

Generating physically-consistent high-resolution climate data with hard-constrained neural networks. - Paula Harder; Qidong Yang; Venkatesh Ramesh; Prasanna Sattigeri; Alex Hernández-García; Campbell D. Watson; Daniela Szwarcman; David S. Rolnick (CoRR, 2022)

Tropical Cyclone Intensity Estimation Using Himawari-8 Satellite Cloud Products and Deep Learning. - Jinkai Tan; Qidong Yang; Junjun Hu; Qiqiao Huang; Sheng Chen (Remote. Sens., 2022)

A Method of Inversing Dynamic Aerosol Extinction-to-Backscattering Ratio Based on Lidar Echo Signal and Ground Aerosol Extinction Coefficient or Aerosol Optical Depth. - Chuwei Zhang; Jian Wu; Wenxuan Fan; Jingchuan Zhao; Qidong Yang; Jinlin Zha; Deming Zhao; Peishi Sun (IEEE Trans. Geosci. Remote. Sens., 2022)

Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling. - Qidong Yang; Alex Hernández-García; Paula Harder; Venkatesh Ramesh; Prasanna Sattigeri; Daniela Szwarcman; Campbell D. Watson; David Rolnick (CoRR, 2023)

Hard-Constrained Deep Learning for Climate Downscaling. - Paula Harder; Alex Hernández-García; Venkatesh Ramesh; Qidong Yang; Prasanna Sattegeri; Daniela Szwarcman; Campbell D. Watson; David Rolnick (J. Mach. Learn. Res., 2023)

Evaluating the transferability potential of deep learning models for climate downscaling. - Ayush Prasad; Paula Harder; Qidong Yang; Prasanna Sattegeri; Daniela Szwarcman; Campbell D. Watson; David Rolnick (CoRR, 2024)

Multi-modal graph neural networks for localized off-grid weather forecasting. - Qidong Yang; Jonathan Giezendanner; Daniel Salles Civitarese; Johannes Jakubik; Eric Schmitt; Anirban Chandra; Jeremy Vila; Detlef Hohl; Christopher Hill; Campbell D. Watson; Sherrie Wang (CoRR, 2024)

A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction. - Qidong Yang; Weicheng Zhu; Joseph Keslin; Laure Zanna; Tim G. J. Rudner; Carlos Fernandez-Granda (CoRR, 2024)