Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling. - Ruiyuan Kang; Dimitrios C. Kyritsis; Panos Liatsis (CoRR, 2022)

Realizing Flame State Monitoring with Very Few Visual or Infrared Images via Few-Shot Learning. - Ruiyuan Kang; Panos Liatsis; Dimitrios C. Kyritsis (CoRR, 2022)

Spatially-resolved Thermometry from Line-of-Sight Emission Spectroscopy via Machine Learning. - Ruiyuan Kang; Dimitrios C. Kyritsis; Panos Liatsis (CoRR, 2022)

Physics-Driven ML-Based Modelling for Correcting Inverse Estimation. - Ruiyuan Kang; Tingting Mu; Panagiotis Liatsis; Dimitrios C. Kyritsis (NeurIPS, 2023)

EEE, Remediating the failure of machine learning models via a network-based optimization patch. - Ruiyuan Kang; Dimitrios C. Kyritsis; Panos Liatsis (CoRR, 2023)