| Exploring deep learning for air pollutant emission estimation L Huang, S Liu, Z Yang, J Xing, J Zhang, J Bian, S Li, SK Sahu, S Wang, ... Geoscientific Model Development Discussions 2021, 1-22, 2021 | 31 | 2021 |
| Multiscale numerical simulation of CO2 hydrate storage using machine learning AJ Yamaguchi, T Sato, T Tobase, X Wei, L Huang, J Zhang, J Bian, TY Liu Fuel 334, 126678, 2023 | 12 | 2023 |
| Mimicking atmospheric photochemical modeling with a deep neural network J Xing, S Zheng, S Li, L Huang, X Wang, JT Kelly, S Wang, C Liu, C Jang, ... Atmospheric research 265, 105919, 2022 | 11 | 2022 |
| Rapid inference of nitrogen oxide emissions based on a top-down method with a physically informed variational autoencoder J Xing, S Li, S Zheng, C Liu, X Wang, L Huang, G Song, Y He, S Wang, ... Environmental Science & Technology 56 (14), 9903-9914, 2022 | 5 | 2022 |
| Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting L Huang, L Wu, J Zhang, J Bian, TY Liu arXiv preprint arXiv:2202.10586, 2022 | 4 | 2022 |
| AF: Adaptive Focus Framework for Aerial Imagery Segmentation L Huang, Q Dong, L Wu, J Zhang, J Bian, TY Liu arXiv preprint arXiv:2202.10322, 2022 | 1 | 2022 |
| Multiscale Numerical Simulation of Carbon Dioxide Hydrate Storage Using Machine Learning AJ Yamaguchi, T Sato, T Tobase, X Wei, L Huang, J Zhang, J Bian, TY Liu Available at SSRN 4132318, 0 | 1 | |
| 2022A-GS19-1 Study Case for a Realistic Geological Formation of Carbon Dioxide Hydrate Storage-Multiscale Numerical Simulation AJ Yamaguchi, T Sato, T Tobase, X Wei, L Huang, J Zhang, J Bian, TY Liu Conference Proceedings The Japan Society of Naval Architects and Ocean …, 2022 | | 2022 |
| Development of a Permeability Reduction Model Using Deep Learning for CO2 Hydrate Storage AJ Yamaguchi, T Sato, T Tobase, X Wei, L Huang, J Zhang, J Bian, TY Liu International Conference on Offshore Mechanics and Arctic Engineering 85956 …, 2022 | | 2022 |
