Full-time Professor, Fuzhou University, China, 2024-present

Full-time Associate Professor, Fuzhou University, China, 2022- present

Machine Learning, Fuzhou University, China

Fujian Province Introduced High-Level Talent (Category C, 2024)

Fujian Provincial Water Resources Science and Technology Award (Second and Third Prize, 2023)

Fujian Provincial Science and Technology Progress Award (Second Prize, 2024)

Artificial Intelligence and Hydrological Modeling

Interpretable Deep Learning Models

Flood Forecasting in Ungauged Basins (PUB)

Principal Investigator: “Research on Flood Forecasting for Medium and Small Watersheds Based on Interpretable Deep Learning and Spatiotemporal Watershed Similarity”, National Natural Science Foundation of China (Youth Program) (2025-present)

Principal Investigator: “Deep Learning Hydrological Model Based on Runoff Coefficient and Unit Hydrograph Theory”, Fuzhou University Talent Startup Fund Project (2023-2025)

Principal Investigator: “Research on Deep Learning-Based Flood Forecasting Model Considering Runoff Generation and Concentration Processes”, Fujian Provincial Department of Education Scientific Research Fund for Middle-aged and Young Teachers (2022-2025)

[1] Gao S, Huang Y, Zhang S, et al. Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation[J]. Journal of Hydrology, 2020, 589: 125188.

[2] Gao S, Zhang S, Huang Y, et al. A new seq2seq architecture for hourly runoff prediction using historical rainfall and runoff as input[J]. Journal of Hydrology, 2022, 612: 128099.

[3] Gao S, Zhang S, Huang Y, et al. A hydrological process-based neural network model for hourly runoff forecasting[J]. Environmental Modelling & Software, 2024, 176.