Jinyang Li

Jinyang Li

he/him

PhD candidate in Computational Hydrology at UC Irvine

Publications

Google Scholar

All papers available upon request (updated on Nov, 2025)

In review – 2025

  • Li, J., Hsu, K. L., Sorooshian, S., & Lu, D (in review). From Lumped to Spatially Distributed Hydrologic Models: A Generalizable Data‑Driven Framework Across North America. Water Resources Research.
  • Li, J., Ushijima, H., Hsu, K. L. (in review) StreamFormer: Scalable and Accurate Global River Streamflow Forecasting with Transformers. Proceedings of the AAAI Conference on Artificial Intelligence.
  • Li, J., Hsu, K. L., Jiang, A. L., & Sorooshian S. (in review). Improving Regional Rainfall-runoff Modeling Using Attention-based Model. Journal of Hydrology. DOI

Published

  • Li, J., Dao, V., Hsu, K., Analui, B., Knofczynski, J. D., & Sorooshian, S. (2024). Improving Cascade Reservoir Inflow Forecasting and Extracting Insights by Decomposing the Physical Process Using a Hybrid Model. Journal of Hydrology, 630, 130623. DOI
  • Li, J., Hsu, K. L., Jiang, A. L., & Yan G. (Accepted). Predicting An. stephensi Environmental Suitability in the Greater Horn of Africa Using Remote Sensing and Ensemble Modeling. International Journal of Applied Earth Observation and Geoinformation. DOI
  • Zhang, Y., Ye, A., Li, J., Analui, B., Nguyen, P., Hsu, K., & Sorooshian, S. (2025). Improve streamflow simulations by combining machine learning pre-processing and post-processing. Journal of Hydrology, 655, 132904. DOI
  • Chen, X., Zhang, Y., Ye, A., Li, J., Hsu, K., & Sorooshian, S. (2025). Fine-tuning long short-term memory models for seamless transition from historical to near-real-time streamflow predictions. Environmental Modeling & Software, 106350. DOI
  • Jiao, Y., Hsu, K., Li, J., & Duan, X. (2025). A multi-task deep learning model for bias correction and merging of precipitation data in the Lancang-Mekong River Basin. Journal of Hydrology, 134026. DOI

Manuscripts (in preparation)

  • Li, J., Ushijima, H., Hsu, K. L., & Sorooshian S. Overcoming the data scarcity in landslide susceptibility and forecasting modeling. Plan to submit to Nature Water.
  • Li, J., Hsu, K., Analui, B., Knofczynski, J. D., & Sorooshian, S. Improving Reservoir Operation using Deep Reinforcement Learning. Plan to submit to Geophysical Research Letters.