Author

Hao Jiang

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Sep 2026

A Physically Constrained Deep Learning Framework for Total Nitrogen Prediction: A Case Study of a Reservoir in North China.

Accurate forecasting of total nitrogen (TN), a key driver of eutrophication, is critical for effective water environment management. However, due to the dynamic nature of hydrological and meteorological conditions, water quality data commonly exhibit non-stationarity and distribution shift, leading to significantly red...

Hao Jiang, Jun Qian, Yue-Ting Chai et al. · Environmental Research · 0 citations

#artificial intelligence Preprint Sep 2026

DiffPTS: Rethinking Diffusion ELBO for Probabilistic Time Series Forecasting

Probabilistic time series forecasting requires modeling and predicting complex and time-varying distributions. Recently, Denoising Diffusion Probabilistic Model (DDPM)-based approaches have shown promise by equipping the dif- fusion process with pretrained mean and variance estimators to accommodate distributional shif...

Wei-Wei Ye, Dong-Yuan Li, Hang-Chen Liu et al. · 0 citations