Haojing Shen

发表

Improving flood forecasting using conditional bias-penalized ensemble Kalman filter

Haksu Lee, D. Seo, S. Noh, 2019, Journal of Hydrology.

Study on Spatial Differences of China’s Urban Land Price

Chang-chun Feng, Haojing Shen, Xia Xiao, 2014 .

Mean Field Bias-Aware State Updating via Variational Assimilation of Streamflow into Distributed Hydrologic Models

Haksu Lee, D. Seo, Haojing Shen, 2020, Forecasting.

Incorporating Hidden Layer representation into Adversarial Attacks and Defences

Haojing Shen, Ran Wang, Sihong Chen, 2020, 2011.14045.

Geometric Analysis of Conditional Bias-Informed Kalman Filters

Haksu Lee, D. Seo, Haojing Shen, 2022, Hydrology.

Incorporating Hidden Layer representation into Adversarial Attacks and Defences

Haojing Shen, Ran Wang, Sihong Chen, 2020, 2011.14045.

Multi-model streamflow prediction using conditional bias-penalized multiple linear regression

D. Seo, Yu Zhang, E. Welles, 2021, Stochastic Environmental Research and Risk Assessment.

Improving Flood Forecasting Using Conditional Bias-Aware Assimilation of Streamflow Observations and Dynamic Assessment of Flow-Dependent Information Content

Haojing Shen, 2020, Journal of Hydrology.

High-resolution modeling and prediction of urban floods using WRF-Hydro and data assimilation

B. Philips, D. Seo, A. Weerts, 2021, Journal of Hydrology.

Towards improving fast adversarial training in multi-exit network

Haojing Shen, Ran Wang, Sihong Chen, 2022, Neural Networks.

Adaptive conditional bias-penalized kriging for improved spatial estimation of extremes

Haojing Shen, Ali Jozaghi, Dong-Jun Seo, 2023, Stochastic Environmental Research and Risk Assessment.

Forecasting the Environmental Parameters of Water Resources Using Machine Learning Methods

Haojing Shen, Farshid Faraj, Haojing Shen, 2018, Annals of Advanced Agricultural Sciences.