Yulong Bai

发表

Assimilating Remote Sensing Data into Land Surface Models: Theory and Methods

Xin Li, Yulong Bai, 2013 .

Super rogue waves in coupled electric transmission lines

Yulong Bai, Q. Wei, J. Duan, 2020, Indian Journal of Physics.

A Review of Error Estimation in Land Data Assimilation Systems

Xin Li, Yulong Bai, Qian Chai, 2013 .

A Fuzzy-Logic-Based Covariance Localization Method in Data Assimilation

Lin Ding, Yulong Bai, Xiaoyan Ma, 2020 .

A hybrid prediction method based on empirical mode decomposition and multiple model fusion for chaotic time series

Jie Yang, Yulong Bai, Ya-Ni Lu, 2020 .

Assessing Noah‐MP Parameterization Sensitivity and Uncertainty Interval Across Snow Climates

Juan Gu, Chunlin Huang, Zongliang Yang, 2020, Journal of Geophysical Research: Atmospheres.

Coupling the K-nearest neighbors and locally weighted linear regression with ensemble Kalman filter for data-driven data assimilation

Lin Ding, Yulong Bai, Lihong Tang, 2021, Open Geosciences.

An integrated approach to estimate shortwave solar radiation on clear-sky days in rugged terrain using MODIS atmospheric products

Xin Li, Yulong Bai, Xin Li, 2015 .

Evolutionary Algorithm-Based Error Parameterization Methods for Data Assimilation

Xin Li, Yulong Bai, Xin Li, 2011 .

Double-layer staged training echo-state networks for wind speed prediction using variational mode decomposition

Yulong Bai, Lin Ding, Ming-De Liu, 2021 .

A tunable terahertz metamaterial absorber composed of elliptical ring graphene arrays with refractive index sensing application

Yu Zhang, Yunping Qi, Chuqin Liu, 2020 .

Short-term wind speed prediction using an extreme learning machine model with error correction

Xin Li, Lili Wang, Yulong Bai, 2018 .

Theoretical study of a multichannel plasmonic waveguide notch filter with double-sided nanodisk and two slot cavities

Yunping Qi, Chuqin Liu, Xiangxian Wang, 2019, Results in Physics.

Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction

Ming-De Liu, Lin Ding, Yu-Long Bai, 2021 .

Sensitivity of Topographic Correction to the DEM Spatial Scale

Guangjian Yan, Yanli Zhang, Yulong Bai, 2015, IEEE Geoscience and Remote Sensing Letters.

Differential evolution algorithm-based multiple-factor optimization methods for data assimilation

Yulong Bai, Di Wang, Yizhao Wang, 2021, Intell. Data Anal..

Predicting short wind speed with a hybrid model based on a piecewise error correction method and Elman neural network

Lin Ding, Yulong Bai, Ming-de Liu, 2021, Energy.

Fast Multi-objective Constrained Evolutionary Algorithm and Its Convergence

Yulong Bai, Yulong Bai, Yong-jie Ma, 2009 .

A multistep short-term solar radiation forecasting model using fully convolutional neural networks and chaotic aquila optimization combining WRF-Solar model results

H. Zuo, Xiangyue Chen, Yulong Bai, 2023, Energy.

Handling error propagation in sequential data assimilation using an evolutionary strategy

Chunlin Huang, Xin Li, Yulong Bai, 2013, Advances in Atmospheric Sciences.

A theoretical study of optically enhanced transmission characteristics of subwavelength metal Y-shaped arrays and its application on refractive index sensor

Bingbing Hu, Yunping Qi, Chuqin Liu, 2019 .

Improving the prediction accuracy of monthly streamflow using a data-driven model based on a double-processing strategy

Lili Wang, Chunfeng Ma, Xin Li, 2019, Journal of Hydrology.

Short-term wind speed forecasting using recurrent neural networks with error correction

Bolong Chen, Yulong Bai, Jikai Duan, 2021 .

Combining a fully connected neural network with an ensemble Kalman filter to emulate a dynamic model in data assimilation

Yulong Bai, Manhong Fan, Lili Wang, 2021, IEEE Access.

A modified iterative ensemble Kalman filter data assimilation method

Zhe Li, Yizhao Wang, Yulong Bai, 2017 .

Topographic normalization of Landsat TM images in rugged terrain

Yulong Bai, Chuanhua Li, Yulong Bai, 2014, 2014 7th International Congress on Image and Signal Processing.