Jingjing Xie

发表

Challenges in representation learning: A report on three machine learning contests

Yoshua Bengio, John Shawe-Taylor, Dumitru Erhan, 2013, Neural Networks.

An analysis model of urban water supply quality based on extension classification method

Wang Pu, Pu Wang, Yun Bai, 2014 .

A multi-scale relevance vector regression approach for daily urban water demand forecasting

Jingjing Xie, Pu Wang, Chuan Li, 2014 .

Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions

Jingjing Xie, Chuan Li, Yun Bai, 2016 .

Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models

Jingjing Xie, Jingjing Xie, Chuan Li, 2016 .

Spectrum sensing based on estimation of direction of arrival

Jingjing Xie, Zhizhong Fu, Haiying Xian, 2010, International Conference on Computational Problem-Solving.

An insight into the carbonation of calcined clayey dolomite and its performance to remove Cd (II)

Jingjing Xie, Lin Hongwei, Tianhu Chen, 2017 .

Edge Mapping: A New Motion Estimation Method for Video Stabilization

Zhizhong Fu, Wei Qian, Lingqiao Liu, 2008, International Symposium on Computer Science and Computational Technology.

Effect of rehydration on structure and surface properties of thermally treated palygorskite.

Jingjing Xie, R. Frost, C. Qing, 2013, Journal of colloid and interface science.

Research on Post-Earthquake Landslide Extraction Algorithm Based on Improved U-Net Model

Peng Liu, Yu Chen, Qinjun Wang, 2020, Remote. Sens..

Additive Model for Monthly Reservoir Inflow Forecast

Pu Wang, Jingjing Xie, Jingjing Xie, 2015 .

Using the Community of Inquiry Framework to Scaffold Online Tutoring.

Jingjing Xie, Xiaoying Feng, Yue Liu, 2017 .

Study on the Diversity of E-Commerce Ecosystem and an Example

Jingjing Xie, Xinjian Li, Qihua Liu, 2009, 2009 Second International Workshop on Computer Science and Engineering.

Model fusion approach for monthly reservoir inflow forecasting

Jingjing Xie, Chuan Li, Yun Bai, 2016 .

Regression modeling for enterprise electricity consumption: A comparison of recurrent neural network and its variants

Chao Liu, Bo Zeng, Chuan Li, 2021 .

A manufacturing quality prediction model based on AdaBoost-LSTM with rough knowledge

Chuan Li, Wanjuan Zhang, Yun Bai, 2021, Comput. Ind. Eng..

Autoencoder-based deep belief regression network for air particulate matter concentration forecasting

Yu Liu, Yun Bai, Xiaoxue Wang, 2018, Journal of Intelligent & Fuzzy Systems.

Dynamic Forecast of Daily Urban Water Consumption Using a Variable-Structure Support Vector Regression Model

Yin Wang, Pu Wang, Yun Bai, 2015 .

Comparative analysis of deep-learning-based models for hourly bus passenger flow forecasting

Y. Zhang, Jingjing Xie, Yun Bai, 2023, Transportation.