Hongling Zhao

According to our database, Hongling Zhao authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fabric defect detection via feature fusion and total variation regularized low-rank decomposition.

Hongling Zhao, Junpu Wang, Chunlei Li, Pengcheng Liu, Ruimin Yang

Multim. Tools Appl., January, 2024

2022

Improvement of the SWAT Model for Snowmelt Runoff Simulation in Seasonal Snowmelt Area Using Remote Sensing Data.

Hongling Zhao, Hongyan Li, Yunqing Xuan, Changhai Li, Heshan Ni

Remote. Sens., 2022

Water Quality Chl-a Inversion Based on Spatio-Temporal Fusion and Convolutional Neural Network.

Haibo Yang, Yao Du, Hongling Zhao, Fei Chen

Remote. Sens., 2022

Research on Bidirectional Recurrent Imputation of Multivariate Time Series for Clinical Outcomes Prediction.

Hao Gao, Runzhi Li, Jing Wang, Hongling Zhao, Siyu Yan, Lihong Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020

MLP With Riemannian Covariance for Motor Imagery Based EEG Analysis.

Pengpeng Yang, Jing Wang, Hongling Zhao, Runzhi Li

IEEE Access, 2020

An Ensemble Deep Learning Architecture for Multilabel Classification on TI-RADS.

Xueli Duan, Shaobo Duan, Pei Jiang, Runzhi Li, Ye Zhang, Jingzhe Ma, Hongling Zhao, Honghua Dai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2016

基于深度神经网络的胎儿体重预测 (Estimation of Fetal Weight Based on Deep Neural Network).

Kun Li, Yumei Chai, Hongling Zhao, Yueshu Zhao, Xiaofei Nan

计算机科学, 2016

Medical image denoising by parallel non-local means.

Mingliang Xu, Pei Lv, Mingyuan Li, Fang Hao, Hongling Zhao, Bing Zhou, Yusong Lin, Li-Wei Zhou

Neurocomputing, 2016

Learning to Recognize Protected Health Information in Electronic Health Records with Recurrent Neural Network.

Kun Li, Yumei Chai, Hongling Zhao, Xiaofei Nan, Yueshu Zhao

Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Multi-label classification for intelligent health risk prediction.

Runzhi Li, Hongling Zhao, Yusong Lin, Andrew S. Maxwell, Chaoyang Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016