Multi-label classification for intelligent health risk prediction. - Runzhi Li; Hongling Zhao; Yusong Lin; Andrew S. Maxwell; Chaoyang Zhang (BIBM, 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 (NLPCC/ICCPOL, 2016)

Medical image denoising by parallel non-local means. - Mingliang Xu 001; Pei Lv; Mingyuan Li; Fang Hao; Hongling Zhao; Bing Zhou 003; Yusong Lin; Li-Wei Zhou (Neurocomputing, 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)

An Ensemble Deep Learning Architecture for Multilabel Classification on TI-RADS. - Xueli Duan; Shaobo Duan; Pei Jiang 008; Runzhi Li; Ye Zhang; Jingzhe Ma; Hongling Zhao; Honghua Dai 001 (BIBM, 2020)

MLP With Riemannian Covariance for Motor Imagery Based EEG Analysis. - Pengpeng Yang; Jing Wang 080; Hongling Zhao; Runzhi Li (IEEE Access, 2020)

Research on Bidirectional Recurrent Imputation of Multivariate Time Series for Clinical Outcomes Prediction. - Hao Gao; Runzhi Li; Jing Wang 080; Hongling Zhao; Siyu Yan; Lihong Ma 004 (BIBM, 2022)

Water Quality Chl-a Inversion Based on Spatio-Temporal Fusion and Convolutional Neural Network. - Haibo Yang 005; Yao Du 003; Hongling Zhao; Fei Chen (Remote. Sens., 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)

Fabric defect detection via feature fusion and total variation regularized low-rank decomposition. - Hongling Zhao; Junpu Wang; Chunlei Li 002; Pengcheng Liu 005; Ruimin Yang (Multim. Tools Appl., 2024)