Yujia Zhao

According to our database, Yujia Zhao authored at least 21 papers between 2017 and 2023.

Collaborative distances:

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

2023

Quality Analysis and Correction of Sea Surface Temperature Data from China HY-1C Satellite in Southeast Asia Seas.

Weifu Sun, Chalermrat Sangmanee, Yuanchi Jiang, Yi Ma, Jiang Li, Yujia Zhao

Sensors, September, 2023

A Study on SST Data Fusion from Spaceborne Radiometer Data in Southeast Asia and its Adjacent Seas.

Weifu Sun, Chalermrat Sangmanee, Yujia Zhao, Jie Zhang, Jiang Li

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Analysis of SST Spatial and Temporal Characteristics in the North Pacific Using Remote Sensing Data.

Yujia Zhao, Weifu Sun, Jie Zhang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Sea Surface Salinity Retrieval in the Bohai Sea Using MODIS Data.

Weifu Sun, Yujia Zhao, Yonggen Sun

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Sea Surface Salinity Dynamics in the Bohai Sea Using MODIS Data.

Yonggen Sun, Weifu Sun, Yujia Zhao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Generation of Multi-Source Satellite SST Fusion Product of Arctic with High Temporal Resolution.

Lei Chen, Weifu Sun, Yuheng Li, Yujia Zhao, Jie Zhang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

New Gridded Product for the Total Columnar Atmospheric Water Vapor over Ocean Surface Constructed from Microwave Radiometer Satellite Data.

Weifu Sun, Jin Wang, Yuheng Li, Junmin Meng, Yujia Zhao, Peiqiang Wu

Remote. Sens., 2021

Preoperative ultrasound radiomics analysis for expression of multiple molecular biomarkers in mass type of breast ductal carcinoma in situ.

Linyong Wu, Yujia Zhao, Peng Lin, Hui Qin, Yichen Liu, Da Wan, Xin Li, Yun He, Hong Yang

BMC Medical Imaging, 2021

2020

Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis.

Baiying Lei, Yujia Zhao, Zhongwei Huang, Xiaoke Hao, Feng Zhou, Ahmed Elazab, Jing Qin, Haijun Lei

Medical Image Anal., 2020

Template-Oriented Multi-task Sparse Low-Rank Learning for Parkinson's Diseases Diagnosis.

Zihao Chen, Haijun Lei, Yujia Zhao, Zhongwei Huang, Xiaohua Xiao, Yi Lei, Ee-Leng Tan, Baiying Lei

Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

2019

Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine.

Haijun Lei, Yuting Wen, Zhuhong You, Ahmed El-Azab, Ee-Leng Tan, Yujia Zhao, Baiying Lei

IEEE J. Biomed. Health Informatics, 2019

A Visual Calibration Method of Monocular Camera and Pan-Tilt for Mobile Robots.

Jingwen Sun, Lijun Zhao, Ke Wang, Yujia Zhao, Xiangbo Meng, Chuwei Mao, Jiancheng Wang

Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

Predicting Early Stages of Neurodegenerative Diseases via Multi-task Low-Rank Feature Learning.

Haijun Lei, Yujia Zhao, Baiying Lei

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Robust Estimation of ARX Models With Time Varying Time Delays Using Variational Bayesian Approach.

Yujia Zhao, Alireza Fatehi, Biao Huang

IEEE Trans. Cybern., 2018

Phase-Shifted Eccentric Core Fiber Bragg Grating Fabricated by Electric Arc Discharge for Directional Bending Measurement.

Yang Ouyang, Jianxia Liu, Xiaofeng Xu, Yujia Zhao, Ai Zhou

Sensors, 2018

Multi-task Sparse Low-Rank Learning for Multi-classification of Parkinson's Disease.

Haijun Lei, Yujia Zhao, Baiying Lei

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Longitudinal and multi-modal data learning for Parkinson's disease diagnosis.

Zhongwei Huang, Haijun Lei, Yujia Zhao, Feng Zhou, Jin Yan, Ahmed El-Azab, Baiying Lei

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Multi-classification of Parkinson's Disease via Sparse Low-Rank Learning.

Haijun Lei, Yujia Zhao, Zhongwei Huang, Feng Zhou, Limin Huang, Baiying Lei

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Robust Identification of Nonlinear Errors-in-Variables Systems With Parameter Uncertainties Using Variational Bayesian Approach.

Fan Guo, Hariprasad Kodamana, Yujia Zhao, Biao Huang, Yongsheng Ding

IEEE Trans. Ind. Informatics, 2017

A Data-Driven Hybrid ARX and Markov Chain Modeling Approach to Process Identification With Time-Varying Time Delays.

Yujia Zhao, Alireza Fatehi, Biao Huang

IEEE Trans. Ind. Electron., 2017

Adaptive Sparse Learning for Neurodegenerative Disease Classification.

Haijun Lei, Yujia Zhao, Yuting Wen, Baiying Lei

Proceedings of the 19th IEEE International Symposium on Multimedia, 2017