Hubin Zhao

According to our database, Hubin Zhao authored at least 14 papers between 2014 and 2024.

Collaborative distances:

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

2024

Temporal Dynamics and Physical Priori Multimodal Network for Rehabilitation Physical Training Evaluation.

Shuo Gao, Jianan Chen, Xuhang Chen, Julie Uchitel, Chenyu Tang, Cong Li, Yu Pan, Hubin Zhao

IEEE J. Biomed. Health Informatics, September, 2024

An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection.

Renas Ercan, Yunjia Xia, Yunyi Zhao, Rui C. V. Loureiro, Shufan Yang, Hubin Zhao

IEEE Trans. Very Large Scale Integr. Syst., April, 2024

Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data.

Mengtian Kang, Yansong Hu, Shuo Gao, Yuanyuan Liu, Hongbei Meng, Xuemeng Li, Xuhang Chen, Hubin Zhao, Jing Fu, Guohua Hu, Wei Wang, Yanning Dai, Arokia Nathan, Peter Smielewski, Ningli Wang, Shiming Li

CoRR, 2024

An FPGA-based, multi-channel, real-time, motion artifact detection technique for fNIRS/DOT systems.

Yunjia Xia, Elisabetta Maria Frijia, Rui C. V. Loureiro, Robert J. Cooper, Hubin Zhao

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

A Real-Time Machine Learning Module for Motion Artifact Detection in fNIRS.

Renas Ercan, Yunjia Xia, Yunyi Zhao, Rui C. V. Loureiro, Shufan Yang, Hubin Zhao

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023

Intelligent machines work in unstructured environments by differential neural computing.

Shengbo Wang, Shuo Gao, Chenyu Tang, Cong Li, Shurui Wang, Jiaqi Wang, Hubin Zhao, Guohua Hu, Arokia Nathan, Ravinder Dahiya, Luigi G. Occhipinti

CoRR, 2023

Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset.

Yunyi Zhao, Yunjia Xia, Rui C. V. Loureiro, Hubin Zhao, Uwe Dolinsky, Shufan Yang

Proceedings of the 2023 International Workshop on OpenCL, 2023

FPL Demo: A Learning-Based Motion Artefact Detector for Heterogeneous Platforms.

Yunyi Zhao, Yunjia Xia, Rui C. V. Loureiro, Hubin Zhao, Uwe Dolinsky, Shufan Yang

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

2021

Wearable, Integrated EEG-fNIRS Technologies: A Review.

Julie Uchitel, Ernesto Vidal Rosas, Robert J. Cooper, Hubin Zhao

Sensors, 2021

2018

A Scalable Optoelectronic Neural Probe Architecture With Self-Diagnostic Capability.

Hubin Zhao, Ahmed Soltan, Pleun Maaskant, Na Dong, Xiaohan Sun, Patrick Degenaar

IEEE Trans. Circuits Syst. I Regul. Pap., 2018

On-Probe Neural Interface ASIC for Combined Electrical Recording and Optogenetic Stimulation.

Reza Ramezani, Yan Liu, Fahimeh Dehkhoda, Ahmed Soltan, Dorian Haci, Hubin Zhao, Dimitrios Firfilionis, Anupam Hazra, Mark O. Cunningham, Andrew Jackson, Timothy G. Constandinou, Patrick Degenaar

IEEE Trans. Biomed. Circuits Syst., 2018

2015

A CMOS-based neural implantable optrode for optogenetic stimulation and electrical recording.

Hubin Zhao, Fahimeh Dehkhoda, Reza Ramezani, Danil Sokolov, Patrick Degenaar, Yan Liu, Timothy G. Constandinou

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2014

An implantable optrode with Self-diagnostic function in 0.35µm CMOS for optical neural stimulation.

Hubin Zhao, Danil Sokolov, Patrick Degenaar

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

An 8100 pixel optoelectronic array for optogenetic retinal prosthesis.

Ahmed Soltan, Hubin Zhao, Lionel Chaudet, Mark Neil, Pleun Maaskant, Patrick Degenaar

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014