Hubin Zhao

According to our database, Hubin Zhao authored at least 22 papers between 2014 and 2025.

Collaborative distances:

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

2025

Optimizing Deep Neural Networks for EEG-Based Speech Recognition: A Multimodal Approach to Assistive Communication.

Anarghya Das, Puru Soni, Hubin Zhao, Ming-Chun Huang, Wenyao Xu

IEEE J. Biomed. Health Informatics, December, 2025

A data-physics hybrid generative model for patient-specific post-stroke motor rehabilitation using wearable sensor data.

Yanning Dai, Chenyu Tang, Ruizhi Zhang, Wenyu Yang, Yilan Zhang, Yuhui Wang, Junliang Chen, Xuhang Chen, Ruimou Xie, Yangyue Cao, Qiaoying Li, Jin Cao, Tao Li, Hubin Zhao, Yu Pan, Arokia Nathan, Xin Gao, Peter Smielewski, Shuo Gao

CoRR, December, 2025

Advancing Embodied Intelligence in Robotic-Assisted Endovascular Procedures: A Systematic Review of AI Solutions.

Tianliang Yao, Bo Lu, Markus Kowarschik, Yixuan Yuan, Hubin Zhao, Sébastien Ourselin, Kaspar Althoefer, Junbo Ge, Peng Qi

CoRR, April, 2025

An Optimised on-Device Deep Learning Training: An fNIRS study.

Yunyi Zhao, Hubin Zhao, Shufan Yang

Proceedings of the 38th IEEE International System-on-Chip Conference, 2025

Accelerate On-Chip Artificial Neural Network Training: a Customised fNIRS Signals Processing System-on-Chip.

Yunyi Zhao, Hubin Zhao, Shufan Yang

Proceedings of the 38th IEEE International System-on-Chip Conference, 2025

Real-Time Motion Artifact Removal in fNIRS with Denoising Autoencoder at the Edge.

Jinchen Li, Yunjia Xia, Jingyu Lei, Robert J. Cooper, Hubin Zhao

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

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

A Unified Platform for At-Home Post-Stroke Rehabilitation Enabled by Wearable Technologies and Artificial Intelligence.

Chenyu Tang, Ruizhi Zhang, Shuo Gao, Zihe Zhao, Zibo Zhang, Jiaqi Wang, Cong Li, Junliang Chen, Yanning Dai, Shengbo Wang, Ruoyu Juan, Qiaoying Li, Ruimou Xie, Xuhang Chen, Xinkai Zhou, Yunjia Xia, Jianan Chen, Fanghao Lu, Xin Li, Ninglli Wang, Peter Smielewski, Yu Pan, Hubin Zhao, Luigi G. Occhipinti

CoRR, 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

Mental Fatigue Classification with High-Density Diffuse Optical Tomography: A Feasibility Study.

Jianan Chen, Yunjia Xia, Alexander Thomas, Tom Carlson, Hubin Zhao

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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