Hubin Zhao

22 papers B 1C 3Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A data-physics hybrid generative model for patient-specific post-stroke motor rehabilitation using wearable sensor data.
CoRR
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
2025 — conf
Accelerate On-Chip Artificial Neural Network Training: a Customised fNIRS Signals Processing System-on-Chip.
SOCC
Yunyi Zhao, Hubin Zhao, Shufan Yang
2025 J jnl
Advancing Embodied Intelligence in Robotic-Assisted Endovascular Procedures: A Systematic Review of AI Solutions.
CoRR
Tianliang Yao, Bo Lu, Markus Kowarschik, Yixuan Yuan, Hubin Zhao, Sébastien Ourselin, Kaspar Althoefer, Junbo Ge, Peng Qi
2025 — conf
An Optimised on-Device Deep Learning Training: An fNIRS study.
SOCC
Yunyi Zhao, Hubin Zhao, Shufan Yang
2025 J jnl
Optimizing Deep Neural Networks for EEG-Based Speech Recognition: A Multimodal Approach to Assistive Communication.
IEEE J. Biomed. Health Informatics
Anarghya Das, Puru Soni, Hubin Zhao, Ming-Chun Huang, Wenyao Xu
2025 C conf
Real-Time Motion Artifact Removal in fNIRS with Denoising Autoencoder at the Edge.
ISCAS
Jinchen Li, Yunjia Xia, Jingyu Lei, Robert J. Cooper, Hubin Zhao
2024 C conf
A Real-Time Machine Learning Module for Motion Artifact Detection in fNIRS.
ISCAS
Renas Ercan, Yunjia Xia, Yunyi Zhao, Rui C. V. Loureiro, Shufan Yang, Hubin Zhao
2024 J jnl
A Unified Platform for At-Home Post-Stroke Rehabilitation Enabled by Wearable Technologies and Artificial Intelligence.
CoRR
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
2024 C conf
An FPGA-based, multi-channel, real-time, motion artifact detection technique for fNIRS/DOT systems.
ISCAS
Yunjia Xia, Elisabetta Maria Frijia, Rui C. V. Loureiro, Robert J. Cooper, Hubin Zhao
2024 J jnl
An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection.
IEEE Trans. Very Large Scale Integr. Syst.
Renas Ercan, Yunjia Xia, Yunyi Zhao, Rui C. V. Loureiro, Shufan Yang, Hubin Zhao
2024 J jnl
Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data.
CoRR
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
2024 — conf
Mental Fatigue Classification with High-Density Diffuse Optical Tomography: A Feasibility Study.
EMBC
Jianan Chen, Yunjia Xia, Alexander Thomas, Tom Carlson, Hubin Zhao
2024 J jnl
Temporal Dynamics and Physical Priori Multimodal Network for Rehabilitation Physical Training Evaluation.
IEEE J. Biomed. Health Informatics
Shuo Gao, Jianan Chen, Xuhang Chen, Julie Uchitel, Chenyu Tang, Cong Li, Yu Pan, Hubin Zhao
2023 — conf
Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset.
IWOCL
Yunyi Zhao, Yunjia Xia, Rui C. V. Loureiro, Hubin Zhao, Uwe Dolinsky, Shufan Yang
2023 B conf
FPL Demo: A Learning-Based Motion Artefact Detector for Heterogeneous Platforms.
FPL
Yunyi Zhao, Yunjia Xia, Rui C. V. Loureiro, Hubin Zhao, Uwe Dolinsky, Shufan Yang
2023 J jnl
Intelligent machines work in unstructured environments by differential neural computing.
CoRR
Shengbo Wang, Shuo Gao, Chenyu Tang, Cong Li, Shurui Wang, Jiaqi Wang, Hubin Zhao, Guohua Hu, Arokia Nathan, Ravinder Dahiya, Luigi G. Occhipinti
2021 J jnl
Wearable, Integrated EEG-fNIRS Technologies: A Review.
Sensors
Julie Uchitel, Ernesto Vidal Rosas, Robert J. Cooper, Hubin Zhao
2018 J jnl
A Scalable Optoelectronic Neural Probe Architecture With Self-Diagnostic Capability.
IEEE Trans. Circuits Syst. I Regul. Pap.
Hubin Zhao, Ahmed Soltan, Pleun Maaskant, Na Dong, Xiaohan Sun, Patrick Degenaar
2018 J jnl
On-Probe Neural Interface ASIC for Combined Electrical Recording and Optogenetic Stimulation.
IEEE Trans. Biomed. Circuits Syst.
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
2015 — conf
A CMOS-based neural implantable optrode for optogenetic stimulation and electrical recording.
BioCAS
Hubin Zhao, Fahimeh Dehkhoda, Reza Ramezani, Danil Sokolov, Patrick Degenaar, Yan Liu, Timothy G. Constandinou
2014 — conf
An 8100 pixel optoelectronic array for optogenetic retinal prosthesis.
BioCAS
Ahmed Soltan, Hubin Zhao, Lionel Chaudet, Mark Neil, Pleun Maaskant, Patrick Degenaar
2014 — conf
An implantable optrode with Self-diagnostic function in 0.35µm CMOS for optical neural stimulation.
BioCAS
Hubin Zhao, Danil Sokolov, Patrick Degenaar