Google Scholar ORCID

2024

Two-Stage Hierarchical and Explainable Feature Selection Framework for Dimensionality Reduction in Sleep Staging

Two-Stage Hierarchical and Explainable Feature Selection Framework for Dimensionality Reduction in Sleep Staging

Yangfan Deng, Hamad Albidah, Helen Mao, Ahmed Dallal, Jijun Yin, Zhi-Hong Mao

Currently under review by IEEE journal of Biomedical and Health Informatics (J-BHI)

Dimensionality Reduction, EEG Signal, Feature Selection, Persistent Homology, Sleep Stage Classification

Two-Stage Hierarchical and Explainable Feature Selection Framework for Dimensionality Reduction in Sleep Staging

Yangfan Deng, Hamad Albidah, Helen Mao, Ahmed Dallal, Jijun Yin, Zhi-Hong Mao

Currently under review by IEEE journal of Biomedical and Health Informatics (J-BHI)

Design Concept of a Wearable Device for Sleep Related Brain Wave Detection and Stimulation

Design Concept of a Wearable Device for Sleep Related Brain Wave Detection and Stimulation

Ariel Yin, David Zhang, David Mao, Sichuang Li, Haoliang Cheng, Yangfan Deng, Yifan Guo, Helen Mao, Jijun Yin, Zhi-Hong Mao

International Conference on Data Science and Computer Application (ICDSCA) 2024

Adaptive Control, EEG, Machine Learning, Sleep, Wearable Device

Design Concept of a Wearable Device for Sleep Related Brain Wave Detection and Stimulation

Ariel Yin, David Zhang, David Mao, Sichuang Li, Haoliang Cheng, Yangfan Deng, Yifan Guo, Helen Mao, Jijun Yin, Zhi-Hong Mao

International Conference on Data Science and Computer Application (ICDSCA) 2024

UMAP for Dimensionality Reduction in Sleep Stage Classification Using EEG Data

UMAP for Dimensionality Reduction in Sleep Stage Classification Using EEG Data

Yangfan Deng, Hamad Albidah, Haoliang Chen, Ahmed Dallal, Jijun Yin, Zhi-Hong Mao

International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2024

EEG Signal, UMAP, Dimensionality Reduction, Sleep Stage Classification

UMAP for Dimensionality Reduction in Sleep Stage Classification Using EEG Data

Yangfan Deng, Hamad Albidah, Haoliang Chen, Ahmed Dallal, Jijun Yin, Zhi-Hong Mao

International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2024

Robust Loss Functions for Object Grasping under Limited Ground Truth

Robust Loss Functions for Object Grasping under Limited Ground Truth

Yangfan Deng, Mengyao Zhang, Yong Zhao

Currently under review by IEEE Robotics and Automation Letters (R-AL)

Object-grasping, Missing Ground Truth, Noisy Ground Truth, Robust Loss Function

Robust Loss Functions for Object Grasping under Limited Ground Truth

Yangfan Deng, Mengyao Zhang, Yong Zhao

Currently under review by IEEE Robotics and Automation Letters (R-AL)

2023

Smile Recognition Based on Comprehensive Dataset Construction and Bayesian Neural Architecture Search

Smile Recognition Based on Comprehensive Dataset Construction and Bayesian Neural Architecture Search

Junjie Huang, Yangfan Deng, Qinghua Guo, Yizhou Xu, Qingtao Pan, Yong Zhao

International Conference on Image and Graphics Processing (ICIGP) 2023

Oral Presentation & Best Presentation Award

Smile Recognition, Comprehensive Dataset, Bayesian Optimization

Smile Recognition Based on Comprehensive Dataset Construction and Bayesian Neural Architecture Search

Junjie Huang, Yangfan Deng, Qinghua Guo, Yizhou Xu, Qingtao Pan, Yong Zhao

International Conference on Image and Graphics Processing (ICIGP) 2023

2022

A Lightweight Object Grasping Network using GhostNet

A Lightweight Object Grasping Network using GhostNet

Yangfan Deng, Qinghua Guo, Yong Zhao, Junji Xu

International Workshop on Frontiers of Graphics and Image Processing (FGIP) 2022

Oral Presentation

Object-grasping, Lightweith Neural Network, Robot, Computer Vision

A Lightweight Object Grasping Network using GhostNet

Yangfan Deng, Qinghua Guo, Yong Zhao, Junji Xu

International Workshop on Frontiers of Graphics and Image Processing (FGIP) 2022