Hong Peng

Orcid: 0000-0003-1558-1269

Affiliations:
  • Lanzhou University, Gansu Provincial Key Laboratory of Wearable Computing, China


According to our database1, Hong Peng authored at least 48 papers between 2010 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Sparse discriminant manifold projections for automatic depression recognition.
Neurocomputing, 2025

Locality-constrained robust discriminant non-negative matrix factorization for depression detection: An fNIRS study.
Neurocomputing, 2025

2024
Spatio-temporal scale information fusion of Functional Near-Infrared Spectroscopy signal for depression detection.
Knowl. Based Syst., January, 2024

Robust sparse graph regularized nonnegative matrix factorization for automatic depression diagnosis.
Biomed. Signal Process. Control., 2024

2023
Exploratory Cross-Frequency Coupling and Scaling Analysis of Neuronal Oscillations Stimulated by Emotional Images: An Evidence From EEG.
IEEE Trans. Cogn. Dev. Syst., December, 2023

A hybrid SVM and kernel function-based sparse representation classification for automated epilepsy detection in EEG signals.
Neurocomputing, December, 2023

Vigilance estimation using truncated l1 distance kernel-based sparse representation regression with physiological signals.
Comput. Methods Programs Biomed., December, 2023

Feature extraction based on sparse graphs embedding for automatic depression detection.
Biomed. Signal Process. Control., September, 2023

Robust discriminant feature extraction for automatic depression recognition.
Biomed. Signal Process. Control., April, 2023

2022
Epileptic Seizure Detection in EEG Signals Using Discriminative Stein Kernel-Based Sparse Representation.
IEEE Trans. Instrum. Meas., 2022

A Hybrid Classification to Detect Abstinent Heroin-Addicted Individuals Using EEG Microstates.
IEEE Trans. Comput. Soc. Syst., 2022

Abnormal Attentional Bias of Non-Drug Reward in Abstinent Heroin Addicts: An ERP Study.
IEEE Trans. Affect. Comput., 2022

Filterable sample consensus based on angle variance for pupil segmentation.
Digit. Signal Process., 2022

2021
Attention-Based Multilevel Co-Occurrence Graph Convolutional LSTM for 3-D Action Recognition.
IEEE Internet Things J., 2021

A novel automatic classification detection for epileptic seizure based on dictionary learning and sparse representation.
Neurocomputing, 2021

Automatic epileptic seizure detection via Stein kernel-based sparse representation.
Comput. Biol. Medicine, 2021

Identification of Depression with a Semi-supervised GCN based on EEG Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Seizure Onset Detection Using Common Spatial Pattern and Discriminative Log-Euclidean Kernel-Based Gaussian Process.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis.
CoRR, 2020

F-score Based EEG Channel Selection Methods for Emotion Recognition.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

A Novel Gait Analysis Method Based on The Pseudo-Velocity Model for Depression Detection.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

Feature-level Fusion for Depression Recognition Based on fNIRS Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Mobile crowdsourcing based context-aware smart alarm sound for smart living.
Pervasive Mob. Comput., 2019

Multivariate Pattern Analysis of EEG-Based Functional Connectivity: A Study on the Identification of Depression.
IEEE Access, 2019

2018
Cognition-Based Context-Aware Cloud Computing for Intelligent Robotic Systems in Mobile Education.
IEEE Access, 2018

Research on the Classification and Channel Selection of Emotional EEG.
Proceedings of the Human Centered Computing - 4th International Conference, 2018

2017
Risky Decision-Making in Abstinent Heroin Addicts: an ERP Study.
Proceedings of the 9th International Conference on Bioinformatics and Biomedical Technology, 2017

Wearable EEG-Based Real-Time System for Depression Monitoring.
Proceedings of the Brain Informatics - International Conference, 2017

Stability study of the optimal channel selection for emotion classification from EEG.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Single-trial classification of fNIRS signal measured from prefrontal cortex during four directions motor imagery tasks.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
An ERP Study of Attentional Bias to Drug Cues in Heroin Dependence by Using Dot-Probe Task.
Proceedings of the Human Centered Computing - Second International Conference, 2016

A method of removing Ocular Artifacts from EEG using Discrete Wavelet Transform and Kalman Filtering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
The Research of Depression Based on Power Spectrum.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

2014
Artifacts Reduction Method in EEG Signals with Wavelet Transform and Adaptive Filter.
Proceedings of the Brain Informatics and Health - International Conference, 2014

2013
Removal of Ocular Artifacts in EEG - An Improved Approach Combining DWT and ANC for Portable Applications.
IEEE J. Biomed. Health Informatics, 2013

A method of identifying chronic stress by EEG.
Pers. Ubiquitous Comput., 2013

Investigation of Chronic Stress Differences between Groups Exposed to Three Stressors and Normal Controls by Analyzing EEG Recordings.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

A study on validity of cortical alpha connectivity for schizophrenia.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

A Humanoid Robot Used as an Assistive Intervention Tool for Children with Autism Spectrum Disorder: A Preliminary Research.
Proceedings of the Brain and Health Informatics - International Conference, 2013

The removal of ocular artifactsfrom EEG signals: An adaptive modeling technique for portable applications.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
A Low Cost Ergonomic EEG Sensor for Predicting Mental Illness.
Proceedings of the HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics, Vilamoura, Algarve, Portugal, 1, 2012

2011
EEG-Based Cognitive Interfaces for Ubiquitous Applications: Developments and Challenges.
IEEE Intell. Syst., 2011

An improved EEG de-noising approach in electroencephalogram (EEG) for home care.
Proceedings of the 5th International Conference on Pervasive Computing Technologies for Healthcare, 2011

User-centered depression prevention: An EEG approach to pervasive healthcare.
Proceedings of the 5th International Conference on Pervasive Computing Technologies for Healthcare, 2011

A Real-Time Electroencephalogram (EEG) Based Individual Identification Interface for Mobile Security in Ubiquitous Environment.
Proceedings of the 2011 IEEE Asia-Pacific Services Computing Conference, 2011

2010
Improve Affective Learning with EEG Approach.
Comput. Informatics, 2010

Towards an Efficient and Accurate EEG Data Analysis in EEG-Based Individual Identification.
Proceedings of the Ubiquitous Intelligence and Computing - 7th International Conference, 2010

Improving Individual Identification in Security Check with an EEG Based Biometric Solution.
Proceedings of the Brain Informatics, International Conference, 2010


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