Lingli Zeng

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Parallel Brain-Computer Interface: Collaborative Control and Perception Based on Multibrain Division of Labor.
IEEE Trans. Cogn. Dev. Syst., April, 2026

Learning Task-Preferred Inference Routes for Gradient De-Conflict in Multi-Output DNNs.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

Neural networks for epilepsy detection and prediction with EEG signals: a systematic review.
Artif. Intell. Rev., January, 2026

2025
Feature and Semantic Matching Multisource Domain Adaptation for Diagnostic Classification of Neuropsychiatric Disorders.
IEEE Trans. Cogn. Dev. Syst., December, 2025

DMAE-EEG: A Pretraining Framework for EEG Spatiotemporal Representation Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2025

Cognitive Load Prediction From Multimodal Physiological Signals Using Multiview Learning.
IEEE J. Biomed. Health Informatics, May, 2025

M₂DC: A Meta-Learning Framework for Generalizable Diagnostic Classification of Major Depressive Disorder.
IEEE Trans. Medical Imaging, February, 2025

Universal slip detection of robotic hand with tactile sensing.
Frontiers Neurorobotics, 2025

Recognizing drivers' turning intentions with EEG and eye movement.
Biomed. Signal Process. Control., 2025

Power graphs of Brandt semigroups.
AKCE Int. J. Graphs Comb., 2025

2024
Gradient Matching Federated Domain Adaptation for Brain Image Classification.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

2023
Graph Learning With Co-Teaching for EEG-Based Motor Imagery Recognition.
IEEE Trans. Cogn. Dev. Syst., December, 2023

Multi-Brain Coding Expands the Instruction Set in SSVEP-Based Brain-Computer Interfaces.
IEEE Trans. Hum. Mach. Syst., October, 2023

SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Adaptive Feature Selection With Augmented Attributes.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Fusion of Spatial, Temporal, and Spectral EEG Signatures Improves Multilevel Cognitive Load Prediction.
IEEE Trans. Hum. Mach. Syst., April, 2023

DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features.
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CoRR, 2023

Neural Video: A Novel Framework for Interpreting the Spatiotemporal Activities of the Human Brain.
Proceedings of the Image and Graphics - 12th International Conference, 2023

2022
Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data.
IEEE Trans. Knowl. Data Eng., 2022

2021
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images.
Medical Image Anal., 2021

Frequency-specific segregation and integration of human cerebral cortex: an intrinsic functional atlas.
CoRR, 2021

A Federated Deep Learning Framework for 3D Brain MRI Images.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Virtual Mouse Based on Parallel Cooperation of Eye Tracker and Motor Imagery.
Proceedings of the Image and Graphics - 11th International Conference, 2021

2020
A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Prediction the Age of Human Brains from Gene Expression.
Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

2019
On a hereditarily finitely based ai-semiring variety.
Soft Comput., 2019

Safe Classification with Augmented Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

A Robust Multi-Subject fMRI Analysis Method Using Dimensional Optimization.
IEEE Access, 2019

Dense-CAM: Visualize the Gender of Brains with MRI Images.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Gender Identification of Human Brain Image with A Novel 3D Descriptor.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Impact of global signal regression on characterizing dynamic functional connectivity and brain states.
NeuroImage, 2018

Multi-Center Brain Imaging Classification Using a Novel 3D CNN Approach.
IEEE Access, 2018

Dissociating Group and Individual Profile of Functional Connectivity Using Low Rank Matrix Recovery.
Proceedings of the Intelligence Science and Big Data Engineering, 2018

2017
Blind source separation of functional MRI scans of the human brain based on canonical correlation analysis.
Neurocomputing, 2017

Lifespan Development of the Human Brain Revealed by Large-Scale Network Eigen-Entropy.
Entropy, 2017

Secure Classification With Augmented Features.
CoRR, 2017

2016
Changes in functional connectivity dynamics associated with vigilance network in taxi drivers.
NeuroImage, 2016

2014
Abnormality of inter-network dynamic interaction in resting-state brains of schizophrenic patients.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

Classification of Patients with Alzheimer's Disease Based on Structural MRI Using Locally Linear Embedding (LLE).
Proceedings of the Biometric Recognition - 9th Chinese Conference, 2014

2012
Schizophrenia Candidate Genes Specific to Human Brain Region Are Restricted to Basal Ganglia.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

2011
Estimating Medication Status via Resting-State Functional Connectivity in Major Depression.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011

2009
Mathematical model and hybrid particle swarm optimization for flexible job-shop scheduling problem.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009


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