Quanying Liu
Orcid: 0000-0002-2501-7656
According to our database1,
Quanying Liu
authored at least 50 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience.
CoRR, 2024
Integration of cognitive tasks into artificial general intelligence test for large models.
CoRR, 2024
A Data-Driven Framework for Whole-Brain Network Modeling with Simultaneous EEG-SEEG Data.
Proceedings of the Intelligent Information Processing XII, 2024
2023
IEEE Trans. Cogn. Dev. Syst., December, 2023
Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain.
NeuroImage, October, 2023
Pattern Recognit., July, 2023
Online Learning Koopman Operator for Closed-Loop Electrical Neurostimulation in Epilepsy.
IEEE J. Biomed. Health Informatics, 2023
Perturbing a Neural Network to Infer Effective Connectivity: Evidence from Synthetic EEG Data.
CoRR, 2023
SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
A Hybrid Classification to Detect Abstinent Heroin-Addicted Individuals Using EEG Microstates.
IEEE Trans. Comput. Soc. Syst., 2022
Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation.
Neural Networks, 2022
Resting-state functional connectivity of social brain regions predicts motivated dishonesty.
NeuroImage, 2022
HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction.
Neurocomputing, 2022
Int. J. Neural Syst., 2022
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network.
CoRR, 2022
Explainable fMRI-based Brain Decoding via Spatial Temporal-pyramid Graph Convolutional Network.
CoRR, 2022
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding.
CoRR, 2022
Partial Least Square Regression via Three-Factor SVD-Type Manifold Optimization for EEG Decoding.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Transfer Learning to Decode Brain States Reflecting the Relationship Between Cognitive Tasks.
Proceedings of the Human Brain and Artificial Intelligence - Third International Workshop, 2022
Dynamical Driving Interactions between Human and Mentalizing-designed Autonomous Vehicle.
Proceedings of the IEEE International Conference on Development and Learning, 2022
2021
Deep Koopman-operator based model predictive control for closed-loop electrical neurostimulation in epilepsy.
CoRR, 2021
CoRR, 2021
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review.
CoRR, 2021
CoRR, 2021
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction.
CoRR, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Axon Arbor Trade-off Between Wiring Cost, Delay, and Synchronization in Neuronal Networks.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021
2020
2019
NeuroImage, 2019
Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control.
CoRR, 2019
Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning.
CoRR, 2019
Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control.
CoRR, 2019
Theoretical foundations for layered architectures and speed-accuracy tradeoffs in sensorimotor control.
Proceedings of the 2019 American Control Conference, 2019
Experimental and educational platforms for studying architecture and tradeoffs in human sensorimotor control.
Proceedings of the 2019 American Control Conference, 2019
2018
Neuroinformatics, 2018
Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization.
Frontiers Neuroinformatics, 2018
2017
Proceedings of the 9th International Conference on Bioinformatics and Biomedical Technology, 2017
2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2013
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
2011
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
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