Quanying Liu

According to our database, Quanying Liu authored at least 57 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Contrastive learning of shared spatiotemporal EEG representations across individuals for naturalistic neuroscience.

Xinke Shen, Lingyi Tao, Xuyang Chen, Sen Song, Quanying Liu, Dan Zhang

NeuroImage, 2024

CoCoG-2: Controllable generation of visual stimuli for understanding human concept representation.

Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu

CoRR, 2024

Uncovering cognitive taskonomy through transfer learning in masked autoencoder-based fMRI reconstruction.

Youzhi Qu, Junfeng Xia, Xinyao Jian, Wendu Li, Kaining Peng, Zhichao Liang, Haiyan Wu, Quanying Liu

CoRR, 2024

Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents.

Menglong Zhang, Fuyuan Qian, Quanying Liu

CoRR, 2024

Suppressing seizure via optimal electrical stimulation to the hub of epileptic brain network.

Zhichao Liang, Guanyi Zhao, Yinuo Zhang, Weiting Sun, Jingzhe Lin, Jialin Wang, Quanying Liu

CoRR, 2024

Controlling network-coupled neural dynamics with nonlinear network control theory.

Zhongye Xia, Weibin Li, Zhichao Liang, Kexin Lou, Quanying Liu

CoRR, 2024

Reverse engineering the brain input: Network control theory to identify cognitive task-related control nodes.

Zhichao Liang, Yinuo Zhang, Jushen Wu, Quanying Liu

CoRR, 2024

Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion.

Dongyang Li, Chen Wei, Shiying Li, Jiachen Zou, Quanying Liu

CoRR, 2024

Integration of cognitive tasks into artificial general intelligence test for large models.

Youzhi Qu, Chen Wei, Penghui Du, Wenxin Che, Chi Zhang, Wanli Ouyang, Yatao Bian, Feiyang Xu, Bin Hu, Kai Du, Haiyan Wu, Jia Liu, Quanying Liu

CoRR, 2024

Large-scale analysis of neural activity and connectivity from high-density electroencephalographic data.

Gaia Amaranta Taberna, Jessica Samogin, Mingqi Zhao, Marco Marino, Roberto Guarnieri, Ernesto Cuartas-Morales, Marco Ganzetti, Quanying Liu, Dante Mantini

Comput. Biol. Medicine, 2024

CoCoG: Controllable Visual Stimuli Generation Based on Human Concept Representations.

Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Data-Driven Framework for Whole-Brain Network Modeling with Simultaneous EEG-SEEG Data.

Kexin Lou, Jingzhe Li, Markus Barth, Quanying Liu

Proceedings of the Intelligent Information Processing XII, 2024

2023

Network Analysis on Cortical Morphometry in First-Episode Schizophrenia.

Mowen Yin, Weikai Huang, Zhichao Liang, Quanying Liu, Xiaoying Tang

IEEE Trans. Cogn. Dev. Syst., December, 2023

Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain.

Mo Wang, Kexin Lou, Zeming Liu, Pengfei Wei, Quanying Liu

NeuroImage, October, 2023

Discriminative subspace learning via optimization on Riemannian manifold.

Wanguang Yin, Zhengming Ma, Quanying Liu

Pattern Recognit., July, 2023

Online Learning Koopman Operator for Closed-Loop Electrical Neurostimulation in Epilepsy.

Zhichao Liang, Zixiang Luo, Keyin Liu, Jingwei Qiu, Quanying Liu

IEEE J. Biomed. Health Informatics, 2023

Perturbing a Neural Network to Infer Effective Connectivity: Evidence from Synthetic EEG Data.

Peizhen Yang, Xinke Shen, Zongsheng Li, Zixiang Luo, Kexin Lou, Quanying Liu

CoRR, 2023

SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations.

Ziyuan Ye, Rihan Huang, Qilin Wu, Quanying Liu

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.

Juan Wang, Ru Peng, Quanying Liu, Hong Peng

IEEE Trans. Comput. Soc. Syst., 2022

Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation.

Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu

Neural Networks, 2022

Resting-state functional connectivity of social brain regions predicts motivated dishonesty.

Luoyao Pang, Huidi Li, Quanying Liu, Yue-Jia Luo, Dean Mobbs, Haiyan Wu

NeuroImage, 2022

HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction.

Wanguang Yin, Youzhi Qu, Zhengming Ma, Quanying Liu

Neurocomputing, 2022

Kuramoto Model-Based Analysis Reveals Oxytocin Effects on Brain Network Dynamics.

Shuhan Zheng, Zhichao Liang, Youzhi Qu, Qingyuan Wu, Haiyan Wu, Quanying Liu

Int. J. Neural Syst., 2022

A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network.

Wenwei Luo, Wanguang Yin, Quanying Liu, Youzhi Qu

CoRR, 2022

Explainable fMRI-based Brain Decoding via Spatial Temporal-pyramid Graph Convolutional Network.

Ziyuan Ye, Youzhi Qu, Zhichao Liang, Mo Wang, Quanying Liu

CoRR, 2022

Partial Least Square Regression via Three-Factor SVD-Type Manifold Optimization for EEG Decoding.

Wanguang Yin, Zhichao Liang, Jianguo Zhang, Quanying Liu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Immunofluorescence Capillary Imaging Segmentation: Cases Study.

Runpeng Hou, Ziyuan Ye, Chengyu Yang, Linhao Fu, Chao Liu, Quanying Liu

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.

Youzhi Qu, Xinyao Jian, Wenxin Che, Penghui Du, Kai Fu, Quanying Liu

Proceedings of the Human Brain and Artificial Intelligence - Third International Workshop, 2022

Dynamical Driving Interactions between Human and Mentalizing-designed Autonomous Vehicle.

Yikang Zhang, Shuo Zhang, Zhichao Liang, Hanran Luna Li, Haiyan Wu, Quanying Liu

Proceedings of the IEEE International Conference on Development and Learning, 2022

2021

Embedding Decomposition for Artifacts Removal in EEG Signals.

Junjie Yu, Chenyi Li, Kexin Lou, Chen Wei, Quanying Liu

CoRR, 2021

Deep Auto-encoder with Neural Response.

Xuming Ran, Jie Zhang, Ziyuan Ye, Haiyan Wu, Qi Xu, Huihui Zhou, Quanying Liu

CoRR, 2021

Deep Koopman-operator based model predictive control for closed-loop electrical neurostimulation in epilepsy.

Zhichao Liang, Zixiang Luo, Keyin Liu, Jingwei Qiu, Quanying Liu

CoRR, 2021

Edge Sparse Basis Network: An Deep Learning Framework for EEG Source Localization.

Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu

CoRR, 2021

Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review.

Jie Yuan, Xuming Ran, Keyin Liu, Chen Yao, Yi Yao, Haiyan Wu, Quanying Liu

CoRR, 2021

Riemannian-based Discriminant Analysis for Feature Extraction and Classification.

Wanguang Yin, Zhengming Ma, Quanying Liu

CoRR, 2021

HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction.

Wanguang Yin, Zhengming Ma, Quanying Liu

CoRR, 2021

Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization.

Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu

Proceedings of the International Joint Conference on Neural Networks, 2021

A Novel Convolutional Neural Network Model to Remove Muscle Artifacts from EEG.

Haoming Zhang, Chen Wei, Mingqi Zhao, Quanying Liu, Haiyan Wu

Proceedings of the IEEE International Conference on Acoustics, 2021

Axon Arbor Trade-off Between Wiring Cost, Delay, and Synchronization in Neuronal Networks.

Quanying Liu, Christian Kurniawan, Chenxi Xu, Siddhant Jagtap, Xiyu Deng, Kexin Lou, Yong Sheng Soh, Yorie Nakahira

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020

Bigeminal Priors Variational auto-encoder.

Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu

CoRR, 2020

2019

Shared and connection-specific intrinsic interactions in the default mode network.

Jessica Samogin, Quanying Liu, Marco Marino, Nicole Wenderoth, Dante Mantini

NeuroImage, 2019

Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control.

Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle

CoRR, 2019

Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning.

Quanying Liu, Haiyan Wu, Anqi Liu

CoRR, 2019

Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control.

Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle

CoRR, 2019

Theoretical foundations for layered architectures and speed-accuracy tradeoffs in sensorimotor control.

Yorie Nakahira, Quanying Liu, Natalie Bernat, Terrence J. Sejnowski, John Doyle

Proceedings of the 2019 American Control Conference, 2019

Experimental and educational platforms for studying architecture and tradeoffs in human sensorimotor control.

Quanying Liu, Yorie Nakahira, Ahkeel Mohideen, Adam Dai, Sunghoon Choi, Angelina Pan, Dimitar Ho, John C. Doyle

Proceedings of the 2019 American Control Conference, 2019

2018

A Spatial Registration Toolbox for Structural MR Imaging of the Aging Brain.

Marco Ganzetti, Quanying Liu, Dante Mantini

Neuroinformatics, 2018

Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization.

Quanying Liu, Marco Ganzetti, Nicole Wenderoth, Dante Mantini

Frontiers Neuroinformatics, 2018

2017

Risky Decision-Making in Abstinent Heroin Addicts: an ERP Study.

Bin Hu, Qinglin Zhao, Shuangshuang Zhou, Hong Peng, Quanying Liu

Proceedings of the 9th International Conference on Bioinformatics and Biomedical Technology, 2017

2016

Nonlinear dynamic analysis of resting EEG alpha activity for heroin addicts.

Qinglin Zhao, Bin Hu, Wenhua Lin, Zhixue Li, Hua Jiang, Zhong Xue, Hongqian Li, Quanying Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2013

A study on validity of cortical alpha connectivity for schizophrenia.

Hong Peng, Bin Hu, Lanlan Li, Martyn Ratcliffe, Jingwei Zhai, Qinglin Zhao, Qiuxia Shi, Yunpeng Li, Quanying Liu

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.

Mingqi Zhao, Qinglin Zhao, Quanying Liu, Na Li, Hong Peng, Bin Hu

Proceedings of the Brain and Health Informatics - International Conference, 2013

2011

User-centered depression prevention: An EEG approach to pervasive healthcare.

Hong Peng, Bin Hu, Quanying Liu, Qunxi Dong, Qinglin Zhao, Philip Moore

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.

Bin Hu, Quanying Liu, Qinglin Zhao, Yanbing Qi, Hong Peng

Proceedings of the 2011 IEEE Asia-Pacific Services Computing Conference, 2011

2010

Improve Affective Learning with EEG Approach.

Xiaowei Li, Qinglin Zhao, Bin Hu, Li Liu, Hong Peng, Yanbing Qi, Chengsheng Mao, Zheng Fang, Quanying Liu

Comput. Informatics, 2010

Towards an Efficient and Accurate EEG Data Analysis in EEG-Based Individual Identification.

Qinglin Zhao, Hong Peng, Bin Hu, Lanlan Li, Yanbing Qi, Quanying Liu, Li Liu

Proceedings of the Ubiquitous Intelligence and Computing - 7th International Conference, 2010

Improving Individual Identification in Security Check with an EEG Based Biometric Solution.

Qinglin Zhao, Hong Peng, Bin Hu, Quanying Liu, Li Liu, Yanbing Qi, Lanlan Li

Proceedings of the Brain Informatics, International Conference, 2010