Quanying Liu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 55

Top Topics

Source Localization

Top Venues

Publications

Zhongye Xia, Weibin Li, Zhichao Liang, Kexin Lou, Quanying Liu
Controlling network-coupled neural dynamics with nonlinear network control theory. CoRR (2024)
Youzhi Qu, Junfeng Xia, Xinyao Jian, Wendu Li, Kaining Peng, Zhichao Liang, Haiyan Wu, Quanying Liu
Uncovering cognitive taskonomy through transfer learning in masked autoencoder-based fMRI reconstruction. CoRR (2024)
Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu
CoCoG: Controllable Visual Stimuli Generation based on Human Concept Representations. CoRR (2024)
Menglong Zhang, Fuyuan Qian, Quanying Liu
Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents. CoRR (2024)
Dongyang Li, Chen Wei, Shiying Li, Jiachen Zou, Quanying Liu
Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion. CoRR (2024)
Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu
CoCoG-2: Controllable generation of visual stimuli for understanding human concept representation. CoRR (2024)
Gaia Amaranta Taberna, Jessica Samogin, Mingqi Zhao, Marco Marino, Roberto Guarnieri, Ernesto Cuartas-Morales, Marco Ganzetti, Quanying Liu, Dante Mantini
Large-scale analysis of neural activity and connectivity from high-density electroencephalographic data. Comput. Biol. Medicine 178 (2024)
Xinke Shen, Lingyi Tao, Xuyang Chen, Sen Song, Quanying Liu, Dan Zhang
Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience. CoRR (2024)
Zhichao Liang, Yinuo Zhang, Jushen Wu, Quanying Liu
Reverse engineering the brain input: Network control theory to identify cognitive task-related control nodes. CoRR (2024)
Zhichao Liang, Guanyi Zhao, Yinuo Zhang, Weiting Sun, Jingzhe Lin, Jialin Wang, Quanying Liu
Suppressing seizure via optimal electrical stimulation to the hub of epileptic brain network. CoRR (2024)
Kexin Lou, Jingzhe Li, Markus Barth, Quanying Liu
A Data-Driven Framework for Whole-Brain Network Modeling with Simultaneous EEG-SEEG Data. Intelligent Information Processing (1) (2024)
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
Integration of cognitive tasks into artificial general intelligence test for large models. CoRR (2024)
Zhichao Liang, Zixiang Luo, Keyin Liu, Jingwei Qiu, Quanying Liu
Online Learning Koopman Operator for Closed-Loop Electrical Neurostimulation in Epilepsy. IEEE J. Biomed. Health Informatics 27 (1) (2023)
Mowen Yin, Weikai Huang, Zhichao Liang, Quanying Liu, Xiaoying Tang
Network Analysis on Cortical Morphometry in First-Episode Schizophrenia. IEEE Trans. Cogn. Dev. Syst. 15 (4) (2023)
Wanguang Yin, Zhengming Ma, Quanying Liu
Discriminative subspace learning via optimization on Riemannian manifold. Pattern Recognit. 139 (2023)
Ziyuan Ye, Rihan Huang, Qilin Wu, Quanying Liu
SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations. NeurIPS (2023)
Mo Wang, Kexin Lou, Zeming Liu, Pengfei Wei, Quanying Liu
Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain. NeuroImage 280 (2023)
Peizhen Yang, Xinke Shen, Zongsheng Li, Zixiang Luo, Kexin Lou, Quanying Liu
Perturbing a Neural Network to Infer Effective Connectivity: Evidence from Synthetic EEG Data. CoRR (2023)
Wanguang Yin, Zhichao Liang, Jianguo Zhang, Quanying Liu
Partial Least Square Regression via Three-Factor SVD-Type Manifold Optimization for EEG Decoding. PRCV (1) (2022)
Juan Wang, Ru Peng, Quanying Liu, Hong Peng
A Hybrid Classification to Detect Abstinent Heroin-Addicted Individuals Using EEG Microstates. IEEE Trans. Comput. Soc. Syst. 9 (3) (2022)
Shuhan Zheng, Zhichao Liang, Youzhi Qu, Qingyuan Wu, Haiyan Wu, Quanying Liu
Kuramoto Model-Based Analysis Reveals Oxytocin Effects on Brain Network Dynamics. Int. J. Neural Syst. 32 (2) (2022)
Wenwei Luo, Wanguang Yin, Quanying Liu, Youzhi Qu
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network. CoRR (2022)
Runpeng Hou, Ziyuan Ye, Chengyu Yang, Linhao Fu, Chao Liu, Quanying Liu
Immunofluorescence Capillary Imaging Segmentation: Cases Study. ACM Multimedia (2022)
Yikang Zhang, Shuo Zhang, Zhichao Liang, Hanran Luna Li, Haiyan Wu, Quanying Liu
Dynamical Driving Interactions between Human and Mentalizing-designed Autonomous Vehicle. ICDL (2022)
Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu
Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation. Neural Networks 145 (2022)
Luoyao Pang, Huidi Li, Quanying Liu, Yue-Jia Luo, Dean Mobbs, Haiyan Wu
Resting-state functional connectivity of social brain regions predicts motivated dishonesty. NeuroImage 256 (2022)
Youzhi Qu, Xinyao Jian, Wenxin Che, Penghui Du, Kai Fu, Quanying Liu
Transfer learning to decode brain states reflecting the relationship between cognitive tasks. CoRR (2022)
Wanguang Yin, Youzhi Qu, Zhengming Ma, Quanying Liu
HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction. Neurocomputing 512 (2022)
Runpeng Hou, Ziyuan Ye, Chengyu Yang, Linhao Fu, Chao Liu, Quanying Liu
Immunofluorescence Capillary Imaging Segmentation: Cases Study. CoRR (2022)
Youzhi Qu, Xinyao Jian, Wenxin Che, Penghui Du, Kai Fu, Quanying Liu
Transfer Learning to Decode Brain States Reflecting the Relationship Between Cognitive Tasks. HBAI@IJCAI (2022)
Wanguang Yin, Zhichao Liang, Jianguo Zhang, Quanying Liu
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding. CoRR (2022)
Ziyuan Ye, Youzhi Qu, Zhichao Liang, Mo Wang, Quanying Liu
Explainable fMRI-based Brain Decoding via Spatial Temporal-pyramid Graph Convolutional Network. CoRR (2022)
Mo Wang, Kexin Lou, Zeming Liu, Pengfei Wei, Quanying Liu
Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain. CoRR (2022)
Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu
Edge Sparse Basis Network: An Deep Learning Framework for EEG Source Localization. CoRR (2021)
Xuming Ran, Jie Zhang, Ziyuan Ye, Haiyan Wu, Qi Xu, Huihui Zhou, Quanying Liu
Deep Auto-encoder with Neural Response. CoRR (2021)
Jie Yuan, Xuming Ran, Keyin Liu, Chen Yao, Yi Yao, Haiyan Wu, Quanying Liu
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review. CoRR (2021)
Wanguang Yin, Zhengming Ma, Quanying Liu
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction. CoRR (2021)
Zhichao Liang, Zixiang Luo, Keyin Liu, Jingwei Qiu, Quanying Liu
Deep Koopman-operator based model predictive control for closed-loop electrical neurostimulation in epilepsy. CoRR (2021)
Wanguang Yin, Zhengming Ma, Quanying Liu
Riemannian-based Discriminant Analysis for Feature Extraction and Classification. CoRR (2021)
Quanying Liu, Christian Kurniawan, Chenxi Xu, Siddhant Jagtap, Xiyu Deng, Kexin Lou, Yong Sheng Soh, Yorie Nakahira
Axon Arbor Trade-off Between Wiring Cost, Delay, and Synchronization in Neuronal Networks. CISS (2021)
Junjie Yu, Chenyi Li, Kexin Lou, Chen Wei, Quanying Liu
Embedding Decomposition for Artifacts Removal in EEG Signals. CoRR (2021)
Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu
Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization. IJCNN (2021)
Haoming Zhang, Chen Wei, Mingqi Zhao, Quanying Liu, Haiyan Wu
A Novel Convolutional Neural Network Model to Remove Muscle Artifacts from EEG. ICASSP (2021)
Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation. CoRR (2020)
Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu
Bigeminal Priors Variational auto-encoder. CoRR (2020)
Yorie Nakahira, Quanying Liu, Natalie Bernat, Terrence J. Sejnowski, John Doyle
Theoretical foundations for layered architectures and speed-accuracy tradeoffs in sensorimotor control. ACC (2019)
Jessica Samogin, Quanying Liu, Marco Marino, Nicole Wenderoth, Dante Mantini
Shared and connection-specific intrinsic interactions in the default mode network. NeuroImage 200 (2019)
Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle
Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control. CoRR (2019)
Quanying Liu, Yorie Nakahira, Ahkeel Mohideen, Adam Dai, Sunghoon Choi, Angelina Pan, Dimitar Ho, John C. Doyle
Experimental and educational platforms for studying architecture and tradeoffs in human sensorimotor control. ACC (2019)
Quanying Liu, Haiyan Wu, Anqi Liu
Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning. CoRR (2019)
Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle
Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control. CoRR (2019)
Quanying Liu, Marco Ganzetti, Nicole Wenderoth, Dante Mantini
Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization. Frontiers Neuroinformatics 12 (2018)
Marco Ganzetti, Quanying Liu, Dante Mantini
A Spatial Registration Toolbox for Structural MR Imaging of the Aging Brain. Neuroinformatics 16 (2) (2018)
Bin Hu, Qinglin Zhao, Shuangshuang Zhou, Hong Peng, Quanying Liu
Risky Decision-Making in Abstinent Heroin Addicts: an ERP Study. ICBBT (2017)
Qinglin Zhao, Bin Hu, Wenhua Lin, Zhixue Li, Hua Jiang, Zhong Xue, Hongqian Li, Quanying Liu
Nonlinear dynamic analysis of resting EEG alpha activity for heroin addicts. BIBM (2016)
Mingqi Zhao, Qinglin Zhao, Quanying Liu, Na Li, Hong Peng, Bin Hu
A Humanoid Robot Used as an Assistive Intervention Tool for Children with Autism Spectrum Disorder: A Preliminary Research. Brain and Health Informatics (2013)
Hong Peng, Bin Hu, Lanlan Li, Martyn Ratcliffe, Jingwei Zhai, Qinglin Zhao, Qiuxia Shi, Yunpeng Li, Quanying Liu
A study on validity of cortical alpha connectivity for schizophrenia. EMBC (2013)
Hong Peng, Bin Hu, Quanying Liu, Qunxi Dong, Qinglin Zhao, Philip Moore
User-centered depression prevention: An EEG approach to pervasive healthcare. PervasiveHealth (2011)
Bin Hu, Quanying Liu, Qinglin Zhao, Yanbing Qi, Hong Peng
A Real-Time Electroencephalogram (EEG) Based Individual Identification Interface for Mobile Security in Ubiquitous Environment. APSCC (2011)
Qinglin Zhao, Hong Peng, Bin Hu, Quanying Liu, Li Liu, Yanbing Qi, Lanlan Li
Improving Individual Identification in Security Check with an EEG Based Biometric Solution. Brain Informatics (2010)
Qinglin Zhao, Hong Peng, Bin Hu, Lanlan Li, Yanbing Qi, Quanying Liu, Li Liu
Towards an Efficient and Accurate EEG Data Analysis in EEG-Based Individual Identification. UIC (2010)