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ORCIDQuanying Liu
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2020 – today
- 2024
[j15]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: 108704 (2024)- [j14]Xinke Shen, Lingyi Tao, Xuyang Chen, Sen Song, Quanying Liu, Dan Zhang:
Contrastive learning of shared spatiotemporal EEG representations across individuals for naturalistic neuroscience. NeuroImage 301: 120890 (2024) - [c20]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: 329-342 - [c19]Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu:
CoCoG: Controllable Visual Stimuli Generation Based on Human Concept Representations. IJCAI 2024: 3178-3186 - [i29]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 abs/2402.02547 (2024) - [i28]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 abs/2402.14213 (2024) - [i27]Dongyang Li, Chen Wei, Shiying Li, Jiachen Zou, Quanying Liu:
Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion. CoRR abs/2403.07721 (2024) - [i26]Zhichao Liang, Yinuo Zhang, Jushen Wu, Quanying Liu:
Reverse engineering the brain input: Network control theory to identify cognitive task-related control nodes. CoRR abs/2404.16357 (2024) - [i25]Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu:
CoCoG: Controllable Visual Stimuli Generation based on Human Concept Representations. CoRR abs/2404.16482 (2024) - [i24]Zhongye Xia, Weibin Li, Zhichao Liang, Kexin Lou, Quanying Liu:
Controlling network-coupled neural dynamics with nonlinear network control theory. CoRR abs/2405.06971 (2024) - [i23]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 abs/2406.09989 (2024) - [i22]Menglong Zhang, Fuyuan Qian, Quanying Liu:
Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents. CoRR abs/2406.12359 (2024) - [i21]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 abs/2407.00033 (2024) - [i20]Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu:
CoCoG-2: Controllable generation of visual stimuli for understanding human concept representation. CoRR abs/2407.14949 (2024) - 2023
- [j13]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: 120331 (2023) - [j12]Wanguang Yin, Zhengming Ma, Quanying Liu:
Discriminative subspace learning via optimization on Riemannian manifold. Pattern Recognit. 139: 109450 (2023) - [j11]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): 2228-2240 (2023) - [j10]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): 492-503 (2023) - [c18]Ziyuan Ye, Rihan Huang, Qilin Wu, Quanying Liu:
SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations. NeurIPS 2023 - [i19]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 abs/2307.09770 (2023) - 2022
- [j9]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): 2250002:1-2250002:15 (2022) - [j8]Wanguang Yin, Youzhi Qu, Zhengming Ma, Quanying Liu:
HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction. Neurocomputing 512: 190-202 (2022) - [j7]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: 119253 (2022) - [j6]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: 199-208 (2022) - [j5]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): 700-709 (2022) - [c17]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: 178-183 - [c16]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: 110-122 - [c15]Runpeng Hou, Ziyuan Ye, Chengyu Yang, Linhao Fu, Chao Liu, Quanying Liu:
Immunofluorescence Capillary Imaging Segmentation: Cases Study. ACM Multimedia 2022: 4830-4838 - [c14]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: 778-787 - [i18]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 abs/2206.03950 (2022) - [i17]Runpeng Hou, Ziyuan Ye, Chengyu Yang, Linhao Fu, Chao Liu, Quanying Liu:
Immunofluorescence Capillary Imaging Segmentation: Cases Study. CoRR abs/2207.06861 (2022) - [i16]Wanguang Yin, Zhichao Liang, Jianguo Zhang, Quanying Liu:
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding. CoRR abs/2208.04324 (2022) - [i15]Ziyuan Ye, Youzhi Qu, Zhichao Liang, Mo Wang, Quanying Liu:
Explainable fMRI-based Brain Decoding via Spatial Temporal-pyramid Graph Convolutional Network. CoRR abs/2210.05713 (2022) - [i14]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 abs/2211.05658 (2022) - [i13]Wenwei Luo, Wanguang Yin, Quanying Liu, Youzhi Qu:
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network. CoRR abs/2212.05289 (2022) - 2021
- [c13]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: 1-6 - [c12]Haoming Zhang, Chen Wei, Mingqi Zhao, Quanying Liu, Haiyan Wu:
A Novel Convolutional Neural Network Model to Remove Muscle Artifacts from EEG. ICASSP 2021: 1265-1269 - [c11]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: 1-8 - [i12]Wanguang Yin, Zhengming Ma, Quanying Liu:
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction. CoRR abs/2101.06827 (2021) - [i11]Wanguang Yin, Zhengming Ma, Quanying Liu:
Riemannian-based Discriminant Analysis for Feature Extraction and Classification. CoRR abs/2101.08032 (2021) - [i10]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 abs/2102.03336 (2021) - [i9]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 abs/2102.09188 (2021) - [i8]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 abs/2103.14321 (2021) - [i7]Xuming Ran, Jie Zhang, Ziyuan Ye, Haiyan Wu, Qi Xu, Huihui Zhou, Quanying Liu:
Deep Auto-encoder with Neural Response. CoRR abs/2111.15309 (2021) - [i6]Junjie Yu, Chenyi Li, Kexin Lou, Chen Wei, Quanying Liu:
Embedding Decomposition for Artifacts Removal in EEG Signals. CoRR abs/2112.00989 (2021) - 2020
- [i5]Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu:
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation. CoRR abs/2007.08128 (2020) - [i4]Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu:
Bigeminal Priors Variational auto-encoder. CoRR abs/2010.01819 (2020)
2010 – 2019
- 2019
- [j4]Jessica Samogin, Quanying Liu, Marco Marino, Nicole Wenderoth, Dante Mantini:
Shared and connection-specific intrinsic interactions in the default mode network. NeuroImage 200: 474-481 (2019) - [c10]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: 483-488 - [c9]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: 809-814 - [i3]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 abs/1906.00905 (2019) - [i2]Quanying Liu, Haiyan Wu, Anqi Liu:
Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning. CoRR abs/1906.05803 (2019) - [i1]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 abs/1909.08601 (2019) - 2018
- [j3]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: 4 (2018) - [j2]Marco Ganzetti, Quanying Liu, Dante Mantini:
A Spatial Registration Toolbox for Structural MR Imaging of the Aging Brain. Neuroinformatics 16(2): 167-179 (2018) - 2017
- [c8]Bin Hu, Qinglin Zhao, Shuangshuang Zhou, Hong Peng, Quanying Liu:
Risky Decision-Making in Abstinent Heroin Addicts: an ERP Study. ICBBT 2017: 33-38 - 2016
- [c7]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: 533-537 - 2013
- [c6]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: 336-347 - [c5]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: 3286-3290 - 2011
- [c4]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: 436-441 - [c3]Hong Peng, Bin Hu, Quanying Liu, Qunxi Dong, Qinglin Zhao, Philip Moore:
User-centered depression prevention: An EEG approach to pervasive healthcare. PervasiveHealth 2011: 325-330 - 2010
- [j1]Xiaowei Li, Qinglin Zhao, Bin Hu, Li Liu, Hong Peng, Yanbing Qi, Chengsheng Mao, Zheng Fang, Quanying Liu:
Improve Affective Learning with EEG Approach. Comput. Informatics 29(4): 557-570 (2010) - [c2]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: 145-155 - [c1]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: 534-547
Coauthor Index
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