Improving Individual Identification in Security Check with an EEG Based Biometric Solution. - Qinglin Zhao; Hong Peng 003; Bin Hu 001; Quanying Liu; Li Liu 001; Yanbing Qi; Lanlan Li (Brain Informatics, 2010)

Towards an Efficient and Accurate EEG Data Analysis in EEG-Based Individual Identification. - Qinglin Zhao; Hong Peng 003; Bin Hu 001; Lanlan Li; Yanbing Qi; Quanying Liu; Li Liu 001 (UIC, 2010)

Improve Affective Learning with EEG Approach. - Xiaowei Li 005; Qinglin Zhao; Bin Hu 001; Li Liu 001; Hong Peng 003; Yanbing Qi; Chengsheng Mao; Zheng Fang; Quanying Liu (Comput. Informatics, 2010)

A Real-Time Electroencephalogram (EEG) Based Individual Identification Interface for Mobile Security in Ubiquitous Environment. - Bin Hu 001; Quanying Liu; Qinglin Zhao; Yanbing Qi; Hong Peng 003 (APSCC, 2011)

User-centered depression prevention: An EEG approach to pervasive healthcare. - Hong Peng 003; Bin Hu 001; Quanying Liu; Qunxi Dong; Qinglin Zhao; Philip Moore 001 (PervasiveHealth, 2011)

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 003; Bin Hu 001 (Brain and Health Informatics, 2013)

A study on validity of cortical alpha connectivity for schizophrenia. - Hong Peng 003; Bin Hu 001; Lanlan Li; Martyn Ratcliffe; Jingwei Zhai; Qinglin Zhao; Qiuxia Shi; Yunpeng Li; Quanying Liu (EMBC, 2013)

Nonlinear dynamic analysis of resting EEG alpha activity for heroin addicts. - Qinglin Zhao; Bin Hu 001; Wenhua Lin; Zhixue Li; Hua Jiang; Zhong Xue; Hongqian Li; Quanying Liu (BIBM, 2016)

Risky Decision-Making in Abstinent Heroin Addicts: an ERP Study. - Bin Hu 001; Qinglin Zhao; Shuangshuang Zhou; Hong Peng 003; Quanying Liu (ICBBT, 2017)

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)

A Spatial Registration Toolbox for Structural MR Imaging of the Aging Brain. - Marco Ganzetti; Quanying Liu; Dante Mantini (Neuroinformatics, 2018)

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 001 (ACC, 2019)

Theoretical foundations for layered architectures and speed-accuracy tradeoffs in sensorimotor control. - Yorie Nakahira; Quanying Liu; Natalie Bernat; Terrence J. Sejnowski; John Doyle 001 (ACC, 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 001 (CoRR, 2019)

Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning. - Quanying Liu; Haiyan Wu; Anqi Liu (CoRR, 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 001 (CoRR, 2019)

Shared and connection-specific intrinsic interactions in the default mode network. - Jessica Samogin; Quanying Liu; Marco Marino; Nicole Wenderoth; Dante Mantini (NeuroImage, 2019)

Bigeminal Priors Variational auto-encoder. - Xuming Ran; Mingkun Xu; Qi Xu; Huihui Zhou; Quanying Liu (CoRR, 2020)

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 (CISS, 2021)

A Novel Convolutional Neural Network Model to Remove Muscle Artifacts from EEG. - Haoming Zhang; Chen Wei 006; Mingqi Zhao; Quanying Liu; Haiyan Wu (ICASSP, 2021)

Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization. - Chen Wei 006; Kexin Lou; Zhengyang Wang; Mingqi Zhao; Dante Mantini; Quanying Liu (IJCNN, 2021)

HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction. - Wanguang Yin; Zhengming Ma; Quanying Liu (CoRR, 2021)

Riemannian-based Discriminant Analysis for Feature Extraction and Classification. - Wanguang Yin; Zhengming Ma; 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)

Edge Sparse Basis Network: An Deep Learning Framework for EEG Source Localization. - Chen Wei 006; Kexin Lou; Zhengyang Wang; Mingqi Zhao; Dante Mantini; 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)

Deep Auto-encoder with Neural Response. - Xuming Ran; Jie Zhang; Ziyuan Ye; Haiyan Wu; Qi Xu; Huihui Zhou; Quanying Liu (CoRR, 2021)

Embedding Decomposition for Artifacts Removal in EEG Signals. - Junjie Yu; Chenyi Li; Kexin Lou; Chen Wei 006; Quanying Liu (CoRR, 2021)

Dynamical Driving Interactions between Human and Mentalizing-designed Autonomous Vehicle. - Yikang Zhang; Shuo Zhang; Zhichao Liang; Hanran Luna Li; Haiyan Wu; Quanying Liu (ICDL, 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 (HBAI@IJCAI, 2022)

Immunofluorescence Capillary Imaging Segmentation: Cases Study. - Runpeng Hou; Ziyuan Ye; Chengyu Yang; Linhao Fu; Chao Liu; Quanying Liu (ACM Multimedia, 2022)

Partial Least Square Regression via Three-Factor SVD-Type Manifold Optimization for EEG Decoding. - Wanguang Yin; Zhichao Liang; Jianguo Zhang 001; Quanying Liu (PRCV (1), 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)

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)

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)

HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction. - Wanguang Yin; Youzhi Qu; Zhengming Ma; Quanying Liu (Neurocomputing, 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)

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)

A Hybrid Classification to Detect Abstinent Heroin-Addicted Individuals Using EEG Microstates. - Juan Wang; Ru Peng; Quanying Liu; Hong Peng 003 (IEEE Trans. Comput. Soc. Syst., 2022)

SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations. - Ziyuan Ye; Rihan Huang; Qilin Wu; Quanying Liu (NeurIPS, 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)

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)

Discriminative subspace learning via optimization on Riemannian manifold. - Wanguang Yin; Zhengming Ma; Quanying Liu (Pattern Recognit., 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, 2023)

Network Analysis on Cortical Morphometry in First-Episode Schizophrenia. - Mowen Yin; Weikai Huang; Zhichao Liang; Quanying Liu; Xiaoying Tang 001 (IEEE Trans. Cogn. Dev. Syst., 2023)

Reverse engineering the brain input: Network control theory to identify cognitive task-related control nodes. - Zhichao Liang; Yinuo Zhang; Jushen Wu; Quanying Liu (EMBC, 2024)

Advancing EEG/MEG Source Imaging with Geometric-Informed Basis Functions. - Song Wang; Chen Wei 006; Kexin Lou; Dongfeng Gu; Quanying Liu (EMBC, 2024)

A Data-Driven Framework for Whole-Brain Network Modeling with Simultaneous EEG-SEEG Data. - Kexin Lou; Jingzhe Li; Markus Barth; Quanying Liu (IIP (1), 2024)

CoCoG: Controllable Visual Stimuli Generation Based on Human Concept Representations. - Chen Wei 006; Jiachen Zou; Dietmar Heinke; Quanying Liu (IJCAI, 2024)

Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion. - Dongyang Li; Chen Wei 006; Shiying Li; Jiachen Zou; Quanying Liu (NeurIPS, 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)

Integration of cognitive tasks into artificial general intelligence test for large models. - Youzhi Qu; Chen Wei 006; Penghui Du; Wenxin Che; Chi Zhang; Wanli Ouyang; Yatao Bian; Feiyang Xu; Bin Hu 001; Kai Du; Haiyan Wu; Jia Liu; et al. (CoRR, 2024)

Controlling network-coupled neural dynamics with nonlinear network control theory. - Zhongye Xia; Weibin Li; Zhichao Liang; Kexin Lou; 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)

Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents. - Menglong Zhang; Fuyuan Qian; 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)

CoCoG-2: Controllable generation of visual stimuli for understanding human concept representation. - Chen Wei 006; Jiachen Zou; Dietmar Heinke; Quanying Liu (CoRR, 2024)

RealMind: Zero-Shot EEG-Based Visual Decoding and Captioning Using Multi-Modal Models. - Dongyang Li; Haoyang Qin; Mingyang Wu; Yuang Cao; Chen Wei 006; Quanying Liu (CoRR, 2024)

Dynamic-Attention-based EEG State Transition Modeling for Emotion Recognition. - Xinke Shen; Runmin Gan; Kaixuan Wang; Shuyi Yang; Qingzhu Zhang; Quanying Liu; Dan Zhang 014; Sen Song (CoRR, 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 014 (NeuroImage, 2024)

The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing. - Xinwei Guo; Jiashi Gao; Junlei Zhou; Jiaxin Zhang; Guanhua Chen 001; Xiangyu Zhao 001; Quanying Liu; Haiyan Wu; Xin Yao 001; Xuetao Wei (ACL (Findings), 2025)

LLMs Trust Humans More, That's a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation. - Yuxuan Li; Xinwei Guo; Jiashi Gao; Guanhua Chen 001; Xiangyu Zhao 001; Jiaxin Zhang; Quanying Liu; Haiyan Wu; Xin Yao 001; Xuetao Wei (ACL (1), 2025)

Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning. - Menglong Zhang; Fuyuan Qian; Quanying Liu (ICLR, 2025)

Pinning synchronization of higher-order nonlinear networks with time delays. - Weibin Li; Kaixin Lu; Zhichao Liang; Zhongye Xia; Bo Liu 002; Yanshan Xiao; Quanying Liu (Neurocomputing, 2025)

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability. - Chen Wei 006; Chi Zhang; Jiachen Zou; Haotian Deng; Dietmar Heinke; Quanying Liu (CoRR, 2025)

Scale-Invariance Drives Convergence in AI and Brain Representations. - Junjie Yu; Wenxiao Ma; Jianyu Zhang; Haotian Deng; Zihan Deng; Yi Guo; Quanying Liu (CoRR, 2025)

BrainFLORA: Uncovering Brain Concept Representation via Multimodal Neural Embeddings. - Dongyang Li; Haoyang Qin; Mingyang Wu; Chen Wei 006; Quanying Liu (CoRR, 2025)

Uncovering the EEG Temporal Representation of Low-dimensional Object Properties. - Jiahua Tang; Song Wang; Jiachen Zou; Chen Wei 006; Quanying Liu (CoRR, 2025)

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering Human Perceptual Variability on Facial Expressions. - Haotian Deng; Chi Zhang; Chen Wei 006; Quanying Liu (CoRR, 2025)

Dimensions of Vulnerability in Visual Working Memory: An AI-Driven Approach to Perceptual Comparison. - Yuang Cao; Jiachen Zou; Chen Wei 006; Quanying Liu (CoRR, 2025)