Quanying Liu - RankMe

102 papers A* 11A 1B 4C 4Misc 2Journal 66Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DCHO: A Decomposition-Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications. AAAI Weibin Li, Wendu Li, Quanying Liu
2026	J	`jnl`	Forecasting Epileptic Seizures from Contactless Camera via Cross-Species Transfer Learning. CoRR Mingkai Zhai, Wei Wang, Zongsheng Li, Quanying Liu
2026	J	`jnl`	Local Intrinsic Dimension of Representations Predicts Alignment and Generalization in AI Models and Human Brain. CoRR Junjie Yu, Wenxiao Ma, Chen Wei, Jianyu Zhang, Haotian Deng, Zihan Deng, Quanying Liu
2026	J	`jnl`	MindPilot: Closed-loop Visual Stimulation Optimization for Brain Modulation with EEG-guided Diffusion. CoRR Dongyang Li, Kunpeng Xie, Mingyang Wu, Yiwei Kong, Jiahua Tang, Haoyang Qin, Chen Wei, Quanying Liu
2026	J	`jnl`	Omni-fMRI: A Universal Atlas-Free fMRI Foundation Model. CoRR Mo Wang, Wenhao Ye, Junfeng Xia, Junxiang Zhang, Xuanye Pan, Minghao Xu, Haotian Deng, Hongkai Wen, Quanying Liu
2026	A*	`conf`	The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models. AAAI Xinwei Guo, Jiashi Gao, Junlei Zhou, Jiaxin Zhang, Quanying Liu, Haiyan Wu, Xin Yao, Xuetao Wei
2026	J	`jnl`	Understanding Generalization from Embedding Dimension and Distributional Convergence. CoRR Junjie Yu, Zhuoli Ouyang, Haotian Deng, Chen Wei, Wenxiao Ma, Jianyu Zhang, Zihan Deng, Quanying Liu
2026	A*	`conf`	When Proxy Agents Disagree, Do Humans Mirror? Manipulating Human Behavior in Moral Dilemmas Through Agents. AAAI Haotian Deng, Sitian Wang, Ruxin Wang, Chen Wei, Quanying Liu
2025	J	`jnl`	Artificial intelligence as a surrogate brain: Bridging neural dynamical models and data. CoRR Yinuo Zhang, Demao Liu, Zhichao Liang, Jiani Cheng, Kexin Lou, Jinqiao Duan, Ting Gao, Bin Hu, Quanying Liu
2025	A*	`conf`	BrainFLORA: Uncovering Brain Concept Representation via Multimodal Neural Embeddings. ACM Multimedia Dongyang Li, Haoyang Qin, Mingyang Wu, Chen Wei, Quanying Liu
2025	J	`jnl`	BrainFLORA: Uncovering Brain Concept Representation via Multimodal Neural Embeddings. CoRR Dongyang Li, Haoyang Qin, Mingyang Wu, Chen Wei, Quanying Liu
2025	J	`jnl`	Computational Modeling for Personalized Transcranial Electrical Stimulation: Theory, Tools, and Applications. CoRR Mo Wang, Kexin Zheng, Yiling Liu, Huichun Luo, Tifei Yuan, Hongkai Wen, Pengfei Wei, Quanying Liu
2025	J	`jnl`	DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases. CoRR Mo Wang, Kaining Peng, Jingsheng Tang, Hongkai Wen, Quanying Liu
2025	J	`jnl`	DCHO: A Decomposition-Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications. CoRR Weibin Li, Wendu Li, Quanying Liu
2025	B	`conf`	Dimensions of Vulnerability in Visual Working Memory: An AI-Driven Approach to Perceptual Comparison. CogSci Yuang Cao, Jiachen Zou, Chen Wei, Quanying Liu
2025	J	`jnl`	Dimensions of Vulnerability in Visual Working Memory: An AI-Driven Approach to Perceptual Comparison. CoRR Yuang Cao, Jiachen Zou, Chen Wei, Quanying Liu
2025	J	`jnl`	Diversity Deconstrains Component Limitations in Sensorimotor Control. Neural Comput. Yorie Nakahira, Quanying Liu, Xiyu Deng, Terrence J. Sejnowski, John Doyle
2025	J	`jnl`	Dynamic-Attention-Based EEG State Transition Modeling for Emotion Recognition. IEEE Trans. Affect. Comput. Xinke Shen, Runmin Gan, Kaixuan Wang, Shuyi Yang, Qingzhu Zhang, Quanying Liu, Dan Zhang, Sen Song
2025	—	`conf`	LLMs Trust Humans More, That's a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation. ACL (1) Yuxuan Li, Xinwei Guo, Jiashi Gao, Guanhua Chen, Xiangyu Zhao, Jiaxin Zhang, Quanying Liu, Haiyan Wu, Xin Yao, Xuetao Wei
2025	A*	`conf`	Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning. ICLR Menglong Zhang, Fuyuan Qian, Quanying Liu
2025	A*	`conf`	Mitigating Stereotypes in Text-to-Image Generation: A Novel Perspective of Selective Neural Suppression. ACM Multimedia Junlei Zhou, Jiashi Gao, Xinwei Guo, Haiyan Wu, Quanying Liu, Xiangyu Zhao, Hongxin Wei, Xin Yao, Xuetao Wei
2025	J	`jnl`	Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing. CoRR Qingzhu Zhang, Jiani Zhong, Zongsheng Li, Xinke Shen, Quanying Liu
2025	J	`jnl`	Pinning synchronization of higher-order nonlinear networks with time delays. Neurocomputing Weibin Li, Kaixin Lu, Zhichao Liang, Zhongye Xia, Bo Liu, Yanshan Xiao, Quanying Liu
2025	A	`conf`	RealMind: Advancing Visual Decoding and Language Interaction via EEG Signals. ICME Dongyang Li, Haoyang Qin, Mingyang Wu, Jiahua Tang, Chen Wei, Quanying Liu
2025	J	`jnl`	SLIM-Brain: A Data- and Training-Efficient Foundation Model for fMRI Data Analysis. CoRR Mo Wang, Junfeng Xia, Wenhao Ye, Enyu Liu, Kaining Peng, Jianfeng Feng, Quanying Liu, Hongkai Wen
2025	J	`jnl`	Scale-Invariance Drives Convergence in AI and Brain Representations. CoRR Junjie Yu, Wenxiao Ma, Jianyu Zhang, Haotian Deng, Zihan Deng, Yi Guo, Quanying Liu
2025	B	`conf`	Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering Human Perceptual Variability on Facial Expressions. IJCNN Haotian Deng, Chi Zhang, Chen Wei, Quanying Liu
2025	J	`jnl`	Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering Human Perceptual Variability on Facial Expressions. CoRR Haotian Deng, Chi Zhang, Chen Wei, Quanying Liu
2025	A*	`conf`	Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability. ICML Chen Wei, Chi Zhang, Jiachen Zou, Haotian Deng, Dietmar Heinke, Quanying Liu
2025	J	`jnl`	Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability. CoRR Chen Wei, Chi Zhang, Jiachen Zou, Haotian Deng, Dietmar Heinke, Quanying Liu
2025	—	`conf`	The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing. ACL (Findings) Xinwei Guo, Jiashi Gao, Junlei Zhou, Jiaxin Zhang, Guanhua Chen, Xiangyu Zhao, Quanying Liu, Haiyan Wu, Xin Yao, Xuetao Wei
2025	B	`conf`	Uncovering the EEG Temporal Representation of Low-dimensional Object Properties. IJCNN Jiahua Tang, Song Wang, Jiachen Zou, Chen Wei, Quanying Liu
2025	J	`jnl`	Uncovering the EEG Temporal Representation of Low-dimensional Object Properties. CoRR Jiahua Tang, Song Wang, Jiachen Zou, Chen Wei, Quanying Liu
2024	—	`conf`	A Data-Driven Framework for Whole-Brain Network Modeling with Simultaneous EEG-SEEG Data. IIP (1) Kexin Lou, Jingzhe Li, Markus Barth, Quanying Liu
2024	—	`conf`	Advancing EEG/MEG Source Imaging with Geometric-Informed Basis Functions. EMBC Song Wang, Chen Wei, Kexin Lou, Dongfeng Gu, Quanying Liu
2024	J	`jnl`	CoCoG-2: Controllable generation of visual stimuli for understanding human concept representation. CoRR Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu
2024	A*	`conf`	CoCoG: Controllable Visual Stimuli Generation Based on Human Concept Representations. IJCAI Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu
2024	J	`jnl`	CoCoG: Controllable Visual Stimuli Generation based on Human Concept Representations. CoRR Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu
2024	J	`jnl`	Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience. CoRR Xinke Shen, Lingyi Tao, Xuyang Chen, Sen Song, Quanying Liu, Dan Zhang
2024	J	`jnl`	Contrastive learning of shared spatiotemporal EEG representations across individuals for naturalistic neuroscience. NeuroImage Xinke Shen, Lingyi Tao, Xuyang Chen, Sen Song, Quanying Liu, Dan Zhang
2024	J	`jnl`	Controlling network-coupled neural dynamics with nonlinear network control theory. CoRR Zhongye Xia, Weibin Li, Zhichao Liang, Kexin Lou, Quanying Liu
2024	J	`jnl`	Dynamic-Attention-based EEG State Transition Modeling for Emotion Recognition. CoRR Xinke Shen, Runmin Gan, Kaixuan Wang, Shuyi Yang, Qingzhu Zhang, Quanying Liu, Dan Zhang, Sen Song
2024	J	`jnl`	Integration of cognitive tasks into artificial general intelligence test for large models. CoRR 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
2024	J	`jnl`	Large-scale analysis of neural activity and connectivity from high-density electroencephalographic data. Comput. Biol. Medicine Gaia Amaranta Taberna, Jessica Samogin, Mingqi Zhao, Marco Marino, Roberto Guarnieri, Ernesto Cuartas-Morales, Marco Ganzetti, Quanying Liu, Dante Mantini
2024	J	`jnl`	Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents. CoRR Menglong Zhang, Fuyuan Qian, Quanying Liu
2024	J	`jnl`	RealMind: Zero-Shot EEG-Based Visual Decoding and Captioning Using Multi-Modal Models. CoRR Dongyang Li, Haoyang Qin, Mingyang Wu, Yuang Cao, Chen Wei, Quanying Liu
2024	—	`conf`	Reverse engineering the brain input: Network control theory to identify cognitive task-related control nodes. EMBC Zhichao Liang, Yinuo Zhang, Jushen Wu, Quanying Liu
2024	J	`jnl`	Reverse engineering the brain input: Network control theory to identify cognitive task-related control nodes. CoRR Zhichao Liang, Yinuo Zhang, Jushen Wu, Quanying Liu
2024	J	`jnl`	Suppressing seizure via optimal electrical stimulation to the hub of epileptic brain network. CoRR Zhichao Liang, Guanyi Zhao, Yinuo Zhang, Weiting Sun, Jingzhe Lin, Jialin Wang, Quanying Liu
2024	J	`jnl`	Uncovering cognitive taskonomy through transfer learning in masked autoencoder-based fMRI reconstruction. CoRR Youzhi Qu, Junfeng Xia, Xinyao Jian, Wendu Li, Kaining Peng, Zhichao Liang, Haiyan Wu, Quanying Liu
2024	A*	`conf`	Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion. NeurIPS Dongyang Li, Chen Wei, Shiying Li, Jiachen Zou, Quanying Liu
2024	J	`jnl`	Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion. CoRR Dongyang Li, Chen Wei, Shiying Li, Jiachen Zou, Quanying Liu
2023	J	`jnl`	Discriminative subspace learning via optimization on Riemannian manifold. Pattern Recognit. Wanguang Yin, Zhengming Ma, Quanying Liu
2023	J	`jnl`	Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain. NeuroImage Mo Wang, Kexin Lou, Zeming Liu, Pengfei Wei, Quanying Liu
2023	J	`jnl`	Network Analysis on Cortical Morphometry in First-Episode Schizophrenia. IEEE Trans. Cogn. Dev. Syst. Mowen Yin, Weikai Huang, Zhichao Liang, Quanying Liu, Xiaoying Tang
2023	J	`jnl`	Online Learning Koopman Operator for Closed-Loop Electrical Neurostimulation in Epilepsy. IEEE J. Biomed. Health Informatics Zhichao Liang, Zixiang Luo, Keyin Liu, Jingwei Qiu, Quanying Liu
2023	J	`jnl`	Perturbing a Neural Network to Infer Effective Connectivity: Evidence from Synthetic EEG Data. CoRR Peizhen Yang, Xinke Shen, Zongsheng Li, Zixiang Luo, Kexin Lou, Quanying Liu
2023	A*	`conf`	SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations. NeurIPS Ziyuan Ye, Rihan Huang, Qilin Wu, Quanying Liu
2022	J	`jnl`	A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network. CoRR Wenwei Luo, Wanguang Yin, Quanying Liu, Youzhi Qu
2022	J	`jnl`	A Hybrid Classification to Detect Abstinent Heroin-Addicted Individuals Using EEG Microstates. IEEE Trans. Comput. Soc. Syst. Juan Wang, Ru Peng, Quanying Liu, Hong Peng
2022	J	`jnl`	Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation. Neural Networks Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu
2022	—	`conf`	Dynamical Driving Interactions between Human and Mentalizing-designed Autonomous Vehicle. ICDL Yikang Zhang, Shuo Zhang, Zhichao Liang, Hanran Luna Li, Haiyan Wu, Quanying Liu
2022	J	`jnl`	Explainable fMRI-based Brain Decoding via Spatial Temporal-pyramid Graph Convolutional Network. CoRR Ziyuan Ye, Youzhi Qu, Zhichao Liang, Mo Wang, Quanying Liu
2022	J	`jnl`	HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction. Neurocomputing Wanguang Yin, Youzhi Qu, Zhengming Ma, Quanying Liu
2022	A*	`conf`	Immunofluorescence Capillary Imaging Segmentation: Cases Study. ACM Multimedia Runpeng Hou, Ziyuan Ye, Chengyu Yang, Linhao Fu, Chao Liu, Quanying Liu
2022	J	`jnl`	Immunofluorescence Capillary Imaging Segmentation: Cases Study. CoRR Runpeng Hou, Ziyuan Ye, Chengyu Yang, Linhao Fu, Chao Liu, Quanying Liu
2022	J	`jnl`	Kuramoto Model-Based Analysis Reveals Oxytocin Effects on Brain Network Dynamics. Int. J. Neural Syst. Shuhan Zheng, Zhichao Liang, Youzhi Qu, Qingyuan Wu, Haiyan Wu, Quanying Liu
2022	J	`jnl`	Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain. CoRR Mo Wang, Kexin Lou, Zeming Liu, Pengfei Wei, Quanying Liu
2022	—	`conf`	Partial Least Square Regression via Three-Factor SVD-Type Manifold Optimization for EEG Decoding. PRCV (1) Wanguang Yin, Zhichao Liang, Jianguo Zhang, Quanying Liu
2022	J	`jnl`	Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding. CoRR Wanguang Yin, Zhichao Liang, Jianguo Zhang, Quanying Liu
2022	J	`jnl`	Resting-state functional connectivity of social brain regions predicts motivated dishonesty. NeuroImage Luoyao Pang, Huidi Li, Quanying Liu, Yue-Jia Luo, Dean Mobbs, Haiyan Wu
2022	—	`conf`	Transfer Learning to Decode Brain States Reflecting the Relationship Between Cognitive Tasks. HBAI@IJCAI Youzhi Qu, Xinyao Jian, Wenxin Che, Penghui Du, Kai Fu, Quanying Liu
2022	J	`jnl`	Transfer learning to decode brain states reflecting the relationship between cognitive tasks. CoRR Youzhi Qu, Xinyao Jian, Wenxin Che, Penghui Du, Kai Fu, Quanying Liu
2021	Misc	`conf`	A Novel Convolutional Neural Network Model to Remove Muscle Artifacts from EEG. ICASSP Haoming Zhang, Chen Wei, Mingqi Zhao, Quanying Liu, Haiyan Wu
2021	Misc	`conf`	Axon Arbor Trade-off Between Wiring Cost, Delay, and Synchronization in Neuronal Networks. CISS Quanying Liu, Christian Kurniawan, Chenxi Xu, Siddhant Jagtap, Xiyu Deng, Kexin Lou, Yong Sheng Soh, Yorie Nakahira
2021	J	`jnl`	Deep Auto-encoder with Neural Response. CoRR Xuming Ran, Jie Zhang, Ziyuan Ye, Haiyan Wu, Qi Xu, Huihui Zhou, Quanying Liu
2021	J	`jnl`	Deep Koopman-operator based model predictive control for closed-loop electrical neurostimulation in epilepsy. CoRR Zhichao Liang, Zixiang Luo, Keyin Liu, Jingwei Qiu, Quanying Liu
2021	B	`conf`	Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization. IJCNN Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu
2021	J	`jnl`	Edge Sparse Basis Network: An Deep Learning Framework for EEG Source Localization. CoRR Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu
2021	J	`jnl`	Embedding Decomposition for Artifacts Removal in EEG Signals. CoRR Junjie Yu, Chenyi Li, Kexin Lou, Chen Wei, Quanying Liu
2021	J	`jnl`	HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction. CoRR Wanguang Yin, Zhengming Ma, Quanying Liu
2021	J	`jnl`	Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review. CoRR Jie Yuan, Xuming Ran, Keyin Liu, Chen Yao, Yi Yao, Haiyan Wu, Quanying Liu
2021	J	`jnl`	Riemannian-based Discriminant Analysis for Feature Extraction and Classification. CoRR Wanguang Yin, Zhengming Ma, Quanying Liu
2020	J	`jnl`	Bigeminal Priors Variational auto-encoder. CoRR Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu
2020	J	`jnl`	Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation. CoRR Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu
2019	J	`jnl`	Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control. CoRR Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle
2019	C	`conf`	Experimental and educational platforms for studying architecture and tradeoffs in human sensorimotor control. ACC Quanying Liu, Yorie Nakahira, Ahkeel Mohideen, Adam Dai, Sunghoon Choi, Angelina Pan, Dimitar Ho, John C. Doyle
2019	J	`jnl`	Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control. CoRR Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle
2019	J	`jnl`	Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning. CoRR Quanying Liu, Haiyan Wu, Anqi Liu
2019	J	`jnl`	Shared and connection-specific intrinsic interactions in the default mode network. NeuroImage Jessica Samogin, Quanying Liu, Marco Marino, Nicole Wenderoth, Dante Mantini
2019	C	`conf`	Theoretical foundations for layered architectures and speed-accuracy tradeoffs in sensorimotor control. ACC Yorie Nakahira, Quanying Liu, Natalie Bernat, Terrence J. Sejnowski, John Doyle
2018	J	`jnl`	A Spatial Registration Toolbox for Structural MR Imaging of the Aging Brain. Neuroinformatics Marco Ganzetti, Quanying Liu, Dante Mantini
2018	J	`jnl`	Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization. Frontiers Neuroinformatics Quanying Liu, Marco Ganzetti, Nicole Wenderoth, Dante Mantini
2017	—	`conf`	Risky Decision-Making in Abstinent Heroin Addicts: an ERP Study. ICBBT Bin Hu, Qinglin Zhao, Shuangshuang Zhou, Hong Peng, Quanying Liu
2016	—	`conf`	Nonlinear dynamic analysis of resting EEG alpha activity for heroin addicts. BIBM Qinglin Zhao, Bin Hu, Wenhua Lin, Zhixue Li, Hua Jiang, Zhong Xue, Hongqian Li, Quanying Liu
2013	—	`conf`	A Humanoid Robot Used as an Assistive Intervention Tool for Children with Autism Spectrum Disorder: A Preliminary Research. Brain and Health Informatics Mingqi Zhao, Qinglin Zhao, Quanying Liu, Na Li, Hong Peng, Bin Hu
2013	—	`conf`	A study on validity of cortical alpha connectivity for schizophrenia. EMBC Hong Peng, Bin Hu, Lanlan Li, Martyn Ratcliffe, Jingwei Zhai, Qinglin Zhao, Qiuxia Shi, Yunpeng Li, Quanying Liu
2011	C	`conf`	A Real-Time Electroencephalogram (EEG) Based Individual Identification Interface for Mobile Security in Ubiquitous Environment. APSCC Bin Hu, Quanying Liu, Qinglin Zhao, Yanbing Qi, Hong Peng
2011	—	`conf`	User-centered depression prevention: An EEG approach to pervasive healthcare. PervasiveHealth Hong Peng, Bin Hu, Quanying Liu, Qunxi Dong, Qinglin Zhao, Philip Moore
2010	J	`jnl`	Improve Affective Learning with EEG Approach. Comput. Informatics Xiaowei Li, Qinglin Zhao, Bin Hu, Li Liu, Hong Peng, Yanbing Qi, Chengsheng Mao, Zheng Fang, Quanying Liu
2010	—	`conf`	Improving Individual Identification in Security Check with an EEG Based Biometric Solution. Brain Informatics Qinglin Zhao, Hong Peng, Bin Hu, Quanying Liu, Li Liu, Yanbing Qi, Lanlan Li
2010	C	`conf`	Towards an Efficient and Accurate EEG Data Analysis in EEG-Based Individual Identification. UIC Qinglin Zhao, Hong Peng, Bin Hu, Lanlan Li, Yanbing Qi, Quanying Liu, Li Liu