Peiyang Li

According to our database, Peiyang Li authored at least 47 papers between 2013 and 2024.

Collaborative distances:

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

2024

Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition.

Cunbo Li, Peiyang Li, Zhaojin Chen, Lei Yang, Fali Li, Feng Wan, Zehong Cao, Dezhong Yao, Bao-Liang Lu, Peng Xu

IEEE Trans. Syst. Man Cybern. Syst., December, 2024

Granger Causal Inference Based on Dual Laplacian Distribution and Its Application to MI-BCI Classification.

Peiyang Li, Xiaohui Gao, Cunbo Li, Chanlin Yi, Weijie Huang, Yajing Si, Fali Li, Zehong Cao, Yin Tian, Peng Xu

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks.

Cunbo Li, Peiyang Li, Yangsong Zhang, Ning Li, Yajing Si, Fali Li, Zehong Cao, Huafu Chen, Badong Chen, Dezhong Yao, Peng Xu

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Relationship Between Decision Making and Resting-State EEG in Adolescents With Different Emotional Stabilities.

Yajing Si, Lin Jiang, Peiyang Li, Baodan Chen, Feng Wan, Jing Yu, Dezhong Yao, Fali Li, Peng Xu

IEEE Trans. Cogn. Dev. Syst., February, 2024

LinBridge: A Learnable Framework for Interpreting Nonlinear Neural Encoding Models.

Xiaohui Gao, Yue Cheng, Peiyang Li, Yijie Niu, Yifan Ren, Yiheng Liu, Haiyang Sun, Zhuoyi Li, Weiwei Xing, Xintao Hu

CoRR, 2024

Governing equation discovery of a complex system from snapshots.

Qunxi Zhu, Bolin Zhao, Jingdong Zhang, Peiyang Li, Wei Lin

CoRR, 2024

P/D-Serve: Serving Disaggregated Large Language Model at Scale.

Yibo Jin, Tao Wang, Huimin Lin, Mingyang Song, Peiyang Li, Yipeng Ma, Yicheng Shan, Zhengfan Yuan, Cailong Li, Yajing Sun, Tiandeng Wu, Xing Chu, Ruizhi Huan, Li Ma, Xiao You, Wenting Zhou, Yunpeng Ye, Wen Liu, Xiangkun Xu, Yongsheng Zhang, Tiantian Dong, Jiawei Zhu, Zhe Wang, Xijian Ju, Jianxun Song, Haoliang Cheng, Xiaojing Li, Jiandong Ding, Hefei Guo, Zhengyong Zhang

CoRR, 2024

Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems.

Tianyu Cui, Yanling Wang, Chuanpu Fu, Yong Xiao, Sijia Li, Xinhao Deng, Yunpeng Liu, Qinglin Zhang, Ziyi Qiu, Peiyang Li, Zhixing Tan, Junwu Xiong, Xinyu Kong, Zujie Wen, Ke Xu, Qi Li

CoRR, 2024

Enhancing Fraud Transaction Detection via Unlabeled Suspicious Records.

Ye Wang, Yunpeng Liu, Ningtao Wang, Peiyang Li, Jiahao Hu, Xing Fu, Weiqiang Wang, Kun Sun, Qi Li, Ke Xu

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

A Novel Robust Sparse Granger Causality Inference Method and Its Application in MI EEG.

Pengcheng Zhu, Cunbo Li, Peiyang Li, Fali Li, Dezhong Yao, Peng Xu

Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024

Robust estimation of sparse EEG source based on Laplacian distribution.

Yuzuo Liu, Peiyang Li, Ziyi Wang, Xiaohui Gao, Chengcheng Tang, Yin Tian

Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024

Lifting by Image - Leveraging Image Cues for Accurate 3D Human Pose Estimation.

Feng Zhou, Jianqin Yin, Peiyang Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cueing effect of attention among nurses with different anxiety levels: an EEG study.

Yajing Si, Peiyang Li, Xinge Wang, Guiying Yao, Congcong Liu, Yize Liu, Jiajia Zhang, Hongxing Zhang, Yanyan Luo

Medical Biol. Eng. Comput., September, 2023

Robust Bayesian Estimation of EEG-Based Brain Causality Networks.

Ke Liu, Qin Lai, Peiyang Li, Zhuliang Yu, Bin Xiao, Cuntai Guan, Wei Wu

IEEE Trans. Biomed. Eng., June, 2023

A novel robust Student's <i>t</i>-based Granger causality for EEG based brain network analysis.

Xiaohui Gao, Weijie Huang, Yize Liu, Yinuo Zhang, Jiamin Zhang, Cunbo Li, Joyce Chelangat Bore, Zhenyu Wang, Yajing Si, Yin Tian, Peiyang Li

Biomed. Signal Process. Control., 2023

OAT: An Optimized Android Testing Framework Based on Reinforcement Learning.

Mengjun Du, Peiyang Li, Lian Song, W. K. Chan, Bo Jiang

Proceedings of the Theoretical Aspects of Software Engineering, 2023

CAPS: An Efficient Whole-Program Critical Paths Search Framework for Large-Scale Software.

Peiyang Li, Zixin Liu, Yuening Su, Hao Wang, Bo Jiang

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains.

Peiyang Li, Ye Wang, Qi Li, Zhuotao Liu, Ke Xu, Ju Ren, Zhiying Liu, Ruilin Lin

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

A Novel Method for Constructing EEG Large-Scale Cortical Dynamical Functional Network Connectivity (dFNC): WTCS.

Chanlin Yi, Ruwei Yao, Liuyi Song, Lin Jiang, Yajing Si, Peiyang Li, Fali Li, Dezhong Yao, Yu Zhang, Peng Xu

IEEE Trans. Cybern., 2022

Verifying the Quality of Outsourced Training on Clouds.

Peiyang Li, Ye Wang, Zhuotao Liu, Ke Xu, Qian Wang, Chao Shen, Qi Li

Proceedings of the Computer Security - ESORICS 2022, 2022

A Novel Discharge Electrode Structure to Increase the Times of Shockwaves Generation.

Chengxi Li, Rui Zhang, Weiwei Shao, Peiyang Li, Yaoyao Cui, Chi Wang

Proceedings of the 5th International Conference on Electronics and Electrical Engineering Technology, 2022

2021

A Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging.

Joyce Chelangat Bore, Peiyang Li, Lin Jiang, Walid Mohammed Ahmed Ayedh, Chunli Chen, Dennis Joe Harmah, Dezhong Yao, Zehong Cao, Peng Xu

IEEE Trans. Medical Imaging, 2021

Decision-Feedback Stages Revealed by Hidden Markov Modeling of EEG.

Qin Tao, Yajing Si, Fali Li, Peiyang Li, Yuqin Li, Shu Zhang, Feng Wan, Dezhong Yao, Peng Xu

Int. J. Neural Syst., 2021

Learning a Push-Recovery Controller for Quadrupedal Robots.

Peiyang Li, Wei Chen, Xinyu Han, Mingguo Zhao

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

2020

A Time-efficient Multi-Protocol Probe Scheme for Fine-grain IoT Device Identification.

Dan Yu, Peiyang Li, Yongle Chen, Yao Ma, Junjie Chen

Sensors, 2020

Directed EEG neural network analysis by LAPPS (p≤1) Penalized sparse Granger approach.

Joyce Chelangat Bore, Peiyang Li, Dennis Joe Harmah, Fali Li, Dezhong Yao, Peng Xu

Neural Networks, 2020

Predicting individual decision-making responses based on single-trial EEG.

Yajing Si, Fali Li, Keyi Duan, Qin Tao, Cunbo Li, Zehong Cao, Yangsong Zhang, Bharat B. Biswal, Peiyang Li, Dezhong Yao, Peng Xu

NeuroImage, 2020

Separated Channel Attention Convolutional Neural Network (SC-CNN-Attention) to Identify ADHD in Multi-Site Rs-fMRI Dataset.

Tao Zhang, Cunbo Li, Peiyang Li, Yueheng Peng, Xiaodong Kang, Chenyang Jiang, Fali Li, Xuyang Zhu, Dezhong Yao, Bharat B. Biswal, Peng Xu

Entropy, 2020

Robust brain causality network construction based on Bayesian multivariate autoregression.

Peiyang Li, Xiaoye Huang, Xuyang Zhu, Cunbo Li, Huan Liu, Weiwei Zhou, Joyce Chelangat Bore, Tao Zhang, Yangsong Zhang, Dezhong Yao, Peng Xu

Biomed. Signal Process. Control., 2020

EEG-Based Emotion Recognition Using Convolutional Neural Network with Functional Connections.

Hongbo Wang, Ke Liu, Feifei Qi, Xin Deng, Peiyang Li

Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

2019

EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations.

Peiyang Li, Huan Liu, Yajing Si, Cunbo Li, Fali Li, Xuyang Zhu, Xiaoye Huang, Ying Zeng, Dezhong Yao, Yangsong Zhang, Peng Xu

IEEE Trans. Biomed. Eng., 2019

Sparse EEG Source Localization Using LAPPS: Least Absolute l-P (0<p<1) Penalized Solution.

Joyce Chelangat Bore, Chanlin Yi, Peiyang Li, Fali Li, Dennis Joe Harmah, Yajing Si, Daqing Guo, Dezhong Yao, Feng Wan, Peng Xu

IEEE Trans. Biomed. Eng., 2019

Separated channel convolutional neural network to realize the training free motor imagery BCI systems.

Xuyang Zhu, Peiyang Li, Cunbo Li, Dezhong Yao, Rui Zhang, Peng Xu

Biomed. Signal Process. Control., 2019

Multiple Correlated Component Analysis for Identifying the Bilateral Location of Target in Visual Search Tasks.

Yin Tian, Haiyong Zhang, Peiyang Li, Yang Li

IEEE Access, 2019

A Complementary Method of PCC for the Construction of Scalp Resting-State EEG Connectome: Maximum Information Coefficient.

Yin Tian, Huiling Zhang, Peiyang Li, Yang Li

IEEE Access, 2019

Sparse Autoregressive Modeling via the Least Absolute LP-Norm Penalized Solution.

Joyce Chelangat Bore, Walid Mohammed Ahmed Ayedh, Peiyang Li, Dezhong Yao, Peng Xu

IEEE Access, 2019

Emotion Recognition with the Feature extracted from brain Networks.

Cunbo Li, Peiyang Li, Lin Jiang, Xuyang Zhu, Yajing Si, Ying Zeng, Dezhong Yao, Peng Xu

Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019

2018

An Adaptive Calibration Framework for mVEP-Based Brain-Computer Interface.

Teng Ma, Fali Li, Peiyang Li, Dezhong Yao, Yangsong Zhang, Peng Xu

Comput. Math. Methods Medicine, 2018

Mining Semantics-Preserving Attention for Group Activity Recognition.

Yansong Tang, Zian Wang, Peiyang Li, Jiwen Lu, Ming Yang, Jie Zhou

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition.

Yansong Tang, Yi Tian, Jiwen Lu, Peiyang Li, Jie Zhou

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Structural and functional correlates of motor imagery BCI performance: Insights from the patterns of fronto-parietal attention network.

Tao Zhang, Tiejun Liu, Fali Li, Mengchen Li, Dongbo Liu, Rui Zhang, Hui He, Peiyang Li, Jinnan Gong, Cheng Luo, Dezhong Yao, Peng Xu

NeuroImage, 2016

Optimizational Methods for Index Construction on Big Graphs.

Peiyang Li, Xia Xie, Hai Jin, Hanhua Chen, Xijiang Ke

Proceedings of the Advances in Services Computing, 2016

2015

An Adaptive Motion-Onset VEP-Based Brain-Computer Interface.

Rui Zhang, Peng Xu, Rui Chen, Teng Ma, Xulin Lv, Fali Li, Peiyang Li, Tiejun Liu, Dezhong Yao

IEEE Trans. Auton. Ment. Dev., 2015

Enhanced Z-LDA for Small Sample Size Training in Brain-Computer Interface Systems.

Dongrui Gao, Rui Zhang, Tiejun Liu, Fali Li, Teng Ma, Xulin Lv, Peiyang Li, Dezhong Yao, Peng Xu

Comput. Math. Methods Medicine, 2015

Lp norm spectral regression for feature extraction in outlier conditions.

Weiwei Zhou, Peiyang Li, Xurui Wang, Fali Li, Huan Liu, Rui Zhang, Teng Ma, Tiejun Liu, Daqing Guo, Dezhong Yao, Peng Xu

Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

2014

Differentiating Between Psychogenic Nonepileptic Seizures and Epilepsy Based on Common Spatial Pattern of Weighted EEG Resting Networks.

Peng Xu, Xiuchun Xiong, Qing Xue, Peiyang Li, Rui Zhang, Zhenyu Wang, Pedro A. Valdés-Sosa, Yuping Wang, Dezhong Yao

IEEE Trans. Biomed. Eng., 2014

2013

Local Temporal Correlation Common Spatial Patterns for Single Trial EEG Classification during Motor Imagery.

Rui Zhang, Peng Xu, Tiejun Liu, Yangsong Zhang, Lanjin Guo, Peiyang Li, Dezhong Yao

Comput. Math. Methods Medicine, 2013