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Peiyang Li
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2020 – today
- 2024
- [j26]Yajing Si, Lin Jiang, Peiyang Li, Baodan Chen, Feng Wan, Jing Yu, Dezhong Yao, Fali Li, Peng Xu:
Relationship Between Decision Making and Resting-State EEG in Adolescents With Different Emotional Stabilities. IEEE Trans. Cogn. Dev. Syst. 16(1): 243-250 (2024) - [j25]Cunbo Li, Peiyang Li, Yangsong Zhang, Ning Li, Yajing Si, Fali Li, Zehong Cao, Huafu Chen, Badong Chen, Dezhong Yao, Peng Xu:
Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10258-10272 (2024) - [j24]Peiyang Li, Xiaohui Gao, Cunbo Li, Chanlin Yi, Weijie Huang, Yajing Si, Fali Li, Zehong Cao, Yin Tian, Peng Xu:
Granger Causal Inference Based on Dual Laplacian Distribution and Its Application to MI-BCI Classification. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16181-16195 (2024) - [c16]Feng Zhou, Jianqin Yin, Peiyang Li:
Lifting by Image - Leveraging Image Cues for Accurate 3D Human Pose Estimation. AAAI 2024: 7632-7640 - [c15]Yuzuo Liu, Peiyang Li, Ziyi Wang, Xiaohui Gao, Chengcheng Tang, Yin Tian:
Robust estimation of sparse EEG source based on Laplacian distribution. CIVEMSA 2024: 1-5 - [c14]Pengcheng Zhu, Cunbo Li, Peiyang Li, Fali Li, Dezhong Yao, Peng Xu:
A Novel Robust Sparse Granger Causality Inference Method and Its Application in MI EEG. CIVEMSA 2024: 1-6 - [c13]Ye Wang, Yunpeng Liu, Ningtao Wang, Peiyang Li, Jiahao Hu, Xing Fu, Weiqiang Wang, Kun Sun, Qi Li, Ke Xu:
Enhancing Fraud Transaction Detection via Unlabeled Suspicious Records. IWQoS 2024: 1-10 - [i4]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:
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems. CoRR abs/2401.05778 (2024) - [i3]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:
P/D-Serve: Serving Disaggregated Large Language Model at Scale. CoRR abs/2408.08147 (2024) - 2023
- [j23]Xiaohui Gao, Weijie Huang, Yize Liu, Yinuo Zhang, Jiamin Zhang, Cunbo Li, Joyce Chelangat Bore, Zhenyu Wang, Yajing Si, Yin Tian, Peiyang Li:
A novel robust Student's t-based Granger causality for EEG based brain network analysis. Biomed. Signal Process. Control. 80(Part): 104321 (2023) - [j22]Yajing Si, Peiyang Li, Xinge Wang, Guiying Yao, Congcong Liu, Yize Liu, Jiajia Zhang, Hongxing Zhang, Yanyan Luo:
Cueing effect of attention among nurses with different anxiety levels: an EEG study. Medical Biol. Eng. Comput. 61(9): 2269-2279 (2023) - [j21]Ke Liu, Qin Lai, Peiyang Li, Zhuliang Yu, Bin Xiao, Cuntai Guan, Wei Wu:
Robust Bayesian Estimation of EEG-Based Brain Causality Networks. IEEE Trans. Biomed. Eng. 70(6): 1879-1890 (2023) - [c12]Peiyang Li, Ye Wang, Qi Li, Zhuotao Liu, Ke Xu, Ju Ren, Zhiying Liu, Ruilin Lin:
Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains. CCS 2023: 1020-1034 - [c11]Peiyang Li, Zixin Liu, Yuening Su, Hao Wang, Bo Jiang:
CAPS: An Efficient Whole-Program Critical Paths Search Framework for Large-Scale Software. SEKE 2023: 169-174 - [c10]Mengjun Du, Peiyang Li, Lian Song, W. K. Chan, Bo Jiang:
OAT: An Optimized Android Testing Framework Based on Reinforcement Learning. TASE 2023: 38-58 - [i2]Peiyang Li, Ye Wang, Qi Li, Zhuotao Liu, Ke Xu, Ju Ren, Zhiying Liu, Ruilin Lin:
Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains. CoRR abs/2309.03660 (2023) - [i1]Feng Zhou, Jianqin Yin, Peiyang Li:
Lifting by Image - Leveraging Image Cues for Accurate 3D Human Pose Estimation. CoRR abs/2312.15636 (2023) - 2022
- [j20]Chanlin Yi, Ruwei Yao, Liuyi Song, Lin Jiang, Yajing Si, Peiyang Li, Fali Li, Dezhong Yao, Yu Zhang, Peng Xu:
A Novel Method for Constructing EEG Large-Scale Cortical Dynamical Functional Network Connectivity (dFNC): WTCS. IEEE Trans. Cybern. 52(12): 12869-12881 (2022) - [c9]Chengxi Li, Rui Zhang, Weiwei Shao, Peiyang Li, Yaoyao Cui, Chi Wang:
A Novel Discharge Electrode Structure to Increase the Times of Shockwaves Generation. EEET 2022: 239-243 - [c8]Peiyang Li, Ye Wang, Zhuotao Liu, Ke Xu, Qian Wang, Chao Shen, Qi Li:
Verifying the Quality of Outsourced Training on Clouds. ESORICS (2) 2022: 126-144 - 2021
- [j19]Qin Tao, Yajing Si, Fali Li, Peiyang Li, Yuqin Li, Shu Zhang, Feng Wan, Dezhong Yao, Peng Xu:
Decision-Feedback Stages Revealed by Hidden Markov Modeling of EEG. Int. J. Neural Syst. 31(7): 2150031:1-2150031:19 (2021) - [j18]Joyce Chelangat Bore, Peiyang Li, Lin Jiang, Walid Mohammed Ahmed Ayedh, Chunli Chen, Dennis Joe Harmah, Dezhong Yao, Zehong Cao, Peng Xu:
A Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging. IEEE Trans. Medical Imaging 40(12): 3787-3800 (2021) - [c7]Peiyang Li, Wei Chen, Xinyu Han, Mingguo Zhao:
Learning a Push-Recovery Controller for Quadrupedal Robots. ROBIO 2021: 944-949 - 2020
- [j17]Peiyang Li, Xiaoye Huang, Xuyang Zhu, Cunbo Li, Huan Liu, Weiwei Zhou, Joyce Chelangat Bore, Tao Zhang, Yangsong Zhang, Dezhong Yao, Peng Xu:
Robust brain causality network construction based on Bayesian multivariate autoregression. Biomed. Signal Process. Control. 58: 101864 (2020) - [j16]Tao Zhang, Cunbo Li, Peiyang Li, Yueheng Peng, Xiaodong Kang, Chenyang Jiang, Fali Li, Xuyang Zhu, Dezhong Yao, Bharat B. Biswal, Peng Xu:
Separated Channel Attention Convolutional Neural Network (SC-CNN-Attention) to Identify ADHD in Multi-Site Rs-fMRI Dataset. Entropy 22(8): 893 (2020) - [j15]Yajing Si, Fali Li, Keyi Duan, Qin Tao, Cunbo Li, Zehong Cao, Yangsong Zhang, Bharat B. Biswal, Peiyang Li, Dezhong Yao, Peng Xu:
Predicting individual decision-making responses based on single-trial EEG. NeuroImage 206 (2020) - [j14]Joyce Chelangat Bore, Peiyang Li, Dennis Joe Harmah, Fali Li, Dezhong Yao, Peng Xu:
Directed EEG neural network analysis by LAPPS (p≤1) Penalized sparse Granger approach. Neural Networks 124: 213-222 (2020) - [j13]Dan Yu, Peiyang Li, Yongle Chen, Yao Ma, Junjie Chen:
A Time-efficient Multi-Protocol Probe Scheme for Fine-grain IoT Device Identification. Sensors 20(7): 1863 (2020) - [c6]Hongbo Wang, Ke Liu, Feifei Qi, Xin Deng, Peiyang Li:
EEG-Based Emotion Recognition Using Convolutional Neural Network with Functional Connections. ICCSIP 2020: 33-40
2010 – 2019
- 2019
- [j12]Yin Tian, Huiling Zhang, Peiyang Li, Yang Li:
A Complementary Method of PCC for the Construction of Scalp Resting-State EEG Connectome: Maximum Information Coefficient. IEEE Access 7: 27146-27154 (2019) - [j11]Joyce Chelangat Bore, Walid Mohammed Ahmed Ayedh, Peiyang Li, Dezhong Yao, Peng Xu:
Sparse Autoregressive Modeling via the Least Absolute LP-Norm Penalized Solution. IEEE Access 7: 40959-40968 (2019) - [j10]Yin Tian, Haiyong Zhang, Peiyang Li, Yang Li:
Multiple Correlated Component Analysis for Identifying the Bilateral Location of Target in Visual Search Tasks. IEEE Access 7: 98495-98506 (2019) - [j9]Xuyang Zhu, Peiyang Li, Cunbo Li, Dezhong Yao, Rui Zhang, Peng Xu:
Separated channel convolutional neural network to realize the training free motor imagery BCI systems. Biomed. Signal Process. Control. 49: 396-403 (2019) - [j8]Joyce Chelangat Bore, Chanlin Yi, Peiyang Li, Fali Li, Dennis Joe Harmah, Yajing Si, Daqing Guo, Dezhong Yao, Feng Wan, Peng Xu:
Sparse EEG Source Localization Using LAPPS: Least Absolute l-P (0<p<1) Penalized Solution. IEEE Trans. Biomed. Eng. 66(7): 1927-1939 (2019) - [j7]Peiyang Li, Huan Liu, Yajing Si, Cunbo Li, Fali Li, Xuyang Zhu, Xiaoye Huang, Ying Zeng, Dezhong Yao, Yangsong Zhang, Peng Xu:
EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations. IEEE Trans. Biomed. Eng. 66(10): 2869-2881 (2019) - [c5]Cunbo Li, Peiyang Li, Lin Jiang, Xuyang Zhu, Yajing Si, Ying Zeng, Dezhong Yao, Peng Xu:
Emotion Recognition with the Feature extracted from brain Networks. CIVEMSA 2019: 1-4 - 2018
- [j6]Teng Ma, Fali Li, Peiyang Li, Dezhong Yao, Yangsong Zhang, Peng Xu:
An Adaptive Calibration Framework for mVEP-Based Brain-Computer Interface. Comput. Math. Methods Medicine 2018: 9476432:1-9476432:14 (2018) - [c4]Yansong Tang, Yi Tian, Jiwen Lu, Peiyang Li, Jie Zhou:
Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition. CVPR 2018: 5323-5332 - [c3]Yansong Tang, Zian Wang, Peiyang Li, Jiwen Lu, Ming Yang, Jie Zhou:
Mining Semantics-Preserving Attention for Group Activity Recognition. ACM Multimedia 2018: 1283-1291 - 2016
- [j5]Tao Zhang, Tiejun Liu, Fali Li, Mengchen Li, Dongbo Liu, Rui Zhang, Hui He, Peiyang Li, Jinnan Gong, Cheng Luo, Dezhong Yao, Peng Xu:
Structural and functional correlates of motor imagery BCI performance: Insights from the patterns of fronto-parietal attention network. NeuroImage 134: 475-485 (2016) - [c2]Peiyang Li, Xia Xie, Hai Jin, Hanhua Chen, Xijiang Ke:
Optimizational Methods for Index Construction on Big Graphs. APSCC 2016: 292-305 - 2015
- [j4]Dongrui Gao, Rui Zhang, Tiejun Liu, Fali Li, Teng Ma, Xulin Lv, Peiyang Li, Dezhong Yao, Peng Xu:
Enhanced Z-LDA for Small Sample Size Training in Brain-Computer Interface Systems. Comput. Math. Methods Medicine 2015: 680769:1-680769:7 (2015) - [j3]Rui Zhang, Peng Xu, Rui Chen, Teng Ma, Xulin Lv, Fali Li, Peiyang Li, Tiejun Liu, Dezhong Yao:
An Adaptive Motion-Onset VEP-Based Brain-Computer Interface. IEEE Trans. Auton. Ment. Dev. 7(4): 349-356 (2015) - [c1]Weiwei Zhou, Peiyang Li, Xurui Wang, Fali Li, Huan Liu, Rui Zhang, Teng Ma, Tiejun Liu, Daqing Guo, Dezhong Yao, Peng Xu:
Lp norm spectral regression for feature extraction in outlier conditions. DSP 2015: 535-538 - 2014
- [j2]Peng Xu, Xiuchun Xiong, Qing Xue, Peiyang Li, Rui Zhang, Zhenyu Wang, Pedro A. Valdés-Sosa, Yuping Wang, Dezhong Yao:
Differentiating Between Psychogenic Nonepileptic Seizures and Epilepsy Based on Common Spatial Pattern of Weighted EEG Resting Networks. IEEE Trans. Biomed. Eng. 61(6): 1747-1755 (2014) - 2013
- [j1]Rui Zhang, Peng Xu, Tiejun Liu, Yangsong Zhang, Lanjin Guo, Peiyang Li, Dezhong Yao:
Local Temporal Correlation Common Spatial Patterns for Single Trial EEG Classification during Motor Imagery. Comput. Math. Methods Medicine 2013: 591216:1-591216:7 (2013)
Coauthor Index
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last updated on 2024-11-11 21:31 CET by the dblp team
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