Local Temporal Correlation Common Spatial Patterns for Single Trial EEG Classification during Motor Imagery. - Rui Zhang 018; Peng Xu 001; Tiejun Liu; Yangsong Zhang; Lanjin Guo; Peiyang Li; Dezhong Yao 001 (Comput. Math. Methods Medicine, 2013)

Differentiating Between Psychogenic Nonepileptic Seizures and Epilepsy Based on Common Spatial Pattern of Weighted EEG Resting Networks. - Peng Xu 001; Xiuchun Xiong; Qing Xue; Peiyang Li; Rui Zhang 018; Zhenyu Wang 003; Pedro A. Valdés-Sosa; Yuping Wang; Dezhong Yao 001 (IEEE Trans. Biomed. Eng., 2014)

Lp norm spectral regression for feature extraction in outlier conditions. - Weiwei Zhou; Peiyang Li; Xurui Wang; Fali Li; Huan Liu; Rui Zhang 018; Teng Ma; Tiejun Liu; Daqing Guo; Dezhong Yao 001; Peng Xu 001 (DSP, 2015)

Enhanced Z-LDA for Small Sample Size Training in Brain-Computer Interface Systems. - Dongrui Gao; Rui Zhang 018; Tiejun Liu; Fali Li; Teng Ma; Xulin Lv; Peiyang Li; Dezhong Yao 001; Peng Xu 001 (Comput. Math. Methods Medicine, 2015)

An Adaptive Motion-Onset VEP-Based Brain-Computer Interface. - Rui Zhang 018; Peng Xu 001; Rui Chen; Teng Ma; Xulin Lv; Fali Li; Peiyang Li; Tiejun Liu; Dezhong Yao 001 (IEEE Trans. Auton. Ment. Dev., 2015)

Optimizational Methods for Index Construction on Big Graphs. - Peiyang Li; Xia Xie; Hai Jin 001; Hanhua Chen; Xijiang Ke (APSCC, 2016)

Structural and functional correlates of motor imagery BCI performance: Insights from the patterns of fronto-parietal attention network. - Tao Zhang 017; Tiejun Liu; Fali Li; Mengchen Li; Dongbo Liu; Rui Zhang 018; Hui He; Peiyang Li; Jinnan Gong; Cheng Luo; Dezhong Yao 001; Peng Xu 001 (NeuroImage, 2016)

Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition. - Yansong Tang; Yi Tian; Jiwen Lu; Peiyang Li; Jie Zhou 001 (CVPR, 2018)

Mining Semantics-Preserving Attention for Group Activity Recognition. - Yansong Tang; Zian Wang; Peiyang Li; Jiwen Lu; Ming Yang 007; Jie Zhou 001 (ACM Multimedia, 2018)

An Adaptive Calibration Framework for mVEP-Based Brain-Computer Interface. - Teng Ma; Fali Li; Peiyang Li; Dezhong Yao 001; Yangsong Zhang; Peng Xu 001 (Comput. Math. Methods Medicine, 2018)

Emotion Recognition with the Feature extracted from brain Networks. - Cunbo Li; Peiyang Li; Lin Jiang 004; Xuyang Zhu; Yajing Si; Ying Zeng; Dezhong Yao 001; Peng Xu 001 (CIVEMSA, 2019)

Sparse Autoregressive Modeling via the Least Absolute LP-Norm Penalized Solution. - Joyce Chelangat Bore; Walid Mohammed Ahmed Ayedh; Peiyang Li; Dezhong Yao 001; Peng Xu 001 (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)

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)

Separated channel convolutional neural network to realize the training free motor imagery BCI systems. - Xuyang Zhu; Peiyang Li; Cunbo Li; Dezhong Yao 001; Rui Zhang 018; Peng Xu 001 (Biomed. Signal Process. Control., 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 001; Feng Wan; Peng Xu 001 (IEEE Trans. Biomed. Eng., 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 001; Yangsong Zhang; Peng Xu 001 (IEEE Trans. Biomed. Eng., 2019)

EEG-Based Emotion Recognition Using Convolutional Neural Network with Functional Connections. - Hongbo Wang; Ke Liu 008; Feifei Qi; Xin Deng 003; Peiyang Li (ICCSIP, 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 017; Yangsong Zhang; Dezhong Yao 001; Peng Xu 001 (Biomed. Signal Process. Control., 2020)

Separated Channel Attention Convolutional Neural Network (SC-CNN-Attention) to Identify ADHD in Multi-Site Rs-fMRI Dataset. - Tao Zhang 017; Cunbo Li; Peiyang Li; Yueheng Peng; Xiaodong Kang; Chenyang Jiang; Fali Li; Xuyang Zhu; Dezhong Yao 001; Bharat B. Biswal; Peng Xu 001 (Entropy, 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 001; Peng Xu 001 (NeuroImage, 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 001; Peng Xu 001 (Neural Networks, 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)

Learning a Push-Recovery Controller for Quadrupedal Robots. - Peiyang Li; Wei Chen; Xinyu Han; Mingguo Zhao (ROBIO, 2021)

Decision-Feedback Stages Revealed by Hidden Markov Modeling of EEG. - Qin Tao; Yajing Si; Fali Li; Peiyang Li; Yuqin Li; Shu Zhang 001; Feng Wan; Dezhong Yao 001; Peng Xu 001 (Int. J. Neural Syst., 2021)

A Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging. - Joyce Chelangat Bore; Peiyang Li; Lin Jiang 004; Walid Mohammed Ahmed Ayedh; Chunli Chen; Dennis Joe Harmah; Dezhong Yao 001; Zehong Cao; Peng Xu 001 (IEEE Trans. Medical Imaging, 2021)

A Novel Discharge Electrode Structure to Increase the Times of Shockwaves Generation. - Chengxi Li 012; Rui Zhang; Weiwei Shao; Peiyang Li; Yaoyao Cui; Chi Wang (EEET, 2022)

Verifying the Quality of Outsourced Training on Clouds. - Peiyang Li; Ye Wang 002; Zhuotao Liu; Ke Xu 002; Qian Wang 002; Chao Shen 001; Qi Li 002 (ESORICS (2), 2022)

A Novel Method for Constructing EEG Large-Scale Cortical Dynamical Functional Network Connectivity (dFNC): WTCS. - Chanlin Yi; Ruwei Yao; Liuyi Song; Lin Jiang 004; Yajing Si; Peiyang Li; Fali Li; Dezhong Yao 001; Yu Zhang 009; Peng Xu 001 (IEEE Trans. Cybern., 2022)

Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains. - Peiyang Li; Ye Wang 002; Qi Li 002; Zhuotao Liu; Ke Xu 002; Ju Ren 001; Zhiying Liu; Ruilin Lin (CCS, 2023)

CAPS: An Efficient Whole-Program Critical Paths Search Framework for Large-Scale Software. - Peiyang Li; Zixin Liu; Yuening Su; Hao Wang; Bo Jiang 001 (SEKE, 2023)

OAT: An Optimized Android Testing Framework Based on Reinforcement Learning. - Mengjun Du; Peiyang Li; Lian Song; W. K. Chan 001; Bo Jiang 001 (TASE, 2023)

A novel robust Student's t-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)

Robust Bayesian Estimation of EEG-Based Brain Causality Networks. - Ke Liu 008; Qin Lai; Peiyang Li; Zhuliang Yu; Bin Xiao 002; Cuntai Guan; Wei Wu 022 (IEEE Trans. Biomed. Eng., 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., 2023)

Lifting by Image - Leveraging Image Cues for Accurate 3D Human Pose Estimation. - Feng Zhou; Jianqin Yin; Peiyang Li (AAAI, 2024)

Robust estimation of sparse EEG source based on Laplacian distribution. - Yuzuo Liu; Peiyang Li; Ziyi Wang; Xiaohui Gao; Chengcheng Tang; Yin Tian (CIVEMSA, 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 001; Peng Xu 001 (CIVEMSA, 2024)

Enhancing Fraud Transaction Detection via Unlabeled Suspicious Records. - Ye Wang 002; Yunpeng Liu; Ningtao Wang; Peiyang Li; Jiahao Hu; Xing Fu; Weiqiang Wang 002; Kun Sun 001; Qi Li 002; Ke Xu 002 (IWQoS, 2024)

Spatiotemporal Feature Extraction of Dynamic Brain Networks and its Application in EEG-Based Emotion Recognition. - Jiangyu Han; Qiangjian Zhong; Ruiting Lin; Pengcheng Zhu; Nan Qiu; Peiyang Li (WI/IAT, 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; et al. (CoRR, 2024)

P/D-Serve: Serving Disaggregated Large Language Model at Scale. - Yibo Jin 005; Tao Wang; Huimin Lin; Mingyang Song; Peiyang Li; Yipeng Ma; Yicheng Shan; Zhengfan Yuan; Cailong Li; Yajing Sun; Tiandeng Wu; Xing Chu; et al. (CoRR, 2024)

Governing equation discovery of a complex system from snapshots. - Qunxi Zhu; Bolin Zhao; Jingdong Zhang; Peiyang Li; Wei Lin (CoRR, 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)

InstruGen: Automatic Instruction Generation for Vision-and-Language Navigation Via Large Multimodal Models. - Yu Yan; Rongtao Xu; Jiazhao Zhang; Peiyang Li; Xiaodan Liang; Jianqin Yin (CoRR, 2024)

Relationship Between Decision Making and Resting-State EEG in Adolescents With Different Emotional Stabilities. - Yajing Si; Lin Jiang 004; Peiyang Li; Baodan Chen; Feng Wan; Jing Yu; Dezhong Yao 001; Fali Li; Peng Xu 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks. - Cunbo Li; Peiyang Li; Yangsong Zhang; Ning Li 030; Yajing Si; Fali Li; Zehong Cao; Huafu Chen; Badong Chen; Dezhong Yao 001; Peng Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 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 001 (IEEE Trans. Neural Networks Learn. Syst., 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 001; Bao-Liang Lu; Peng Xu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Robust Supervised Graph Embedding Method For EEG-Based Brain Network Emotion Recognition. - Pengcheng Zhu; Cunbo Li; Peiyang Li; Fali Li; Dezhong Yao 001; Peng Xu 001 (ICASSP, 2025)

Real-time fine finger motion decoding for transradial amputees with surface electromyography. - Zihan Weng; Yang Xiao; Peiyang Li; Chanlin Yi; Pouya Bashivan; Hailin Ma; Guang Yao; Yuan Lin; Fali Li; Dezhong Yao 001; Jingming Hou; Yangsong Zhang; et al. (Neural Networks, 2025)

An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network. - Cunbo Li; Tian Tang; Yue Pan; Lei Yang; Shuhan Zhang; Zhaojin Chen; Peiyang Li; Dongrui Gao; Huafu Chen; Fali Li; Dezhong Yao 001; Zehong Cao; et al. (IEEE Trans. Neural Networks Learn. Syst., 2025)

Learning Unified Force and Position Control for Legged Loco-Manipulation. - Peiyuan Zhi; Peiyang Li; Jianqin Yin; Baoxiong Jia; Siyuan Huang 001 (CoRR, 2025)

Serving Large Language Models on Huawei CloudMatrix384. - Pengfei Zuo; Huimin Lin; Junbo Deng; Nan Zou; Xingkun Yang; Yingyu Diao; Weifeng Gao; Ke Xu; Zhangyu Chen; Shirui Lu; Zhao Qiu; Peiyang Li; et al. (CoRR, 2025)