Peiliang Gong

According to our database, Peiliang Gong authored at least 29 papers between 2011 and 2026.

Collaborative distances:

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

2026

DARE-EEG: A Foundation Model for Mining Dual-Aligned Representation of EEG.

Yang Shao, Peiliang Gong, Qun Dai, Daoqiang Zhang

CoRR, May, 2026

Neural Visual Decoding via Cognitive guided Adaptive Blurring and Information Constrained Alignment.

Fan Yin, Chuhang Zheng, Peiliang Gong, Donghai Guan, Qi Zhu

CoRR, May, 2026

Multi-Level Bidirectional Biomimetic Learning for EEG-Based Visual Decoding.

Jingtao Liu, Peiliang Gong, Chuhang Zheng, Yiheng Liu, Qi Zhu

CoRR, May, 2026

Foundation Model Guided Dual-Branch Co-Adaptation for Source-Free EEG Decoding.

Peiliang Gong, Han Zhang, Zhen Jiang, Chenyu Liu, Ziyu Jia, Xinliang Zhou, Daoqiang Zhang, Xiaoli Li

CoRR, May, 2026

Evidentially Calibrated Source-Free Time-Series Domain Adaptation With Temporal Imputation.

Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen

IEEE Trans. Knowl. Data Eng., January, 2026

Learn Like Humans: Use Meta-cognitive Reflection for Efficient Self-Improvement.

Xinmeng Hou, Peiliang Gong, Bohao Qu, Wuqi Wang, Qing Guo, Yang Liu

CoRR, January, 2026

Spatio-Temporal Hypergraph Attention Networks for Brain Disease Analysis.

Chaojun Li, Peiliang Gong, Shengrong Li, Chunwei Tian, Yinbo Yu, Ran Wang, Daoqiang Zhang, Qi Zhu

IEEE Trans. Image Process., 2026

Exploring cognitive workload recognition using CogRepLKNet with EEG-fMRI.

Yang Shao, Yueying Zhou, Xuyun Wen, Peiliang Gong, Qun Dai, Daoqiang Zhang

Neural Networks, 2026

EEG-CLIP: A transformer-based framework for EEG-guided image generation.

Xuhao Cao, Peiliang Gong, Liying Zhang, Daoqiang Zhang

Neural Networks, 2026

A Survey on Graph Neural Networks.

Xinyang Zhang, Shengrong Li, Haoran Li, Peiliang Gong, Jiahua Shi, Jun Shen, Chunwei Tian, Daoqiang Zhang, Qi Zhu

IEEE Access, 2026

ST-Mamba: Dual-Branch State-Space Modeling for EEG Motor Imagery Decoding.

Jiakai Deng, Peiliang Gong, Qi Zhu, Yang Shao, Xuhao Cao, Kun Wang, Liying Zhang, Daoqiang Zhang

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization.

Peiliang Gong, Emadeldeen Eldele, Min Wu, Zhenghua Chen, Xiao-Li Li, Daoqiang Zhang

CoRR, April, 2025

Speech Imagery Decoding Using EEG Signals and Deep Learning: A Survey.

Liying Zhang, Yueying Zhou, Peiliang Gong, Daoqiang Zhang

IEEE Trans. Cogn. Dev. Syst., February, 2025

TAHAG: Two-Stage Domain Adaptation With Hybrid Adaptive Graph Learning for EEG Emotion Recognition.

Peiliang Gong, Yueying Zhou, Shuo Huang, Pengpai Wang, Daoqiang Zhang

IEEE Trans. Affect. Comput., 2025

ACCNet: Adaptive cross-frequency coupling graph attention for EEG emotion recognition.

Dongyuan Tian, Yucheng Wang, Peiliang Gong, Zhewen Xu, Zhenghua Chen, Xiaohui Wei, Min Wu

Neural Networks, 2025

Attention Detection Using EEG Signals and Machine Learning: A Review.

Qianru Sun, Yueying Zhou, Peiliang Gong, Daoqiang Zhang

Int. J. Autom. Comput., 2025

Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation.

Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation.

Peiliang Gong, Yucheng Wang, Min Wu, Zhenghua Chen, Xiaoli Li, Daoqiang Zhang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

TFAC-Net: A Temporal-Frequential Attentional Convolutional Network for Driver Drowsiness Recognition With Single-Channel EEG.

Peiliang Gong, Pengpai Wang, Yueying Zhou, Xuyun Wen, Daoqiang Zhang

IEEE Trans. Intell. Transp. Syst., July, 2024

Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation.

Yucheng Wang, Peiliang Gong, Min Wu, Felix Ott, Xiaoli Li, Lihua Xie, Zhenghua Chen

CoRR, 2024

MSTI-Former: A Multi-Scale Spatial-Temporal Information Enhanced Transformer for Attentive State Classification.

Qianru Sun, Lianyu Wang, Liying Zhang, Peiliang Gong, Yueying Zhou, Daoqiang Zhang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Clip-Guided Source-Free Object Detection in Aerial Images.

Nanqing Liu, Xun Xu, Yongyi Su, Chengxin Liu, Peiliang Gong, Heng-Chao Li

Proceedings of the IGARSS 2024, 2024

A Dual-Branch Riemannian Learning Network for EEG Speech Imagery Decoding.

Liying Zhang, Peiliang Gong, Qianru Sun, Yueying Zhou, Qi Zhu, Daoqiang Zhang

Proceedings of the Neural Information Processing - 31st International Conference, 2024

2023

Cross-Subject Cognitive Workload Recognition Based on EEG and Deep Domain Adaptation.

Yueying Zhou, Pengpai Wang, Peiliang Gong, Fulin Wei, Xuyun Wen, Xia Wu, Daoqiang Zhang

IEEE Trans. Instrum. Meas., 2023

Decoding the Continuous Motion Imagery Trajectories of Upper Limb Skeleton Points for EEG-Based Brain-Computer Interface.

Pengpai Wang, Peiliang Gong, Yueying Zhou, Xuyun Wen, Daoqiang Zhang

IEEE Trans. Instrum. Meas., 2023

ASTDF-Net: Attention-Based Spatial-Temporal Dual-Stream Fusion Network for EEG-Based Emotion Recognition.

Peiliang Gong, Ziyu Jia, Pengpai Wang, Yueying Zhou, Daoqiang Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Deep Domain Adaptation for EEG-Based Cross-Subject Cognitive Workload Recognition.

Yueying Zhou, Pengpai Wang, Peiliang Gong, Yanling Liu, Xuyun Wen, Xia Wu, Daoqiang Zhang

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2019

Neighborhood Adaptive Graph Convolutional Network for Node Classification.

Peiliang Gong, Lihua Ai

IEEE Access, 2019

2011

Underwater Feature Based Visual Odometry - Experiment and Analysis.

Peiliang Gong, Donglai Zhang

Proceedings of the First International Conference on Robot, Vision and Signal Processing, 2011