Peiliang Gong
Peiliang Gong
公 沛 良
Singapore
Time Series · BCI · Domain Adaptation · LLMs · Neuro AI
Google Scholar GitHub ResearchGate LinkedIn
About
Biography

I am currently a Postdoctoral Researcher at Nanyang Technological University (NTU), working with Prof. Yang Liu and Prof. Xiaoli Li (IEEE/AAIA Fellow). Previously, I received my PhD from the iBRAIN Lab at Nanjing University of Aeronautics and Astronautics (NUAA), supervised by Prof. Daoqiang Zhang (IAPR Fellow) in 2025. I received my M.S. in Computer Science & Technology from Beijing Jiaotong University, supervised by Prof. Lihua Ai in 2021. During my PhD, I was also a visiting PhD student at the Institute of Infocomm Research, A*STAR, supervised by Prof. Xiaoli Li (IEEE/AAIA Fellow).

Research interests:

Sensor-based Time Series Analysis Brain-Computer Interfaces (BCI) Domain Adaptation Foundation Models & LLMs Neuro AI
I warmly welcome potential collaborators, research interns, CSC scholarship students, and visiting students interested in Time Series Analysis, BCI, Foundation Models/LLMs, and related areas. Feel free to reach out!
Updates
News
Call for Papers
Honored to serve as Guest Editor for JoVE Topical Collection: Emerging Frontiers in EEG-based BCI . Submissions welcome!
2026-05
One paper was accepted by KDD. New
2026-05
One paper was accepted by ICML. New
2026-04
One paper was accepted by ACL (Main Conference). New
2026-03
One paper was accepted by IEEE TPAMI. New
2026-03
One paper was accepted by IEEE TNNLS. New
2026-02
One paper was accepted by IEEE JBHI.
Research
Selected Publications
Bridging Distribution Gaps in Time Series Foundation Model Pretraining With Prototype-Guided Normalization
Peiliang Gong, Emadeldeen Eldele, Min Wu, Zhenghua Chen, Xiaoli Li, Daoqiang Zhang
TNNLS IEEE Transactions on Neural Networks and Learning Systems, 2026
Paper
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
TPAMI IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026
Paper
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 (Co-first author)
TKDE IEEE Transactions on Knowledge and Data Engineering, 2025
Paper
TAHAG: Two-stage Domain Adaptation with Hybrid Adaptive Graph Learning for EEG Emotion Recognition
Peiliang Gong, Yueying Zhou, Shuo Huang, Pengpai Wang, Daoqiang Zhang
TAFFC IEEE Transactions on Affective Computing, 2025
Paper
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
TIP IEEE Transactions on Image Processing, 2026
Paper
EEG-CLIP: A Transformer-based Framework for EEG-guided Image Generation
Xuhao Cao, Peiliang Gong#, Liying Zhang, Daoqiang Zhang (Corresponding author)
NN Neural Networks, 2025
Paper
Exploring Cognitive Workload Recognition Using CogRepLKNet with EEG-fMRI
Yang Shao, Yueying Zhou, Xuyun Wen, Peiliang Gong#, Qun Dai, Daoqiang Zhang (Corresponding author)
NN Neural Networks, 2026
Paper
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
TITS IEEE Transactions on Intelligent Transportation Systems, 2024
Paper
A Spiking Neural Network with Adaptive Graph Convolution and LSTM for EEG-based Brain-Computer Interfaces
Peiliang Gong, Pengpai Wang, Yueying Zhou, Daoqiang Zhang
TNSRE IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Paper
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
NN Neural Networks, 2025
Paper
Attention Detection Using EEG Signals and Machine Learning: A Review
Qianru Sun, Yueying Zhou, Peiliang Gong, Daoqiang Zhang
MIR Machine Intelligence Research, 2025
Paper
Speech Imagery Decoding Using EEG Signals and Deep Learning: A Survey
Liying Zhang, Yueying Zhou, Peiliang Gong, Daoqiang Zhang
TCDS IEEE Transactions on Cognitive and Developmental Systems, 2024
Paper
A Dual-Adversarial Model for Cross-time and Cross-subject Cognitive Workload Decoding
Yang Shao, Yueying Zhou, Peiliang Gong, Qianru Sun, Daoqiang Zhang
TNSRE IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024
Paper
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
TIM IEEE Transactions on Instrumentation and Measurement, 2024
Paper
A Temporal-Spectral Fused and Attention-based Deep Model for Automatic Sleep Staging
Guidan Fu, Yueying Zhou, Peiliang Gong, Pengpai Wang, Wei Shao, Daoqiang Zhang
TNSRE IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Paper
Decoding the Continuous Motion Imagery Trajectories of Upper Limb Skeleton Points for EEG-based BCI
Pengpai Wang, Peiliang Gong, Yueying Zhou, Xuyun Wen, Daoqiang Zhang
TIM IEEE Transactions on Instrumentation and Measurement, 2022
Paper
Two-order Approximate Spectral Convolutional Model for Semi-supervised Classification
Peiliang Gong, Lihua Ai
AAS Acta Automatica Sinica (自动化学报), 2021
Paper
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
KDD 2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining Oral @ SIGKDD Singapore 2026
arXiv Video
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
KDD 2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Paper Video
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
ACM MM 2023 ACM International Conference on Multimedia
Paper
A Dual-Branch Riemannian Learning Network for EEG Speech Imagery Decoding
Liying Zhang, Peiliang Gong, Qianru Sun, Yueying Zhou, Qi Zhu, Daoqiang Zhang
ICONIP 2025 International Conference on Neural Information Processing
Paper
CLIP-guided Source-free Object Detection in Aerial Images
Nanqing Liu, Xun Xu, Yongyi Su, Chengxin Liu, Peiliang Gong, Heng-Chao Li
IGARSS 2024 International Geoscience and Remote Sensing Symposium
Paper
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
ICONIP 2022 International Conference on Neural Information Processing
Paper
Full list on Google Scholar
Academic Service
Professional Services
Editorial
Neuroelectronics (NEJ) — Youth Editorial Board Member (2025–present)  ·  JoVE — Guest Editor
Conf. Reviewer
NeurIPS ICML AAAI IJCAI KDD MM WWW CIKM
Journal Reviewer
IEEE Transactions
TPAMI TKDE TNNLS TCYB TAFFC TBME JBHI TNSRE TCDS TMC TETCI TAI THMS TCSS SMCA SPL TCE
ACM
TOMM TAP
Others
Neural Networks Eng. Appl. of AI Brain Connectivity IJHCI J. Sleep Research IEEE Access
Get in Touch
Contact
Email (Primary)
plgong@outlook.com
Email (Personal)
plgong1995@163.com
Address
50 Nanyang Avenue, Singapore 639798
WeChat
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