成果/Result
- Inter-participant transfer learning with attention based domain adversarial training for P300 detection被引量：8收藏
- 作者：Li, Shurui Daly, Ian Guan, Cuntai Cichocki, Andrzej Jin, Jing
- 机构：East China Univ Sci & Technol;Univ Essex;Nanyang Technol Univ;Polish Acad Sci;RIKEN Adv Intelligence Project
- 来源：NEURAL NETWORKS 2024
- 关键词：Brain-computer interface P300 detection Cross participant task Domain generalization
- Decoding continuous motion trajectories of upper limb from EEG signals based on feature selection and nonlinear methods被引量：5收藏
- 作者：Li, Shurui Tian, Miao Xu, Ren Cichocki, Andrzej Jin, Jing
- 机构：East China Univ Sci & Technol;G Tec Med Engn GmbH;Polish Acad Sci;RIKEN Adv Intelligence Project;Tokyo Univ Agr & Technol
- 来源：JOURNAL OF NEURAL ENGINEERING 2024
- 关键词：brain-computer interface limb decoding feature selection polynomial regression
- Self-distillation with beta label smoothing-based cross-subject transfer learning for P300 classification被引量：3收藏
- 作者：Li, Shurui Zhao, Liming Liu, Chang Jin, Jing Guan, Cuntai
- 机构：East China Univ Sci & Technol;Shanghai Jiao Tong Univ;East China Univ Sci & Technol;Nanyang Technol Univ
- 来源：PATTERN RECOGNITION 2025
- 关键词：Brain-computer interface P300 classification Cross-subject Self-distillation
- A Growing Bubble Speller Paradigm for Brain-Computer Interface Based on Event-Related Potentials被引量：3收藏
- 作者：Jin, Jing Zhao, Xueqing Daly, Ian Li, Shurui Wang, Xingyu Cichocki, Andrzej Jung, Tzyy-Ping
- 机构：East China Univ Sci & Technol;East China Univ Sci & Technol;Univ Essex;Polish Acad Sci;Nicolaus Copernicus Univ UMK
- 来源：IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 2025
- 关键词：Image color analysis Electroencephalography Visualization Feature extraction Decoding Faces Electric potential Brain-computer interfaces Support vector machines Convolutional neural networks Brain-computer interface (BCI) event-related potential (ERP) speller paradigm growing bubble multiple windows
- An Interpretable Regression Method for Upper Limb Motion Trajectories Detection With EEG Signals被引量：2收藏
- 作者：Tian, Miao Li, Shurui Xu, Ren Cichocki, Andrzej Jin, Jing
- 机构：East China Univ Sci & Technol;G Tec Med Engn GmbH;Polish Acad Sci;RIKEN Adv Intelligence Project;Tokyo Univ Agr & Technol
- 来源：IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 2025
- 关键词：Electroencephalography Trajectory Hands Motors Kinematics Brain modeling Feature extraction Elbow Training Three-dimensional displays Brain-computer interface limb decoding interpretable framework motion trajectory reconstruction
- Dual branch neural network with dynamic learning mechanism for P300-based brain-computer interfaces被引量：2收藏
- 作者：Li, Shurui Xu, Ren Wang, Xingyu Cichocki, Andrzej Jin, Jing
- 机构：East China Univ Sci & Technol;G Tec Med Engn GmbH;East China Univ Sci & Technol;Polish Acad Sci;RIKEN
- 来源：NEURAL NETWORKS 2025
- 关键词：Brain-computer interface P300 signal Class imbalance Dual branch learning Dynamic learning mechanism
- A visually-induced optogenetically-engineered system enables autonomous glucose homeostasis in mice被引量：2收藏
- 作者：Li, Shurui Zhou, Yang Kong, Deqiang Miao, Yangyang Guan, Ningzi Gao, Ganglong Jin, Jing Ye, Haifeng
- 机构：East China Univ Sci & Technol;East China Normal Univ;East China Normal Univ;East China Normal Univ;Nantong Univ
- 来源：JOURNAL OF CONTROLLED RELEASE 2025
- 关键词：Brain-computer interface Visual EEG Optogenetics Synthetic designer cells Diabetic mice Blood glucose homeostasis
- A Transfer Learning SSVEP Decoding Algorithm Calibrated With Single-Trial Data被引量：0收藏
- 作者：Jin, Jing Qin, Ke Allison, Brendan Z. Li, Shurui Zhang, Yutao Wang, Xingyu Cichocki, Andrzej
- 机构：East China Univ Sci & Technol;East China Univ Sci & Technol;Univ Calif San Diego;Polish Acad Sci;RIKEN Adv Intelligence Project
- 来源：IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2026
- 关键词：Calibration Decoding Spatial filters Transfer learning Electroencephalography Correlation Visualization Vectors Steady-state Signal to noise ratio Brain-computer interfaces (BCIs) cross-dataset data mismatch problem steady-state visual-evoked potential (SSVEP) transfer learning (TL)
