Jie Li

Orcid: 0000-0002-9299-3251

Affiliations:
  • Tongji University, College of Electronics and Information Engineering, Shanghai, China


According to our database1, Jie Li authored at least 12 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Few-Shot Class-Incremental Learning With Dynamic Prototype Refinement for Brain Activity Classification.
IEEE J. Biomed. Health Informatics, January, 2026

QMATE: Mitigating gradient conflict with query-enhanced multi-task adaptive transformer for unifying EEG representation.
Knowl. Based Syst., 2026

2025
DynaMind: Reconstructing Dynamic Visual Scenes from EEG by Aligning Temporal Dynamics and Multimodal Semantics to Guided Diffusion.
CoRR, September, 2025

EEG-FM-Bench: A Comprehensive Benchmark for the Systematic Evaluation of EEG Foundation Models.
CoRR, August, 2025

ALFEE: Adaptive Large Foundation Model for EEG Representation.
CoRR, May, 2025

From Micro to Meso: A Data-Driven Mesoscopic Region Division Method Based on Functional Connectivity for EEG-Based Driver Fatigue Detection.
IEEE J. Biomed. Health Informatics, April, 2025

Sequential sEMG Recognition With Knowledge Transfer and Dynamic Graph Network Based on Spatio-Temporal Feature Extraction Network.
IEEE J. Biomed. Health Informatics, February, 2025

Express your feelings in words when you get sick of others' pain: Effects of word labeling on pain empathy in phase-amplitude coupling.
NeuroImage, 2025

2023
Regulating Systemic Crises: Stemming the Contagion Risk in Networked-Loans Through Deep Graph Learning.
IEEE Trans. Knowl. Data Eng., June, 2023

2020
Task Transfer Learning for EEG Classification in Motor Imagery-Based BCI System.
Comput. Math. Methods Medicine, 2020

2015
Composite Particle Swarm Optimizer With Historical Memory for Function Optimization.
IEEE Trans. Cybern., 2015

2014
Integrating Particle Swarm Optimization with Learning Automata to solve optimization problems in noisy environment.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014


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