Yifan Xu

Orcid: 0000-0003-1591-0384

Affiliations:
  • Huazhong University of Science and Technology, Wuhan, China


According to our database1, Yifan Xu authored at least 16 papers between 2019 and 2024.

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

2024
Cross-Task Inconsistency Based Active Learning (CTIAL) for Emotion Recognition.
IEEE Trans. Affect. Comput., 2024

CSP-Net: Common spatial pattern empowered neural networks for EEG-based motor imagery classification.
Knowl. Based Syst., 2024

2023
Layer Normalization for TSK Fuzzy System Optimization in Regression Problems.
IEEE Trans. Fuzzy Syst., 2023

Cross-Modal Diversity-Based Active Learning for Multi-Modal Emotion Estimation.
Proceedings of the International Joint Conference on Neural Networks, 2023

WAVELET2VEC: A Filter Bank Masked Autoencoder for EEG-Based Seizure Subtype Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

DARC: High-dimensional Diffusing Anomaly Detection and Root Cause Location in Cloud Computing Systems.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016.
IEEE Trans. Cogn. Dev. Syst., 2022

Inconsistency-Based Multi-Task Cooperative Learning for Emotion Recognition.
IEEE Trans. Affect. Comput., 2022

Facial Affect Analysis: Learning from Synthetic Data & Multi-Task Learning Challenges.
CoRR, 2022

PyTSK: A Python Toolbox for TSK Fuzzy Systems.
CoRR, 2022

Facial Expression Recognition In-the-Wild with Deep Pre-trained Models.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progresses Since 2016.
CoRR, 2020

2019
EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training.
CoRR, 2019

Multi-Task Deep Learning With Dynamic Programming for Embryo Early Development Stage Classification From Time-Lapse Videos.
IEEE Access, 2019

EEG-Based Driver Drowsiness Estimation Using Self-Paced Learning with Label Diversity.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019


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