34 citations · 76 across the 9 of their papers we have counts for
9 papers
Cross-Task Inconsistency Based Active Learning (CTIAL) for Emotion Recognition
Yifan Xu, Xue Jiang, Dongrui Wu
Emotion recognition is a critical component of affective computing. Training accurate machine learning models for emotion recognition typically requires a large amount of labeled d…
CSP-Net: Common Spatial Pattern Empowered Neural Networks for EEG-Based Motor Imagery Classification
Xue Jiang, Lubin Meng, Xinru Chen +2
Electroencephalogram-based motor imagery (MI) classification is an important paradigm of non-invasive brain-computer interfaces. Common spatial pattern (CSP), which exploits differ…
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces
Xiaoqing Chen, Dongrui Wu
Machine learning has achieved great success in electroencephalogram (EEG) based brain-computer interfaces (BCIs). Most existing BCI research focused on improving its accuracy, but…
Facial Affect Analysis: Learning from Synthetic Data & Multi-Task Learning Challenges
Siyang Li, Yifan Xu, Huanyu Wu +4
Facial affect analysis remains a challenging task with its setting transitioned from lab-controlled to in-the-wild situations. In this paper, we present novel frameworks to handle…
PyTSK: A Python Toolbox for TSK Fuzzy Systems
Yuqi Cui, Dongrui Wu, Xue Jiang +1
This paper presents PyTSK, a Python toolbox for developing Takagi-Sugeno-Kang (TSK) fuzzy systems. Based on scikit-learn and PyTorch, PyTSK allows users to optimize TSK fuzzy syste…
Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions
Yuqi Cui, Dongrui Wu, Yifan Xu
Takagi-Sugeno-Kang (TSK) fuzzy system with Gaussian membership functions (MFs) is one of the most widely used fuzzy systems in machine learning. However, it usually has difficulty…
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016
Dongrui Wu, Yifan Xu, Bao-Liang Lu
A brain-computer interface (BCI) enables a user to communicate with a computer directly using brain signals. The most common non-invasive BCI modality, electroencephalogram (EEG),…
EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training
Yuqi Cuui, Yifan Xu, Dongrui Wu
Drowsy driving is pervasive, and also a major cause of traffic accidents. Estimating a driver's drowsiness level by monitoring the electroencephalogram (EEG) signal and taking prev…
Multi-Task Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from Time-Lapse Videos
Zihan Liu, Bo Huang, Yuqi Cui +6
Time-lapse is a technology used to record the development of embryos during in-vitro fertilization (IVF). Accurate classification of embryo early development stages can provide emb…