Follow
Xiaodong Qu
Xiaodong Qu
Assistant Professor of Practice, Computer Science, George Washington University
Verified email at gwu.edu - Homepage
Title
Cited by
Cited by
Year
Using EEG to distinguish between writing and typing for the same cognitive task
X Qu, Q Mei, P Liu, T Hickey
Brain Function Assessment in Learning: Second International Conference, BFAL …, 2020
362020
Multi-class time continuity voting for EEG classification
X Qu, P Liu, Z Li, T Hickey
Brain Function Assessment in Learning: Second International Conference, BFAL …, 2020
262020
Identifying clinically and functionally distinct groups among healthy controls and first episode psychosis patients by clustering on EEG patterns
X Qu, S Liukasemsarn, J Tu, A Higgins, TJ Hickey, MH Hall
Frontiers in psychiatry 11, 541659, 2020
222020
EEG markers of stem learning
X Qu, Y Sun, R Sekuler, T Hickey
2018 IEEE Frontiers in Education Conference (FIE), 1-9, 2018
222018
A Personalized Reading Coach using Wearable EEG Sensors-A Pilot Study of Brainwave Learning Analytics.
X Qu, M Hall, Y Sun, R Sekuler, TJ Hickey
CSEDU (2), 501-507, 2018
172018
Attention-based CNN capturing EEG recording’s average voltage and local change
L Yi, X Qu
International Conference on Human-Computer Interaction, 448-459, 2022
122022
EEG4Home: A Human-In-The-Loop Machine Learning Model for EEG-Based BCI
X Qu, T Hickey
International Conference on Human-Computer Interaction, 162-172, 2022
92022
EEG Daydreaming, A Machine Learning Approach to Detect Daydreaming Activities
R Wang, X Qu
International Conference on Human-Computer Interaction, 202-212, 2022
72022
Time Majority Voting, a PC-based EEG Classifier for Non-expert Users
G Dou, Z Zhou, X Qu
International Conference on Human-Computer Interaction, 2022
42022
BrainActivity1: A Framework of EEG Data Collection and Machine Learning Analysis for College Students
Z Zhou, G Dou, X Qu
International Conference on Human-Computer Interaction, 2022
22022
Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers
N Koome Murungi, MV Pham, X Dai, X Qu
arXiv e-prints, arXiv: 2307.02819, 2023
1*2023
Ensemble methods and lstm outperformed other eight machine learning classifiers in an eeg-based bci experiment
X Qu, Z Hu, Z Li, TJ Hickey
International Conference on Learning Representations, 2019
12019
Exploring AI Music Generation: A Review of Deep Learning Algorithms and Datasets for Undergraduate Researchers
I Yunoki, G Berreby, N D’Andrea, Y Lu, X Qu
International Conference on Human-Computer Interaction, 102-116, 2023
2023
Empowering Computer Science Students in Electroencephalography (EEG) Analysis: A Review of Machine Learning Algorithms for EEG Datasets
NK Murungi, MV Pham, XC Dai, X Qu
the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 23), 2023
2023
Time Continuity Voting for Electroencephalography (EEG) Classification
X Qu
Brandeis University, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–15