Xiaodong Qu

Assistant Professor

Contact:

Email: Xiaodong Qu

Website

Professor Xiaodong Qu's expertise lies at the intersection of Machine Learning and Brain-Computer Interfaces. His machine learning research centers on ensemble methods and specialized approaches for time-series data, including LSTM and Transformer models. On the Brain Signal front, he specializes in non-invasive brain signals for both clinical and non-clinical applications. Dr. Qu holds a Ph.D. in Computer Science from Brandeis University.

Publications

(Selected, more details are on my Google Scholar page and Research Gate page)
Yi, Long, and Xiaodong Qu. "Attention-Based CNN Capturing EEG Recording’s Average Voltage and Local Change." In International Conference on Human-Computer Interaction, pp. 448-459. Springer, Cham, 2022. Paper, Slides
Wang, Ruyang, and Xiaodong Qu. "EEG Daydreaming, A Machine Learning Approach to Detect Daydreaming Activities." In International Conference on Human-Computer Interaction, pp. 202-212. Springer, Cham, 2022. Paper, Slides
Dou, Guangyao, Zheng Zhou, and Xiaodong Qu. "Time Majority Voting, a PC-based EEG Classifier for Non-expert Users." In International Conference on Human-Computer Interaction, 2022, Late Breaking Work. PDF File, Slides
Zhou, Zheng, Guangyao Dou, and Xiaodong Qu. "BrainActivity1: A Framework of EEG Data Collection and Machine Learning Analysis for College Students." In International Conference on Human-Computer Interaction, 2022, Late Breaking Work. Paper, Poster
Qu, Xiaodong, and Timothy J. Hickey. "EEG4Home: A Human-In-The-Loop Machine Learning Model for EEG-Based BCI." In International Conference on Human-Computer Interaction, pp. 162-172. Springer, Cham, 2022. PDF File, Slides
Qu, Xiaodong, Peiyan Liu, Zhaonan Li, and Timothy Hickey. "Multi-class Time Continuity Voting for EEG Classification." In International Conference on Brain Function Assessment in Learning, pp. 24-33. Springer, Cham, 2020. Best Paper Award, PDF File
Qu, Xiaodong, Qingtian Mei, Peiyan Liu, and Timothy Hickey. "Using EEG to distinguish between writing and typing for the same cognitive task." In International Conference on Brain Function Assessment in Learning, pp. 66-74. Springer, Cham, 2020. PDF File
Qu, Xiaodong, Saran Liukasemsarn, Jingxuan Tu, Amy Higgins, Timothy J. Hickey, and Mei-Hua Hall. "Identifying clinically and functionally distinct groups among healthy controls and first episode psychosis patients by clustering on EEG patterns." Frontiers in psychiatry (2020): 938. PDF File
Qu, Xiaodong, Yixin Sun, Robert Sekuler, and Timothy Hickey. "EEG markers of STEM learning." In 2018 IEEE Frontiers in Education Conference (FIE), pp. 1-9. IEEE, 2018. PDF File
Qu, Xiaodong, Mercedes Hall, Yile Sun, Robert Sekuler, and Timothy J. Hickey. "A Personalized Reading Coach using Wearable EEG Sensors." Presentation In Analytics in Education Environments (A2E2018). PDF File