Assistant Professor, Department of Computer Science

Email: [email protected]

Phone: 616-331-7033

Office: DCIH 530F

Education
Ph.D. in Computer Science & Engineering, University of Buffalo, 2021

Asynchronous Courses: AI 201-2

Dr. Tiehang Duan is an expert in machine learning, brain-computer interfaces, and medical informatics. His research focuses on decoding brain signals to develop assistive technologies, such as brain-controlled wheelchairs and exoskeletons. He previously worked as a research scientist at Meta AI and held visiting scholar roles at West Virginia University and the Mayo Clinic. His work has been widely published in top-tier journals and conferences, and he is passionate about advancing AI-driven solutions that improve lives and inspire the next generation of innovators.

Outside of academia, Duan enjoys a variety of sports, including basketball, table tennis, billiards and bowling, and is looking forward to immersing himself into the Greater Grand Rapids tech and research community.

• Online continual decoding of streaming EEG signal with a balanced and informative memory buffer. Tiehang Duan, Zhenyi Wang, Fang Li, Gianfranco Doretto, Donald Adjeroh, Yiyi Yin, Cui Tao. Neural Networks, vol. 176, 2024.
• Retain and Adapt: Online Sequential EEG Classification with Subject Shift. Tiehang Duan, Zhenyi Wang, Li Shen, Gianfranco Doretto, Donald Adjeroh, Fang Li, Cui Tao. IEEE Transactions on Artificial Intelligence, vol. 5, no. 6, 2024.
• Training A Secure Model against Data-Free Model Extractio. Zhenyi Wang, Li Shen, junfeng guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao. European Conference on Computer Vision (ECCV), 2024.
• RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation. Yiming Li et al. Journal of the American Medical Informatics Association, Vol. 31, 2024.
• Replay with Stochastic Neural Transformation for Online Continual EEG Classification
  Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald Adjeroh.
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023.
• Distributionally Robust Memory Evolution with Generalized Divergence for Continual Learning. Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao
  IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45 no. 12, 2023.