I am an Assistant Professor of Computer Science at Eastern Kentucky University. I did my Ph.D. study at the University of Kentucky, under the direction of Dr. Nathan Jacobs. I am excited about using computer vision and deep learning techniques to solve real-world problems. I have focused on a variety of problems, including medical image understanding, galaxy cluster estimating, and radiographic synthesizing. Before diving into the deep learning world, I earned an undergraduate degree that focuses on video game design and worked in the industry for a while. I am thrilled that I can pick up video game design at the EKU Gaming Institute.
- 07/15/2021: Two papers on Alzheimer's disease diagnosis are accepted to EMBC'21. One of them was carried out by my independent study student Qi Ying through the Spring 2021 semester. Congrats, Qi!
- 04/12/2021: One abstract on deep learning based enteral feeding tube positioning assessment is accepted to the AAPM 63rd Annual Meeting and will be presented in the (scientific) session of Imaging: AI in Imaging on 07/25/2021.
- 11/02/2020: I officially join EKU today! I am excited to start my career and open a new chapter of my life! I am also thrilled to work with the students at the CS department and EKU Gaming Institute.
- 10/30/2020: One paper on galaxy cluster richness estimation is accepted to 2020 NeurIPS Workshop on Machine Learning and the Physical Sciences. Galaxy cluster richness estimation is related to understanding dark matter, which is the matter occupied about 85% of the universe but cannot be observed yet.
- 10/10/2020: One paper about galaxy cluster cooling time prediction is accepted to ICPR2020. (Acceptance rate 28.47%)
- 09/22/2020: Successfully defended my PhD thesis today! Thanks to the many people who supported me and helped me along the way! HOORAY!
- 09/16/2020: The research team/project of galaxy cluster analysis is featured in UKNow.
- 08/25/2020: One paper about using deep learning on astrophysics image is accepted by the Monthly Notices of the Royal Astronomical Society. (impact factor: 5.356)
- 07/31/2020: One paper on Alzheimer's disease diagnose using MRI images is accepted by ECCV'20 BIC Workshop.
- 07/29/2020: One paper about neural network calibration is accepted by BMVC'20. (Acceptance rate 29.1%)
- 07/29/2020: One research about Alzheimer's disease is mentioned in UKNow.
- 06/30/2020: One paper about calibration for medical imaging classification models is accepted by ICML'20 Uncertainty & Robustness in Deep Learning Workshop.
- 06/15/2020: One paper about biomarkers categorized and their predictive utility in identifying different stages in Alzheimer’s disease (AD) progression using is accepted by Nature Communications Biology.
- 04/17/2020: Received the Outstanding Ph.D. Student Award of the Computer Science Department for the 2019-2020 academic year.
- 02/18/2020: AI in Healthcare published an article that highlighted my latest JACR paper about the inconsistency performance of deep learning on breast cancer classification. [Read more here]
- 02/14/2020: One paper about translational relevance of deep learning model performance on mammograms is accepted by the Journal of the American College of Radiology (impact factor: 4.268).