- Computer Vision and 3D Reconstruction (COLMAP, SMPL-X, Gaussian Splatting, Pose Estimation)
- Single-Cell Genomics and Bioinformatics (GeneCompass, MoTrPAC)
- NLP and LLM Application Development (RAG Pipelines, Course-Constrained AI)
- Statistical Education Technology and Accessible Course Design
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LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class Classification — Reese T., Michael Zhu Y. (2022). Deep Learning Applications, Volume 3. Springer.
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LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class Classification — Reese T., Zhu M. (2020). 19th IEEE ICMLA.
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Kernel Regression Estimation for Incomplete Data with Applications — Mojirsheibani M., Reese T. (2017). Statistical Papers, 58, 185-209.
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On the Lp Norms of Kernel Regression Estimators for Incomplete Data with Applications to Classification — Reese T., Mojirsheibani M. (2017). Statistical Methods & Applications, 26, 81-112.
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Cortical and Subcortical Contributions to Predicting Intelligence Using 3D ConvNets — Zou Y., Jang I., Reese T.G., Yao J., Zhu W., Rispoli J.V. (2019). ABCD-NP 2019. Springer.