I am a Ph.D. student at Purdue University in the department of Statistics 🧰 Toolbox 📕 Publications Reese T., Michael Zhu Y. (2022) LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class Classification. In: Wani M.A., Raj B., Luo F., Dou D. (eds) Deep Learning Applications, Volume 3. Advances in Intelligent Systems and Computing, vol 1395. Springer, Singapore. T. Reese and M. Zhu, "LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class Classification," 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020, pp. 142-147, doi: 10.1109/ICMLA51294.2020.00031. Mojirsheibani, M., Reese, T. Kernel regression estimation for incomplete data with applications. Stat Papers 58, 185–209 (2017). Reese, T., Mojirsheibani, M. On the Lp norms of kernel regression estimators for incomplete data with applications to classification. Stat Methods Appl 26, 81–112 (2017). Zou Y., Jang I., Reese T.G., Yao J., Zhu W., Rispoli J.V. (2019) Cortical and Subcortical Contributions to Predicting Intelligence Using 3D ConvNets. In: Pohl K., Thompson W., Adeli E., Linguraru M. (eds) Adolescent Brain Cognitive Development Neurocognitive Prediction. ABCD-NP 2019. Lecture Notes in Computer Science, vol 11791. Springer, Cham.