Projects

H. Luo. “Reinforcement Learning on NHL Expected Goal Models in SuperTuxKart”. May 2023. [pdf]
H. Luo. “A Statistical Approach to Analyzing and Mitigating Question-Answering Artifacts in SQuAD”. December 2022. [pdf]
H. Luo “Quantitative Analysis for Baseball Simulator (Web Application)”. December 2021. (https://share.streamlit.io/hluo27/broken_bat_app/main)
H. Luo. “Predicting Batting Performance with Ensemble Neural Nets and Data Augmentation in Baseball Simulator”. September 2020. [pdf]
H. Luo. “Identifying Optimal Draft Strategies in a Baseball Simulator”. June 2020. [pdf]
S. Kale, H. Luo, A. Yeh, A. Zhu. “Yelp Review Rating Prediction with Stacked LSTMs and Data Augmentation”. May 2020. [pdf]