Scalable Feature Selection for (Multitask) Gradient Boosted Trees. - Cuize Han; Nikhil Rao 001; Daria Sorokina; Karthik Subbian (AISTATS, 2020)

Learning to Rank with Missing Data via Generative Adversarial Networks. - Grace Deng; Cuize Han; David S. Matteson (CoRR, 2020)

Information based complexity for high dimensional sparse functions. - Cuize Han; Ming Yuan (J. Complex., 2020)

Aggregated Customer Engagement Model. - Priya Gupta; Cuize Han (CoRR, 2021)

Addressing Cold Start in Product Search via Empirical Bayes. - Cuize Han; Pablo Castells; Parth Gupta; Xu Xu; Vamsi Salaka (CIKM, 2022)

IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance. - Grace Deng; Cuize Han; Tommaso Dreossi; Clarence Lee; David S. Matteson (SDM, 2022)

Extended missing data imputation via GANs for ranking applications. - Grace Deng; Cuize Han; David S. Matteson (Data Min. Knowl. Discov., 2022)

Measuring Service-Level Learning Effects in Search Via Query-Randomized Experiments. - Paul Musgrave; Cuize Han; Parth Gupta (SIGIR, 2023)

Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach. - Tao Yang 030; Cuize Han; Chen Luo 003; Parth Gupta; Jeff M. Phillips; Qingyao Ai (WWW, 2024)