Cuize Han - RankMe

13 papers A* 2A 3Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Metadata Extraction Leveraging Large Language Models. CoRR Cuize Han, Sesh Jalagam
2024	A*	`conf`	Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach. WWW Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai
2023	A*	`conf`	Measuring Service-Level Learning Effects in Search Via Query-Randomized Experiments. SIGIR Paul Musgrave, Cuize Han, Parth Gupta
2023	J	`jnl`	Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach. CoRR Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai
2022	A	`conf`	Addressing Cold Start in Product Search via Empirical Bayes. CIKM Cuize Han, Pablo Castells, Parth Gupta, Xu Xu, Vamsi Salaka
2022	J	`jnl`	Extended missing data imputation via GANs for ranking applications. Data Min. Knowl. Discov. Grace Deng, Cuize Han, David S. Matteson
2022	A	`conf`	IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance. SDM Grace Deng, Cuize Han, Tommaso Dreossi, Clarence Lee, David S. Matteson
2021	J	`jnl`	Aggregated Customer Engagement Model. CoRR Priya Gupta, Cuize Han
2021	J	`jnl`	IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance. CoRR Grace Deng, Cuize Han, Tommaso Dreossi, Clarence Lee, David S. Matteson
2021	J	`jnl`	Scalable Feature Selection for (Multitask) Gradient Boosted Trees. CoRR Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian
2020	J	`jnl`	Information based complexity for high dimensional sparse functions. J. Complex. Cuize Han, Ming Yuan
2020	J	`jnl`	Learning to Rank with Missing Data via Generative Adversarial Networks. CoRR Grace Deng, Cuize Han, David S. Matteson
2020	A	`conf`	Scalable Feature Selection for (Multitask) Gradient Boosted Trees. AISTATS Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian