A novel computer-aided diagnosis system for breast MRI based on feature selection and ensemble learning. - Wei Lu 026; Zhe Li 013; Jinghui Chu (Comput. Biol. Medicine, 2017)

Adaptive Ensemble Undersampling-Boost: A novel learning framework for imbalanced data. - Wei Lu 026; Zhe Li 013; Jinghui Chu (J. Syst. Softw., 2017)

Towards the next generation of multi-criteria recommender systems. - Zhe Li 013 (RecSys, 2018)

New Insights into Metric Optimization for Ranking-based Recommendation. - Roger Zhe Li; Julián Urbano; Alan Hanjalic (SIGIR, 2021)

Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users. - Roger Zhe Li; Julián Urbano; Alan Hanjalic (WSDM, 2021)

Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning. - Roger Zhe Li; Julián Urbano; Alan Hanjalic (ICTIR, 2023)

Metric Optimization and Mainstream Bias Mitigation in Recommender Systems. - Roger Zhe Li (SIGIR Forum, 2023)