• CIKM'21 | SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios | [Individual Fairness + Item Fairness] | 知乎
• WWW'22 | Distributionally-robust Recommendations for Improving Worst-case User Experience | [Group Fairness + User Fairness] | 知乎
• SIGIR'21 | Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation | 知乎
• SIGIR'20 | Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback | 知乎

Other Fields

• ICML'22 | Fairness with Adaptive Weights | [Group Fairness + User Fairness] | 知乎
• NIPS'21 | Sample Selection for Fair and Robust Training | [Group Fairness + User Fairness] | 知乎