Personalized Pricing with Group Fairness Constraint. - Xin Chen 026; Zexing Xu; Zishuo Zhao; Yuan Zhou 007 (FAccT, 2023)

Peak Period Demand Forecasting with Proxy Data: GNN-Enhanced Meta-Learning. - Zexing Xu; Linjun Zhang; Sitan Yang; Nan Jiang (WACV (Workshops), 2024)

F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data. - Zexing Xu; Linjun Zhang; Sitan Yang; S. Rasoul Etesami 001; Hanghang Tong; Huan Zhang 001; Jiawei Han 001 (CoRR, 2024)

FaithfulPersona: Balancing Faithfulness and Personalization in Code Explanations through Self-Critique. - Zhuang Luo; Yichuan Li 001; Zexing Xu; Kyumin Lee; S. Rasoul Etesami 001 (NAACL (Findings), 2025)

From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models. - Zexing Xu; Zhuang Luo; Yichuan Li 001; Kyumin Lee; S. Rasoul Etesami 001 (CoRR, 2025)