Yezi Liu

2026

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Debias Once for All: A Data-Centric Strategy for Fair Machine Learning.
Yezi Liu|Hanning Chen|Yanning Shen|Mohsen Imani
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026

2025

doi dblp
Enabling Group Fairness in Machine Unlearning via Distribution Correction.
Yezi Liu|Yanning Shen
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
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White Admitted by Stanford, Black Got Rejections: Exploring Racial Stereotypes in Text-to-Image Generation from a College Admissions Lens.
Yezi Liu|Wenjun Huang|Yang Ni|Hanning Chen|Mohsen Imani
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
doi dblp
Beyond Node Condensation: Learning Tiny Graphs via Joint Graph Condensation.
Yezi Liu|Yanning Shen
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

2023

doi dblp
FairGraph: Automated Graph Debiasing with Gradient Matching.
Yezi Liu
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

2022

doi dblp
Contrastive Knowledge Graph Error Detection.
Qinggang Zhang|Junnan Dong|Keyu Duan|Xiao Huang|Yezi Liu|Linchuan Xu
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022