| 2026 | ACL | LUNE: Efficient LLM Unlearning via LoRA Fine-Tuning with Negative Examples. | Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani |
| 2026 | WSDM | Debias Once for All: A Data-Centric Strategy for Fair Machine Learning. | Yezi Liu, Hanning Chen, Yanning Shen, Mohsen Imani |
| 2025 | AAAI | Towards Trustworthy, Efficient, and Scalable Machine Learning. | Yezi Liu |
| 2025 | CIKM | Enabling Group Fairness in Machine Unlearning via Distribution Correction. | Yezi Liu, Yanning Shen |
| 2025 | IJCAI | DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation. | Yezi Liu, Jiaxuan Xie, Yanning Shen |
| 2025 | WWW | 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 |
| 2025 | WWW | Beyond Node Condensation: Learning Tiny Graphs via Joint Graph Condensation. | Yezi Liu, Yanning Shen |
| 2025 | WACV | VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. | Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani |
| 2025 | WACV | Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. | Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani |
| 2024 | ECCV | TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection. | Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Yezi Liu, Fei Wen, Alvaro Velasquez, Hugo Latapie, Mohsen Imani |
| 2023 | CIKM | FairGraph: Automated Graph Debiasing with Gradient Matching. | Yezi Liu |
| 2022 | AAAI | RES: An Interpretable Replicability Estimation System for Research Publications. | Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman III, Xia Hu, James Caverlee |
| 2022 | CIKM | Contrastive Knowledge Graph Error Detection. | Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu |
| 2018 | ICONIP | Semi-supervised Multi-label Dimensionality Reduction via Low Rank Representation. | Yezi Liu |