I’m currently a Ph.D. candidate at the University of California Irvine, supervised by Professor Mohsen Imani. My research interests are Trustworthy Machine Learning, Graph Neural Networks, and Data-centric AI.
Selected Publications:
Promoting Fairness in Link Prediction with Graph Enhancement [Paper]
Yezi Liu, Hanning Chen, Mohsen Imani
Frontiers in Big Data.
TinyData: Joint Dataset Condensation with Dimensionality Reduction [Paper]
Yezi Liu, Yanning Shen
EUSIPCO 2024.
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation [Paper]
Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, SungHeon Jeong, Fei Wen, Nathaniel Bastian, Hugo Latapie, Mohsen Imani
WACV 2025.
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach [Paper]
Wenjun Huang, Yang Ni, Arghavan Rezvani, SungHeon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani
WACV 2025.
TaskClip: Extend Large Vision-Language Model for Task-Oriented Object Detection [Paper]
Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Yezi Liu, Fei Wen, Alvaro Velasquez, Hugo Latapie, Mohsen Imani
FOCUS ECCV24 Workshop.
Error Detection on Knowledge Graphs with Triple Embedding [Paper]
Yezi Liu, Qinggang Zhang, Mengnan Du, Xiao Huang, Xia Hu
EUSIPCO 2023.
Contrastive Knowledge Graph Error Detection [Paper]
Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu
CIKM 2022.
Explaining Dynamic Graph Neural Networks via Relevance Back-Propagation [Paper]
Yezi Liu, Jiaxuan Xie, Yanning Shen
Under review.
Education
- Ph.D. Student, Computer Engineering, University of California Irvine. Oct. 2021 - now.
- Master of Science, Computer Science, Texas A&M University. Sep. 2019 - Aug. 2021.
- Master of Science, Information Science, University of Pittsburgh. Sep. 2017 - April 2019.