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.

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  • TinyData: Joint Dataset Condensation with Dimensionality Reduction [Paper]

    Yezi Liu, Yanning Shen

    EUSIPCO 2024.

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  • 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.

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  • 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.

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  • 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.

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  • Error Detection on Knowledge Graphs with Triple Embedding [Paper]

    Yezi Liu, Qinggang Zhang, Mengnan Du, Xiao Huang, Xia Hu

    EUSIPCO 2023.

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  • Contrastive Knowledge Graph Error Detection [Paper]

    Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu

    CIKM 2022.

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  • Explaining Dynamic Graph Neural Networks via Relevance Back-Propagation [Paper]

    Yezi Liu, Jiaxuan Xie, Yanning Shen

    Under review.

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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.