• [IJCAI’25] Explaining Dynamic Graph Neural Networks via Relevance Back-Propagation [Paper]

  Yezi Liu, Jiaxuan Xie, Yanning Shen

• [WWW’25 (Short)] White Admitted by Stanford, Black Got Rejections: Exploring Racial Stereotypes in Text-to-Image Generation from a College Admissions Lens [Paper]

  Yezi Liu, Wenjun Huang, Yang Ni, Hanning Chen, Mohsen Imani

• [WWW’25 (Short)] Beyond Node Condensation: Learning Tiny Graphs via Joint Graph Condensation [Paper]

  Yezi Liu, Yanning Shen

• [Frontiers in Big Data] Promoting Fairness in Link Prediction with Graph Enhancement [Paper]

  Yezi Liu, Hanning Chen, Mohsen Imani

• [EUSIPCO’24] TinyData: Joint Dataset Condensation with Dimensionality Reduction [Paper]

  Yezi Liu, Yanning Shen

• [WACV’25] 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’25] 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

• [FOCUS Workshop ECCV’24] 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

• [EUSIPCO’23] Error Detection on Knowledge Graphs with Triple Embedding [Paper]

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

• [CIKM’22] Contrastive Knowledge Graph Error Detection [Paper]

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

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.