Liu, Yezi

7 publications

IJCAI 2025 DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-Propagation Yezi Liu, Jiaxuan Xie, Yanning Shen

TMLR 2025 Gradient Inversion Attack on Graph Neural Networks Divya Anand Sinha, Yezi Liu, Ruijie Du, Athina Markopoulou, Yanning Shen

WACV 2025 Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach Wenjun Huang, Yang Ni, Arghavan Rezvani Dehaghani, SungHeon Evan Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani

AAAI 2025 Towards Trustworthy, Efficient, and Scalable Machine Learning Yezi Liu

WACV 2025 VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, SungHeon Jeong, Fei Wen, Nathaniel Bastian, Hugo Latapie, Mohsen Imani

ECCVW 2024 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

AAAI 2022 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