Yezi Liu

According to our database, Yezi Liu authored at least 21 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing.

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

CoRR, May, 2025

LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation.

Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Yezi Liu, Tamoghno Das, Mohsen Imani

CoRR, April, 2025

Gradient Inversion Attack on Graph Neural Networks.

Divya Anand Sinha, Yezi Liu, Ruijie Du, Athina Markopoulou, Yanning Shen

Trans. Mach. Learn. Res., 2025

Beyond Node Condensation: Learning Tiny Graphs via Joint Graph Condensation.

Yezi Liu, Yanning Shen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Towards Trustworthy, Efficient, and Scalable Machine Learning.

Yezi Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Promoting fairness in link prediction with graph enhancement.

Yezi Liu, Hanning Chen, Mohsen Imani

Frontiers Big Data, 2024

Tell Me What to Track: Infusing Robust Language Guidance for Enhanced Referring Multi-Object Tracking.

Wenjun Huang, Yang Ni, Hanning Chen, Yirui He, Ian Bryant, Yezi Liu, Mohsen Imani

CoRR, 2024

Gradient Inversion Attack on Graph Neural Networks.

Divya Anand Sinha, Yezi Liu, Ruijie Du, Yanning Shen

CoRR, 2024

TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks.

Yezi Liu, Yanning Shen

CoRR, 2024

TinyData: Joint Dataset Condensation with Dimensionality Reduction.

Yezi Liu, Yanning Shen

Proceedings of the 32nd European Signal Processing Conference, 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

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Error Detection on Knowledge Graphs with Triple Embedding.

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

Proceedings of the 31st European Signal Processing Conference, 2023

FairGraph: Automated Graph Debiasing with Gradient Matching.

Yezi Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Explaining Dynamic Graph Neural Networks via Relevance Back-propagation.

Jiaxuan Xie, Yezi Liu, Yanning Shen

CoRR, 2022

Contrastive Knowledge Graph Error Detection.

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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 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, Xia Hu, James Caverlee

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2018

Semi-supervised Multi-label Dimensionality Reduction via Low Rank Representation.

Yezi Liu

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Multi-Label Classification Based on Low Rank Representation for Image Annotation.

Qiaoyu Tan, Yezi Liu, Xia Chen, Guoxian Yu

Remote. Sens., 2017