Yezi Liu - RankMe

36 papers A* 4A 6Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Debias Once for All: A Data-Centric Strategy for Fair Machine Learning. WSDM Yezi Liu, Hanning Chen, Yanning Shen, Mohsen Imani
2026	J	`jnl`	LiteFANet: A lightweight UNet-based fusion-attention segmentation network for 2D and 3D medical images. Biomed. Signal Process. Control. Kang Xu, Xiaoming Guo, Bin Pan, Yunhui Zhang, Yezi Liu, Xuan Zhang, Xiao Zeng, Yu Liu
2026	J	`jnl`	MERIT: Multi-domain Efficient RAW Image Translation. CoRR Wenjun Huang, Shenghao Fu, Yian Jin, Yang Ni, Ziteng Cui, Hanning Chen, Yirui He, Yezi Liu, Sanggeon Yun, Sungheon Jeong, Ryozo Masukawa, William Youngwoo Chung, Mohsen Imani
2025	J	`jnl`	Are Hypervectors Enough? Single-Call LLM Reasoning over Knowledge Graphs. CoRR Yezi Liu, William Youngwoo Chung, Hanning Chen, Calvin Yeung, Mohsen Imani
2025	—	`conf`	Beyond Node Condensation: Learning Tiny Graphs via Joint Graph Condensation. WWW (Companion Volume) Yezi Liu, Yanning Shen
2025	J	`jnl`	Cauchy-Schwarz Fairness Regularizer. CoRR Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani
2025	A*	`conf`	DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation. IJCAI Yezi Liu, Jiaxuan Xie, Yanning Shen
2025	J	`jnl`	Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing. CoRR Yezi Liu, Prathyush Poduval, Wenjun Huang, Yang Ni, Hanning Chen, Mohsen Imani
2025	A	`conf`	Enabling Group Fairness in Machine Unlearning via Distribution Correction. CIKM Yezi Liu, Yanning Shen
2025	J	`jnl`	Gradient Inversion Attack on Graph Neural Networks. Trans. Mach. Learn. Res. Divya Anand Sinha, Yezi Liu, Ruijie Du, Athina Markopoulou, Yanning Shen
2025	J	`jnl`	LUNE: Efficient LLM Unlearning via LoRA Fine-Tuning with Negative Examples. CoRR Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani
2025	A*	`conf`	LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation. ACM Multimedia Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Yezi Liu, Tamoghno Das, Mohsen Imani
2025	J	`jnl`	LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation. CoRR Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Yezi Liu, Tamoghno Das, Mohsen Imani
2025	J	`jnl`	Mitigating Bias in Graph Hyperdimensional Computing. CoRR Yezi Liu, William Youngwoo Chung, Yang Ni, Hanning Chen, Mohsen Imani
2025	J	`jnl`	Recover-to-Forget: Gradient Reconstruction from LoRA for Efficient LLM Unlearning. CoRR Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani
2025	A	`conf`	Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. WACV Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani
2025	A*	`conf`	Towards Trustworthy, Efficient, and Scalable Machine Learning. AAAI Yezi Liu
2025	A	`conf`	VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. WACV Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani
2025	—	`conf`	White Admitted by Stanford, Black Got Rejections: Exploring Racial Stereotypes in Text-to-Image Generation from a College Admissions Lens. WWW (Companion Volume) Yezi Liu, Wenjun Huang, Yang Ni, Hanning Chen, Mohsen Imani
2024	J	`jnl`	Gradient Inversion Attack on Graph Neural Networks. CoRR Divya Anand Sinha, Yezi Liu, Ruijie Du, Yanning Shen
2024	J	`jnl`	Promoting Fairness in Link Prediction with Graph Enhancement. CoRR Yezi Liu, Hanning Chen, Mohsen Imani
2024	J	`jnl`	Promoting fairness in link prediction with graph enhancement. Frontiers Big Data Yezi Liu, Hanning Chen, Mohsen Imani
2024	J	`jnl`	Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. CoRR Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani
2024	—	`conf`	TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection. ECCV Workshops (20) Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Yezi Liu, Fei Wen, Alvaro Velasquez, Hugo Latapie, Mohsen Imani
2024	J	`jnl`	Tell Me What to Track: Infusing Robust Language Guidance for Enhanced Referring Multi-Object Tracking. CoRR Wenjun Huang, Yang Ni, Hanning Chen, Yirui He, Ian Bryant, Yezi Liu, Mohsen Imani
2024	—	`conf`	TinyData: Joint Dataset Condensation with Dimensionality Reduction. EUSIPCO Yezi Liu, Yanning Shen
2024	J	`jnl`	TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks. CoRR Yezi Liu, Yanning Shen
2024	J	`jnl`	VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. CoRR Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani
2023	—	`conf`	Error Detection on Knowledge Graphs with Triple Embedding. EUSIPCO Yezi Liu, Qinggang Zhang, Mengnan Du, Xiao Huang, Xia Hu
2023	A	`conf`	FairGraph: Automated Graph Debiasing with Gradient Matching. CIKM Yezi Liu
2022	A	`conf`	Contrastive Knowledge Graph Error Detection. CIKM Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu
2022	J	`jnl`	Contrastive Knowledge Graph Error Detection. CoRR Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu
2022	J	`jnl`	Explaining Dynamic Graph Neural Networks via Relevance Back-propagation. CoRR Jiaxuan Xie, Yezi Liu, Yanning Shen
2022	A*	`conf`	RES: An Interpretable Replicability Estimation System for Research Publications. AAAI Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman III, Xia Hu, James Caverlee
2018	—	`conf`	Semi-supervised Multi-label Dimensionality Reduction via Low Rank Representation. ICONIP (3) Yezi Liu
2017	J	`jnl`	Multi-Label Classification Based on Low Rank Representation for Image Annotation. Remote. Sens. Qiaoyu Tan, Yezi Liu, Xia Chen, Guoxian Yu