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2020 – today
- 2026
[j4]Kang Xu
, Xiaoming Guo, Bin Pan, Yunhui Zhang, Yezi Liu, Xuan Zhang, Xiao Zeng, Yu Liu:
LiteFANet: A lightweight UNet-based fusion-attention segmentation network for 2D and 3D medical images. Biomed. Signal Process. Control. 112: 108632 (2026)- [c16]Yezi Liu, Hanning Chen, Yanning Shen, Mohsen Imani:
Debias Once for All: A Data-Centric Strategy for Fair Machine Learning. WSDM 2026: 447-457 - 2025
- [j3]Divya Anand Sinha, Yezi Liu, Ruijie Du, Athina Markopoulou, Yanning Shen:
Gradient Inversion Attack on Graph Neural Networks. Trans. Mach. Learn. Res. 2025 (2025) - [c15]Yezi Liu:
Towards Trustworthy, Efficient, and Scalable Machine Learning. AAAI 2025: 29279-29280 - [c14]Yezi Liu, Yanning Shen:
Enabling Group Fairness in Machine Unlearning via Distribution Correction. CIKM 2025: 1925-1935 - [c13]Yezi Liu, Jiaxuan Xie, Yanning Shen:
DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation. IJCAI 2025: 3135-3143 - [c12]Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Yezi Liu, Tamoghno Das, Mohsen Imani:
LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation. ACM Multimedia 2025: 3932-3941 - [c11]Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani:
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. WACV 2025: 5239-5249 - [c10]Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani:
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. WACV 2025: 9353-9363 - [c9]Yezi Liu, Wenjun Huang, Yang Ni, Hanning Chen, Mohsen Imani:
White Admitted by Stanford, Black Got Rejections: Exploring Racial Stereotypes in Text-to-Image Generation from a College Admissions Lens. WWW (Companion Volume) 2025: 1138-1142 - [c8]Yezi Liu, Yanning Shen:
Beyond Node Condensation: Learning Tiny Graphs via Joint Graph Condensation. WWW (Companion Volume) 2025: 1143-1147 - [i15]Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Yezi Liu, Tamoghno Das, Mohsen Imani:
LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation. CoRR abs/2504.10854 (2025) - [i14]Yezi Liu, Prathyush Poduval, Wenjun Huang, Yang Ni, Hanning Chen, Mohsen Imani:
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing. CoRR abs/2505.09702 (2025) - [i13]Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani:
Recover-to-Forget: Gradient Reconstruction from LoRA for Efficient LLM Unlearning. CoRR abs/2512.07374 (2025) - [i12]Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani:
LUNE: Efficient LLM Unlearning via LoRA Fine-Tuning with Negative Examples. CoRR abs/2512.07375 (2025) - [i11]Yezi Liu, William Youngwoo Chung, Yang Ni, Hanning Chen, Mohsen Imani:
Mitigating Bias in Graph Hyperdimensional Computing. CoRR abs/2512.07433 (2025) - [i10]Yezi Liu, William Youngwoo Chung, Hanning Chen, Calvin Yeung, Mohsen Imani:
Are Hypervectors Enough? Single-Call LLM Reasoning over Knowledge Graphs. CoRR abs/2512.09369 (2025) - [i9]Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani:
Cauchy-Schwarz Fairness Regularizer. CoRR abs/2512.09467 (2025) - 2024
- [j2]Yezi Liu, Hanning Chen, Mohsen Imani:
Promoting fairness in link prediction with graph enhancement. Frontiers Big Data 7 (2024) - [c7]Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Yezi Liu, Fei Wen, Alvaro Velasquez, Hugo Latapie, Mohsen Imani:
TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection. ECCV Workshops (20) 2024: 401-418 - [c6]Yezi Liu, Yanning Shen:
TinyData: Joint Dataset Condensation with Dimensionality Reduction. EUSIPCO 2024: 2037-2041 - [i8]Yezi Liu, Yanning Shen:
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks. CoRR abs/2407.08064 (2024) - [i7]Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani:
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. CoRR abs/2409.02715 (2024) - [i6]Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani:
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. CoRR abs/2409.08464 (2024) - [i5]Yezi Liu, Hanning Chen, Mohsen Imani:
Promoting Fairness in Link Prediction with Graph Enhancement. CoRR abs/2409.08658 (2024) - [i4]Divya Anand Sinha, Yezi Liu, Ruijie Du, Yanning Shen:
Gradient Inversion Attack on Graph Neural Networks. CoRR abs/2411.19440 (2024) - [i3]Wenjun Huang, Yang Ni, Hanning Chen, Yirui He, Ian Bryant, Yezi Liu, Mohsen Imani:
Tell Me What to Track: Infusing Robust Language Guidance for Enhanced Referring Multi-Object Tracking. CoRR abs/2412.12561 (2024) - 2023
- [c5]Yezi Liu:
FairGraph: Automated Graph Debiasing with Gradient Matching. CIKM 2023: 4135-4139 - [c4]Yezi Liu, Qinggang Zhang, Mengnan Du, Xiao Huang, Xia Hu:
Error Detection on Knowledge Graphs with Triple Embedding. EUSIPCO 2023: 1604-1608 - 2022
- [c3]Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman III, Xia Hu, James Caverlee:
RES: An Interpretable Replicability Estimation System for Research Publications. AAAI 2022: 13230-13232 - [c2]Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu:
Contrastive Knowledge Graph Error Detection. CIKM 2022: 2590-2599 - [i2]Jiaxuan Xie, Yezi Liu, Yanning Shen:
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation. CoRR abs/2207.11175 (2022) - [i1]Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu:
Contrastive Knowledge Graph Error Detection. CoRR abs/2211.10030 (2022)
2010 – 2019
- 2018
- [c1]Yezi Liu:
Semi-supervised Multi-label Dimensionality Reduction via Low Rank Representation. ICONIP (3) 2018: 625-637 - 2017
- [j1]Qiaoyu Tan, Yezi Liu, Xia Chen, Guoxian Yu:
Multi-Label Classification Based on Low Rank Representation for Image Annotation. Remote. Sens. 9(2): 109 (2017)
Coauthor Index
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