Prati
Yezi Liu
Naslov
Citirano
Citirano
Godina
Contrastive knowledge graph error detection
Q Zhang, J Dong, K Duan, X Huang, Y Liu, L Xu
Proceedings of the 31st ACM international conference on information …, 2022
512022
Multi-label classification based on low rank representation for image annotation
Q Tan, Y Liu, X Chen, G Yu
Remote Sensing 9 (2), 109, 2017
382017
Taskclip: Extend large vision-language model for task oriented object detection
H Chen, W Huang, Y Ni, Y Liu, S Yun, F Wen, H Latapie, M Imani
arXiv preprint arXiv:2403.08108, 2024
192024
Explaining dynamic graph neural networks via relevance back-propagation
J Xie, Y Liu, Y Shen
arXiv preprint arXiv:2207.11175, 2022
142022
FairGraph: Automated Graph Debiasing with Gradient Matching
Y Liu
CIKM '23: Proceedings of the 32nd ACM International Conference on …, 2023
72023
Error detection on knowledge graphs with triple embedding
Y Liu, Q Zhang, M Du, X Huang, X Hu
2023 31st European Signal Processing Conference (EUSIPCO), 1604-1608, 2023
72023
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
Y Liu, Y Shen
https://arxiv.org/pdf/2407.08064, 2024
42024
Error detection in knowledge graphs
Y Liu
42021
Recoverable anonymization for pose estimation: a privacy-enhancing approach
W Huang, Y Ni, A Rezvani, SH Jeong, H Chen, Y Liu, F Wen, M Imani
arXiv preprint arXiv:2409.02715, 2024
22024
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation
H Chen, Y Ni, W Huang, Y Liu, SH Jeong, F Wen, N Bastian, H Latapie, ...
arXiv preprint arXiv:2409.08464, 2024
12024
TinyData: Joint Dataset Condensation with Dimensionality Reduction
Y Liu, Y Shen
2024 32nd European Signal Processing Conference (EUSIPCO), 2024
12024
RES: An Interpretable Replicability Estimation System for Research Publications
Z Wang, Q Feng, M Chatterjee, X Zhao, Y Liu, Y Li, AK Singh, ...
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13230 …, 2022
12022
Semi-supervised multi-label dimensionality reduction via low rank representation
Y Liu
International Conference on Neural Information Processing, 625-637, 2018
12018
Tell Me What to Track: Infusing Robust Language Guidance for Enhanced Referring Multi-Object Tracking
W Huang, Y Ni, H Chen, Y He, I Bryant, Y Liu, M Imani
arXiv preprint arXiv:2412.12561, 2024
2024
Gradient Inversion Attack on Graph Neural Networks
DA Sinha, Y Liu, R Du, Y Shen
arXiv preprint arXiv:2411.19440, 2024
2024
Promoting fairness in link prediction with graph enhancement
Y Liu, H Chen, M Imani
Frontiers in Big Data 7, 1489306, 2024
2024
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