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Kay Liu
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Year
Network Schema Preserving Heterogeneous Information Network Embedding
J Zhao, X Wang, C Shi, Z Liu, Y Ye
International Joint Conference on Artificial Intelligence (IJCAI), 2020
932020
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
K Liu, Y Dou, Y Zhao, X Ding, X Hu, R Zhang, K Ding, C Chen, H Peng, ...
Advances in Neural Information Processing Systems 35, 27021-27035, 2022
62*2022
Pygod: A Python Library for Graph Outlier Detection
K Liu, Y Dou, Y Zhao, X Ding, X Hu, R Zhang, K Ding, C Chen, H Peng, ...
arXiv preprint arXiv:2204.12095, 2022
302022
Equal Opportunity of Coverage in Fair Regression
F Wang, L Cheng, R Guo, K Liu, PS Yu
arXiv preprint arXiv:2311.02243, 2023
52023
Uncertainty in Graph Neural Networks: A Survey
F Wang, Y Liu, K Liu, Y Wang, S Medya, PS Yu
arXiv preprint arXiv:2403.07185, 2024
2024
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks
Q Ma, H Chi, H Zhang, K Liu, Z Zhang, L Cheng, S Wang, PS Yu, Y Ma
arXiv preprint arXiv:2402.15680, 2024
2024
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction
C Wang, F Wang, R Guo, Y Liang, K Liu, PS Yu
arXiv preprint arXiv:2402.08976, 2024
2024
Multitask Active Learning for Graph Anomaly Detection
W Chang, K Liu, K Ding, PS Yu, J Yu
arXiv preprint arXiv:2401.13210, 2024
2024
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models
K Liu, H Zhang, Z Hu, F Wang, PS Yu
arXiv preprint arXiv:2312.17679, 2023
2023
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Articles 1–9