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Kay Liu
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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
1122020
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
77*2022
Pygod: A python library for graph outlier detection
K Liu, Y Dou, X Ding, X Hu, R Zhang, H Peng, L Sun, SY Philip
Journal of Machine Learning Research 25 (141), 1-9, 2024
372024
Equal opportunity of coverage in fair regression
F Wang, L Cheng, R Guo, K Liu, PS Yu
Advances in Neural Information Processing Systems 36, 2024
82024
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
22024
CoSENT: Consistent Sentence Embedding via Similarity Ranking
X Huang, H Peng, D Zou, Z Liu, J Li, K Liu, J Wu, J Su, SY Philip
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024
12024
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
12024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
W Chang, K Liu, PS Yu, J Yu
arXiv preprint arXiv:2406.00987, 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
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 1–11