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Kay Liu
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2020 – today
- 2024
- [j2]Kay Liu, Yingtong Dou, Xueying Ding, Xiyang Hu, Ruitong Zhang, Hao Peng, Lichao Sun, Philip S. Yu:
PyGOD: A Python Library for Graph Outlier Detection. J. Mach. Learn. Res. 25: 141:1-141:9 (2024) - [j1]Xiang Huang
, Hao Peng
CoSENT: Consistent Sentence Embedding via Similarity Ranking. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2800-2813 (2024) - [i12]Wenjing Chang, Kay Liu
Multitask Active Learning for Graph Anomaly Detection. CoRR abs/2401.13210 (2024) - [i11]Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Kay Liu, Philip S. Yu:
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction. CoRR abs/2402.08976 (2024) - [i10]Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. CoRR abs/2402.15680 (2024) - [i9]Fangxin Wang, Yuqing Liu, Kay Liu
Uncertainty in Graph Neural Networks: A Survey. CoRR abs/2403.07185 (2024) - [i8]Wenjing Chang, Kay Liu
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement. CoRR abs/2406.00987 (2024) - [i7]Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong:
FedGraph: A Research Library and Benchmark for Federated Graph Learning. CoRR abs/2410.06340 (2024) - [i6]Fangxin Wang, Kay Liu, Sourav Medya, Philip S. Yu:
BANGS: Game-Theoretic Node Selection for Graph Self-Training. CoRR abs/2410.09348 (2024) - [i5]Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Kaize Ding, Yue Zhao:
LEGO-Learn: Label-Efficient Graph Open-Set Learning. CoRR abs/2410.16386 (2024) - 2023
- [c2]Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S. Yu:
Equal Opportunity of Coverage in Fair Regression. NeurIPS 2023 - [i4]Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu
Equal Opportunity of Coverage in Fair Regression. CoRR abs/2311.02243 (2023) - [i3]Kay Liu
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models. CoRR abs/2312.17679 (2023) - 2022
- [c1]Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu:
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. NeurIPS 2022 - [i2]Kay Liu
PyGOD: A Python Library for Graph Outlier Detection. CoRR abs/2204.12095 (2022) - [i1]Kay Liu
Benchmarking Node Outlier Detection on Graphs. CoRR abs/2206.10071 (2022)
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