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Kay Liu
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 8
Top Topics
Distance Based Outlier Detection
Conformal Prediction
Outlier Detection
Top Venues
CoRR
NeurIPS
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Publications
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Wenjing Chang
,
Kay Liu
,
Kaize Ding
,
Philip S. Yu
,
Jianjun Yu
Multitask Active Learning for Graph Anomaly Detection.
CoRR
(2024)
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
(2024)
Fangxin Wang
,
Lu Cheng
,
Ruocheng Guo
,
Kay Liu
,
Philip S. Yu
Equal Opportunity of Coverage in Fair Regression.
CoRR
(2023)
Fangxin Wang
,
Lu Cheng
,
Ruocheng Guo
,
Kay Liu
,
Philip S. Yu
Equal Opportunity of Coverage in Fair Regression.
NeurIPS
(2023)
Kay Liu
,
Hengrui Zhang
,
Ziqing Hu
,
Fangxin Wang
,
Philip S. Yu
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models.
CoRR
(2023)
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)
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
Benchmarking Node Outlier Detection on Graphs.
CoRR
(2022)
Kay Liu
,
Yingtong Dou
,
Yue Zhao
,
Xueying Ding
,
Xiyang Hu
,
Ruitong Zhang
,
Kaize Ding
,
Canyu Chen
,
Hao Peng
,
Kai Shu
,
George H. Chen
,
Zhihao Jia
,
Philip S. Yu
PyGOD: A Python Library for Graph Outlier Detection.
CoRR
(2022)