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Xiyang Hu
Title
Cited by
Cited by
Year
Optimal sparse decision trees
X Hu, C Rudin, M Seltzer
Advances in Neural Information Processing Systems, 2019
982019
COPOD: copula-based outlier detection
Z Li, Y Zhao, N Botta, C Ionescu, X Hu
2020 IEEE International Conference on Data Mining (ICDM), 1118-1123, 2020
912020
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection
Y Zhao, X Hu, C Cheng, C Wang, C Wan, W Wang, J Yang, H Bai, Z Li, ...
Conference on Machine Learning and Systems, 2021
27*2021
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions
Z Li, Y Zhao, X Hu, N Botta, C Ionescu, GH Chen
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
122022
Uncovering the source of machine bias
X Hu, Y Huang, B Li, T Lu
arXiv preprint arXiv:2201.03092, 2022
32022
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
22022
Benchmarking Node Outlier Detection on Graphs
K Liu, Y Dou, Y Zhao, X Ding, X Hu, R Zhang, K Ding, C Chen, H Peng, ...
arXiv preprint arXiv:2206.10071, 2022
2022
ADBench: Anomaly Detection Benchmark
S Han, X Hu, H Huang, M Jiang, Y Zhao
arXiv preprint arXiv:2206.09426, 2022
2022
Uncovering the Source of Evaluation Bias in Micro-Lending
X Hu, Y Huang, B Li, T Lu
International Conference on Information Systems, 2021
2021
重访光辉城市
詹旭强, 张嘉琦, 胡曦阳
建筑创作 4, 2015
2015
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