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Xiyang Hu
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Cited by
Year
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
4262020
ADBench: Anomaly Detection Benchmark
X Hu, S Han, H Huang, M Jiang, Y Zhao
Advances in Neural Information Processing Systems, 2022
3792022
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
3422022
Optimal sparse decision trees
X Hu, C Rudin, M Seltzer
Advances in Neural Information Processing Systems, 2019
2532019
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, 2022
1022022
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection
X Hu, Y Zhao, C Cheng, C Wang, C Wan, W Wang, J Yang, H Bai, Z Li, ...
Conference on Machine Learning and Systems, 2021
832021
Pygod: A python library for graph outlier detection
K Liu, Y Dou, X Ding, X Hu, R Zhang, H Peng, L Sun, PS Yu
Journal of Machine Learning Research, 2024
542024
Weakly supervised anomaly detection: A survey
M Jiang, C Hou, A Zheng, X Hu, S Han, H Huang, X He, PS Yu, Y Zhao
arXiv preprint arXiv:2302.04549, 2023
392023
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
162022
Adgym: Design choices for deep anomaly detection
M Jiang, C Hou, A Zheng, S Han, H Huang, Q Wen, X Hu, Y Zhao
Advances in Neural Information Processing Systems 36, 2024
152024
Language agnostic multilingual information retrieval with contrastive learning
X Hu, X Chen, P Qi, D Kong, K Liu, WY Wang, Z Huang
arXiv preprint arXiv:2210.06633, 2022
112022
Uncovering the source of machine bias
X Hu, Y Huang, B Li, T Lu
arXiv preprint arXiv:2201.03092, 2022
92022
Uncovering the Source of Evaluation Bias in Micro-Lending
X Hu, Y Huang, B Li, T Lu
International Conference on Information Systems, 2021
92021
IEEE International Conference on Data Mining (ICDM)
Z Li, Y Zhao, N Botta, C Ionescu, X Hu
IEEE, 2020
82020
Inclusive FinTech lending via contrastive learning and domain adaptation
X Hu, Y Huang, B Li, T Lu
arXiv preprint arXiv:2305.05827, 2023
52023
Human-Algorithmic Bias: Source, Evolution, and Impact
X Hu, Y Huang, B Li, T Lu
Available at SSRN: https://ssrn.com/abstract=4195014, 2022
32022
Credit Risk Modeling without Sensitive Features: An Adversarial Deep Learning Model for Fairness and Profit
X Hu, Y Huang, B Li, T Lu
International Conference on Information Systems, 2022
32022
Political-llm: Large language models in political science
L Li, J Li, C Chen, F Gui, H Yang, C Yu, Z Wang, J Cai, JA Zhou, B Shen, ...
arXiv preprint arXiv:2412.06864, 2024
22024
Ad-llm: Benchmarking large language models for anomaly detection
T Yang, Y Nian, S Li, R Xu, Y Li, J Li, Z Xiao, X Hu, R Rossi, K Ding, X Hu, ...
arXiv preprint arXiv:2412.11142, 2024
12024
NLP-ADBench: NLP Anomaly Detection Benchmark
Y Li, J Li, Z Xiao, T Yang, Y Nian, X Hu, Y Zhao
arXiv preprint arXiv:2412.04784, 2024
12024
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