| 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 | 212 | 2020 |
| Optimal sparse decision trees X Hu, C Rudin, M Seltzer Advances in Neural Information Processing Systems, 2019 | 168 | 2019 |
| 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 | 122 | 2022 |
| ADBench: Anomaly Detection Benchmark X Hu, S Han, H Huang, M Jiang, Y Zhao Advances in Neural Information Processing Systems, 2022 | 100 | 2022 |
| 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 | 58* | 2021 |
| 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 | 24 | 2022 |
| 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 | 16 | 2022 |
| 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 | 10 | 2022 |
| Uncovering the Source of Evaluation Bias in Micro-Lending X Hu, Y Huang, B Li, T Lu International Conference on Information Systems, 2021 | 10 | 2021 |
| 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 | 9 | 2023 |
| Uncovering the source of machine bias X Hu, Y Huang, B Li, T Lu arXiv preprint arXiv:2201.03092, 2022 | 7 | 2022 |
| IEEE International Conference on Data Mining (ICDM) Z Li, Y Zhao, N Botta, C Ionescu, X Hu IEEE, 2020 | 5 | 2020 |
| 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 | 3 | 2022 |
| Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation X Hu, Y Huang, B Li, T Lu arXiv preprint arXiv:2305.05827, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
| Inclusive Decision Making via Contrastive Learning and Domain Adaptation X Hu, Y Huang, B Li, T Lu Available at SSRN 4496106, 2023 | | 2023 |
| Human-Algorithmic Bias: Source, Evolution, and Impact X Hu, Y Huang, B Li, T Lu Available at SSRN: https://ssrn.com/abstract=4195014, 2022 | | 2022 |
George H. ChenAssistant Professor, Carnegie Mellon UniversityVerified email at cmu.edu
