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 35, 27021-27035, 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 |
Combining machine learning models using Combo library Y Zhao, X Wang, C Cheng, X Ding Proceedings of the AAAI Conference on Artificial Intelligence 34 (09), 13648 …, 2020 | 14 | 2020 |
Hyperparameter sensitivity in deep outlier detection: Analysis and a scalable hyper-ensemble solution X Ding, L Zhao, L Akoglu Thirty-sixth Conference on Neural Information Processing Systems, 2022 | 13 | 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 |
SUOD: toward scalable unsupervised outlier detection Y Zhao, X Ding, J Yang, H Bai arXiv preprint arXiv:2002.03222, 2020 | 8 | 2020 |
Physics Informed Machine Learning with Misspecified Priors:\\An analysis of Turning Operation in Lathe Machines Z Zhao, X Ding, G Atulya, A Davis, A Singh AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM), 2021 | 1 | 2021 |
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks LZ Zhao, X Ding, BA Prakash arXiv preprint arXiv:2307.11833, 2023 | | 2023 |
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks X Ding, Y Zhao, L Akoglu arXiv preprint arXiv:2307.10529, 2023 | | 2023 |
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks L Zhiyuan Zhao, X Ding, B Aditya Prakash arXiv e-prints, arXiv: 2307.11833, 2023 | | 2023 |
From Explanation to Action: An End-to-End Human-in-the-loop Framework for Anomaly Reasoning and Management X Ding, N Seleznev, S Kumar, CB Bruss, L Akoglu arXiv preprint arXiv:2304.03368, 2023 | | 2023 |