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Xueying Ding
Xueying Ding
Ph.D. Student, Heinz College, Carnegie Mellon University
Verified email at andrew.cmu.edu
Title
Cited by
Cited by
Year
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
242022
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
162022
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
142020
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
132022
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
102022
SUOD: toward scalable unsupervised outlier detection
Y Zhao, X Ding, J Yang, H Bai
arXiv preprint arXiv:2002.03222, 2020
82020
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
12021
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
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