Seuraa
Xueying Ding
Xueying Ding
Ph.D. Student, Heinz College, Carnegie Mellon University
Vahvistettu sähköpostiosoite verkkotunnuksessa andrew.cmu.edu
Nimike
Viittaukset
Viittaukset
Vuosi
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
952022
Pygod: A python library for graph outlier detection
K Liu, Y Dou, X Ding, X Hu, R Zhang, H Peng, L Sun, SY Philip
Journal of Machine Learning Research 25 (141), 1-9, 2024
492024
Pinnsformer: A transformer-based framework for physics-informed neural networks
Z Zhao, X Ding, BA Prakash
arXiv preprint arXiv:2307.11833, 2023
272023
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
212022
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
172020
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
152022
Improving and Unifying Discrete&Continuous-time Discrete Denoising Diffusion
L Zhao, X Ding, L Yu, L Akoglu
arXiv preprint arXiv:2402.03701, 2024
62024
From Detection to Action: a Human-in-the-loop Toolkit for Anomaly Reasoning and Management
X Ding, N Seleznev, S Kumar, CB Bruss, L Akoglu
Proceedings of the Fourth ACM International Conference on AI in Finance, 279-287, 2023
4*2023
SUOD: Toward Scalable Unsupervised Outlier Detection
Z Yue, X Ding, J Yang, B Haoping
arXiv preprint arXiv:2002.03222, 2020
4*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), 2022
32022
MetaOOD: Automatic Selection of OOD Detection Models
Y Qin, Y Zhang, Y Nian, X Ding, Y Zhao
arXiv preprint arXiv:2410.03074, 2024
22024
Fast unsupervised deep outlier model selection with hypernetworks
X Ding, Y Zhao, L Akoglu
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
12024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
L Zhao, X Ding, L Akoglu
arXiv preprint arXiv:2402.03687, 2024
12024
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors
X Ding, R Xi, L Akoglu
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 384-395, 2024
2024
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Artikkelit 1–14