| 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 | 161 | 2022 |
| Pinnsformer: A transformer-based framework for physics-informed neural networks Z Zhao, X Ding, BA Prakash arXiv preprint arXiv:2307.11833, 2023 | 115 | 2023 |
| 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 25 (141), 1-9, 2024 | 84 | 2024 |
| Beyond single-turn: A survey on multi-turn interactions with large language models Y Li, X Shen, X Yao, X Ding, Y Miao, R Krishnan, R Padman arXiv preprint arXiv:2504.04717, 2025 | 44 | 2025 |
| 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 | 34 | 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 | 22 | 2020 |
| Improving and unifying discrete&continuous-time discrete denoising diffusion L Zhao, X Ding, L Yu, L Akoglu CoRR, 2024 | 21* | 2024 |
| Pard: Permutation-invariant autoregressive diffusion for graph generation L Zhao, X Ding, L Akoglu Advances in Neural Information Processing Systems 37, 7156-7184, 2024 | 19 | 2024 |
| 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 | 19 | 2022 |
| Metaood: Automatic selection of ood detection models Y Qin, Y Zhang, Y Nian, X Ding, Y Zhao arXiv preprint arXiv:2410.03074, 2024 | 17 | 2024 |
| SUOD: toward scalable unsupervised outlier detection Y Zhao, X Ding, J Yang, H Bai arXiv preprint arXiv:2002.03222, 2020 | 16 | 2020 |
| 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 | 12* | 2023 |
| 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 | 11 | 2024 |
| Firm or fickle? evaluating large language models consistency in sequential interactions Y Li, Y Miao, X Ding, R Krishnan, R Padman arXiv preprint arXiv:2503.22353, 2025 | 7 | 2025 |
| SUOD: Toward Scalable Unsupervised Outlier Detection Z Yue, X Ding, J Yang, B Haoping arXiv preprint arXiv:2002.03222, 2020 | 4* | 2020 |
| DELPHYNE: A Pre-Trained Model for General and Financial Time Series X Ding, A Mittal, A Gopal arXiv preprint arXiv:2506.06288, 2025 | 3 | 2025 |
| 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 | 3 | 2022 |
| Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings X Ding, X Huang, M Ju, L Collins, Y Liu, L Akoglu, N Shah, T Zhao arXiv preprint arXiv:2511.14868, 2025 | 1 | 2025 |
| 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 (1), 384-395, 2024 | | 2024 |
Yue ZhaoAssistant Professor of Computer Science, University of Southern CaliforniaVerified email at usc.edu
