Ding, Xueying

9 publications

ICLR 2025 MetaOOD: Automatic Selection of OOD Detection Models Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao

JMLR 2025 Unified Discrete Diffusion for Categorical Data Lingxiao Zhao, Xueying Ding, Lijun Yu, Leman Akoglu

ICLR 2024 PINNsFormer: A Transformer-Based Framework for Physics-Informed Neural Networks Zhiyuan Zhao, Xueying Ding, B. Aditya Prakash

NeurIPS 2024 Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation Lingxiao Zhao, Xueying Ding, Leman Akoglu

MLOSS 2024 PyGOD: A Python Library for Graph Outlier Detection Kay Liu, Yingtong Dou, Xueying Ding, Xiyang Hu, Ruitong Zhang, Hao Peng, Lichao Sun, Philip S. Yu

NeurIPS 2022 BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H Chen, Zhihao Jia, Philip S Yu

NeurIPS 2022 Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution Xueying Ding, Lingxiao Zhao, Leman Akoglu

AAAI 2020 Combining Machine Learning Models Using Combo Library Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding

NeurIPSW 2020 Evidential Reasoning with Expert-Guided Machine Learning Xueying Ding, Gopaljee Atulya, Aarti Singh, Alex Davis, Shane Fazzio