Fan, Xuhui

25 publications

AAAI 2025 Dynamic Spectral Graph Anomaly Detection Jianbo Zheng, Chao Yang, Tairui Zhang, Longbing Cao, Bin Jiang, Xuhui Fan, Xiao-Ming Wu, Xianxun Zhu

AAAI 2025 Navigating Towards Fairness with Data Selection Yixuan Zhang, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan, Feng Zhou

NeurIPS 2025 SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories Zhangkai Wu, Xuhui Fan, Hongyu Wu, Longbing Cao

ICML 2024 Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation Yididiya Y. Nadew, Xuhui Fan, Christopher John Quinn

NeurIPS 2024 Nonstationary Sparse Spectral Permanental Process Zicheng Sun, Yixuan Zhang, Zenan Ling, Xuhui Fan, Feng Zhou

NeurIPS 2024 Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data Zhilin Zhao, Longbing Cao, Xuhui Fan, Wei-Shi Zheng

MLJ 2023 Dynamic Customer Segmentation via Hierarchical Fragmentation-Coagulation Processes Ling Luo, Bin Li, Xuhui Fan, Yang Wang, Irena Koprinska, Fang Chen

ICML 2023 Free-Form Variational Inference for Gaussian Process State-Space Models Xuhui Fan, Edwin V. Bonilla, Terence O’Kane, Scott A Sisson

MLJ 2022 Smoothing Graphons for Modelling Exchangeable Relational Data Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson

IJCAI 2021 Bayesian Nonparametric Space Partitions: A Survey Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson

NeurIPS 2021 Continuous-Time Edge Modelling Using Non-Parametric Point Processes Xuhui Fan, Bin Li, Feng Zhou, Scott SIsson

ECML-PKDD 2021 Decoupling Sparsity and Smoothness in Dirichlet Belief Networks Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson

ICML 2021 Poisson-Randomised DirBN: Large Mutation Is Needed in Dirichlet Belief Networks Xuhui Fan, Bin Li, Yaqiong Li, Scott A. Sisson

JMLR 2020 Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen

AAAI 2020 Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Z. Reformat

AISTATS 2020 Online Binary Space Partitioning Forests Xuhui Fan, Bin Li, Scott SIsson

IJCAI 2020 Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson

AISTATS 2019 Binary Space Partitioning Forest Xuhui Fan, Bin Li, Scott SIsson

NeurIPS 2019 Scalable Deep Generative Relational Model with High-Order Node Dependence Xuhui Fan, Bin Li, Caoyuan Li, Scott SIsson, Ling Chen

NeurIPS 2018 Rectangular Bounding Process Xuhui Fan, Bin Li, Scott SIsson

AISTATS 2018 The Binary Space Partitioning-Tree Process Xuhui Fan, Bin Li, Scott A. Sisson

IJCAI 2016 Bayesian Optimization of Partition Layouts for Mondrian Processes Yi Wang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen

IJCAI 2016 Copula Mixed-Membership Stochastic Blockmodel Xuhui Fan, Richard Yi Da Xu, Longbing Cao

AAAI 2016 The Ostomachion Process Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen

AAAI 2012 A Theoretical Framework of the Graph Shift Algorithm Xuhui Fan, Longbing Cao