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Xuhui Fan 0001
Person information
- affiliation: Macquarie University, Sydney, NSW, Australia
- affiliation (former): University of Newcastle, Australia
- affiliation (former): University of New South Wales, Sydney, NSW, Australia
- affiliation (former): NICTA, Data61, Australia
- affiliation (PhD 2015): University of Technology Sydney, NSW, Australia
Other persons with the same name
- Xuhui Fan 0002
— Xi'an University of Science and Technology, China (and 1 more)
- Xuhui Fan 0003 — Engineering University of PAP, Foundation Department, Xi'an, China
- Xuhui Fan 0004 — Agricultural Machinery Research Institute of Jilin Province, Changchun, China
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2020 – today
- 2024
- [c23]Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou:
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes. ECAI 2024: 810-817 - [c22]Yididiya Y. Nadew, Xuhui Fan, Christopher John Quinn:
Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation. ICML 2024 - [i25]Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao:
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification. CoRR abs/2404.15657 (2024) - [i24]Yididiya Y. Nadew, Xuhui Fan, Christopher J. Quinn:
Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation. CoRR abs/2405.11683 (2024) - [i23]Zhangkai Wu, Xuhui Fan, Jin Li, Zhilin Zhao, Hui Chen, Longbing Cao:
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks. CoRR abs/2405.15268 (2024) - [i22]Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou:
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes. CoRR abs/2407.16161 (2024) - [i21]Hui Chen, Hengyu Liu, Yaqiong Li, Xuhui Fan, Zhilin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao:
Federated Neural Nonparametric Point Processes. CoRR abs/2410.05637 (2024) - 2023
- [j12]Ling Luo
Dynamic customer segmentation via hierarchical fragmentation-coagulation processes. Mach. Learn. 112(1): 281-310 (2023) - [j11]Xuhui Fan
Hawkes Processes With Stochastic Exogenous Effects for Continuous-Time Interaction Modelling. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1848-1861 (2023) - [c21]Xuhui Fan, Edwin V. Bonilla, Terence J. O'Kane, Scott A. Sisson:
Free-Form Variational Inference for Gaussian Process State-Space Models. ICML 2023: 9603-9622 - [i20]Xuhui Fan, Edwin V. Bonilla, Terence J. O'Kane, Scott A. Sisson:
Free-Form Variational Inference for Gaussian Process State-Space Models. CoRR abs/2302.09921 (2023) - [i19]Longbing Cao, Hui Chen, Xuhui Fan, João Gama, Yew-Soon Ong, Vipin Kumar:
Bayesian Federated Learning: A Survey. CoRR abs/2304.13267 (2023) - 2022
- [j10]Yaqiong Li, Xuhui Fan
Smoothing graphons for modelling exchangeable relational data. Mach. Learn. 111(1): 319-344 (2022) - [j9]Yaqiong Li, Xuhui Fan
Supervised Categorical Metric Learning With Schatten p-Norms. IEEE Trans. Cybern. 52(4): 2059-2069 (2022) - 2021
- [j8]Feng Zhou, Simon Luo
Efficient EM-variational inference for nonparametric Hawkes process. Stat. Comput. 31(4): 46 (2021) - [j7]Caoyuan Li
Kernelized Sparse Bayesian Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 32(1): 391-404 (2021) - [c20]Xuhui Fan, Bin Li, Yaqiong Li, Scott A. Sisson:
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks. ICML 2021: 3068-3077 - [c19]Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson:
Bayesian Nonparametric Space Partitions: A Survey. IJCAI 2021: 4408-4415 - [c18]Xuhui Fan, Bin Li, Feng Zhou, Scott A. Sisson:
Continuous-time edge modelling using non-parametric point processes. NeurIPS 2021: 2319-2330 - [c17]Yaqiong Li, Xuhui Fan
Decoupling Sparsity and Smoothness in Dirichlet Belief Networks. ECML/PKDD (2) 2021: 148-163 - 2020
- [j6]Feng Zhou
Fast multi-resolution segmentation for nonstationary Hawkes process using cumulants. Int. J. Data Sci. Anal. 10(4): 321-330 (2020) - [j5]Caoyuan Li, Hong-Bo Xie
Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures. IEEE Trans. Signal Process. 68: 3860-3870 (2020) - [c16]Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Z. Reformat:
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel. AAAI 2020: 6704-6711 - [c15]Xuhui Fan, Bin Li, Scott A. Sisson:
Online Binary Space Partitioning Forests. AISTATS 2020: 527-537 - [c14]Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson:
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling. IJCAI 2020: 2470-2476 - [i18]Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Z. Reformat:
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel. CoRR abs/2002.00901 (2020) - [i17]Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson:
Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling. CoRR abs/2002.10235 (2020) - [i16]Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson:
Smoothing Graphons for Modelling Exchangeable Relational Data. CoRR abs/2002.11159 (2020) - [i15]Xuhui Fan, Éric Gaussier:
Supervised Categorical Metric Learning with Schatten p-Norms. CoRR abs/2002.11246 (2020) - [i14]Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson:
Bayesian Nonparametric Space Partitions: A Survey. CoRR abs/2002.11394 (2020) - [i13]Xuhui Fan, Bin Li, Scott A. Sisson:
Online Binary Space Partitioning Forests. CoRR abs/2003.00269 (2020)
2010 – 2019
- 2019
- [j4]Caoyuan Li
Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator. IEEE Trans. Image Process. 28(10): 4899-4911 (2019) - [c13]Xuhui Fan, Bin Li, Scott A. Sisson:
Binary Space Partitioning Forest. AISTATS 2019: 3022-3031 - [c12]Xuhui Fan, Bin Li, Caoyuan Li, Scott A. Sisson, Ling Chen
Scalable Deep Generative Relational Model with High-Order Node Dependence. NeurIPS 2019: 12637-12647 - [c11]Feng Zhou, Yixuan Zhang, Zhidong Li
Hawkes Process with Stochastic Triggering Kernel. PAKDD (1) 2019: 319-330 - [i12]Xuhui Fan, Bin Li, Scott Anthony Sisson:
Rectangular Bounding Process. CoRR abs/1903.03906 (2019) - [i11]Xuhui Fan, Bin Li, Scott Anthony Sisson:
The Binary Space Partitioning-Tree Process. CoRR abs/1903.09343 (2019) - [i10]Xuhui Fan, Bin Li, Scott Anthony Sisson:
Binary Space Partitioning Forests. CoRR abs/1903.09348 (2019) - [i9]Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen:
Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation. CoRR abs/1910.13052 (2019) - [i8]Xuhui Fan, Bin Li, Scott Anthony Sisson, Caoyuan Li, Ling Chen:
Scalable Deep Generative Relational Models with High-Order Node Dependence. CoRR abs/1911.01535 (2019) - 2018
- [c10]Xuhui Fan, Bin Li, Scott A. Sisson:
The Binary Space Partitioning-Tree Process. AISTATS 2018: 1859-1867 - [c9]Xuhui Fan, Bin Li, Scott A. Sisson:
Rectangular Bounding Process. NeurIPS 2018: 7631-7641 - [c8]Jianjia Zhang, Bin Li, Xuhui Fan
Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study. PAKDD (1) 2018: 223-235 - [c7]Feng Zhou, Zhidong Li
A Refined MISD Algorithm Based on Gaussian Process Regression. PAKDD (2) 2018: 584-596 - 2017
- [j3]Xuhui Fan
Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network. IEEE Trans. Cybern. 47(3): 589-599 (2017) - 2016
- [c6]Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen:
The Ostomachion Process. AAAI 2016: 1547-1553 - [c5]Xuhui Fan, Richard Yi Da Xu, Longbing Cao:
Copula Mixed-Membership Stochastic Blockmodel. IJCAI 2016: 1462-1468 - [c4]Yi Wang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen:
Bayesian Optimization of Partition Layouts for Mondrian Processes. IJCAI 2016: 2160-2166 - [i7]Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen:
Stochastic Patching Process. CoRR abs/1605.06886 (2016) - 2015
- [b1]Xuhui Fan:
Nonparametric Bayesian models for learning network coupling relationships. University of Technology Sydney, Australia, 2015 - [j2]Xuhui Fan
A convergence theorem for graph shift-type algorithms. Pattern Recognit. 48(8): 2751-2760 (2015) - [j1]Xuhui Fan
Dynamic Infinite Mixed-Membership Stochastic Blockmodel. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2072-2085 (2015) - 2013
- [i6]Yin Song, Longbing Cao, Xuhui Fan, Wei Cao, Jian Zhang:
Characterizing A Database of Sequential Behaviors with Latent Dirichlet Hidden Markov Models. CoRR abs/1305.5734 (2013) - [i5]Xuhui Fan, Longbing Cao, Richard Yi Da Xu:
Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations. CoRR abs/1306.2733 (2013) - [i4]Xuhui Fan, Longbing Cao, Richard Yi Da Xu:
Dynamic Infinite Mixed-Membership Stochastic Blockmodel. CoRR abs/1306.2999 (2013) - [i3]Xuhui Fan, Longbing Cao:
A Convergence Theorem for the Graph Shift-type Algorithms. CoRR abs/1306.3002 (2013) - [i2]Xuhui Fan, Yiling Zeng, Longbing Cao:
Non-parametric Power-law Data Clustering. CoRR abs/1306.3003 (2013) - [i1]Xuhui Fan, Richard Yi Da Xu, Longbing Cao, Yin Song:
Learning Hidden Structures with Relational Models by Adequately Involving Rich Information in A Network. CoRR abs/1310.1545 (2013) - 2012
- [c3]Xuhui Fan, Longbing Cao:
A Theoretical Framework of the Graph Shift Algorithm. AAAI 2012: 2419-2420 - [c2]Xuhui Fan
Maximum margin clustering on evolutionary data. CIKM 2012: 625-634 - [c1]Wei Wei, Xuhui Fan
Model the complex dependence structures of financial variables by using canonical vine. CIKM 2012: 1382-1391
Coauthor Index
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