Xuhui Fan

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 56

Top Topics

Belief Networks

Variational Inference

Relational Models

Gaussian Process

Top Venues

Publications

Jing Wang, Yibo Wang, Yuchu Jin, Cheng Guo, Xuhui Fan
ST-PixLoc: A Scene-Agnostic Network for Enhanced Camera Localization. IEEE Access 12 (2024)
Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes. CoRR (2024)
Longbing Cao, Hui Chen, Xuhui Fan, Joao Gama, Yew-Soon Ong, Vipin Kumar
Bayesian Federated Learning: A Survey. CoRR (2023)
Yanyan Zhao, Qiong Li, Xuhui Fan, Lili Su, Jingtao Li, Xiaokang Liu
Teaching Method of Advanced Mathematics Combining PAD Classroom with ADDIE Model. EIDWT (2023)
Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
Hawkes Processes With Stochastic Exogenous Effects for Continuous-Time Interaction Modelling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Xuhui Fan, Yanhong Xu, Hing-Cheung So, James Kweku Nkrumah Nyarko, Jingshan Jia
Sum and difference patterns synthesis with common excitation amplitude. Digit. Signal Process. 143 (2023)
Xuhui Fan, Edwin V. Bonilla, Terence J. O'Kane, Scott A. Sisson
Free-Form Variational Inference for Gaussian Process State-Space Models. ICML (2023)
Xuhui Fan, Edwin V. Bonilla, Terence J. O'Kane, Scott A. Sisson
Free-Form Variational Inference for Gaussian Process State-Space Models. CoRR (2023)
Ling Luo, Bin Li, Xuhui Fan, Yang Wang, Irena Koprinska, Fang Chen
Dynamic customer segmentation via hierarchical fragmentation-coagulation processes. Mach. Learn. 112 (1) (2023)
Yang Jing, Xuhui Fan, Jian Li, Hing Cheung So, Chi-Sing Leung
Phase retrieval via Lagrange programming neural network. Digit. Signal Process. 143 (2023)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
Smoothing graphons for modelling exchangeable relational data. Mach. Learn. 111 (1) (2022)
Yaqiong Li, Xuhui Fan, Éric Gaussier
Supervised Categorical Metric Learning With Schatten p-Norms. IEEE Trans. Cybern. 52 (4) (2022)
Yang Jing, Junli Liang, Sergiy A. Vorobyov, Xuhui Fan, Deyun Zhou
Efficient joint transmit waveform and receive filter design based on a general Lp-norm metric for sidelobe level of pulse compression. Signal Process. 188 (2021)
Wen Fan, Junli Liang, Xuhui Fan, Hing Cheung So
A unified sparse array design framework for beampattern synthesis. Signal Process. 182 (2021)
Wen Fan, Junli Liang, Guangshan Lu, Xuhui Fan, Hing Cheung So
Spectrally-Agile Waveform Design for Wideband MIMO Radar Transmit Beampattern Synthesis via Majorization-ADMM. IEEE Trans. Signal Process. 69 (2021)
Xuhui Fan, Bin Li, Feng Zhou, Scott A. Sisson
Continuous-time edge modelling using non-parametric point processes. NeurIPS (2021)
Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Kerrie L. Mengersen
Kernelized Sparse Bayesian Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Feng Zhou, Simon Luo, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
Efficient EM-variational inference for nonparametric Hawkes process. Stat. Comput. 31 (4) (2021)
Xuhui Fan, Bin Li, Yaqiong Li, Scott A. Sisson
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks. ICML (2021)
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson
Bayesian Nonparametric Space Partitions: A Survey. IJCAI (2021)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
Decoupling Sparsity and Smoothness in Dirichlet Belief Networks. ECML/PKDD (2) (2021)
Xiang Ma, Xuhui Fan, Wei Li, Jiangtao Li, Qiong Li
The Exploration and Research of Blended Teaching Mode Based on "Internet+" Big Data Cloud Platform. IMIS (2020)
Yang Jing, Junli Liang, Sergiy A. Vorobyov, Xuhui Fan, Deyun Zhou
Joint Design of Radar Transmit Waveform and Mismatched Filter with Low Sidelobes. EUSIPCO (2020)
Yang Li, Honglei Jia, Jiangtao Qi, Huibin Sun, Xinliang Tian, Huili Liu, Xuhui Fan
An Acquisition Method of Agricultural Equipment Roll Angle Based on Multi-Source Information Fusion. Sensors 20 (7) (2020)
Xuhui Fan, Bin Li, Scott A. Sisson
Online Binary Space Partitioning Forests. CoRR (2020)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling. CoRR (2020)
Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
Smoothing Graphons for Modelling Exchangeable Relational Data. CoRR (2020)
Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Z. Reformat
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel. AAAI (2020)
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson
Bayesian Nonparametric Space Partitions: A Survey. CoRR (2020)
Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Reformat
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel. CoRR (2020)
Xuhui Fan, Éric Gaussier
Supervised Categorical Metric Learning with Schatten p-Norms. CoRR (2020)
Xuhui Fan, Bin Li, Scott A. Sisson
Online Binary Space Partitioning Forests. AISTATS (2020)
Xuhui Fan, Wei Li, Zhimin Wang, Yiyue Sun, Lili Su
The Analysis of Higher Mathematics Teaching Strategy Based on the Innovative Teaching Mode. IMIS (2020)
Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
Fast multi-resolution segmentation for nonstationary Hawkes process using cumulants. Int. J. Data Sci. Anal. 10 (4) (2020)
Caoyuan Li, Hong-Bo Xie, Kerrie L. Mengersen, Xuhui Fan, Richard Yi Da Xu, Scott A. Sisson, Sabine Van Huffel
Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures. IEEE Trans. Signal Process. 68 (2020)
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)
Xuhui Fan, Bin Li, Scott A. Sisson
Binary Space Partitioning Forest. AISTATS (2019)
Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Scott A. Sisson, Kerrie L. Mengersen
Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator. IEEE Trans. Image Process. 28 (10) (2019)
Xuhui Fan, Bin Li, Caoyuan Li, Scott Sisson, Ling Chen
Scalable Deep Generative Relational Model with High-Order Node Dependence. NeurIPS (2019)
Feng Zhou, Yixuan Zhang, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
Hawkes Process with Stochastic Triggering Kernel. PAKDD (1) (2019)
Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation. CoRR (2019)
Xuhui Fan, Bin Li, Scott Anthony Sisson
Binary Space Partitioning Forests. CoRR (2019)
Xuhui Fan, Bin Li, Scott Anthony Sisson
Rectangular Bounding Process. CoRR (2019)
Xuhui Fan, Bin Li, Scott Anthony Sisson
The Binary Space Partitioning-Tree Process. CoRR (2019)
Xuhui Fan, Bin Li, Scott Anthony Sisson, Caoyuan Li, Ling Chen
Scalable Deep Generative Relational Models with High-Order Node Dependence. CoRR (2019)
Jianjia Zhang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen
Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study. PAKDD (1) (2018)
Xuhui Fan, Bin Li, Scott Sisson
The Binary Space Partitioning-Tree Process. AISTATS (2018)
Xuhui Fan, Bin Li, Scott Sisson
Rectangular Bounding Process. NeurIPS (2018)
Xuhui Fan, Junli Liang, Hing Cheung So
Beampattern synthesis with minimal dynamic range ratio. Signal Process. 152 (2018)
Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
A Refined MISD Algorithm Based on Gaussian Process Regression. PAKDD (2) (2018)
Xuhui Fan, Richard Yi Da Xu, Longbing Cao, Yin Song
Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network. IEEE Trans. Cybern. 47 (3) (2017)
Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen
The Ostomachion Process. AAAI (2016)
Yi Wang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen
Bayesian Optimization of Partition Layouts for Mondrian Processes. IJCAI (2016)
Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen
Stochastic Patching Process. CoRR (2016)
Xuhui Fan, Jie Zhang, Dengke Ban
分段光滑的半监督支持向量分类机 (Piecewise Smooth Semi-supervised Support Vector Machine for Classification). 计算机科学 43 (6) (2016)
Xuhui Fan, Richard Yi Da Xu, Longbing Cao
Copula Mixed-Membership Stochastic Blockmodel. IJCAI (2016)
Xuhui Fan, Longbing Cao
A convergence theorem for graph shift-type algorithms. Pattern Recognit. 48 (8) (2015)
Xuhui Fan, Longbing Cao, Richard Yi Da Xu
Dynamic Infinite Mixed-Membership Stochastic Blockmodel. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Xuhui Fan, Longbing Cao, Richard Yi Da Xu
Dynamic Infinite Mixed-Membership Stochastic Blockmodel. CoRR (2013)
Xuhui Fan, Yiling Zeng, Longbing Cao
Non-parametric Power-law Data Clustering. CoRR (2013)
Xuhui Fan, Longbing Cao
A Convergence Theorem for the Graph Shift-type Algorithms. CoRR (2013)
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 (2013)
Yin Song, Longbing Cao, Xuhui Fan, Wei Cao, Jian Zhang
Characterizing A Database of Sequential Behaviors with Latent Dirichlet Hidden Markov Models CoRR (2013)
Xuhui Fan, Longbing Cao, Richard Yi Da Xu
Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations. CoRR (2013)
Xuhui Fan, Longbing Cao
A Theoretical Framework of the Graph Shift Algorithm. AAAI (2012)
Xuhui Fan, Lin Zhu, Longbing Cao, Xia Cui, Yew-Soon Ong
Maximum margin clustering on evolutionary data. CIKM (2012)
Wei Wei, Xuhui Fan, Jinyan Li, Longbing Cao
Model the complex dependence structures of financial variables by using canonical vine. CIKM (2012)