Publication List (Out of date, see latest in Google Scholar)

Peer Reviewed Conference Papers

1. Xuhui Fan, Bin Li, Feng Zhou, Scott A. Sisson.
   “Continuous-Time Edge Modelling using Non-Parametric Point Processes”.
   The 35th Conference on Neural Information Processing Systems (NeurIPS-21) Code.

2. Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson.
   “Decoupling Sparsity and Smoothness in Dirichlet Belief Networks”.
   The 20th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-21).

3. Xuhui Fan, Bin Li, Yaqiong Li, Scott A. Sisson.
   “Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks”.
   The 38th International Conference on Machine Learning (ICML-21) Code.

4. Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson.
   “Bayesian Nonparametric Space Partitions: A Survey”.
   The 30th International Joint Conference on Artificial Intelligence - Survey Track (IJCAI-21-Survey Track).

5. Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson.
   “Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling”.
   The 29th International Joint Conference on Artificial Intelligence (IJCAI-20) Code.

6. Xuhui Fan, Bin Li, Scott A. Sisson.
   “Online Binary Space Partitioning Forests”.
   The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS-20) Code.

7. Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Reformat.
   “Fragmentation Coagulation Based Mixed-Membership Stochastic Blockmodel”.
   The 34th AAAI Conference on Artificial Intelligence (AAAI-20).

8. Xuhui Fan, Bin Li, Scott A. Sisson, Caoyuan Li, Ling Chen.
   “Scalable Deep Generative Relational Models with High-Order Node Dependence”.
   The 33rd Conference on Neural Information Processing Systems (NeurIPS-19) Code.

9. Xuhui Fan, Bin Li, Scott A. Sisson.
   “Binary Space Partitioning Forests”.
   The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS- 19) Code.

10. Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen.
    “Hawkes Process with Stochastic Triggering Kernel”.
    The 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD- 19).

11. Xuhui Fan, Bin Li, Scott A. Sisson.
    “Rectangular Bounding Process”.
    The 32nd Conference on Neural Information Processing Systems (NeurIPS-18) Code.

12. Xuhui Fan, Bin Li, Scott A. Sisson.
    “The Binary Space Partitioning-Tree process”.
    The 21st International Conference on Artificial Intelligence and Statistics (AISTATS- 18) Code.

13. Jianjia Zhang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen.
    “Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study”.
    The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-18).

14. Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Fang Chen.
    “A Refined MISD Algorithm based on Gaussian Process Regression”.
    The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-18).

15. Xuhui Fan, Richard YiDa Xu, Longbing Cao.
    “Copula Mixed-Membership Stochastic Blockmodel”.
    The 25th International Joint Conference on Artificial Intelligence (IJCAI-16) Code.

16. Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen.
    “The Ostomachion Process”.
    The 30th AAAI Conference on Artificial Intelligence (AAAI-16).

17. Yi Wang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen.
    “Bayesian Optimization of Partition Layouts for Mondrian Processes”.
    The 25th International Joint Conference on Artificial Intelligence (IJCAI-16).

18. Xuhui Fan, Lin Zhu, Longbing Cao, Xia Cui and Yee Soon Ong.
    “Maximum Margin Clustering on Evolutionary Data”.
    The 21th ACM international conference on Information and knowledge management (CIKM-12)

19. Wei Wei, Xuhui Fan, Jinyan Li, Longbing Cao.
    “Model the Complex Dependence Structures of Financial Variables by Using Canonical Vine”.
    The 21th ACM international conference on Information and knowledge management (CIKM-12).

20. Xuhui Fan, Longbing Cao.
    “A theoretical framework of the Graph Shift Algorithm”.
    The 26th AAAI Conference on Artificial Intelligence (AAAI-12).

Peer Reviewed Journal Papers

1. Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson.
   “Hawkes processes with stochastic exogenous effects for continuous-time interaction modelling”.
   IEEE Transaction on Pattern Analysis and Machine Intelligence (T-PAMI). Code

2. Yaqiong Li*, Xuhui Fan*, Ling Chen, Bin Li, Scott A. Sisson.
   “Smoothing Graphons for Modelling Exchangeable Relational Data”.
   Machine Learning.

3. Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen.
   “Efficient EM-Variational Inference for Hawkes Process”
   Statistics and Computing.

4. Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen.
   “Efficient Inference for Nonparametric Hawkes Process Using Polya-Gamma Augmentation”
   Journal of Machine Learning Research (JMLR).

5. Yaqiong Li, Xuhui Fan, Eric Gaussier.
   “Supervised Categorical Metric Learning with Schatten p-Norms”.
   IEEE Transaction on Cybernetics (T-CYB).

6. Caoyuan Li, Hongbo Xie, Xuhui Fan, Richard Yida Xu, Kerrie Mengersen, Scott A. Sisson, Sabine Vanhuffel.
   “Bayesian nonnegative matrix factorization with Dirichlet process mixtures”
   IEEE Transaction on Signal Processing (T-SP).

7. Caoyuan Li, Hongbo Xie, Xuhui Fan, Richard Yida Xu, Kerrie Mengersen, Sabine Vanhuffel.
   “Kernelized Sparse Bayesian Matrix Factorization”.
   IEEE Transaction on Neural Networks and Learning Systems (T-NNLS).

8. Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen.
   “Fast multi-resolution segmentation for nonstationary Hawkes process using cumulants”.
   International Journal Data Science Analysis.

9. Caoyuan Li, Hongbo Xie, Xuhui Fan, Richard Yida Xu, Scott Sisson, Kerrie Mengersen, Sabine Vanhuffel.
   “Image denoising based on nonlocal Bayesian singular value thresholding and Stein’s unbiased risk estimator”
   IEEE Transaction on Image Processing (T-IP).

10. Xuhui Fan, Richard YiDa Xu, Longbing Cao.
    “Learning Relational Models by Efficiently Involving Node-Information in A Network”.
    IEEE Transaction on Cybernetics (T-CYB) Code.

11. Xuhui Fan, Longbing Cao.
    “A Convergence Theorem for the Graph Shift-type Algorithms”.
    Pattern Recognition (PR) Code.

12. Xuhui Fan, Longbing Cao, Richard YiDa Xu.
    “Dynamic Infinite Mixed-Membership Stochastic Blockmodel”.
    IEEE Transaction on Neural Networks and Learning Systems (T-NNLS) Code.

Industrial Papers

1. Bin Liang, Dilusha Weeraddana, Zhidong Li, Shiyang Lu, Xuhui Fan, Yang Wang, Fang Chen, Gagneet Serai, Ivan Beirne.
   “Pipeline failure data analytics and prediction”.
   Australia’s international water conference & exhibition (OZ-Water 2018).

2. Bin Li, Xuhui Fan, Jianjia Zhang, Yang Wang, Fang Chen, Louisa Vorreiter and Dammika Vitanage.
   “Predicative Analytics Toolkit For H2S Estimation and Sewer Corrosion”.
   Australia’s international water conference & exhibition (OZ-Water 2017)

3. Bin Li, Xuhui Fan, Yang Wang, Fang Chen and Frank Spaninks.
   “Data-Driven Customer Segmentation for Water Demand Analysis”.
   Australia’s international water conference & exhibition (OZ-Water 2016)