Xuhui Fan

84 papers A* 18A 6Journal 53Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data-Dependent Rectangular Bounding Processes.
IEEE Trans. Pattern Anal. Mach. Intell.
Xuhui Fan, Bin Li, Prosha Rahman, Scott A. Sisson
2026 J jnl
Federated neural nonparametric point processes.
Artif. Intell.
Hui Chen, Xuhui Fan, Hengyu Liu, Yaqiong Li, Zhi-Lin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao
2026 A* conf
Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation.
AAAI
Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Xuhui Fan, Qiang Ni, Xuyun Zhang, Yang Zhang, Yuan Tian, Amin Beheshti
2026 J jnl
PBDD: A Prompt-Based Learning Approach for Few-Shot Social Media Depression Detection.
IEEE Trans. Comput. Soc. Syst.
Rui Wang, Heyang Feng, Erik Cambria, Kaize Shi, Xiaohan Yu, Xuhui Fan, Qiang Zhao, Xianxun Zhu
2025 J jnl
A Survey on Pre-Trained Diffusion Model Distillations.
CoRR
Xuhui Fan, Zhangkai Wu, Hongyu Wu
2025 J jnl
A client-server based recognition system: Non-contact single/multiple emotional and behavioral state assessment methods.
Comput. Methods Programs Biomed.
Xianxun Zhu, Zhaozhao Liu, Erik Cambria, Xiaohan Yu, Xuhui Fan, Hui Chen, Rui Wang
2025 J jnl
Contrastive-Based Removal of Negative Information in Multimodal Emotion Analysis.
Cogn. Comput.
Rui Wang, Yaoyang Wang, Erik Cambria, Xuhui Fan, Xiaohan Yu, Yao Huang, Xiaosong E, Xianxun Zhu
2025 A* conf
Dynamic Spectral Graph Anomaly Detection.
AAAI
Jianbo Zheng, Chao Yang, Tairui Zhang, Longbing Cao, Bin Jiang, Xuhui Fan, Xiao-Ming Wu, Xianxun Zhu
2025 J jnl
FAME: Fairness-aware Attention-modulated Video Editing.
CoRR
Zhangkai Wu, Xuhui Fan, Zhongyuan Xie, Kaize Shi, Zhidong Li, Longbing Cao
2025 J jnl
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification.
IEEE Trans. Neural Networks Learn. Syst.
Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao
2025 J jnl
FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization.
CoRR
Hui Chen, Xuhui Fan, Zhangkai Wu, Longbing Cao
2025 A* conf
Navigating Towards Fairness with Data Selection.
AAAI
Yixuan Zhang, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan, Feng Zhou
2025 J jnl
Nested AutoRegressive Models.
CoRR
Hongyu Wu, Xuhui Fan, Zhangkai Wu, Longbing Cao
2025 — conf
ProgDiffusion: Progressively Self-encoding Diffusion Models.
KDD (1)
Zhangkai Wu, Xuhui Fan, Longbing Cao
2025 — conf
SepDiff: Self-Encoding Parameter Diffusion for Learning Latent Semantics.
KDD (2)
Zhangkai Wu, Xuhui Fan, Jin Li, Zhilin Zhao, Hui Chen, Longbing Cao
2025 J jnl
TraFlow: Trajectory Distillation on Pre-Trained Rectified Flow.
CoRR
Zhangkai Wu, Xuhui Fan, Hongyu Wu, Longbing Cao
2025 J jnl
VALA: Learning Latent Anchors for Training-Free and Temporally Consistent.
CoRR
Zhangkai Wu, Xuhui Fan, Zhongyuan Xie, Kaize Shi, Longbing Cao
2024 A* conf
Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation.
ICML
Yididiya Y. Nadew, Xuhui Fan, Christopher John Quinn
2024 J jnl
Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation.
CoRR
Yididiya Y. Nadew, Xuhui Fan, Christopher J. Quinn
2024 J jnl
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification.
CoRR
Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao
2024 J jnl
Federated Neural Nonparametric Point Processes.
CoRR
Hui Chen, Hengyu Liu, Yaqiong Li, Xuhui Fan, Zhilin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao
2024 J jnl
Learning Coupled Subspaces for Multi-Condition Spike Data.
CoRR
Yididiya Y. Nadew, Xuhui Fan, Christopher J. Quinn
2024 J jnl
Marked Temporal Bayesian Flow Point Processes.
CoRR
Hui Chen, Xuhui Fan, Hengyu Liu, Longbing Cao
2024 J jnl
Navigating Towards Fairness with Data Selection.
CoRR
Yixuan Zhang, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan, Feng Zhou
2024 A* conf
Nonstationary Sparse Spectral Permanental Process.
NeurIPS
Zicheng Sun, Yixuan Zhang, Zenan Ling, Xuhui Fan, Feng Zhou
2024 J jnl
Nonstationary Sparse Spectral Permanental Process.
CoRR
Zicheng Sun, Yixuan Zhang, Zenan Ling, Xuhui Fan, Feng Zhou
2024 J jnl
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks.
CoRR
Zhangkai Wu, Xuhui Fan, Jin Li, Zhilin Zhao, Hui Chen, Longbing Cao
2024 A* conf
Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data.
NeurIPS
Zhilin Zhao, Longbing Cao, Xuhui Fan, Wei-Shi Zheng
2024 A conf
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes.
ECAI
Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou
2024 J jnl
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes.
CoRR
Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen, Feng Zhou
2023 J jnl
Bayesian Federated Learning: A Survey.
CoRR
Longbing Cao, Hui Chen, Xuhui Fan, João Gama, Yew-Soon Ong, Vipin Kumar
2023 J jnl
Dynamic customer segmentation via hierarchical fragmentation-coagulation processes.
Mach. Learn.
Ling Luo, Bin Li, Xuhui Fan, Yang Wang, Irena Koprinska, Fang Chen
2023 A* conf
Free-Form Variational Inference for Gaussian Process State-Space Models.
ICML
Xuhui Fan, Edwin V. Bonilla, Terence J. O'Kane, Scott A. Sisson
2023 J jnl
Free-Form Variational Inference for Gaussian Process State-Space Models.
CoRR
Xuhui Fan, Edwin V. Bonilla, Terence J. O'Kane, Scott A. Sisson
2023 J jnl
Hawkes Processes With Stochastic Exogenous Effects for Continuous-Time Interaction Modelling.
IEEE Trans. Pattern Anal. Mach. Intell.
Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
2022 J jnl
Smoothing graphons for modelling exchangeable relational data.
Mach. Learn.
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
2022 J jnl
Supervised Categorical Metric Learning With Schatten p-Norms.
IEEE Trans. Cybern.
Yaqiong Li, Xuhui Fan, Éric Gaussier
2021 A* conf
Bayesian Nonparametric Space Partitions: A Survey.
IJCAI
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson
2021 A* conf
Continuous-time edge modelling using non-parametric point processes.
NeurIPS
Xuhui Fan, Bin Li, Feng Zhou, Scott A. Sisson
2021 — conf
Decoupling Sparsity and Smoothness in Dirichlet Belief Networks.
ECML/PKDD (2)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
2021 J jnl
Efficient EM-variational inference for nonparametric Hawkes process.
Stat. Comput.
Feng Zhou, Simon Luo, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
2021 J jnl
Kernelized Sparse Bayesian Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst.
Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Kerrie L. Mengersen
2021 A* conf
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks.
ICML
Xuhui Fan, Bin Li, Yaqiong Li, Scott A. Sisson
2020 J jnl
Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures.
IEEE Trans. Signal Process.
Caoyuan Li, Hong-Bo Xie, Kerrie L. Mengersen, Xuhui Fan, Richard Yi Da Xu, Scott A. Sisson, Sabine Van Huffel
2020 J jnl
Bayesian Nonparametric Space Partitions: A Survey.
CoRR
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson
2020 J jnl
Fast multi-resolution segmentation for nonstationary Hawkes process using cumulants.
Int. J. Data Sci. Anal.
Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
2020 A* conf
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel.
AAAI
Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Z. Reformat
2020 J jnl
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel.
CoRR
Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Z. Reformat
2020 A conf
Online Binary Space Partitioning Forests.
AISTATS
Xuhui Fan, Bin Li, Scott A. Sisson
2020 J jnl
Online Binary Space Partitioning Forests.
CoRR
Xuhui Fan, Bin Li, Scott A. Sisson
2020 J jnl
Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling.
CoRR
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
2020 A* conf
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling.
IJCAI
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson
2020 J jnl
Smoothing Graphons for Modelling Exchangeable Relational Data.
CoRR
Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
2020 J jnl
Supervised Categorical Metric Learning with Schatten p-Norms.
CoRR
Xuhui Fan, Éric Gaussier
2019 A conf
Binary Space Partitioning Forest.
AISTATS
Xuhui Fan, Bin Li, Scott A. Sisson
2019 J jnl
Binary Space Partitioning Forests.
CoRR
Xuhui Fan, Bin Li, Scott Anthony Sisson
2019 — conf
Hawkes Process with Stochastic Triggering Kernel.
PAKDD (1)
Feng Zhou, Yixuan Zhang, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
2019 J jnl
Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator.
IEEE Trans. Image Process.
Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Scott A. Sisson, Kerrie L. Mengersen
2019 J jnl
Rectangular Bounding Process.
CoRR
Xuhui Fan, Bin Li, Scott Anthony Sisson
2019 A* conf
Scalable Deep Generative Relational Model with High-Order Node Dependence.
NeurIPS
Xuhui Fan, Bin Li, Caoyuan Li, Scott A. Sisson, Ling Chen
2019 J jnl
Scalable Deep Generative Relational Models with High-Order Node Dependence.
CoRR
Xuhui Fan, Bin Li, Scott Anthony Sisson, Caoyuan Li, Ling Chen
2019 J jnl
Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation.
CoRR
Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
2019 J jnl
The Binary Space Partitioning-Tree Process.
CoRR
Xuhui Fan, Bin Li, Scott Anthony Sisson
2018 — conf
A Refined MISD Algorithm Based on Gaussian Process Regression.
PAKDD (2)
Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
2018 — conf
Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study.
PAKDD (1)
Jianjia Zhang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen
2018 A* conf
Rectangular Bounding Process.
NeurIPS
Xuhui Fan, Bin Li, Scott A. Sisson
2018 A conf
The Binary Space Partitioning-Tree Process.
AISTATS
Xuhui Fan, Bin Li, Scott A. Sisson
2017 J jnl
Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network.
IEEE Trans. Cybern.
Xuhui Fan, Richard Yi Da Xu, Longbing Cao, Yin Song
2016 A* conf
Bayesian Optimization of Partition Layouts for Mondrian Processes.
IJCAI
Yi Wang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen
2016 A* conf
Copula Mixed-Membership Stochastic Blockmodel.
IJCAI
Xuhui Fan, Richard Yi Da Xu, Longbing Cao
2016 J jnl
Stochastic Patching Process.
CoRR
Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen
2016 A* conf
The Ostomachion Process.
AAAI
Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen
2015 J jnl
A convergence theorem for graph shift-type algorithms.
Pattern Recognit.
Xuhui Fan, Longbing Cao
2015 J jnl
Dynamic Infinite Mixed-Membership Stochastic Blockmodel.
IEEE Trans. Neural Networks Learn. Syst.
Xuhui Fan, Longbing Cao, Richard Yi Da Xu
2015 — —
Nonparametric Bayesian models for learning network coupling relationships
Xuhui Fan
2013 J jnl
A Convergence Theorem for the Graph Shift-type Algorithms.
CoRR
Xuhui Fan, Longbing Cao
2013 J jnl
Characterizing A Database of Sequential Behaviors with Latent Dirichlet Hidden Markov Models
CoRR
Yin Song, Longbing Cao, Xuhui Fan, Wei Cao, Jian Zhang
2013 J jnl
Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations.
CoRR
Xuhui Fan, Longbing Cao, Richard Yi Da Xu
2013 J jnl
Dynamic Infinite Mixed-Membership Stochastic Blockmodel.
CoRR
Xuhui Fan, Longbing Cao, Richard Yi Da Xu
2013 J jnl
Learning Hidden Structures with Relational Models by Adequately Involving Rich Information in A Network.
CoRR
Xuhui Fan, Richard Yi Da Xu, Longbing Cao, Yin Song
2013 J jnl
Non-parametric Power-law Data Clustering.
CoRR
Xuhui Fan, Yiling Zeng, Longbing Cao
2012 A* conf
A Theoretical Framework of the Graph Shift Algorithm.
AAAI
Xuhui Fan, Longbing Cao
2012 A conf
Maximum margin clustering on evolutionary data.
CIKM
Xuhui Fan, Lin Zhu, Longbing Cao, Xia Cui, Yew-Soon Ong
2012 A conf
Model the complex dependence structures of financial variables by using canonical vine.
CIKM
Wei Wei, Xuhui Fan, Jinyan Li, Longbing Cao