Feng Zhou

According to our database, Feng Zhou authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints.

Yongli Mou, Jiahui Geng, Feng Zhou, Oya Beyan, Chunming Rong, Stefan Decker

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes.

Yixuan Zhang, Quyu Kong, Feng Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Efficient EM-variational inference for nonparametric Hawkes process.

Feng Zhou, Simon Luo, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen

Stat. Comput., 2021

Continuous-time edge modelling using non-parametric point processes.

Xuhui Fan, Bin Li, Feng Zhou, Scott A. Sisson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Fast multi-resolution segmentation for nonstationary Hawkes process using cumulants.

Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen

Int. J. Data Sci. Anal., 2020

Efficient Inference of Nonparametric Interaction in Spiking-neuron Networks.

Feng Zhou, Yixuan Zhang, Jun Zhu

CoRR, 2020

Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes.

Simon Luo, Feng Zhou, Lamiae Azizi, Mahito Sugiyama

CoRR, 2020

2019

Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation.

Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen

CoRR, 2019

Efficient EM-Variational Inference for Hawkes Process.

Feng Zhou

CoRR, 2019

Hawkes Process with Stochastic Triggering Kernel.

Feng Zhou, Yixuan Zhang, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018

A Refined MISD Algorithm Based on Gaussian Process Regression.

Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018