1 code implementation • 17 Jun 2023 • Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
In this way, the server can exploit the computational power of all clients and train the model on a larger set of data samples among all clients.
no code implementations • 2 May 2023 • Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li
In this paper, we propose a novel problem of antibiogram pattern prediction that aims to predict which patterns will appear in the future.
no code implementations • 24 Jul 2022 • Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li
Federated Graph Machine Learning (FGML) is a promising solution to tackle this challenge by training graph machine learning models in a federated manner.
no code implementations • 26 Feb 2020 • Xingbo Fu, Feng Gao, Jiang Wu
In this paper, we propose an actor-critic method - Attention-based Twin Delayed Deep Deterministic policy gradient (ATD3) algorithm to approximate a driver' s action according to observations and measure the driver' s attention allocation for consecutive time steps in car-following model.
1 code implementation • 14 Sep 2019 • Xingbo Fu, Feng Gao, Jiang Wu, Xinyu Wei, Fangwei Duan
This model captures spatial correlations among wind farms and temporal dependencies of wind power time series.