When Do Drivers Concentrate? Attention-based Driver Behavior Modeling with Deep Reinforcement Learning
Xingbo Fu, Feng Gao, Jiang Wu
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications
Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li
Accepted by SIGKDD Explorations.
A short version has been accepted to International Workshop on Federated Learning with Graph Data in Conjunction with CIKM 2022
Online Clustering based Fault Data Detection Method for Distributed PV Sites
Shujie Wang, Feng Gao, Jiang Wu , Chao Zheng , Xingbo Fu, Fangwei Duan
Chinese Control Conference (CCC 2020), Shenyang, China.
Spatiotemporal Attention Networks for Wind Power Forecasting
Xingbo Fu, Feng Gao, Jiang Wu, Xinyu Wei, Fangwei Duan
International Conference on Data Mining Workshops (ICDM 2019 Workshops), Beijing, China.
A Simulation Approach to Multi-station Solar Irradiance Data Considering Temporal Correlations
Xingbo Fu, Feng Gao, Jiang Wu, Ruanming Huang, Yichao Huang, Fei Fei
International Conference on Innovative Smart Grid Technologies (ISGT Asia 2019), Chengdu, China.
Wind Power Capacity Planning in Enterprise’s Microgrid based on Approximation Expectation of Operation Cost
Yuzhou Zhou, Qiaozhu Zhai, Xingbo Fu, Xiaohong Guan, Feng Gao, Jiang Wu, Zhanbo Xu
IEEE Power & Energy Society General Meeting (PESGM 2019), Atlanta, GA, USA.
A Simulation Method of Solar Irradiance Data Based on Feature Clustering and MTPM
Xingbo Fu, Feng Gao, Jiang Wu, Xiaohong Guan, Xuan Li, Pengyuan Liu, Pai Li
World Congress on Intelligent Control and Automation (WCICA 2018), Changsha, China.
Hybrid Features based K-means Clustering Algorithm for use in Electricity Customer Load Pattern Analysis
Pengyuan Liu, Chenye Yang, Jiang Wu, Xingbo Fu, Ruanming Huang, Yichao Huang, Fei Fei
Chinese Control Conference (CCC 2018), Wuhan, China.