no code implementations • 11 May 2024 • Renyou Xie, Xin Yin, Chaojie Li, Nian Liu, Bo Zhao, ZhaoYang Dong
Distribution system state estimation (DSSE) plays a crucial role in the real-time monitoring, control, and operation of distribution networks.
no code implementations • 30 Apr 2024 • Yi Li, Renyou Xie, Chaojie Li, Yi Wang, ZhaoYang Dong
To address these challenges, a federated graph learning approach involving multiple charging stations is proposed to collaboratively train a more generalized deep learning model for demand forecasting while capturing spatial correlations among various stations and enhancing robustness against potential attacks.
no code implementations • 3 Nov 2022 • Liangchen Liu, Qiuhong Ke, Chaojie Li, Feiping Nie, Yingying Zhu
In this paper, we formulate a novel clustering model, which exploits the non-negative feature property and, more importantly, incorporates the multi-view information into a unified joint learning framework: the unified multi-view orthonormal non-negative graph based clustering framework (Umv-ONGC).
no code implementations • 27 Sep 2019 • Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Honghui Tu, Xue Li
In addition, we propose to jointly learn user-user group (item-item group) hierarchies, so that we can effectively discover latent groups and learn compact user/item representations.