no code implementations • ICML 2020 • Xuefei Zhang, Songkai Xue, Ji Zhu
Entities often interact with each other through multiple types of relations, which are often represented as multilayer networks.
1 code implementation • 12 Oct 2023 • Xiao Xu, Lei Zhang, Bailong Liu, Zhizhen Liang, Xuefei Zhang
Finally, we design an extra spatial-temporal knowledge distillation module for incremental learning of traffic flow prediction tasks.
no code implementations • 5 Jul 2023 • Yiyao Zhou, Qianggang Wang, Yuan Chi, Jianquan Liao, Tao Huang, Niancheng Zhou, Xiaolong Xu, Xuefei Zhang
Optimal power flow (OPF) is a fundamental tool for analyzing the characteristics of bipolar DC distribution network (DCDN).
no code implementations • 12 May 2023 • Guoshun Nan, Zhichun Li, Jinli Zhai, Qimei Cui, Gong Chen, Xin Du, Xuefei Zhang, Xiaofeng Tao, Zhu Han, Tony Q. S. Quek
We argue that central to the success of ESC is the robust interpretation of conveyed semantics at the receiver side, especially for security-critical applications such as automatic driving and smart healthcare.
no code implementations • 13 Oct 2021 • Zhiming Liu, Xuefei Zhang, Chongyang Liu, Hao Wang, Chao Sun, Bin Li, Weifeng Sun, Pu Huang, Qingjun Li, Yu Liu, Haipeng Kuang, Jihong Xiu
To address these issues, we propose a relationship representation network for object detection in aerial images (RelationRS): 1) Firstly, multi-scale features are fused and enhanced by a dual relationship module (DRM) with conditional convolution.
2 code implementations • ICLR 2021 • Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei
In this paper, we distinguish the \textit{representational} and the \textit{correlational} roles played by the graphs in node-level prediction tasks, and we investigate how Graph Neural Network (GNN) models can effectively leverage both types of information.
no code implementations • COLING 2018 • Ruifang He, Xuefei Zhang, Di Jin, Longbiao Wang, Jianwu Dang, Xiangang Li
They ignore that one discusses diverse topics when dynamically interacting with different people.