1 code implementation • Findings (ACL) 2022 • Yu tong, Jingzhi Guo, Jizhe Zhou, Ge Chen, Guokai Zheng
Thinking in reverse, CWS can also be viewed as a process of grouping a sequence of characters into a sequence of words.
no code implementations • 25 Apr 2024 • Yi Han, Ge Chen, Florian Dörfler, Wenjun Mei
It turns out that the proof methods for the original discrete-time asynchronous model are no longer applicable to the analysis of the continuous-time model.
no code implementations • 21 Mar 2024 • Yulan Hu, Sheng Ouyang, Zhirui Yang, Ge Chen, Junchen Wan, Xiao Wang, Yong liu
Specifically, GA^2E proposes to use the subgraph as the meta-structure, which remains consistent across all graph tasks (ranging from node-, edge-, and graph-level to transfer learning) and all stages (both during training and inference).
no code implementations • 1 Feb 2024 • Ge Chen, Junjie Qin
The first trains a mapping from the loads to the optimal dispatch decisions, utilizing mean square error (MSE) between predicted and optimal dispatch decisions as the loss function.
no code implementations • 23 Oct 2023 • Yulan Hu, Sheng Ouyang, Jingyu Liu, Ge Chen, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Yong liu
Thus, we propose GraphRank, a simple yet efficient graph contrastive learning method that addresses the problem of false negative samples by redefining the concept of negative samples to a certain extent, thereby avoiding the issue of false negative samples.
no code implementations • 26 Apr 2023 • Jiangjiang Cheng, Wenjun Mei, Wei Su, Ge Chen
The stable cooperation ratio of spatial evolutionary games has been widely studied using simulations or approximate analysis methods.
no code implementations • 17 Dec 2022 • Wenjun Mei, Julien M. Hendrickx, Ge Chen, Francesco Bullo, Florian Dörfler
Moreover, we prove a necessary and sufficient graph-theoretic condition for the almost-sure convergence to consensus, as well as a sufficient graph-theoretic condition for almost-sure persistent dissensus.
no code implementations • 3 Jun 2022 • Chao Ge, Ge Chen
Also, we give a convergence analysis for our algorithm, and show that each agent can reach its target in finite time under some conditions on agents, targets and radar-missiles.
no code implementations • 21 Dec 2021 • Peipei Yu, Hongxun Hui, Hongcai Zhang, Ge Chen, Yonghua Song
To address the above issues, we propose a model-free control strategy based on the deep reinforcement learning (DRL) without the requirement of accurate system model and uncertainty distribution.
no code implementations • 18 Dec 2021 • Ge Chen, Hongcai Zhang, Hongxun Hui, Yonghua Song
The integration of distributed renewable generation (DRG) in distribution networks can be effectively promoted by scheduling flexible resources such as heating, ventilation, and air conditioning (HVAC) loads.
no code implementations • 18 Dec 2020 • Wenjun Mei, Ge Chen, Noah E. Friedkin, Florian Dörfler
structural balance configurations of the appraisal networks.
Social and Information Networks Discrete Mathematics Systems and Control Systems and Control 93-10, 91D30, 68R10
no code implementations • 13 Dec 2020 • Kun Zhang, Rui Wu, Ping Yao, Kai Deng, Ding Li, Renbiao Liu, Chuanguang Yang, Ge Chen, Min Du, Tianyao Zheng
We note that 2D pose estimation task is highly dependent on the contextual relationship between image patches, thus we introduce a self-supervised method for pretraining 2D pose estimation networks.
no code implementations • 19 Nov 2020 • Ge Chen, Hongcai Zhang, Ningyi Dai, Yonghua Song
With the increasing integration of distributed PV generation, the distribution network requires more and more flexibility to achieve the security-constrained optimal power dispatch.
Optimization and Control
no code implementations • 11 Sep 2019 • Kun Zhang, Peng He, Ping Yao, Ge Chen, Rui Wu, Min Du, Huimin Li, Li Fu, Tianyao Zheng
Specifically, RAM learns a group of weights to represent the different importance of feature maps across resolutions, and the GPR gradually merges every two feature maps from low to high resolutions to regress final human keypoint heatmaps.
1 code implementation • 26 Feb 2019 • Fuxing Hong, Dongbo Huang, Ge Chen
In this work, we propose a novel model named \emph{Interaction-aware Factorization Machine} (IFM) by introducing Interaction-Aware Mechanism (IAM), which comprises the \emph{feature aspect} and the \emph{field aspect}, to learn flexible interactions on two levels.
Ranked #1 on Recommendation Systems on Frappe
1 code implementation • 10 Nov 2017 • Redouane Lguensat, Miao Sun, Ronan Fablet, Evan Mason, Pierre Tandeo, Ge Chen
This work presents EddyNet, a deep learning based architecture for automated eddy detection and classification from Sea Surface Height (SSH) maps provided by the Copernicus Marine and Environment Monitoring Service (CMEMS).