Search Results for author: Ge Chen

Found 15 papers, 3 papers with code

Exploring Task Unification in Graph Representation Learning via Generative Approach

no code implementations21 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).

Graph Representation Learning Transfer Learning

On the Choice of Loss Function in Learning-based Optimal Power Flow

no code implementations1 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.

Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method

no code implementations23 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.

Contrastive Learning Graph Learning +1

Evolutionary Games on Networks: Phase Transition, Quasi-equilibrium, and Mathematical Principles

no code implementations26 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.

Convergence, Consensus and Dissensus in the Weighted-Median Opinion Dynamics

no code implementations17 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.

Optimal Control for Unmanned Systems with One-way Broadcast Communication

no code implementations3 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.

District Cooling System Control for Providing Operating Reserve based on Safe Deep Reinforcement Learning

no code implementations21 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.

Reinforcement Learning (RL)

Scheduling HVAC loads to promote renewable generation integration with a learning-based joint chance-constrained approach

no code implementations18 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.

Computational Efficiency Scheduling

Structural Balance and Interpersonal Appraisals Dynamics: Beyond All-to-All and Two-Faction Networks

no code implementations18 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

Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation

no code implementations13 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.

2D Human Pose Estimation 2D Pose Estimation +1

Topology-free optimal power dispatch for distribution network considering security constraints and flexible building thermal inertia

no code implementations19 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

Learning Enhanced Resolution-wise features for Human Pose Estimation

no code implementations11 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.

GPR Keypoint Detection

Interaction-aware Factorization Machines for Recommender Systems

1 code implementation26 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.

Recommendation Systems

EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies

1 code implementation10 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).

General Classification Oceanic Eddy Classification

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