Search Results for author: Ge Chen

Found 9 papers, 3 papers with code

Word Segmentation by Separation Inference for East Asian Languages

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.

Chinese Word Segmentation

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

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.

Pose Estimation

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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