Evaluation of Look-ahead Economic Dispatch Using Reinforcement Learning

no code implementations • 21 Sep 2022 • Zekuan Yu, Guangchun Ruan, Xinyue Wang, Guanglun Zhang, Yiliu He, Haiwang Zhong

In this paper, we propose an evaluation approach to analyze the performance of RL agents in a look-ahead economic dispatch scheme.

reinforcement-learning reinforcement Learning

Open-Access Data and Toolbox for Tracking COVID-19 Impact on Power Systems

1 code implementation • 10 Dec 2021 • Guangchun Ruan, Zekuan Yu, Shutong Pu, Songtao Zhou, Haiwang Zhong, Le Xie, Qing Xia, Chongqing Kang

Intervention policies against COVID-19 have caused large-scale disruptions globally, and led to a series of pattern changes in the power system operation.

Construct Informative Triplet with Two-stage Hard-sample Generation

no code implementations • 4 Dec 2021 • Chuang Zhu, Zheng Hu, Huihui Dong, Gang He, Zekuan Yu, Shangshang Zhang

In this paper, we propose a robust sample generation scheme to construct informative triplets.

Metric Learning

PML: Progressive Margin Loss for Long-tailed Age Classification

1 code implementation • CVPR 2021 • Zongyong Deng, Hao liu, Yaoxing Wang, Chenyang Wang, Zekuan Yu, Xuehong Sun

In this paper, we propose a progressive margin loss (PML) approach for unconstrained facial age classification.

Classification General Classification

A New Deep Neural Architecture Search Pipeline for Face Recognition

no code implementations • 12 May 2020 • Ning Zhu, Zekuan Yu, Caixia Kou

In this paper, we first propose a new deep neural architecture search pipeline combined with NAS technology and reinforcement learning strategy into face recognition.

Face Recognition Image Classification +3