CUFinder

Haijin Wang

About Haijin Wang

Haijin Wang, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at Beijing University of Posts and Telecommunications, specializes in the field of Deep learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Perfednilm: a practical personalized federated learning-based non-intrusive load monitoring

FedLF: Layer-Wise Fair Federated Learning

Robust Co-Modeling for Privacy-Preserving Short-Term Load Forecasting With Incongruent Load Data Distributions

Fedmdfg: Federated learning with multi-gradient descent and fair guidance

Near-real-time daily estimates of fossil fuel CO2 emissions from major high-emission cities in China

Fed‐NILM: A federated learning‐based non‐intrusive load monitoring method for privacy‐protection

A federated learning framework for non-intrusive load monitoring

Haijin Wang Information

University

Position

___

Citations(all)

29

Citations(since 2020)

29

Cited By

0

hIndex(all)

3

hIndex(since 2020)

3

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Haijin Wang Skills & Research Interests

Deep learning

Top articles of Haijin Wang

Perfednilm: a practical personalized federated learning-based non-intrusive load monitoring

Industrial Artificial Intelligence

2024/4/16

Chi Li
Chi Li

H-Index: 17

Haijin Wang
Haijin Wang

H-Index: 0

FedLF: Layer-Wise Fair Federated Learning

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Chi Li
Chi Li

H-Index: 17

Haijin Wang
Haijin Wang

H-Index: 0

Robust Co-Modeling for Privacy-Preserving Short-Term Load Forecasting With Incongruent Load Data Distributions

IEEE Transactions on Smart Grid

2024/2/29

Haijin Wang
Haijin Wang

H-Index: 0

Lei Chen
Lei Chen

H-Index: 18

Yong Min
Yong Min

H-Index: 10

Fei Xu
Fei Xu

H-Index: 11

Fedmdfg: Federated learning with multi-gradient descent and fair guidance

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Chi Li
Chi Li

H-Index: 17

Haijin Wang
Haijin Wang

H-Index: 0

Near-real-time daily estimates of fossil fuel CO2 emissions from major high-emission cities in China

Scientific Data

2022/11/10

Da Huo
Da Huo

H-Index: 3

Kai Liu
Kai Liu

H-Index: 4

Taochun Sun
Taochun Sun

H-Index: 4

Yun Sun
Yun Sun

H-Index: 1

Jinjie Liu
Jinjie Liu

H-Index: 7

Xiaoting Huang
Xiaoting Huang

H-Index: 17

Jian Qiu
Jian Qiu

H-Index: 8

Haijin Wang
Haijin Wang

H-Index: 0

Duo Cui
Duo Cui

H-Index: 7

Zhu Deng
Zhu Deng

H-Index: 6

Piyu Ke
Piyu Ke

H-Index: 4

Olivier Boucher
Olivier Boucher

H-Index: 20

Gaoqi Liang
Gaoqi Liang

H-Index: 11

Lei Chen
Lei Chen

H-Index: 18

Qian Zhang
Qian Zhang

H-Index: 5

Zhu Liu
Zhu Liu

H-Index: 26

Fed‐NILM: A federated learning‐based non‐intrusive load monitoring method for privacy‐protection

Energy Conversion and Economics

2022/4/20

Haijin Wang
Haijin Wang

H-Index: 0

A federated learning framework for non-intrusive load monitoring

arXiv preprint arXiv:2104.01618

2021/4/4

Haijin Wang
Haijin Wang

H-Index: 0

See List of Professors in Haijin Wang University(Beijing University of Posts and Telecommunications)