Mengqi Hu

Mengqi Hu

University of Illinois at Chicago

H-index: 26

North America-United States

About Mengqi Hu

Mengqi Hu, With an exceptional h-index of 26 and a recent h-index of 21 (since 2020), a distinguished researcher at University of Illinois at Chicago, specializes in the field of Optimization, Multi-agent Decision Making, Reinforcement Learning, Swarm Intelligence, Building Energy Efficiency.

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

Contrastive learning methods for deep reinforcement learning

Simultaneous task and energy planning using deep reinforcement learning

Dynamic energy scheduling and routing of a large fleet of electric vehicles using multi-agent reinforcement learning

Dynamic energy scheduling and routing of multiple electric vehicles using deep reinforcement learning

Deep deterministic policy gradient with compatible critic network

Deep reinforcement learning with graph representation for vehicle repositioning

A comparison study on trading behavior and profit distribution in local energy transaction games

Continuous model adaptation using online meta-learning for smart grid application

Mengqi Hu Information

University

Position

Assistant Professor of Industrial Engineering

Citations(all)

2065

Citations(since 2020)

1333

Cited By

1279

hIndex(all)

26

hIndex(since 2020)

21

i10Index(all)

41

i10Index(since 2020)

37

Email

University Profile Page

University of Illinois at Chicago

Google Scholar

View Google Scholar Profile

Mengqi Hu Skills & Research Interests

Optimization

Multi-agent Decision Making

Reinforcement Learning

Swarm Intelligence

Building Energy Efficiency

Top articles of Mengqi Hu

Title

Journal

Author(s)

Publication Date

Contrastive learning methods for deep reinforcement learning

IEEE Access

Di Wang

Mengqi Hu

2023/9/6

Simultaneous task and energy planning using deep reinforcement learning

Information Sciences

Di Wang

Mengqi Hu

Jeffery D Weir

2022/8/1

Dynamic energy scheduling and routing of a large fleet of electric vehicles using multi-agent reinforcement learning

Computers & Industrial Engineering

Mohammed Alqahtani

Michael J Scott

Mengqi Hu

2022/7/1

Dynamic energy scheduling and routing of multiple electric vehicles using deep reinforcement learning

Energy

Mohammed Alqahtani

Mengqi Hu

2022/4/1

Deep deterministic policy gradient with compatible critic network

IEEE Transactions on Neural Networks and Learning Systems

Di Wang

Mengqi Hu

2021/10/15

Deep reinforcement learning with graph representation for vehicle repositioning

IEEE Transactions on Intelligent Transportation Systems

Zishun Yu

Mengqi Hu

2021/10/28

A comparison study on trading behavior and profit distribution in local energy transaction games

Applied Energy

Yang Chen

Byungkwon Park

Xiao Kou

Mengqi Hu

Jin Dong

...

2020/12/15

Continuous model adaptation using online meta-learning for smart grid application

IEEE Transactions on Neural Networks and Learning Systems

Jinghang Li

Mengqi Hu

2020/8/24

A prediction method of localizability based on deep learning

IEEE Access

Yang Gao

Shu Qi Wang

Jing Hang Li

Meng Qi Hu

Hong Yao Xia

...

2020/6/9

Integrated energy scheduling and routing for a network of mobile prosumers

Energy

Mohammed Alqahtani

Mengqi Hu

2020/6/1

See List of Professors in Mengqi Hu University(University of Illinois at Chicago)