We stand with Ukraine  

Hepeng Li

Orcid: 0000-0002-7775-9088

According to our database1, Hepeng Li authored at least 17 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Robust Distributed Finite-time Secondary Frequency Control of Islanded AC Microgrids With Event-Triggered Mechanism.
[BibTeX]
[DOI]
Zhenhua Wang
,
Hepeng Li
,
Haibo He
,
Yan Sun
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning.
[BibTeX]
[DOI]
Hepeng Li
,
Xiangnan Zhong
,
Haibo He
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Learning to Operate Distribution Networks With Safe Deep Reinforcement Learning.
[BibTeX]
[DOI]
Hepeng Li
,
Haibo He
IEEE Trans. Smart Grid, 2022

Resilient Predictor-Based Load Frequency Control for Multi-Region Power Systems Under DoS Attacks.
[BibTeX]
[DOI]
Zhenhua Wang
,
William Danilczyk
,
Hepeng Li
,
Haibo He
,
Yan Lindsay Sun
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

An Analytical Update Rule for General Policy Optimization.
[BibTeX]
[DOI]
Hepeng Li
,
Nicholas Clavette
,
Haibo He
Proceedings of the International Conference on Machine Learning, 2022

2021
Online Microgrid Energy Management Based on Safe Deep Reinforcement Learning.
[BibTeX]
[DOI]
Hepeng Li
,
Zhenhua Wang
,
Lusi Li
,
Haibo He
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Multi-view Semi-Supervised Learning for Cooperative Spectrum Sensing.
[BibTeX]
[DOI]
Lusi Li
,
Laura Slayton
,
Hepeng Li
,
Haibo He
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Distributed Volt-VAR Optimization based on Multi-Agent Deep Reinforcement Learning.
[BibTeX]
[DOI]
Hepeng Li
,
Zhenhua Wang
,
Haibo He
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Real-Time Residential Demand Response.
[BibTeX]
[DOI]
Hepeng Li
,
Zhiqiang Wan
,
Haibo He
IEEE Trans. Smart Grid, 2020

Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning.
[BibTeX]
[DOI]
Hepeng Li
,
Zhiqiang Wan
,
Haibo He
IEEE Trans. Smart Grid, 2020

Multi-Agent Trust Region Policy Optimization.
[BibTeX]
[DOI]
Hepeng Li
,
Haibo He
CoRR, 2020

A Deep Reinforcement Learning Based Approach for Home Energy Management System.
[BibTeX]
[DOI]
Hepeng Li
,
Zhiqiang Wan
,
Haibo He
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

One-Shot Unsupervised Domain Adaptation for Object Detection.
[BibTeX]
[DOI]
Zhiqiang Wan
,
Lusi Li
,
Hepeng Li
,
Haibo He
,
Zhen Ni
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Dynamic Energy Management of a Microgrid Using Approximate Dynamic Programming and Deep Recurrent Neural Network Learning.
[BibTeX]
[DOI]
Peng Zeng
,
Hepeng Li
,
Haibo He
,
Shuhui Li
IEEE Trans. Smart Grid, 2019

Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning.
[BibTeX]
[DOI]
Zhiqiang Wan
,
Hepeng Li
,
Haibo He
,
Danil V. Prokhorov
IEEE Trans. Smart Grid, 2019

2018
Residential Energy Management with Deep Reinforcement Learning.
[BibTeX]
[DOI]
Zhiqiang Wan
,
Hepeng Li
,
Haibo He
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2015
Mixed H2 / H∞ optimal control for three-phase Grid Connected Converter.
[BibTeX]
[DOI]
Zhongwen Li
,
Chuanzhi Zang
,
Peng Zeng
,
Haibin Yu
,
Hepeng Li
,
Jing Bian
Proceedings of the IEEE International Conference on Information and Automation, 2015


  Loading...