Mixed H2 / H∞ optimal control for three-phase Grid Connected Converter. - Zhongwen Li; Chuanzhi Zang; Peng Zeng 001; Haibin Yu; Hepeng Li; Jing Bian (ICIA, 2015)

Residential Energy Management with Deep Reinforcement Learning. - Zhiqiang Wan; Hepeng Li; Haibo He (IJCNN, 2018)

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

Dynamic Energy Management of a Microgrid Using Approximate Dynamic Programming and Deep Recurrent Neural Network Learning. - Peng Zeng 001; Hepeng Li; Haibo He; Shuhui Li 001 (IEEE Trans. Smart Grid, 2019)

One-Shot Unsupervised Domain Adaptation for Object Detection. - Zhiqiang Wan; Lusi Li; Hepeng Li; Haibo He; Zhen Ni (IJCNN, 2020)

A Deep Reinforcement Learning Based Approach for Home Energy Management System. - Hepeng Li; Zhiqiang Wan; Haibo He (ISGT, 2020)

Multi-Agent Trust Region Policy Optimization. - Hepeng Li; Haibo He (CoRR, 2020)

Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning. - Hepeng Li; Zhiqiang Wan; Haibo He (IEEE Trans. Smart Grid, 2020)

Real-Time Residential Demand Response. - Hepeng Li; Zhiqiang Wan; Haibo He (IEEE Trans. Smart Grid, 2020)

Distributed Volt-VAR Optimization based on Multi-Agent Deep Reinforcement Learning. - Hepeng Li; Zhenhua Wang; Haibo He (IJCNN, 2021)

Multi-view Semi-Supervised Learning for Cooperative Spectrum Sensing. - Lusi Li; Laura Slayton; Hepeng Li; Haibo He (SSCI, 2021)

Online Microgrid Energy Management Based on Safe Deep Reinforcement Learning. - Hepeng Li; Zhenhua Wang; Lusi Li; Haibo He (SSCI, 2021)

An Analytical Update Rule for General Policy Optimization. - Hepeng Li; Nicholas Clavette; Haibo He (ICML, 2022)

Resilient Predictor-Based Load Frequency Control for Multi-Region Power Systems Under DoS Attacks. - Zhenhua Wang; William Danilczyk; Hepeng Li; Haibo He; Yan Lindsay Sun (ISGT, 2022)

Learning to Operate Distribution Networks With Safe Deep Reinforcement Learning. - Hepeng Li; Haibo He (IEEE Trans. Smart Grid, 2022)

An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning. - Hepeng Li; Xiangnan Zhong; Haibo He (IJCNN, 2023)

Robust Distributed Finite-time Secondary Frequency Control of Islanded AC Microgrids With Event-Triggered Mechanism. - Zhenhua Wang; Hepeng Li; Haibo He; Yan Sun 001 (ISGT, 2023)

Multiagent Trust Region Policy Optimization. - Hepeng Li; Haibo He (IEEE Trans. Neural Networks Learn. Syst., 2024)

Knowledge transfer from simple to complex: A safe and efficient reinforcement learning framework for autonomous driving decision-making. - Rongliang Zhou; Jiakun Huang; Mingjun Li; Hepeng Li; Haotian Cao; Xiaolin Song (Adv. Eng. Informatics, 2025)

Position: Emergent Machina Sapiens Urge Rethinking Multi-Agent Paradigms. - Hepeng Li; Yuhong Liu; Jun Yan (CoRR, 2025)