Jinhao Li

According to our database, Jinhao Li authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Multi-View Multi-Timescale Hypergraph-Empowered Spatiotemporal Framework for EV Charging Forecasting.

Jinhao Li, Hao Wang

IEEE Trans. Smart Grid, March, 2026

A Unified Variational Imputation Framework for Electric Vehicle Charging Data Using Retrieval-Augmented Language Model.

Jinhao Li, Hao Wang

CoRR, January, 2026

2025

MUSEKG: A Knowledge Graph Over Museum Collections.

Jinhao Li, Jianzhong Qi, Soyeon Caren Han, Eun-Jung Holden

CoRR, November, 2025

Mitigating Long-tail Distribution in Oracle Bone Inscriptions: Dataset, Model, and Benchmark.

Jinhao Li, Zijian Chen, Runze Jiang, Tingzhu Chen, Changbo Wang, Guangtao Zhai

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets.

Jinhao Li, Changlong Wang, Hao Wang

IEEE Trans. Ind. Informatics, May, 2024

Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets.

Jinhao Li, Changlong Wang, Yanru Zhang, Hao Wang

CoRR, 2024

Deep Reinforcement Learning for Voltage Control and Renewable Accommodation Using Spatial-Temporal Graph Information.

Jinhao Li, Ruichang Zhang, Hao Wang, Zhi Liu, Hongyang Lai, Yanru Zhang

CoRR, 2024

2023

Cross-Entropy-Based Approach to Multi-Objective Electric Vehicle Charging Infrastructure Planning.

Jinhao Li, Yu Hui Yuan, Qiushi Cui, Hao Wang

CoRR, 2023

Optimal Energy Storage Scheduling for Wind Curtailment Reduction and Energy Arbitrage: A Deep Reinforcement Learning Approach.

Jinhao Li, Changlong Wang, Hao Wang

CoRR, 2023

Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning.

Zhuo Wei, Frits de Nijs, Jinhao Li, Hao Wang

Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

2022

Deep Reinforcement Learning for Wind and Energy Storage Coordination in Wholesale Energy and Ancillary Service Markets.

Jinhao Li, Changlong Wang, Hao Wang

CoRR, 2022

2021

Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Spatial-Temporal Graph Information.

Jinhao Li, Ruichang Zhang, Hao Wang, Zhi Liu, Hongyang Lai, Yanru Zhang

CoRR, 2021

A Distributed Computation Offloading Strategy for Edge Computing Based on Deep Reinforcement Learning.

Hongyang Lai, Zhuocheng Yang, Jinhao Li, Celimuge Wu, Wugedele Bao

Proceedings of the Mobile Networks and Management - 11th EAI International Conference, 2021