Jinhao Li

16 papers A* 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multi-View Multi-Timescale Hypergraph-Empowered Spatiotemporal Framework for EV Charging Forecasting. IEEE Trans. Smart Grid Jinhao Li, Hao Wang
2026	J	`jnl`	A Unified Variational Imputation Framework for Electric Vehicle Charging Data Using Retrieval-Augmented Language Model. CoRR Jinhao Li, Hao Wang
2025	J	`jnl`	A Multi-View Multi-Timescale Hypergraph-Empowered Spatiotemporal Framework for EV Charging Forecasting. CoRR Jinhao Li, Hao Wang
2025	J	`jnl`	MUSEKG: A Knowledge Graph Over Museum Collections. CoRR Jinhao Li, Jianzhong Qi, Soyeon Caren Han, Eun-Jung Holden
2025	A*	`conf`	Mitigating Long-tail Distribution in Oracle Bone Inscriptions: Dataset, Model, and Benchmark. ACM Multimedia Jinhao Li, Zijian Chen, Runze Jiang, Tingzhu Chen, Changbo Wang, Guangtao Zhai
2024	J	`jnl`	Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets. CoRR Jinhao Li, Changlong Wang, Hao Wang
2024	J	`jnl`	Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets. IEEE Trans. Ind. Informatics Jinhao Li, Changlong Wang, Hao Wang
2024	J	`jnl`	Deep Reinforcement Learning for Voltage Control and Renewable Accommodation Using Spatial-Temporal Graph Information. CoRR Jinhao Li, Ruichang Zhang, Hao Wang, Zhi Liu, Hongyang Lai, Yanru Zhang
2024	J	`jnl`	Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets. CoRR Jinhao Li, Changlong Wang, Yanru Zhang, Hao Wang
2023	J	`jnl`	Cross-Entropy-Based Approach to Multi-Objective Electric Vehicle Charging Infrastructure Planning. CoRR Jinhao Li, Yu Hui Yuan, Qiushi Cui, Hao Wang
2023	—	`conf`	Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning. e-Energy Zhuo Wei, Frits de Nijs, Jinhao Li, Hao Wang
2023	J	`jnl`	Optimal Energy Storage Scheduling for Wind Curtailment Reduction and Energy Arbitrage: A Deep Reinforcement Learning Approach. CoRR Jinhao Li, Changlong Wang, Hao Wang
2022	J	`jnl`	Deep Reinforcement Learning for Wind and Energy Storage Coordination in Wholesale Energy and Ancillary Service Markets. CoRR Jinhao Li, Changlong Wang, Hao Wang
2022	J	`jnl`	Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning. CoRR Zhuo Wei, Frits de Nijs, Jinhao Li, Hao Wang
2021	—	`conf`	A Distributed Computation Offloading Strategy for Edge Computing Based on Deep Reinforcement Learning. MONAMI Hongyang Lai, Zhuocheng Yang, Jinhao Li, Celimuge Wu, Wugedele Bao
2021	J	`jnl`	Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Spatial-Temporal Graph Information. CoRR Jinhao Li, Ruichang Zhang, Hao Wang, Zhi Liu, Hongyang Lai, Yanru Zhang