Luolin Xiong

According to our database, Luolin Xiong authored at least 14 papers between 2022 and 2026.

Collaborative distances:

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

2026

Offline Deep Reinforcement Learning-Based Home Energy Management Systems With Heterogeneous EV Charging Load Models.

Luolin Xiong, Yang Tang, Kankar Bhattacharya, Mo-Yuen Chow, Feng Qian

IEEE Trans. Circuits Syst. I Regul. Pap., April, 2026

HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning.

Zejiao Liu, Junqi Tu, Yitian Hong, Luolin Xiong, Yaochu Jin, Yang Tang, Fangfei Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

DRL-Based Distributed Coordination of ISO and DSOs in Bi-Level Electricity Markets.

Luolin Xiong, Anshul Goyal, Kankar Bhattacharya, Yang Tang, Zhaoyang Dong, Feng Qian, Venkata Balaji Thummalacherla

IEEE Trans. Ind. Informatics, August, 2025

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models.

Luolin Xiong, Haofen Wang, Xi Chen, Lu Sheng, Yun Xiong, Jingping Liu, Yanghua Xiao, Huajun Chen, Qing-Long Han, Yang Tang

IEEE CAA J. Autom. Sinica, May, 2025

DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting.

Xiaobei Zou, Luolin Xiong, Kexuan Zhang, Cesare Alippi, Yang Tang

CoRR, April, 2025

Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement Learning.

Wenzhou Lv, Tianyu Wu, Luolin Xiong, Liang Wu, Jian Zhou, Yang Tang, Feng Qian

IEEE Trans. Biomed. Eng., January, 2025

2024

Localization of False Data Injection Attacks in Smart Grids With Renewable Energy Integration via Spatiotemporal Network.

Yang Yu, Chensheng Liu, Luolin Xiong, Yang Tang, Feng Qian

IEEE Internet Things J., December, 2024

Interpretable Deep Reinforcement Learning for Optimizing Heterogeneous Energy Storage Systems.

Luolin Xiong, Yang Tang, Chensheng Liu, Shuai Mao, Ke Meng, Zhaoyang Dong, Feng Qian

IEEE Trans. Circuits Syst. I Regul. Pap., February, 2024

2023

A home energy management approach using decoupling value and policy in reinforcement learning.

Luolin Xiong, Yang Tang, Chensheng Liu, Shuai Mao, Ke Meng, Zhaoyang Dong, Feng Qian

Frontiers Inf. Technol. Electron. Eng., September, 2023

Meta-Reinforcement Learning-Based Transferable Scheduling Strategy for Energy Management.

Luolin Xiong, Yang Tang, Chensheng Liu, Shuai Mao, Ke Meng, Zhaoyang Dong, Feng Qian

IEEE Trans. Circuits Syst. I Regul. Pap., April, 2023

Molecular Joint Representation Learning via Multi-Modal Information of SMILES and Graphs.

Tianyu Wu, Yang Tang, Qiyu Sun, Luolin Xiong

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting.

Xiaobei Zou, Luolin Xiong, Yang Tang, Jürgen Kurths

CoRR, 2023

2022

A Two-Level Energy Management Strategy for Multi-Microgrid Systems With Interval Prediction and Reinforcement Learning.

Luolin Xiong, Yang Tang, Shuai Mao, Hangyue Liu, Ke Meng, Zhaoyang Dong, Feng Qian

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Molecular Joint Representation Learning via Multi-modal Information.

Tianyu Wu, Yang Tang, Qiyu Sun, Luolin Xiong

CoRR, 2022