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Luolin Xiong

A Two-Level Energy Management Strategy for Multi-Microgrid Systems With Interval Prediction and Reinforcement Learning
2022 · Luolin Xiong, Yang Tang, et al. · IEEE Transactions on Circuits and Systems I Regular Papers · 72
DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models
2025 · Luolin Xiong, Haofen Wang, et al. · IEEE/CAA Journal of Automatica Sinica · 43
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Meta-Reinforcement Learning-Based Transferable Scheduling Strategy for Energy Management
2023 · Luolin Xiong, Yang Tang, et al. · IEEE Transactions on Circuits and Systems I Regular Papers · 35
Molecular Joint Representation Learning via Multi-Modal Information of SMILES and Graphs
2023 · Tianyu Wu, Yang Tang, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 33
Interpretable Deep Reinforcement Learning for Optimizing Heterogeneous Energy Storage Systems
2023 · Luolin Xiong, Yang Tang, et al. · IEEE Transactions on Circuits and Systems I Regular Papers · 25
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Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement Learning
2024 · Wenzhou Lv, Tianyu Wu, et al. · IEEE Transactions on Biomedical Engineering · 14
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A home energy management approach using decoupling value and policy in reinforcement learning
2023 · Luolin Xiong, Yang Tang, et al. · Frontiers of Information Technology & Electronic Engineering · 10
Localization of False Data Injection Attacks in Smart Grids With Renewable Energy Integration via Spatiotemporal Network
2024 · Yang Yu, Chensheng Liu, et al. · IEEE Internet of Things Journal · 9
DRL-Based Distributed Coordination of ISO and DSOs in Bi-Level Electricity Markets
2025 · Luolin Xiong, Anshul Goyal, et al. · IEEE Transactions on Industrial Informatics · 6
Offline Deep Reinforcement Learning-Based Home Energy Management Systems With Heterogeneous EV Charging Load Models
2025 · Luolin Xiong, Yang Tang, et al. · IEEE Transactions on Circuits and Systems I Regular Papers · 5
HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning
2026 · Zejiao Liu, Junqi Tu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2
Artificial Intelligence for Power Systems with Renewable Energy
2025 · Luolin Xiong, Yang Tang, et al. · Engineering · 2
Molecular Joint Representation Learning via Multi-modal Information
2022 · Wu, Tianyu, Tang, Yang, et al. · arXiv (Cornell University) · 2
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Optimization of renewable-integrated energy systems via artificial intelligence: Review and perspective
2026 · Shuoan Chen, Luolin Xiong, et al. · Cyber-Physical Energy Systems · 1
SAMSGL: Series-aligned multi-scale graph learning for spatiotemporal forecasting
2024 · Xiaobei Zou, Luolin Xiong, et al. · Chaos An Interdisciplinary Journal of Nonlinear Science · 1
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Physics-Informed Data Augmentation for Cyber-Physical Power Systems under Mixed Incompleteness Patterns
2026 · Xing Wu, Luolin Xiong, et al. · Chinese Control and Decision Conference (CCDC)
HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning
2026 · Association for Artificial Intelligence 2026, Hong, Yitian, et al. · Underline Science Inc.
DeltaDiffusion: Modeling Temporal Deltas With Diffusion Model for Time Series Probabilistic Forecasting
2026 · Yang Yu, Kexuan Zhang, et al. · IEEE Transactions on Emerging Topics in Computational Intelligence
Toward a Self-Evolving Optimization Agent for Industrial Scheduling
2026 · Tianao Kang, Luolin Xiong, et al. · ENGINEERING Artificial Intelligence
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HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning
2025 · Liu, Zejiao, Tu, Junqi, et al. · arXiv (Cornell University)
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A survey on temporal network dynamics with incomplete data
2022 · Xing Wu, Shuai Mao, et al. · Electronic Research Archive
Works count: 22
Citation count: 260
H-index: 8
I10-index: 7
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