Donghe Li
Orcid: 0000-0001-6976-0727
According to our database1,
Donghe Li authored at least 39 papers
between 2017 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
Safe and Scalable Multi-Agent Optimization for Autonomous Electric Taxi Dispatching via a Two-Stage Reinforcement Learning Framework.
IEEE Trans Autom. Sci. Eng., 2026
From Static Roles to Context-Aware Decisions: Integrating LLMs and RAG Into Access Control Frameworks for Power Systems.
IEEE Access, 2026
2025
Embedding Fluid Dynamics Into Neural Networks: Toward Interpretable Traffic Flow Prediction via Physics-Informed Learning.
IEEE Internet Things J., August, 2025
A Multi-Agent Framework for Automated Qinqiang Opera Script Generation Using Large Language Models.
CoRR, April, 2025
Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning.
CoRR, February, 2025
Disturbance-Compensation-Based Predictive Sliding Mode Control for Aero-Engine Networked Systems With Multiple Uncertainties.
IEEE Trans Autom. Sci. Eng., 2025
Charge or Pick Up? Optimizing E-Taxi Management: A Dual-Stage Heuristic Coordinated Reinforcement Learning Approach.
IEEE Trans Autom. Sci. Eng., 2025
An Attack-Defense Game-Based Reinforcement Learning Privacy-Preserving Method Against Inference Attack in Double Auction Market.
IEEE Trans Autom. Sci. Eng., 2025
A Study of Chinese Undergraduate Intentions to Purchase AIGT Educational Products: An Empirical Analysis Based on a Multi-Theoretical Model.
J. Inf. Technol. Educ. Innov. Pract., 2025
Human-in-the-Loop Battery Scheduling in Buildings via Intent-Guided Rule-Reinforcement Learning.
IEEE Internet Things J., 2025
Adversarial attacks on deep reinforcement learning applications in electric vehicle charging scheduling: A dual-stage attack framework.
Appl. Soft Comput., 2025
A Multi-Factor Authentication Method for Power Grid Terminals Based on Edge Computing Paradigm.
IEEE Access, 2025
Constraint-Guided Multi-Task Reinforcement Learning for Autonomous Electric Taxi Dispatch and Energy Management.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
Large Language Model Guided Gear-Shifting Optimization for Energy-Saving Rail Operations.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
Detection and Correction of Driver Mode Confusion Using LLM-Based Semantic Feedback in SAE Level 2 Automation.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
MisinfoBench: A Multi-Dimensional Benchmark for Evaluating LLMs' Resilience to Misinformation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
2024
Research on Privacy Issues in Smart Metering System: An Improved TCN-Based NILM Attack Method and Practical DRL-Based Rechargeable Battery Assisted Privacy Preserving Method.
IEEE Trans Autom. Sci. Eng., July, 2024
IEEE Trans Autom. Sci. Eng., January, 2024
A Location-Privacy-Aware Taxi-Hailing System: Adaptive Differential Privacy-Based Dynamic Incentive Method.
IEEE Internet Things J., January, 2024
Internet Things, 2024
Fast Multi-Class Vehicle Cooperative Path Optimization in Complex Urban V2X Transportation: A Novel Parallel Multi-Agent Reinforcement Learning Approach.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
TAMTL: A Novel Meta-Transfer Learning Approach for Fault Diagnosis of Rotating Machinery.
Proceedings of the 14th Asian Control Conference, 2024
Observer-based $H_{\infty}$ Sliding Mode Control for Networked Systems with Stochastic Communication Protocol and Packet Loss.
Proceedings of the 14th Asian Control Conference, 2024
2023
Bayesian-Based Inference Attack Method and Individual Differential Privacy-Based Auction Mechanism for Double Auction Market.
IEEE Trans Autom. Sci. Eng., April, 2023
Multistep Multiagent Reinforcement Learning for Optimal Energy Schedule Strategy of Charging Stations in Smart Grid.
IEEE Trans. Cybern., 2023
Multi Actor-Critic PPO: A Novel Reinforcement Learning Method for Intelligent Task and Charging Scheduling in Electric Freight Vehicles Management.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Towards Incentive for Electrical Vehicles Demand Response With Location Privacy Guaranteeing in Microgrids.
IEEE Trans. Dependable Secur. Comput., 2022
Where Am I Parking: Incentive Online Parking-Space Sharing Mechanism With Privacy Protection.
IEEE Trans Autom. Sci. Eng., 2022
2020
IEEE Trans. Inf. Forensics Secur., 2020
EV charging bidding by multi-DQN reinforcement learning in electricity auction market.
Neurocomputing, 2020
LoPrO: Location Privacy-preserving Online auction scheme for electric vehicles joint bidding and charging.
Future Gener. Comput. Syst., 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
IEEE Internet Things J., 2019
On Location Privacy-Preserving Online Double Auction for Electric Vehicles in Microgrids.
IEEE Internet Things J., 2019
2018
Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018
2017
A strategy-proof privacy-preserving double auction mechanism for electrical vehicles demand response in microgrids.
Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017
Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017
Towards double auction for assisting electric vehicles demand response in smart grid.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017