Yushuai Li
Orcid: 0000-0002-3043-3777
According to our database1,
Yushuai Li
authored at least 57 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
CoRR, August, 2025
MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version).
CoRR, July, 2025
Self-Determination Theory and Deep Reinforcement Learning for Personalized Energy Trading in Smart Grid.
IEEE Trans. Syst. Man Cybern. Syst., June, 2025
SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training.
Proc. ACM Manag. Data, June, 2025
Joint V2V Group Association and Transmission Power Control in Federated Vehicular Networks.
IEEE Internet Things J., June, 2025
Dynamic Modeling and Analysis for Electricity-Gas Systems With Electric-Driven Compressors.
IEEE Trans. Smart Grid, May, 2025
UniTE: A Survey and Unified Pipeline for Pre-Training Spatiotemporal Trajectory Embeddings.
IEEE Trans. Knowl. Data Eng., March, 2025
SimRN: Trajectory Similarity Learning in Road Networks based on Distributed Deep Reinforcement Learning.
Proc. VLDB Endow., March, 2025
Distributed Resilient Energy Management for Seaport Microgrid Against Stealthy Attacks With Limited Security Defense Resource.
IEEE Trans. Cybern., February, 2025
IEEE Trans. Netw. Sci. Eng., 2025
A Bionic Data-Driven Approach for Long-Distance Underwater Navigation With Anomaly Resistance.
IEEE Trans. Instrum. Meas., 2025
Exploring the Generalizability of Geomagnetic Navigation: A Deep Reinforcement Learning Approach With Policy Distillation.
IEEE Trans. Instrum. Meas., 2025
Digital Twin Assisted Economic Dispatch for Energy Internet With Information Entropy.
IEEE Trans Autom. Sci. Eng., 2025
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025
2024
An Information Theory-Based Locational Marginal Pricing Solution for Low-Carbon Power Systems.
IEEE Trans. Ind. Informatics, December, 2024
Adaptive Robust Tracking Control With Active Learning for Linear Systems With Ellipsoidal Bounded Uncertainties.
IEEE Trans. Autom. Control., November, 2024
Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification.
Proc. VLDB Endow., October, 2024
Price-Matching-Based Regional Energy Market With Hierarchical Reinforcement Learning Algorithm.
IEEE Trans. Ind. Informatics, September, 2024
Adaptive Command Filtered Control for a Class of Random Nonlinear Systems Under Model-Based Event-Triggered Control Design.
IEEE Trans. Syst. Man Cybern. Syst., August, 2024
A Privacy-Preserving Distributed Economic Dispatch Method for Integrated Port Microgrid and Computing Power Network.
IEEE Trans. Ind. Informatics, August, 2024
Distributed Resilient Initialization-Free Jacobi Descent Algorithm for Constrained Optimization Against DoS Attacks.
IEEE Trans Autom. Sci. Eng., July, 2024
DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training.
Proc. VLDB Endow., July, 2024
IEEE Trans. Ind. Informatics, June, 2024
FedAPT: Joint Adaptive Parameter Freezing and Resource Allocation for Communication-Efficient Federated Vehicular Networks.
IEEE Internet Things J., June, 2024
Event-Triggered Neuro-Adaptive Fixed-Time Control for Nonlinear Switched and Constrained Systems: An Initial Condition-Independent Method.
IEEE Trans. Circuits Syst. I Regul. Pap., May, 2024
Pricing Game and Blockchain for Electricity Data Trading in Low-Carbon Smart Energy Systems.
IEEE Trans. Ind. Informatics, April, 2024
IEEE Trans. Intell. Veh., February, 2024
Switched Surplus-Based Distributed Security Dispatch for Smart Grid With Persistent Packet Loss.
IEEE Internet Things J., February, 2024
Mixed H<sub>2</sub>/H<sub>∞</sub> Control for Nonlinear Closed-Loop Stackelberg Games With Application to Power Systems.
IEEE Trans Autom. Sci. Eng., January, 2024
IEEE Trans. Netw. Sci. Eng., 2024
Long-distance Geomagnetic Navigation in GNSS-denied Environments with Deep Reinforcement Learning.
CoRR, 2024
CoRR, 2024
Proceedings of the European Control Conference, 2024
2023
Adaptive-Discretization Based Dynamic Optimal Energy Flow for the Heat-Electricity Integrated Energy Systems With Hybrid AC/DC Power Sources.
IEEE Trans Autom. Sci. Eng., July, 2023
Distributed Hybrid-Triggering-Based Secure Dispatch Approach for Smart Grid Against DoS Attacks.
IEEE Trans. Syst. Man Cybern. Syst., June, 2023
Fully Distributed Dynamic Edge-Event-Triggered Current Sharing Control Strategy for Multibus DC Microgrids With Power Coupling.
IEEE Trans. Ind. Informatics, April, 2023
Privacy-preserving transactive energy systems: Key topics and open research challenges.
CoRR, 2023
Adaptive robust tracking control with active learning for linear systems with ellipsoidal bounded uncertainties.
CoRR, 2023
A Prediction Based Resource Reservation Algorithm for Service Handover in Edge Computing.
Proceedings of the 10th IEEE International Conference on Cyber Security and Cloud Computing, 2023
2022
Distributed Resilient Double-Gradient-Descent Based Energy Management Strategy for Multi-Energy System Under DoS Attacks.
IEEE Trans. Netw. Sci. Eng., 2022
IEEE Trans. Ind. Informatics, 2022
A Distributed Robust Economic Dispatch Strategy for Integrated Energy System Considering Cyber-Attacks.
IEEE Trans. Ind. Informatics, 2022
A Switched Newton-Raphson-Based Distributed Energy Management Algorithm for Multienergy System Under Persistent DoS Attacks.
IEEE Trans Autom. Sci. Eng., 2022
Neurocomputing, 2022
2021
A Distributed Double-Newton Descent Algorithm for Cooperative Energy Management of Multiple Energy Bodies in Energy Internet.
IEEE Trans. Ind. Informatics, 2021
2020
Double-Mode Energy Management for Multi-Energy System via Distributed Dynamic Event-Triggered Newton-Raphson Algorithm.
IEEE Trans. Smart Grid, 2020
Distributed Power Management for Networked AC-DC Microgrids With Unbalanced Microgrids.
IEEE Trans. Ind. Informatics, 2020
A distributed Newton-Raphson-based coordination algorithm for multi-agent optimization with discrete-time communication.
Neural Comput. Appl., 2020
2019
Distributed Optimal Economic Dispatch for Microgrids Considering Communication Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2019
IEEE Trans. Ind. Informatics, 2019
Event-Triggered-Based Distributed Cooperative Energy Management for Multienergy Systems.
IEEE Trans. Ind. Informatics, 2019
Distributed Optimal Energy Management for Microgrids in the Presence of Time-Varying Communication Delays.
IEEE Access, 2019
2018
Synchronization analysis for coupled static neural networks with stochastic disturbance and interval time-varying delay.
Neural Comput. Appl., 2018
Distributed multi-agent optimization via event-triggered based continuous-time Newton-Raphson algorithm.
Neurocomputing, 2018
Distributed Optimization for Economic Dispatch in Microgrid with Time Delays and Power Losses.
Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018
2017
IEEE Trans. Ind. Informatics, 2017