Yujian Ye
Orcid: 0000-0002-9278-9218
According to our database1,
Yujian Ye authored at least 48 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
Quantum Mach. Intell., June, 2026
Constrained Semi-MDP Formulation and Perception-Enhanced Safe Policy Learning for Efficient Dynamic Task Scheduling of Data Centers.
IEEE Trans. Smart Grid, March, 2026
Semisupervised Cross-Domain Capacity Prediction for Batteries via Granular Modeling and Confidence Aware Pseudolabeling.
IEEE Trans. Ind. Informatics, March, 2026
Dynamic PMU Configuration for Stealthy Multi-Snapshot FDIA Mitigation: Enhancing Security in Hybrid-Measurement-Based State Estimation in Power Systems.
IEEE Trans. Smart Grid, January, 2026
Prior-Knowledge-Free Data Tampering on Power System State Estimation: A Physics-Constrained Generative Adversarial Framework.
IEEE Internet Things J., 2026
Dynamic Spatiotemporal Measurement Uncertainty-Aware Detection for Robust Power System State Estimation Against Stealthy FDIA.
IEEE Internet Things J., 2026
M2WLLM: Multi-modal multi-task ultra-short-term wind power prediction algorithm based on large language model.
Inf. Fusion, 2026
2025
Network-Constrained P2P Trading: A Safety-Aware Decentralized Multi-Agent Reinforcement Learning Approach.
IEEE Trans. Smart Grid, November, 2025
Miniature Real-Time Compact Deep Neural Network With Zero-Shot Neural Architecture Search for Lithium-Ion Battery Fault Diagnosis.
IEEE Trans. Ind. Informatics, August, 2025
Advancing Privacy-Preserving Wind Generation Forecasts With Selective Spatial-Temporal Dependencies Extraction, Encryption and Sharing.
IEEE Trans. Smart Grid, July, 2025
Carbon-Aware Peer-to-Peer Energy Trading in an Unbalanced Distribution Network via a Nash Equilibrium Discovery Deep Reinforcement Learning Approach.
IEEE Trans. Smart Grid, July, 2025
Reliability and Comfort-Aware Operation Optimization for Hydrogen-Based Building Energy Systems in Off-Grid Mode.
IEEE Trans. Smart Grid, July, 2025
Event-Triggered Model-Free Adaptive Formation Constrained Control for Nonlinear Heterogeneous Multiagent Systems.
IEEE Trans. Cybern., June, 2025
HMPC-assisted Adversarial Inverse Reinforcement Learning for Smart Home Energy Management.
CoRR, June, 2025
M2WLLM: Multi-Modal Multi-Task Ultra-Short-term Wind Power Prediction Algorithm Based on Large Language Model.
CoRR, June, 2025
Multiagent-Based Model Predictive Control of Parallel PV/BESS Electric Springs in Microgrids.
IEEE Trans. Ind. Informatics, May, 2025
Special Section on Integrated Operation, Planning, and Business Paradigm for Coupled Energy, Transportation, and Information Networks.
IEEE Trans. Smart Grid, January, 2025
Intelligent Fault Diagnosis for Battery Packs Using FCE-GCN: Addressing the Challenges of Class Imbalance and Feature Similarity.
IEEE Trans. Instrum. Meas., 2025
A Semi-Supervised Enhanced Fault Diagnosis Algorithm for Complex Equipment Assisted by Digital Multitwins.
IEEE Trans. Instrum. Meas., 2025
Coordinated Operation Optimization of Grid-Interactive Residential Buildings Based on Neural Network-Assisted Hierarchical Model Predictive Control.
IEEE Trans Autom. Sci. Eng., 2025
Intelligent fault diagnosis for unbalanced battery data using adversarial domain expansion and enhanced stochastic configuration networks.
Inf. Sci., 2025
Joint Differentiated Pricing and Energy-Carbon Trading for Electric Vehicle Charging Stations: An ADMM-Based Nash Bargaining Solution.
IEEE Internet Things J., 2025
BLAH: Enhancing Small Object Detection via a Bi-Level Interactive Head with Multi-Level Self-Attention.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025
2024
Fast Resilience Assessment of Integrated Electricity-Gas Systems Considering Non-Convex Gas Flow Dynamics.
IEEE Trans. Smart Grid, July, 2024
Multiagent Deep Reinforcement Learning for Electric Vehicle Fast Charging Station Pricing Game in Electricity-Transportation Nexus.
IEEE Trans. Ind. Informatics, April, 2024
Mobile robot sequential decision making using a deep reinforcement learning hyper-heuristic approach.
Expert Syst. Appl., 2024
Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing.
CoRR, 2024
Proceedings of the 14th International Symposium on Communication Systems, 2024
Proceedings of the 14th International Symposium on Communication Systems, 2024
Experimental Evaluation of ISAC in Distributed and Centralized Multiuser-MIMO Systems.
Proceedings of the IEEE Conference on Standards for Communications and Networking, 2024
Evolution-Assisted Deep Reinforcement Learning for Fast Charging Station Coordinated Operation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Safe Deep Reinforcement Learning for Microgrid Energy Management in Distribution Networks With Leveraged Spatial-Temporal Perception.
IEEE Trans. Smart Grid, September, 2023
Transition to Digitalized Paradigms for Security Control and Decentralized Electricity Market.
Proc. IEEE, July, 2023
Multi-Agent Deep Reinforcement Learning for Coordinated Energy Trading and Flexibility Services Provision in Local Electricity Markets.
IEEE Trans. Smart Grid, March, 2023
dataset for "Towards Risk-Aware Real-Time Security Constrained Economic Dispatch: A Tailored Deep Reinforcement Learning Approach".
Dataset, March, 2023
2022
Dataset, May, 2022
IEEE Trans. Smart Grid, 2022
A Non-Convex and Non-Iterative Approach for Fast Vulnerability Analysis of Smart Grids.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022
2021
A Scalable Privacy-Preserving Multi-Agent Deep Reinforcement Learning Approach for Large-Scale Peer-to-Peer Transactive Energy Trading.
IEEE Trans. Smart Grid, 2021
Computationally Efficient Pricing and Benefit Distribution Mechanisms for Incentivizing Stable Peer-to-Peer Energy Trading.
IEEE Internet Things J., 2021
2020
Model-Free Real-Time Autonomous Control for a Residential Multi-Energy System Using Deep Reinforcement Learning.
IEEE Trans. Smart Grid, 2020
IEEE Trans. Smart Grid, 2020
Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Smart Grid, 2019
Multi-Period and Multi-Spatial Equilibrium Analysis in Imperfect Electricity Markets: A Novel Multi-Agent Deep Reinforcement Learning Approach.
IEEE Access, 2019
2016
Appl. Math. Lett., 2016
2014
Appl. Math. Comput., 2014
Proceedings of the 2014 Power Systems Computation Conference, 2014