Chaojie Li
Orcid: 0000-0002-0557-1481
According to our database1,
Chaojie Li
authored at least 126 papers
between 2011 and 2024.
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Bibliography
2024
Accelerating Communication-Efficient Federated Multi-Task Learning With Personalization and Fairness.
IEEE Trans. Parallel Distributed Syst., November, 2024
Interpretable Traffic Accident Prediction: Attention Spatial-Temporal Multi-Graph Traffic Stream Learning Approach.
IEEE Trans. Intell. Transp. Syst., November, 2024
Hierarchy relaxations for robust equilibrium constrained polynomial problems and applications to electric vehicle charging scheduling.
J. Glob. Optim., November, 2024
Familiar Paths are the Best: Incentive Mechanism Based on Path-Dependence Considering Space-Time Coverage in Crowdsensing.
IEEE Trans. Mob. Comput., October, 2024
J. Optim. Theory Appl., October, 2024
J. Optim. Theory Appl., October, 2024
IEEE Trans. Smart Grid, July, 2024
IEEE Trans. Ind. Informatics, May, 2024
Online Distributed Stochastic Gradient Algorithm for Nonconvex Optimization With Compressed Communication.
IEEE Trans. Autom. Control., February, 2024
Distributed asynchronous non-smooth optimization with coupled equality and bounded constraints.
Neural Comput. Appl., February, 2024
Adaptive Horizontal Federated Learning-Based Demand Response Baseline Load Estimation.
IEEE Trans. Smart Grid, 2024
Fast Gradient Algorithm with Dry-like Friction and Nonmonotone Line Search for Nonconvex Optimization Problems.
SIAM J. Optim., 2024
Ultra-short-term wind power prediction model based on fixed scale dual mode decomposition and deep learning networks.
Eng. Appl. Artif. Intell., 2024
Large Language Model Assisted Optimal Bidding of BESS in FCAS Market: An AI-agent based Approach.
CoRR, 2024
CoRR, 2024
Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks.
CoRR, 2024
VI Trajectory Generalization Across Smart Meter Edge Clients using Federated Learning.
Proceedings of the 16th International Conference on Computer and Automation Engineering, 2024
2023
GenAI4Sustainability: GPT and Its Potentials For Achieving UN's Sustainable Development Goals.
IEEE CAA J. Autom. Sinica, December, 2023
Deep Reinforcement Learning-Based Explainable Pricing Policy for Virtual Storage Rental Service.
IEEE Trans. Smart Grid, November, 2023
Predicting Best-Selling New Products in a Major Promotion Campaign Through Graph Convolutional Networks.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Data-Driven State Transition Algorithm for Fuzzy Chance-Constrained Dynamic Optimization.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Optim. Methods Softw., September, 2023
Fixed-Time Gradient Dynamics With Time-Varying Coefficients for Continuous-Time Optimization.
IEEE Trans. Autom. Control., July, 2023
An Explainable Data-Driven Framework for Fuel Cell Aging Prediction Under Dynamic Condition.
IEEE Trans. Ind. Electron., June, 2023
IEEE Syst. J., June, 2023
IEEE Trans. Circuits Syst. II Express Briefs, April, 2023
Federated learning for interpretable short-term residential load forecasting in edge computing network.
Neural Comput. Appl., April, 2023
A Data-Driven Convex Model for Hybrid Microgrid Operation With Bidirectional Converters.
IEEE Trans. Smart Grid, March, 2023
A Data-Driven Joint Chance-Constrained Game for Renewable Energy Aggregators in the Local Market.
IEEE Trans. Smart Grid, March, 2023
Electric Vehicles Charging Dispatch and Optimal Bidding for Frequency Regulation Based on Intuitionistic Fuzzy Decision Making.
IEEE Trans. Fuzzy Syst., February, 2023
IEEE Internet Things J., February, 2023
When Deep Normal Behavior Models Meet Fault Samples: A Generalized Wind Turbine Anomaly Detection Scheme.
IEEE Trans. Instrum. Meas., 2023
Data Augmentation Fault Diagnosis Method Based on Residual Mixed Self-Attention for Rolling Bearings Under Imbalanced Samples.
IEEE Trans. Instrum. Meas., 2023
Guest Editorial: Introduction to Special Issue on "Cloud-Edge-End Orchestrated Computing for Smart Grid".
IEEE Trans. Cloud Comput., 2023
Accelerated Primal-Dual Mirror Dynamics for Centralized and Distributed Constrained Convex Optimization Problems.
J. Mach. Learn. Res., 2023
Private Reversible Aging-Aware Fuel Cell Prognostic: A Federated Multitask Learning Approach.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Asynchronous Federated Learning for Real-Time Multiple Licence Plate Recognition Through Semantic Communication.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Databases Theory and Applications, 2023
2022
Transactive Energy Sharing in a Microgrid via an Enhanced Distributed Adaptive Robust Optimization Approach.
IEEE Trans. Smart Grid, 2022
A Multiple Gradient Descent Design for Multi-Task Learning on Edge Computing: Multi-Objective Machine Learning Approach.
IEEE Trans. Netw. Sci. Eng., 2022
IEEE Trans. Netw. Sci. Eng., 2022
An Event-Triggered Approach for Gradient Tracking in Consensus-Based Distributed Optimization.
IEEE Trans. Netw. Sci. Eng., 2022
EILPR: Toward End-to-End Irregular License Plate Recognition Based on Automatic Perspective Alignment.
IEEE Trans. Intell. Transp. Syst., 2022
Interpretable Memristive LSTM Network Design for Probabilistic Residential Load Forecasting.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022
Landslide Displacement Prediction Based on a Two-Stage Combined Deep Learning Model under Small Sample Condition.
Remote. Sens., 2022
Distributed generalized Nash equilibrium seeking: A singular perturbation-based approach.
Neurocomputing, 2022
CoRR, 2022
Coupling remote sensing and particle tracking to estimate trajectories in large water bodies.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Impact of Mathematical Norms on Convergence of Gradient Descent Algorithms for Deep Neural Networks Learning.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
2021
Global Optimization: A Distributed Compensation Algorithm and its Convergence Analysis.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Data-Driven Planning of Electric Vehicle Charging Infrastructure: A Case Study of Sydney, Australia.
IEEE Trans. Smart Grid, 2021
IEEE Trans. Netw. Sci. Eng., 2021
IEEE Trans. Circuits Syst. II Express Briefs, 2021
A model-free distributed cooperative frequency control strategy for MT-HVDC systems using reinforcement learning method.
J. Frankl. Inst., 2021
IEEE CAA J. Autom. Sinica, 2021
Proceedings of the Broadband Communications, Networks, and Systems, 2021
2020
Group Consensus for Heterogeneous Multiagent Systems in the Competition Networks With Input Time Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2020
IEEE Trans. Fuzzy Syst., 2020
IEEE Trans. Cybern., 2020
Robust Second-Order Consensus Using a Fixed-Time Convergent Sliding Surface in Multiagent Systems.
IEEE Trans. Cybern., 2020
Average Quasi-Consensus Algorithm for Distributed Constrained Optimization: Impulsive Communication Framework.
IEEE Trans. Cybern., 2020
J. Frankl. Inst., 2020
IEEE Intell. Syst., 2020
2019
A Continuous-Time Algorithm for Distributed Optimization Based on Multiagent Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Consensus-Based Distributed Coordination Between Economic Dispatch and Demand Response.
IEEE Trans. Smart Grid, 2019
Branch-Wise Parallel Successive Algorithm for Online Voltage Regulation in Distribution Networks.
IEEE Trans. Smart Grid, 2019
Distributed Power Management for Dynamic Economic Dispatch in the Multimicrogrids Environment.
IEEE Trans. Control. Syst. Technol., 2019
Synchronization of single-degree-of-freedom oscillators via neural network based on fixed-time terminal sliding mode control scheme.
Neural Comput. Appl., 2019
Nonnegative matrix factorization algorithms based on the inertial projection neural network.
Neural Comput. Appl., 2019
J. Control. Decis., 2019
Predicting lightning outages of transmission lines using generalized regression neural network.
Appl. Soft Comput., 2019
An Intelligent Faulted Line Diagnosis Method in Multi-terminal Power Networks via IEDs.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
IEEE Trans. Syst. Man Cybern. Syst., 2018
Operating Expense Optimization for EVs in Multiple Depots and Charge Stations Environment Using Evolutionary Heuristic Method.
IEEE Trans. Smart Grid, 2018
Distributed Optimal Consensus Over Resource Allocation Network and Its Application to Dynamical Economic Dispatch.
IEEE Trans. Neural Networks Learn. Syst., 2018
Noncooperative Game-Based Distributed Charging Control for Plug-In Electric Vehicles in Distribution Networks.
IEEE Trans. Ind. Informatics, 2018
Optimal Automatic Generation Control of an Interconnected Power System Under Network Constraints.
IEEE Trans. Ind. Electron., 2018
IEEE Trans. Control. Syst. Technol., 2018
Neural Comput. Appl., 2018
Economic power dispatch in smart grids: a framework for distributed optimization and consensus dynamics.
Sci. China Inf. Sci., 2018
Proceedings of the 27th IEEE International Symposium on Industrial Electronics, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 15th International Conference on Control, 2018
2017
Adaptive Neural-Fuzzy Sliding-Mode Fault-Tolerant Control for Uncertain Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2017
IEEE Trans. Syst. Man Cybern. Syst., 2017
IEEE Trans. Smart Grid, 2017
IEEE Trans. Smart Grid, 2017
Risk-Averse Energy Trading in Multienergy Microgrids: A Two-Stage Stochastic Game Approach.
IEEE Trans. Ind. Informatics, 2017
Hierarchical Distributed Scheme for Demand Estimation and Power Reallocation in a Future Power Grid.
IEEE Trans. Ind. Informatics, 2017
IEEE Trans. Cybern., 2017
J. Control. Sci. Eng., 2017
Frequency regulation using optimal demand and governor response in a deregulated environment.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
The optimal EV charging/discharging strategy in smart grid from a perspective of sharing-economy.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017
2016
A Generalized Hopfield Network for Nonsmooth Constrained Convex Optimization: Lie Derivative Approach.
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Ind. Informatics, 2016
Inf. Sci., 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
IEEE Trans. Syst. Man Cybern. Syst., 2015
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015
Network constrained optimal automatic generation control for a two area power System.
Proceedings of the IECON 2015, 2015
Proceedings of the 10th Asian Control Conference, 2015
2014
IEEE Trans. Neural Networks Learn. Syst., 2014
Impulsive synchronization schemes of stochastic complex networks with switching topology: Average time approach.
Neural Networks, 2014
Neural network for solving Nash equilibrium problem in application of multiuser power control.
Neural Networks, 2014
Neural Networks, 2014
A feedback neural network for solving convex quadratic bi-level programming problems.
Neural Comput. Appl., 2014
Impulsive control for synchronizing delayed discrete complex networks with switching topology.
Neural Comput. Appl., 2014
Circuits Syst. Signal Process., 2014
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
Exponential stability of stochastic high-order BAM neural networks with time delays and impulsive effects.
Neural Comput. Appl., 2013
Neural Comput. Appl., 2013
2012
Impulsive Synchronization of State Delayed Discrete Complex Networks with Switching Topology.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Global Minimizer of Large Scale Stochastic Rosenbrock Function: Canonical Duality Approach.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
2011
Chaos control and synchronization via a novel chatter free sliding mode control strategy.
Neurocomputing, 2011
Neurocomputing, 2011
Exponential stability of impulsive high-order Hopfield-type neural networks with delays and reaction-diffusion.
Int. J. Comput. Math., 2011