Chaojie Li

Orcid: 0000-0002-0557-1481

According to our database1, Chaojie Li authored at least 127 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

Finite-Time Nonconvex Optimization Using Time-Varying Dynamical Systems.
J. Optim. Theory Appl., October, 2024

Solving Two-stage Quadratic Multiobjective Problems via Optimality and Relaxations.
J. Optim. Theory Appl., October, 2024

DAMGAT-Based Interpretable Detection of False Data Injection Attacks in Smart Grids.
IEEE Trans. Smart Grid, July, 2024

Differentially Private Federated Learning for Multitask Objective Recognition.
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

FPE-LLM: Highly Intelligent Time-Series Forecasting and Language Interaction LLM in Energy Systems.
CoRR, 2024

Large Language Model Assisted Optimal Bidding of BESS in FCAS Market: An AI-agent based Approach.
CoRR, 2024

Large Language Model-aided Edge Learning in Distribution System State Estimation.
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

Convergences for robust bilevel polynomial programmes with applications.
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

Deep Reinforcement Learning for Real-Time Energy Management in Smart Home.
IEEE Syst. J., June, 2023

Privacy-Preserving Dynamic Average Consensus via Random Number Perturbation.
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

Two-Stage Community Energy Trading Under End-Edge-Cloud Orchestration.
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

Graph Reinforcement Learning for Securing Critical Loads by E-Mobility.
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

Batch Level Distributed Training of LSTM with Infinity Norm Gradient Flow.
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

A Recent Survey on Control for Synchronization and Passivity of Complex Networks.
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

Unified Multi-View Orthonormal Non-Negative Graph Based Clustering Framework.
CoRR, 2022

Coupling remote sensing and particle tracking to estimate trajectories in large water bodies.
Int. J. Appl. Earth Obs. Geoinformation, 2022

PPO-based Pricing Method for Shared Energy Storage System.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022

Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing.
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

Distributed Online Bandit Learning in Dynamic Environments Over Unbalanced Digraphs.
IEEE Trans. Netw. Sci. Eng., 2021

Robust Finite-Time Dynamic Average Consensus With Exponential Convergence Rates.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Semisupervised Deep Embedded Clustering with Adaptive Labels.
Sci. Program., 2021

A model-free distributed cooperative frequency control strategy for MT-HVDC systems using reinforcement learning method.
J. Frankl. Inst., 2021

Distributed Resource Allocation via Accelerated Saddle Point Dynamics.
IEEE CAA J. Autom. Sinica, 2021

Accurate Estimation on the State-of-Charge of Lithium-Ion Battery Packs.
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

Fuzzy Neighborhood Learning for Deep 3-D Segmentation of Point Cloud.
IEEE Trans. Fuzzy Syst., 2020

Cooperative Mining in Blockchain Networks With Zero-Determinant Strategies.
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

Predefined-time optimization for distributed resource allocation.
J. Frankl. Inst., 2020

Special issue: Theoretical analysis of deep learning editorial.
Neurocomputing, 2020

HIGnet: Hierarchical and Interactive Gate Networks for Item Recommendation.
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

A survey on distributed optimisation approaches and applications in smart grids.
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

DBRec: Dual-Bridging Recommendation via Discovering Latent Groups.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Second-Order Continuous-Time Algorithms for Economic Power Dispatch in Smart Grids.
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

Data-Driven Charging Strategy of PEVs Under Transformer Aging Risk.
IEEE Trans. Control. Syst. Technol., 2018

A projection neural network for optimal demand response in smart grid environment.
Neural Comput. Appl., 2018

Economic power dispatch in smart grids: a framework for distributed optimization and consensus dynamics.
Sci. China Inf. Sci., 2018

Hierarchical Distributed Coordination for Economic Dispatch.
Proceedings of the 27th IEEE International Symposium on Industrial Electronics, 2018

Integrating Demand Response and Renewable Energy In Wholesale Market.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Neural network with added inertia for linear complementarity problem.
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

Pulse-Modulated Intermittent Control in Consensus of Multiagent Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Efficient Computation for Sparse Load Shifting in Demand Side Management.
IEEE Trans. Smart Grid, 2017

Parallel and Distributed Computation for Dynamical Economic Dispatch.
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

An Inertial Projection Neural Network for Solving Variational Inequalities.
IEEE Trans. Cybern., 2017

Distributed Control of Networked Agent Systems: Theory and Applications.
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

A fixed time distributed optimization: A sliding mode perspective.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Distributed consensus based optimization in dynamical economic dispatch.
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

Distributed Event-Triggered Scheme for Economic Dispatch in Smart Grids.
IEEE Trans. Ind. Informatics, 2016

Asynchronous impulsive containment control in switched multi-agent systems.
Inf. Sci., 2016

The Optimal Distribution of Electric-Vehicle Chargers across a City.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Cooperative Distributed Optimization in Multiagent Networks With Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2015

Networked optimization for demand side management based on non-cooperative game.
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

Distributed consensus strategy for economic power dispatch in a smart grid.
Proceedings of the 10th Asian Control Conference, 2015

2014
A Recurrent Neural Network for Solving Bilevel Linear Programming Problem.
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 network for solving convex quadratic bilevel programming problems.
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

Improved Weighted Average Prediction for Multi-Agent Networks.
Circuits Syst. Signal Process., 2014

Optimal economic dispatch by fast distributed gradient.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

2013
Bogdanov-Takens Singularity in Tri-Neuron Network With Time Delay.
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

Stability of Hopfield neural networks with time delays and variable-time impulses.
Neural Comput. Appl., 2013

2012
Canonical Primal-Dual Method for Solving Non-convex Minimization Problems
CoRR, 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

Impulsive effects on stability of high-order BAM neural networks with time delays.
Neurocomputing, 2011

Exponential stability of impulsive high-order Hopfield-type neural networks with delays and reaction-diffusion.
Int. J. Comput. Math., 2011


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