Guangchen Wang
Orcid: 0000-0001-6299-0327
According to our database1,
Guangchen Wang
authored at least 50 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Indefinite Linear-Quadratic Optimal Control of Mean-Field Stochastic Differential Equation With Jump Diffusion: An Equivalent Cost Functional Method.
IEEE Trans. Autom. Control., November, 2024
Maximum Principle for Stochastic Control System with Elephant Memory and Jump Diffusion.
J. Syst. Sci. Complex., August, 2024
Inverse Reinforcement Learning With Graph Neural Networks for Full-Dimensional Task Offloading in Edge Computing.
IEEE Trans. Mob. Comput., June, 2024
A Mean-Field Game for a Forward-Backward Stochastic System with Partial Observation and Common Noise.
IEEE CAA J. Autom. Sinica, March, 2024
Robust Optimal Control of Biobjective Linear-Quadratic System With Noisy Observation.
IEEE Trans. Autom. Control., January, 2024
Green Cell-Free Massive MIMO: An Optimization Embedded Deep Reinforcement Learning Approach.
IEEE Trans. Signal Process., 2024
Finite-horizon and infinite-horizon linear quadratic optimal control problems: A data-driven Euler scheme.
J. Frankl. Inst., 2024
Distributed Online Bandit Nonconvex Optimization with One-Point Residual Feedback via Dynamic Regret.
CoRR, 2024
Value iteration algorithm for continuous-time linear quadratic stochastic optimal control problems.
Sci. China Inf. Sci., 2024
Proceedings of the IEEE International Conference on Communications, 2024
2023
Necessary and Sufficient Conditions for Pareto Optimal Solution of Backward Stochastic System With Application.
IEEE Trans. Autom. Control., November, 2023
A linear-quadratic mean-field game of backward stochastic differential equation with partial information and common noise.
Appl. Math. Comput., June, 2023
A residual attention-based privacy-preserving biometrics model of transcriptome prediction from genome.
Proceedings of the 22nd IEEE International Conference on Trust, 2023
DP-ProtoNet: An interpretable dual path prototype network for medical image diagnosis.
Proceedings of the 22nd IEEE International Conference on Trust, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
An Novel Interpretable Fine-grained Image Classification Model Based on Improved Neural Prototype Tree.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Inverse Reinforcement Learning with Graph Neural Networks for IoT Resource Allocation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2022
A multiobjective memetic algorithm for integrated process planning and scheduling problem in distributed heterogeneous manufacturing systems.
Memetic Comput., 2022
Int. J. Syst. Sci., 2022
Linear-quadratic optimal control for partially observed forward-backward stochastic systems with random jumps.
Sci. China Inf. Sci., 2022
Autom., 2022
An effective multi-objective whale swarm algorithm for energy-efficient scheduling of distributed welding flow shop.
Ann. Oper. Res., 2022
2021
Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D.
Swarm Evol. Comput., 2021
Linear quadratic control of backward stochastic differential equation with partial information.
Appl. Math. Comput., 2021
2020
Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm.
Swarm Evol. Comput., 2020
Syst. Control. Lett., 2020
A Mean-Field Linear-Quadratic Stochastic Stackelberg Differential Game with one Leader and Two Followers.
J. Syst. Sci. Complex., 2020
A partial information linear-quadratic optimal control problem of backward stochastic differential equation with its applications.
Sci. China Inf. Sci., 2020
Linear-quadratic optimal control for time-delay stochastic system with recursive utility under full and partial information.
Autom., 2020
2018
A kind of LQ non-zero sum differential game of backward stochastic differential equation with asymmetric information.
Autom., 2018
2017
Linear-quadratic stochastic Stackelberg differential game with asymmetric information.
Sci. China Inf. Sci., 2017
An optimal control problem for mean-field forward-backward stochastic differential equation with noisy observation.
Autom., 2017
2016
A Nonzero Sum Differential Game of BSDE With Time-Delayed Generator and Applications.
IEEE Trans. Autom. Control., 2016
Leader-follower stochastic differential game with asymmetric information and applications.
Autom., 2016
2015
A Linear-Quadratic Optimal Control Problem of Forward-Backward Stochastic Differential Equations With Partial Information.
IEEE Trans. Autom. Control., 2015
Optimal control problem of backward stochastic differential delay equation under partial information.
Syst. Control. Lett., 2015
Arrow Sufficient Conditions for Optimality of Fully Coupled Forward-Backward Stochastic Differential Equations with Applications to Finance.
J. Optim. Theory Appl., 2015
Appl. Math. Comput., 2015
2014
Stochastic Maximum Principle for Mean-Field Type Optimal Control Under Partial Information.
IEEE Trans. Autom. Control., 2014
2013
Maximum Principles for Forward-Backward Stochastic Control Systems with Correlated State and Observation Noises.
SIAM J. Control. Optim., 2013
2012
A partial information non-zero sum differential game of backward stochastic differential equations with applications.
Autom., 2012
2011
2010
A Pontryagin's Maximum Principle for Non-Zero Sum Differential Games of BSDEs with Applications.
IEEE Trans. Autom. Control., 2010
Maximum Principles for a Class of Partial Information Risk-Sensitive Optimal Controls.
IEEE Trans. Autom. Control., 2010
Autom., 2010
Proceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, 2010
2009
The Maximum Principles for Stochastic Recursive Optimal Control Problems Under Partial Information.
IEEE Trans. Autom. Control., 2009
A Maximum Principle for Partial Information Backward Stochastic Control Problems with Applications.
SIAM J. Control. Optim., 2009