A Maximum Principle for Partial Information Backward Stochastic Control Problems with Applications. - Jianhui Huang; Guangchen Wang; Jie Xiong 004 (SIAM J. Control. Optim., 2009)

The Maximum Principles for Stochastic Recursive Optimal Control Problems Under Partial Information. - Guangchen Wang; Zhen Wu (IEEE Trans. Autom. Control., 2009)

A generative concept design model based on parallel evolutionary strategy. - Wenke Zang; Guangchen Wang (CSCWD, 2010)

Near-optimal control problems for linear forward-backward stochastic systems. - Jianhui Huang; Xun Li 002; Guangchen Wang (Autom., 2010)

Maximum Principles for a Class of Partial Information Risk-Sensitive Optimal Controls. - Jianhui Huang; Xun Li 002; Guangchen Wang (IEEE Trans. Autom. Control., 2010)

A Pontryagin's Maximum Principle for Non-Zero Sum Differential Games of BSDEs with Applications. - Guangchen Wang; Zhiyong Yu 004 (IEEE Trans. Autom. Control., 2010)

Near-optimal control for stochastic recursive problems. - Eddie C. M. Hui; Jianhui Huang; Xun Li 002; Guangchen Wang (Syst. Control. Lett., 2011)

A partial information non-zero sum differential game of backward stochastic differential equations with applications. - Guangchen Wang; Zhiyong Yu 004 (Autom., 2012)

Maximum Principles for Forward-Backward Stochastic Control Systems with Correlated State and Observation Noises. - Guangchen Wang; Zhen Wu; Jie Xiong 004 (SIAM J. Control. Optim., 2013)

Stochastic Maximum Principle for Mean-Field Type Optimal Control Under Partial Information. - Guangchen Wang; Chenghui Zhang; Weihai Zhang (IEEE Trans. Autom. Control., 2014)

A new optimal portfolio selection model with owner-occupied housing. - Eddie C. M. Hui; Guangchen Wang (Appl. Math. Comput., 2015)

Arrow Sufficient Conditions for Optimality of Fully Coupled Forward-Backward Stochastic Differential Equations with Applications to Finance. - Guangchen Wang; Hua Xiao 002 (J. Optim. Theory Appl., 2015)

Optimal control problem of backward stochastic differential delay equation under partial information. - Shuang Wu; Guangchen Wang (Syst. Control. Lett., 2015)

A Linear-Quadratic Optimal Control Problem of Forward-Backward Stochastic Differential Equations With Partial Information. - Guangchen Wang; Zhen Wu; Jie Xiong 004 (IEEE Trans. Autom. Control., 2015)

Leader-follower stochastic differential game with asymmetric information and applications. - Jingtao Shi; Guangchen Wang; Jie Xiong 004 (Autom., 2016)

A Nonzero Sum Differential Game of BSDE With Time-Delayed Generator and Applications. - Jingtao Shi; Guangchen Wang (IEEE Trans. Autom. Control., 2016)

An optimal control problem for mean-field forward-backward stochastic differential equation with noisy observation. - Guangchen Wang; Hua Xiao 002; Guojing Xing (Autom., 2017)

Linear-quadratic stochastic Stackelberg differential game with asymmetric information. - Jingtao Shi; Guangchen Wang; Jie Xiong 004 (Sci. China Inf. Sci., 2017)

A kind of LQ non-zero sum differential game of backward stochastic differential equation with asymmetric information. - Guangchen Wang; Hua Xiao 002; Jie Xiong 004 (Autom., 2018)

Linear-quadratic optimal control for time-delay stochastic system with recursive utility under full and partial information. - Na Li; Guangchen Wang; Zhen Wu (Autom., 2020)

A partial information linear-quadratic optimal control problem of backward stochastic differential equation with its applications. - Pengyan Huang; Guangchen Wang; Huanjun Zhang (Sci. China Inf. Sci., 2020)

A Mean-Field Linear-Quadratic Stochastic Stackelberg Differential Game with one Leader and Two Followers. - Guangchen Wang; Susu Zhang (J. Syst. Sci. Complex., 2020)

Time inconsistent asset-liability management with partial information. - Guangchen Wang; Tianxiao Wang (Syst. Control. Lett., 2020)

Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm. - Guangchen Wang; Liang Gao 001; Xinyu Li 001; Peigen Li; Mehmet Fatih Tasgetiren (Swarm Evol. Comput., 2020)

Linear quadratic control of backward stochastic differential equation with partial information. - Guangchen Wang; Wencan Wang; Zhiguo Yan (Appl. Math. Comput., 2021)

Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D. - Guangchen Wang; Xinyu Li 001; Liang Gao 001; Peigen Li (Swarm Evol. Comput., 2021)

An effective multi-objective whale swarm algorithm for energy-efficient scheduling of distributed welding flow shop. - Guangchen Wang; Xinyu Li 001; Liang Gao 001; Peigen Li (Ann. Oper. Res., 2022)

A maximum principle for mean-field stochastic control system with noisy observation. - Guangchen Wang; Zhen Wu (Autom., 2022)

Linear-quadratic optimal control for partially observed forward-backward stochastic systems with random jumps. - Tian Chen; Guangchen Wang; Zhen Wu (Sci. China Inf. Sci., 2022)

LQ control of forward and backward stochastic difference system. - Shen Zhang; Juanjuan Xu; Guangchen Wang; Huanshui Zhang (Int. J. Syst. Sci., 2022)

A multiobjective memetic algorithm for integrated process planning and scheduling problem in distributed heterogeneous manufacturing systems. - Qihao Liu; Xinyu Li 001; Liang Gao 001; Guangchen Wang (Memetic Comput., 2022)

Learning-Based Energy Efficiency Optimization in Cell-Free Massive MIMO. - Guangchen Wang; Peng Cheng 002; Zhuo Chen 001; Branka Vucetic; Yonghui Li 001 (GLOBECOM, 2023)

Inverse Reinforcement Learning with Graph Neural Networks for IoT Resource Allocation. - Guangchen Wang; Peng Cheng 002; Zhuo Chen 001; Wei Xiang 001; Branka Vucetic; Yonghui Li 001 (ICASSP, 2023)

An Novel Interpretable Fine-grained Image Classification Model Based on Improved Neural Prototype Tree. - Jin'an Cui; Jinghao Gong; Guangchen Wang; Jinbao Li; Xiaoyu Liu; Song Liu 008 (ISCAS, 2023)

A Dynamic Global Semantic Fusion GNN Model For Commonsense Question Answering. - Jinbao Li; Guangchen Wang; Cheng Tian; Song Liu 008 (SMC, 2023)

A Novel Multimodal Prototype Network for Interpretable Medical Image Classification. - Guangchen Wang; Jinbao Li; Cheng Tian; Xitong Ma; Song Liu 008 (SMC, 2023)

DP-ProtoNet: An interpretable dual path prototype network for medical image diagnosis. - Luyue Kong; Ling Gong; Guangchen Wang; Song Liu 008 (TrustCom, 2023)

A residual attention-based privacy-preserving biometrics model of transcriptome prediction from genome. - Cheng Tian; Song Liu 008; Jinbao Li; Guangchen Wang; Luyue Kong (TrustCom, 2023)

A linear-quadratic mean-field game of backward stochastic differential equation with partial information and common noise. - Pengyan Huang; Guangchen Wang; Wencan Wang; Yu Wang (Appl. Math. Comput., 2023)

Necessary and Sufficient Conditions for Pareto Optimal Solution of Backward Stochastic System With Application. - Panpan Nie; Guangchen Wang; Yu Wang 200 (IEEE Trans. Autom. Control., 2023)

Partial NOMA Based Online Task Offloading for Multi-Layer Mobile Computing Networks. - Guangchen Wang; Peng Cheng 002; Zhuo Chen 001; Branka Vucetic; Yonghui Li 001 (ICC, 2024)

A Novel 3D Medical Image Segmentation Model Using Improved SAM. - Yuansen Kuang; Xitong Ma; Jing Zhao; Guangchen Wang; Yijie Zeng; Song Liu 008 (SMC, 2024)

Value iteration algorithm for continuous-time linear quadratic stochastic optimal control problems. - Guangchen Wang; Heng Zhang (Sci. China Inf. Sci., 2024)

Distributed Online Bandit Nonconvex Optimization with One-Point Residual Feedback via Dynamic Regret. - Youqing Hua; Shuai Liu 001; Yiguang Hong; Karl Henrik Johansson; Guangchen Wang (CoRR, 2024)

Finite-horizon and infinite-horizon linear quadratic optimal control problems: A data-driven Euler scheme. - Guangchen Wang; Heng Zhang (J. Frankl. Inst., 2024)

Green Cell-Free Massive MIMO: An Optimization Embedded Deep Reinforcement Learning Approach. - Guangchen Wang; Peng Cheng 002; Zhuo Chen 001; Branka Vucetic; Yonghui Li 001 (IEEE Trans. Signal Process., 2024)

Robust Optimal Control of Biobjective Linear-Quadratic System With Noisy Observation. - Guangchen Wang; Zhuangzhuang Xing (IEEE Trans. Autom. Control., 2024)

A Mean-Field Game for a Forward-Backward Stochastic System with Partial Observation and Common Noise. - Pengyan Huang; Guangchen Wang; Shujun Wang; Hua Xiao 002 (IEEE CAA J. Autom. Sinica, 2024)

Inverse Reinforcement Learning With Graph Neural Networks for Full-Dimensional Task Offloading in Edge Computing. - Guangchen Wang; Peng Cheng 002; Zhuo Chen 001; Branka Vucetic; Yonghui Li 001 (IEEE Trans. Mob. Comput., 2024)

Maximum Principle for Stochastic Control System with Elephant Memory and Jump Diffusion. - Siqi Feng; Lei Gao; Guangchen Wang; Hua Xiao 002 (J. Syst. Sci. Complex., 2024)

Indefinite Linear-Quadratic Optimal Control of Mean-Field Stochastic Differential Equation With Jump Diffusion: An Equivalent Cost Functional Method. - Guangchen Wang; Wencan Wang (IEEE Trans. Autom. Control., 2024)

Robust optimal control of bi-objective non-homogeneous stochastic linear quadratic system with random coefficients. - Guangchen Wang; Zhuangzhuang Xing (Autom., 2025)

Two-stage linear quadratic stochastic optimal control problem under model uncertainty. - Guangchen Wang; Zhuangzhuang Xing (Sci. China Inf. Sci., 2025)

Two system transformation data-driven algorithms for linear quadratic mean-field games. - Xun Li 002; Guangchen Wang; Yu Wang 200; Jie Xiong 004; Heng Zhang (Eur. J. Control, 2025)

Partially observed linear quadratic stochastic optimal control problem in infinite horizon: A data-driven approach. - Xun Li 002; Guangchen Wang; Jie Xiong 004; Heng Zhang (Syst. Control. Lett., 2025)

System transformation and model-free value iteration algorithms for continuous-time linear quadratic stochastic optimal control problems. - Guangchen Wang; Heng Zhang (Int. J. Syst. Sci., 2025)

Pareto Game of Stochastic Differential System with Terminal State Constraint. - Pengyan Huang; Guangchen Wang; Shujun Wang (J. Optim. Theory Appl., 2025)

Pareto optimality in cooperative differential game of nonlinear mean-field backward stochastic system. - Guangchen Wang; Yu Wang (Int. J. Control, 2025)

Label correlation preserving visual-semantic joint embedding for multi-label zero-shot learning. - Zhongchen Ma; Runze Ma; Guangchen Wang; Qirong Mao; Ming Dong 001 (Multim. Tools Appl., 2025)

A Large-Population Stochastic Differential Game With Terminal State Constraint and Common Noise. - Pengyan Huang; Guangchen Wang; Shujun Wang (IEEE Trans. Autom. Control., 2025)

Discrete-Time Partially Observable Stochastic Optimal Control Problems of McKean-Vlasov Type and Branching Particle System Approximations. - Hexiang Wan; Guangchen Wang; Jie Xiong 004 (IEEE Trans. Autom. Control., 2025)