Xiangnan Zhong

53 papers A* 1B 13C 1Journal 30Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data.
AAAI
Yiran Pang, Zhen Ni, Xiangnan Zhong
2025 C conf
A New Federated Learning Approach for Imbalanced Medical Image Datasets.
ICMLA
Aniruddha Tiwari, Zhen Ni, Xiangnan Zhong, Ahmed Imteaj
2025 J jnl
A Two-Level Neural-RL-Based Approach for Hierarchical Multiplayer Systems Under Mismatched Uncertainties.
IEEE Trans. Artif. Intell.
Xiangnan Zhong, Zhen Ni
2025 J jnl
A fast federated reinforcement learning approach with phased weight-adjustment technique.
Neurocomputing
Yiran Pang, Zhen Ni, Xiangnan Zhong
2025 J jnl
Assessing behavior cloning with RGB inputs in surgical robotics through dataset ablation.
Adv. Robotics
Matthew Acs, Xiangnan Zhong
2025 J jnl
Intelligent Control in Asymmetric Decision-Making: An Event-Triggered RL Approach for Mismatched Uncertainties.
IEEE Trans. Syst. Man Cybern. Syst.
Xiangnan Zhong, Zhen Ni
2025 J jnl
Learning From Demonstrations: A Computationally Efficient Inverse Reinforcement Learning Approach With Simplified Implementation.
IEEE Trans. Emerg. Top. Comput. Intell.
Yanbin Lin, Zhen Ni, Xiangnan Zhong
2024 J jnl
A Neural-Reinforcement-Learning-Based Guaranteed Cost Control for Perturbed Tracking Systems.
IEEE Trans. Artif. Intell.
Xiangnan Zhong, Zhen Ni
2024 J jnl
Federated Learning for Crowd Counting in Smart Surveillance Systems.
IEEE Internet Things J.
Yiran Pang, Zhen Ni, Xiangnan Zhong
2024 J jnl
Kernelized Deep Learning for Matrix Factorization Recommendation System Using Explicit and Implicit Information.
IEEE Trans. Neural Networks Learn. Syst.
Xiaoyao Zheng, Zhen Ni, Xiangnan Zhong, Yonglong Luo
2023 B conf
An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning.
IJCNN
Hepeng Li, Xiangnan Zhong, Haibo He
2022 B conf
Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment.
IJCNN
Yanbin Lin, Zhen Ni, Xiangnan Zhong
2022 J jnl
Semicentralized Deep Deterministic Policy Gradient in Cooperative StarCraft Games.
IEEE Trans. Neural Networks Learn. Syst.
Dong Xie, Xiangnan Zhong
2021 B conf
A Reinforcement Learning-Based Control Approach for Unknown Nonlinear Systems with Persistent Adversarial Inputs.
IJCNN
Xiangnan Zhong, Haibo He
2021 — conf
An Intelligent and Secure Control Approach for Nonlinear Systems under Attacks.
SSCI
Xiangnan Zhong, Zhen Ni
2021 J jnl
Approximate Dynamic Programming for Nonlinear-Constrained Optimizations.
IEEE Trans. Cybern.
Xiong Yang, Haibo He, Xiangnan Zhong
2021 J jnl
Consensus Control of Leader-Following Multi-Agent Systems in Directed Topology With Heterogeneous Disturbances.
IEEE CAA J. Autom. Sinica
Qinglai Wei, Xin Wang, Xiangnan Zhong, Naiqi Wu
2020 J jnl
Event-triggered ADP control of a class of non-affine continuous-time nonlinear systems using output information.
Neurocomputing
Yang Yang, Chuang Xu, Dong Yue, Xiangnan Zhong, Xuefeng Si, Jie Tan
2020 B conf
Event-triggered Multi-agent Optimal Regulation Using Adaptive Dynamic Programming.
IJCNN
Xiangnan Zhong, Haibo He
2020 J jnl
GrHDP Solution for Optimal Consensus Control of Multiagent Discrete-Time Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Xiangnan Zhong, Haibo He
2019 J jnl
Advanced policy learning near-optimal regulation.
IEEE CAA J. Autom. Sinica
Ding Wang, Xiangnan Zhong
2019 — conf
Deep Deterministic Policy Gradients with Transfer Learning Framework in StarCraft Micromanagement.
EIT
Dong Xie, Xiangnan Zhong
2019 J jnl
Event-Triggered Globalized Dual Heuristic Programming and Its Application to Networked Control Systems.
IEEE Trans. Ind. Informatics
Jun Yi, Shi Chen, Xiangnan Zhong, Wei Zhou, Haibo He
2019 J jnl
Prioritizing Useful Experience Replay for Heuristic Dynamic Programming-Based Learning Systems.
IEEE Trans. Cybern.
Zhen Ni, Naresh Malla, Xiangnan Zhong
2018 J jnl
Adaptive Dynamic Programming for Robust Regulation and Its Application to Power Systems.
IEEE Trans. Ind. Electron.
Xiong Yang, Haibo He, Xiangnan Zhong
2018 B conf
Data-Driven Reinforcement Learning Design for Multi-agent Systems with Unknown Disturbances.
IJCNN
Xiangnan Zhong, Zhen Ni
2018 J jnl
Learning Without External Reward [Research Frontier].
IEEE Comput. Intell. Mag.
Haibo He, Xiangnan Zhong
2018 J jnl
Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game.
IEEE Trans. Cybern.
Xiangnan Zhong, Haibo He, Ding Wang, Zhen Ni
2017 — conf
A computational intelligence approach for residential home energy management considering reward incentives.
SSCI
Zhen Ni, Priti Paudyal, Xiangnan Zhong
2017 — conf
A reinforcement learning approach for sequential decision-making process of attacks in smart grid.
SSCI
Zhen Ni, Shuva Paul, Xiangnan Zhong, Qinglai Wei
2017 J jnl
Adaptive Event-Triggered Control Based on Heuristic Dynamic Programming for Nonlinear Discrete-Time Systems.
IEEE Trans. Neural Networks Learn. Syst.
Lu Dong, Xiangnan Zhong, Changyin Sun, Haibo He
2017 J jnl
An Event-Triggered ADP Control Approach for Continuous-Time System With Unknown Internal States.
IEEE Trans. Cybern.
Xiangnan Zhong, Haibo He
2017 J jnl
Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application.
IEEE Trans. Ind. Electron.
Ding Wang, Haibo He, Xiangnan Zhong, Derong Liu
2017 J jnl
Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints.
IEEE Trans. Neural Networks Learn. Syst.
Lu Dong, Xiangnan Zhong, Changyin Sun, Haibo He
2017 J jnl
Gr-GDHP: A New Architecture for Globalized Dual Heuristic Dynamic Programming.
IEEE Trans. Cybern.
Xiangnan Zhong, Zhen Ni, Haibo He
2017 J jnl
Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks.
IEEE Trans. Inf. Forensics Secur.
Jun Yan, Haibo He, Xiangnan Zhong, Yufei Tang
2017 B conf
Towards enabling deep learning techniques for adaptive dynamic programming.
IJCNN
Zhen Ni, Naresh Malla, Xiangnan Zhong
2016 J jnl
A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst.
Xiangnan Zhong, Zhen Ni, Haibo He
2016 B conf
Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning.
IJCNN
Shiva Poudel, Zhen Ni, Xiangnan Zhong, Haibo He
2016 B conf
Convergence analysis of GrDHP-based optimal control for discrete-time nonlinear system.
IJCNN
Xiangnan Zhong, Zhen Ni, Haibo He
2016 — conf
Energy storage system operation: Case studies in deterministic and stochastic environments.
ISGT
Avijit Das, Zhen Ni, Timothy M. Hansen, Xiangnan Zhong
2016 J jnl
Fuzzy-Based Goal Representation Adaptive Dynamic Programming.
IEEE Trans. Fuzzy Syst.
Yufei Tang, Haibo He, Zhen Ni, Xiangnan Zhong, Dongbin Zhao, Xin Xu
2016 — conf
Near optimal control for microgrid energy systems considering battery lifetime characteristics.
SSCI
Avijit Das, Zhen Ni, Xiangnan Zhong
2015 B conf
A boundedness theoretical analysis for GrADP design: A case study on maze navigation.
IJCNN
Zhen Ni, Xiangnan Zhong, Haibo He
2015 J jnl
A neural network based online learning and control approach for Markov jump systems.
Neurocomputing
Xiangnan Zhong, Haibo He, Huaguang Zhang, Zhanshan Wang
2015 B conf
Event-triggered adaptive dynamic programming for continuous-time nonlinear system using measured input-output data.
IJCNN
Xiangnan Zhong, Zhen Ni, Haibo He
2015 J jnl
Model-Free Dual Heuristic Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst.
Zhen Ni, Haibo He, Xiangnan Zhong, Danil V. Prokhorov
2015 B conf
Predictive event-triggered control based on heuristic dynamic programming for nonlinear continuous-time systems.
IJCNN
Lu Dong, Xiangnan Zhong, Changyin Sun, Haibo He
2014 — conf
Data-driven partially observable dynamic processes using adaptive dynamic programming.
ADPRL
Xiangnan Zhong, Zhen Ni, Yufei Tang, Haibo He
2014 B conf
Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system.
IJCNN
Xiangnan Zhong, Zhen Ni, Haibo He, Xin Xu, Dongbin Zhao
2014 — conf
Impact of signal transmission delays on power system damping control using heuristic dynamic programming.
CIASG
Yufei Tang, Xiangnan Zhong, Zhen Ni, Jun Yan, Haibo He
2014 J jnl
Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst.
Xiangnan Zhong, Haibo He, Huaguang Zhang, Zhanshan Wang
2013 B conf
Robust controller design of continuous-time nonlinear system using neural network.
IJCNN
Xiangnan Zhong, Haibo He, Danil V. Prokhorov