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2020 – today
- 2024
[j25]Yiran Pang
, Zhen Ni, Xiangnan Zhong:
Federated Learning for Crowd Counting in Smart Surveillance Systems. IEEE Internet Things J. 11(3): 5200-5209 (2024)- [j24]Xiangnan Zhong, Zhen Ni:
A Neural-Reinforcement-Learning-Based Guaranteed Cost Control for Perturbed Tracking Systems. IEEE Trans. Artif. Intell. 5(6): 3205-3217 (2024) - [j23]Xiaoyao Zheng, Zhen Ni, Xiangnan Zhong, Yonglong Luo:
Kernelized Deep Learning for Matrix Factorization Recommendation System Using Explicit and Implicit Information. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1205-1216 (2024) - 2023
- [c21]Hepeng Li, Xiangnan Zhong, Haibo He:
An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning. IJCNN 2023: 1-8 - 2022
- [j22]Dong Xie, Xiangnan Zhong:
Semicentralized Deep Deterministic Policy Gradient in Cooperative StarCraft Games. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1584-1593 (2022) - [c20]Yanbin Lin, Zhen Ni, Xiangnan Zhong:
Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment. IJCNN 2022: 1-8 - 2021
- [j21]Qinglai Wei, Xin Wang, Xiangnan Zhong, Naiqi Wu:
Consensus Control of Leader-Following Multi-Agent Systems in Directed Topology With Heterogeneous Disturbances. IEEE CAA J. Autom. Sinica 8(2): 423-431 (2021) - [j20]Xiong Yang, Haibo He, Xiangnan Zhong:
Approximate Dynamic Programming for Nonlinear-Constrained Optimizations. IEEE Trans. Cybern. 51(5): 2419-2432 (2021) - [c19]Xiangnan Zhong, Haibo He:
A Reinforcement Learning-Based Control Approach for Unknown Nonlinear Systems with Persistent Adversarial Inputs. IJCNN 2021: 1-8 - [c18]Xiangnan Zhong, Zhen Ni:
An Intelligent and Secure Control Approach for Nonlinear Systems under Attacks. SSCI 2021: 1-8 - 2020
- [j19]Yang Yang, Chuang Xu, Dong Yue, Xiangnan Zhong, Xuefeng Si, Jie Tan:
Event-triggered ADP control of a class of non-affine continuous-time nonlinear systems using output information. Neurocomputing 378: 304-314 (2020) - [j18]Xiangnan Zhong, Haibo He:
GrHDP Solution for Optimal Consensus Control of Multiagent Discrete-Time Systems. IEEE Trans. Syst. Man Cybern. Syst. 50(7): 2362-2374 (2020) - [c17]Xiangnan Zhong, Haibo He:
Event-triggered Multi-agent Optimal Regulation Using Adaptive Dynamic Programming. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j17]Ding Wang, Xiangnan Zhong:
Advanced policy learning near-optimal regulation. IEEE CAA J. Autom. Sinica 6(3): 743-749 (2019) - [j16]Zhen Ni, Naresh Malla, Xiangnan Zhong:
Prioritizing Useful Experience Replay for Heuristic Dynamic Programming-Based Learning Systems. IEEE Trans. Cybern. 49(11): 3911-3922 (2019) - [j15]Jun Yi, Shi Chen, Xiangnan Zhong, Wei Zhou, Haibo He:
Event-Triggered Globalized Dual Heuristic Programming and Its Application to Networked Control Systems. IEEE Trans. Ind. Informatics 15(3): 1383-1392 (2019) - [c16]Dong Xie, Xiangnan Zhong:
Deep Deterministic Policy Gradients with Transfer Learning Framework in StarCraft Micromanagement. EIT 2019: 410-415 - 2018
- [j14]Haibo He, Xiangnan Zhong:
Learning Without External Reward [Research Frontier]. IEEE Comput. Intell. Mag. 13(3): 48-54 (2018) - [j13]Xiangnan Zhong, Haibo He, Ding Wang, Zhen Ni:
Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game. IEEE Trans. Cybern. 48(5): 1633-1646 (2018) - [j12]Xiong Yang, Haibo He, Xiangnan Zhong:
Adaptive Dynamic Programming for Robust Regulation and Its Application to Power Systems. IEEE Trans. Ind. Electron. 65(7): 5722-5732 (2018) - [c15]Xiangnan Zhong, Zhen Ni:
Data-Driven Reinforcement Learning Design for Multi-agent Systems with Unknown Disturbances. IJCNN 2018: 1-8 - 2017
- [j11]Xiangnan Zhong, Haibo He:
An Event-Triggered ADP Control Approach for Continuous-Time System With Unknown Internal States. IEEE Trans. Cybern. 47(3): 683-694 (2017) - [j10]Xiangnan Zhong, Zhen Ni, Haibo He:
Gr-GDHP: A New Architecture for Globalized Dual Heuristic Dynamic Programming. IEEE Trans. Cybern. 47(10): 3318-3330 (2017) - [j9]Ding Wang, Haibo He, Xiangnan Zhong, Derong Liu:
Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application. IEEE Trans. Ind. Electron. 64(10): 8177-8186 (2017) - [j8]Jun Yan, Haibo He, Xiangnan Zhong, Yufei Tang:
Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks. IEEE Trans. Inf. Forensics Secur. 12(1): 200-210 (2017) - [j7]Lu Dong, Xiangnan Zhong, Changyin Sun, Haibo He:
Adaptive Event-Triggered Control Based on Heuristic Dynamic Programming for Nonlinear Discrete-Time Systems. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1594-1605 (2017) - [j6]Lu Dong, Xiangnan Zhong, Changyin Sun, Haibo He:
Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1941-1952 (2017) - [c14]Zhen Ni, Naresh Malla, Xiangnan Zhong:
Towards enabling deep learning techniques for adaptive dynamic programming. IJCNN 2017: 2828-2835 - [c13]Zhen Ni, Priti Paudyal, Xiangnan Zhong:
A computational intelligence approach for residential home energy management considering reward incentives. SSCI 2017: 1-8 - [c12]Zhen Ni, Shuva Paul, Xiangnan Zhong, Qinglai Wei:
A reinforcement learning approach for sequential decision-making process of attacks in smart grid. SSCI 2017: 1-8 - 2016
- [j5]Yufei Tang, Haibo He, Zhen Ni, Xiangnan Zhong, Dongbin Zhao, Xin Xu:
Fuzzy-Based Goal Representation Adaptive Dynamic Programming. IEEE Trans. Fuzzy Syst. 24(5): 1159-1175 (2016) - [j4]Xiangnan Zhong, Zhen Ni, Haibo He:
A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2513-2525 (2016) - [c11]Shiva Poudel, Zhen Ni, Xiangnan Zhong, Haibo He:
Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning. IJCNN 2016: 2730-2737 - [c10]Xiangnan Zhong, Zhen Ni, Haibo He:
Convergence analysis of GrDHP-based optimal control for discrete-time nonlinear system. IJCNN 2016: 4557-4564 - [c9]Avijit Das, Zhen Ni, Timothy M. Hansen, Xiangnan Zhong:
Energy storage system operation: Case studies in deterministic and stochastic environments. ISGT 2016: 1-5 - [c8]Avijit Das, Zhen Ni, Xiangnan Zhong:
Near optimal control for microgrid energy systems considering battery lifetime characteristics. SSCI 2016: 1-8 - 2015
- [j3]Xiangnan Zhong, Haibo He, Huaguang Zhang, Zhanshan Wang:
A neural network based online learning and control approach for Markov jump systems. Neurocomputing 149: 116-123 (2015) - [j2]Zhen Ni, Haibo He, Xiangnan Zhong, Danil V. Prokhorov:
Model-Free Dual Heuristic Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1834-1839 (2015) - [c7]Lu Dong, Xiangnan Zhong, Changyin Sun, Haibo He:
Predictive event-triggered control based on heuristic dynamic programming for nonlinear continuous-time systems. IJCNN 2015: 1-7 - [c6]Zhen Ni, Xiangnan Zhong, Haibo He:
A boundedness theoretical analysis for GrADP design: A case study on maze navigation. IJCNN 2015: 1-8 - [c5]Xiangnan Zhong, Zhen Ni, Haibo He:
Event-triggered adaptive dynamic programming for continuous-time nonlinear system using measured input-output data. IJCNN 2015: 1-8 - 2014
- [j1]Xiangnan Zhong, Haibo He, Huaguang Zhang, Zhanshan Wang:
Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 25(12): 2141-2155 (2014) - [c4]Xiangnan Zhong, Zhen Ni, Yufei Tang, Haibo He:
Data-driven partially observable dynamic processes using adaptive dynamic programming. ADPRL 2014: 1-8 - [c3]Yufei Tang, Xiangnan Zhong, Zhen Ni, Jun Yan, Haibo He:
Impact of signal transmission delays on power system damping control using heuristic dynamic programming. CIASG 2014: 161-167 - [c2]Xiangnan Zhong, Zhen Ni, Haibo He, Xin Xu, Dongbin Zhao:
Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system. IJCNN 2014: 3677-3684 - 2013
- [c1]Xiangnan Zhong, Haibo He, Danil V. Prokhorov:
Robust controller design of continuous-time nonlinear system using neural network. IJCNN 2013: 1-8
Coauthor Index
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