Zhen Ni

Orcid: 0000-0003-3166-4726

According to our database1, Zhen Ni authored at least 105 papers between 2011 and 2024.

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Bibliography

2024
Safe Reinforcement Learning and Adaptive Optimal Control With Applications to Obstacle Avoidance Problem.
IEEE Trans Autom. Sci. Eng., July, 2024

A Neural-Reinforcement-Learning-Based Guaranteed Cost Control for Perturbed Tracking Systems.
IEEE Trans. Artif. Intell., June, 2024

Federated Learning for Crowd Counting in Smart Surveillance Systems.
IEEE Internet Things J., February, 2024

Kernelized Deep Learning for Matrix Factorization Recommendation System Using Explicit and Implicit Information.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

2023
Tourism Route Recommendation Based on A Multi-Objective Evolutionary Algorithm Using Two-Stage Decomposition and Pareto Layering.
IEEE CAA J. Autom. Sinica, 2023

Report on 2023 CyberTraining PI Meeting, 26-27 September 2023.
CoRR, 2023

2022
Adaptive composite frequency control of power systems using reinforcement learning.
CAAI Trans. Intell. Technol., December, 2022

Adaptive Learning and Sampled-Control for Nonlinear Game Systems Using Dynamic Event-Triggering Strategy.
IEEE Trans. Neural Networks Learn. Syst., 2022

RNALocate v2.0: an updated resource for RNA subcellular localization with increased coverage and annotation.
Nucleic Acids Res., 2022

An approach of method-level bug localization.
IET Softw., 2022

Semi-Supervised Representative Region Texture Extraction of Façade.
CoRR, 2022

Hierarchical attention and feature projection for click-through rate prediction.
Appl. Intell., 2022

Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment.
Proceedings of the International Joint Conference on Neural Networks, 2022

An Efficient Distributed Reinforcement Learning for Enhanced Multi-Microgrid Management.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
An Intelligent and Secure Control Approach for Nonlinear Systems under Attacks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A SmartNIC-based Load Balancing and Auto Scaling Framework for Middlebox Edge Server.
Proceedings of the 2021 IEEE Conference on Network Function Virtualization and Software Defined Networks, 2021

2020
A Hierarchical Control Framework With a Novel Bidding Scheme for Residential Community Energy Optimization.
IEEE Trans. Smart Grid, 2020

A Novel Fitted Rolling Horizon Control Approach for Real-Time Policy Making in Microgrid.
IEEE Trans. Smart Grid, 2020

A Learning-Based Solution for an Adversarial Repeated Game in Cyber-Physical Power Systems.
IEEE Trans. Neural Networks Learn. Syst., 2020

Low-cohesion differential privacy protection for industrial Internet.
J. Supercomput., 2020

Cooperative Differential Game-Based Optimal Control and Its Application to Power Systems.
IEEE Trans. Ind. Informatics, 2020

Pedestrian Flow Optimization to Reduce the Risk of Crowd Disasters Through Human-Robot Interaction.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Robot-Assisted Pedestrian Regulation Based on Deep Reinforcement Learning.
IEEE Trans. Cybern., 2020

Analyzing bug fix for automatic bug cause classification.
J. Syst. Softw., 2020

Fusion Learning Model for Mobile Face Safe Detection and Facial Gesture Analysis.
IEEE Access, 2020

An Analysis of Post Attack Impacts and Effects of Learning Parameters on Vulnerability Assessment of Power Grid.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

One-Shot Unsupervised Domain Adaptation for Object Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Learning Human-Robot Interaction for Robot-Assisted Pedestrian Flow Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2019

A Multistage Game in Smart Grid Security: A Reinforcement Learning Solution.
IEEE Trans. Neural Networks Learn. Syst., 2019

Editorial: Booming of Neural Networks and Learning Systems.
IEEE Trans. Neural Networks Learn. Syst., 2019

Prioritizing Useful Experience Replay for Heuristic Dynamic Programming-Based Learning Systems.
IEEE Trans. Cybern., 2019

Bug Localization for Version Issues With Defect Patterns.
IEEE Access, 2019

DPRF: A Differential Privacy Protection Random Forest.
IEEE Access, 2019

A New Hybrid Model for Short-Term Electricity Load Forecasting.
IEEE Access, 2019

Advancing Network Function Virtualization Platforms with Programmable NICs.
Proceedings of the IEEE International Symposium on Local and Metropolitan Area Networks, 2019

Design of Dynamic Analysis and Grammar Generation Method in Industrial Control Protocols Test.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

Differentially Private Recommender System with Autoencoders.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

A Strategic Analysis of Attacker-Defender Repeated Game in Smart Grid Security.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019

A Composite Extended Nearest Neighbor Model for Day-Ahead Load Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2019

Study of Learning of Power Grid Defense Strategy in Adversarial Stage Game.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

A Comparative Study of Smart Grid Security Based on Unsupervised Learning and Load Ranking.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

Classification of Electricity Load Profile Data and The Prediction of Load Demand Variability.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

A Case Study of Horizon Window in Receding Horizon Control for Renewable Energy Integration.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

Optimization of Merging Pedestrian Flows Based on Adaptive Dynamic Programming.
Proceedings of the 2019 American Control Conference, 2019

2018
Electrical Distance Approach for Searching Vulnerable Branches During Contingencies.
IEEE Trans. Smart Grid, 2018

A Computationally Efficient Optimization Approach for Battery Systems in Islanded Microgrid.
IEEE Trans. Smart Grid, 2018

Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game.
IEEE Trans. Cybern., 2018

Game-Model-Based Network Security Risk Control.
Computer, 2018

A New Incentive-Based Optimization Scheme for Residential Community With Financial Trade-Offs.
IEEE Access, 2018

CRIMES: Using Evidence to Secure the Cloud.
Proceedings of the 19th International Middleware Conference, 2018

Measuring Performance and Isolation Tradeoffs for NFV.
Proceedings of the 2018 IEEE International Symposium on Local and Metropolitan Area Networks, 2018

Data-Driven Reinforcement Learning Design for Multi-agent Systems with Unknown Disturbances.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Study of Linear Programming and Reinforcement Learning for One-Shot Game in Smart Grid Security.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Building an Exoskeleton Glove on Virtual Reality Platform.
Proceedings of the 2018 IEEE International Conference on Electro/Information Technology, 2018

2017
Air-Breathing Hypersonic Vehicle Tracking Control Based on Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2017

Gr-GDHP: A New Architecture for Globalized Dual Heuristic Dynamic Programming.
IEEE Trans. Cybern., 2017

Data-Driven Tracking Control With Adaptive Dynamic Programming for a Class of Continuous-Time Nonlinear Systems.
IEEE Trans. Cybern., 2017

A new history experience replay design for model-free adaptive dynamic programming.
Neurocomputing, 2017

Online learning control for harmonics reduction based on current controlled voltage source power inverters.
IEEE CAA J. Autom. Sinica, 2017

VRer: Context-Based Venue Recommendation using embedded space ranking SVM in location-based social network.
Expert Syst. Appl., 2017

A reinforcement learning approach for sequential decision-making process of attacks in smart grid.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A computational intelligence approach for residential home energy management considering reward incentives.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Optimization in load scheduling of a residential community using dynamic pricing.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

Vulnerability analysis for simultaneous attack in smart grid security.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

Towards enabling deep learning techniques for adaptive dynamic programming.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Experimental verification of virtual inertia in diesel generator based microgrids.
Proceedings of the IEEE International Conference on Industrial Technology, 2017

Adaptive droop-based active power curtailment method for overvoltage prevention in low voltage distribution network.
Proceedings of the IEEE International Conference on Electro Information Technology, 2017

2016
A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2016

Adaptive Modulation for DFIG and STATCOM With High-Voltage Direct Current Transmission.
IEEE Trans. Neural Networks Learn. Syst., 2016

Fuzzy-Based Goal Representation Adaptive Dynamic Programming.
IEEE Trans. Fuzzy Syst., 2016

Fuzzy logic adjustment for power sharing in wind and PV-based isolated microgrid.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Near optimal control for microgrid energy systems considering battery lifetime characteristics.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Cascading failures and transient stability experiment analysis in power grid security.
Proceedings of the 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2016

Energy storage system operation: Case studies in deterministic and stochastic environments.
Proceedings of the 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2016

Robot-assisted pedestrian regulation in an exit corridor.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Convergence analysis of GrDHP-based optimal control for discrete-time nonlinear system.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Scalable Cloud Security via Asynchronous Virtual Machine Introspection.
Proceedings of the 8th USENIX Workshop on Hot Topics in Cloud Computing, 2016

Reduction of energy consumption of virtual synchronous machine using supplementary adaptive dynamic programming.
Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

Frequency control of isolated micro-grid using a droop control approach.
Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

Supplementary control for virtual synchronous machine based on adaptive dynamic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2015

Model-Free Dual Heuristic Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2015

Data-driven heuristic dynamic programming with virtual reality.
Neurocomputing, 2015

Event-triggered adaptive dynamic programming for continuous-time nonlinear system using measured input-output data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A boundedness theoretical analysis for GrADP design: A case study on maze navigation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A comparative study between motivated learning and reinforcement learning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
A WSN Nodes Access Mechanism and Directed Diffusion in Emergency Circumstances.
J. Digit. Inf. Manag., 2014

Reactive power control of grid-connected wind farm based on adaptive dynamic programming.
Neurocomputing, 2014

Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A GPU-based real-time traffic sign detection and recognition system.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2014

Advancing motivated learning with goal creation.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2014

Experimental studies on indoor sign recognition and classification.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Impact of signal transmission delays on power system damping control using heuristic dynamic programming.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014

Multi-machine power system control based on dual heuristic dynamic programming.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014

Data-driven partially observable dynamic processes using adaptive dynamic programming.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
Goal Representation Heuristic Dynamic Programming on Maze Navigation.
IEEE Trans. Neural Networks Learn. Syst., 2013

Adaptive Learning in Tracking Control Based on the Dual Critic Network Design.
IEEE Trans. Neural Networks Learn. Syst., 2013

Heuristic dynamic programming with internal goal representation.
Soft Comput., 2013

Real-time tracking on adaptive critic design with uniformly ultimately bounded condition.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012
A three-network architecture for on-line learning and optimization based on adaptive dynamic programming.
Neurocomputing, 2012

Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
An Adaptive Dynamic Programming Approach for Closely-Coupled MIMO System Control.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

An online actor-critic learning approach with Levenberg-Marquardt algorithm.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Adaptive dynamic programming with balanced weights seeking strategy.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011


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