Zhen Ni

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Safe Reinforcement Learning and Adaptive Optimal Control With Applications to Obstacle Avoidance Problem.

Ke Wang, Chaoxu Mu, Zhen Ni, Derong Liu

IEEE Trans Autom. Sci. Eng., July, 2024

A Neural-Reinforcement-Learning-Based Guaranteed Cost Control for Perturbed Tracking Systems.

Xiangnan Zhong, Zhen Ni

IEEE Trans. Artif. Intell., June, 2024

Federated Learning for Crowd Counting in Smart Surveillance Systems.

Yiran Pang, Zhen Ni, Xiangnan Zhong

IEEE Internet Things J., February, 2024

Kernelized Deep Learning for Matrix Factorization Recommendation System Using Explicit and Implicit Information.

Xiaoyao Zheng, Zhen Ni, Xiangnan Zhong, Yonglong Luo

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.

Xiaoyao Zheng, Baoting Han, Zhen Ni

IEEE CAA J. Autom. Sinica, 2023

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

Geoffrey C. Fox, Mary P. Thomas, Sajal Bhatia, Marisa Brazil, Nicole M. Gasparini, Venkatesh Mohan Merwade, Henry J. Neeman, Jeff Carver, Henri Casanova, Vipin Chaudhary, Dirk Colbry, Lonnie D. Crosby, Prasun Dewan, Jessica Eisma, Irfan Ahmed, Kate Kaehey, Qianqian Liu, Zhen Ni, Sushil K. Prasad, Apan Qasem, Erik Saule, Prabha Sundaravadivel, Karen Tomko

CoRR, 2023

2022

Adaptive composite frequency control of power systems using reinforcement learning.

Chaoxu Mu, Ke Wang, Shiqian Ma, Zhiqiang Chong, Zhen Ni

CAAI Trans. Intell. Technol., December, 2022

Adaptive Learning and Sampled-Control for Nonlinear Game Systems Using Dynamic Event-Triggering Strategy.

Chaoxu Mu, Ke Wang, Zhen Ni

IEEE Trans. Neural Networks Learn. Syst., 2022

RNALocate v2.0: an updated resource for RNA subcellular localization with increased coverage and annotation.

Tianyu Cui, Yiying Dou, Puwen Tan, Zhen Ni, Tianyuan Liu, Duolin Wang, Yan Huang, Kaican Cai, Xiaoyang Zhao, Dong Xu, Hao Lin, Dong Wang

Nucleic Acids Res., 2022

An approach of method-level bug localization.

Zhen Ni, Lili Bo, Bin Li, Tianhao Chen, Xiaobing Sun, Xiaoxue Wu

IET Softw., 2022

Semi-Supervised Representative Region Texture Extraction of Façade.

Zhen Ni, Guitao Cao, Ye Duan

CoRR, 2022

Hierarchical attention and feature projection for click-through rate prediction.

Jinjin Zhang, Chengliang Zhong, Shouxiang Fan, Xiaodong Mu, Zhen Ni

Appl. Intell., 2022

Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment.

Yanbin Lin, Zhen Ni, Xiangnan Zhong

Proceedings of the International Joint Conference on Neural Networks, 2022

An Efficient Distributed Reinforcement Learning for Enhanced Multi-Microgrid Management.

Avijit Das, Zhen Ni, Di Wu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

An Intelligent and Secure Control Approach for Nonlinear Systems under Attacks.

Xiangnan Zhong, Zhen Ni

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A SmartNIC-based Load Balancing and Auto Scaling Framework for Middlebox Edge Server.

Zhen Ni, Cuidi Wei, Timothy Wood, Nakjung Choi

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.

Priti Paudyal, Prateek Munankarmi, Zhen Ni, Timothy M. Hansen

IEEE Trans. Smart Grid, 2020

A Novel Fitted Rolling Horizon Control Approach for Real-Time Policy Making in Microgrid.

Avijit Das, Zhen Ni

IEEE Trans. Smart Grid, 2020

A Learning-Based Solution for an Adversarial Repeated Game in Cyber-Physical Power Systems.

Shuva Paul, Zhen Ni, Chaoxu Mu

IEEE Trans. Neural Networks Learn. Syst., 2020

Low-cohesion differential privacy protection for industrial Internet.

Jun Hou, Qianmu Li, Shicheng Cui, Shunmei Meng, Sainan Zhang, Zhen Ni, Ye Tian

J. Supercomput., 2020

Cooperative Differential Game-Based Optimal Control and Its Application to Power Systems.

Chaoxu Mu, Ke Wang, Zhen Ni, Changyin Sun

IEEE Trans. Ind. Informatics, 2020

Pedestrian Flow Optimization to Reduce the Risk of Crowd Disasters Through Human-Robot Interaction.

Chao Jiang, Zhen Ni, Yi Guo, Haibo He

IEEE Trans. Emerg. Top. Comput. Intell., 2020

Robot-Assisted Pedestrian Regulation Based on Deep Reinforcement Learning.

Zhiqiang Wan, Chao Jiang, Muhammad Fahad, Zhen Ni, Yi Guo, Haibo He

IEEE Trans. Cybern., 2020

Analyzing bug fix for automatic bug cause classification.

Zhen Ni, Bin Li, Xiaobing Sun, Tianhao Chen, Ben Tang, Xinchen Shi

J. Syst. Softw., 2020

Fusion Learning Model for Mobile Face Safe Detection and Facial Gesture Analysis.

Zhen Ni, Qianmu Li

IEEE Access, 2020

An Analysis of Post Attack Impacts and Effects of Learning Parameters on Vulnerability Assessment of Power Grid.

Shuva Paul, Zhen Ni, Fei Ding

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

One-Shot Unsupervised Domain Adaptation for Object Detection.

Zhiqiang Wan, Lusi Li, Hepeng Li, Haibo He, Zhen Ni

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Learning Human-Robot Interaction for Robot-Assisted Pedestrian Flow Optimization.

Chao Jiang, Zhen Ni, Yi Guo, Haibo He

IEEE Trans. Syst. Man Cybern. Syst., 2019

A Multistage Game in Smart Grid Security: A Reinforcement Learning Solution.

Zhen Ni, Shuva Paul

IEEE Trans. Neural Networks Learn. Syst., 2019

Editorial: Booming of Neural Networks and Learning Systems.

Akira Hirose, Alessio Micheli, Artur S. d'Avila Garcez, Choon Ki Ahn, Gang Pan, Hamid Reza Karimi, Jianbing Shen, José de Jesús Rubio, Lei Zhang, Lingjia Liu, Lorenzo Livi, Nian Zhang, Nishchal K. Verma, Pedro Antonio Gutiérrez, Qi Tian, Qinglai Wei, Seiichi Ozawa, Stuart H. Rubin, Wei-Neng Chen, Xi Li, Xiaofeng Liao, Youmin Zhang, Zhen Ni, Haibo He

IEEE Trans. Neural Networks Learn. Syst., 2019

Prioritizing Useful Experience Replay for Heuristic Dynamic Programming-Based Learning Systems.

Zhen Ni, Naresh Malla, Xiangnan Zhong

IEEE Trans. Cybern., 2019

Bug Localization for Version Issues With Defect Patterns.

Xiaobing Sun, Wei Zhou, Bin Li, Zhen Ni, Jinting Lu

IEEE Access, 2019

DPRF: A Differential Privacy Protection Random Forest.

Jun Hou, Qianmu Li, Shunmei Meng, Zhen Ni, Yini Chen, Yaozong Liu

IEEE Access, 2019

A New Hybrid Model for Short-Term Electricity Load Forecasting.

Md. Rashedul Haq, Zhen Ni

IEEE Access, 2019

Advancing Network Function Virtualization Platforms with Programmable NICs.

Zhen Ni, Guyue Liu, Dennis Afanasev, Timothy Wood, Jinho Hwang

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.

Zhen Ni, Qianmu Li, Ting Li

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.

Xiaoqian Liu, Qianmu Li, Zhen Ni, Jun Hou

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.

Shuva Paul, Zhen Ni

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019

A Composite Extended Nearest Neighbor Model for Day-Ahead Load Forecasting.

Md. Rashedul Haq, Zhen Ni

Proceedings of the International Joint Conference on Neural Networks, 2019

Study of Learning of Power Grid Defense Strategy in Adversarial Stage Game.

Shuva Paul, Zhen Ni

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.

Shuva Paul, Md. Rashedul Haq, Avijit Das, Zhen Ni

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.

Md. Rashedul Haq, Zhen Ni

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.

Avijit Das, Zhen Ni

Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

Optimization of Merging Pedestrian Flows Based on Adaptive Dynamic Programming.

Chao Jiang, Yi Guo, Zhen Ni, Haibo He

Proceedings of the 2019 American Control Conference, 2019

2018

Electrical Distance Approach for Searching Vulnerable Branches During Contingencies.

Shiva Poudel, Zhen Ni, Wei Sun

IEEE Trans. Smart Grid, 2018

A Computationally Efficient Optimization Approach for Battery Systems in Islanded Microgrid.

Avijit Das, Zhen Ni

IEEE Trans. Smart Grid, 2018

Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game.

Xiangnan Zhong, Haibo He, Ding Wang, Zhen Ni

IEEE Trans. Cybern., 2018

Game-Model-Based Network Security Risk Control.

Zhen Ni, Qianmu Li, Gang Liu

Computer, 2018

A New Incentive-Based Optimization Scheme for Residential Community With Financial Trade-Offs.

Zhen Ni, Avijit Das

IEEE Access, 2018

CRIMES: Using Evidence to Secure the Cloud.

Sundaresan Rajasekaran, Harpreet Singh Chawla, Zhen Ni, Neel Shah, Emery D. Berger, Timothy Wood

Proceedings of the 19th International Middleware Conference, 2018

Measuring Performance and Isolation Tradeoffs for NFV.

Zhen Ni, Timothy Wood

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.

Xiangnan Zhong, Zhen Ni

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.

Shuva Paul, Zhen Ni

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Building an Exoskeleton Glove on Virtual Reality Platform.

Quazi Irfan, Calvin Jensen, Zhen Ni, Steven Hietpas

Proceedings of the 2018 IEEE International Conference on Electro/Information Technology, 2018

2017

Air-Breathing Hypersonic Vehicle Tracking Control Based on Adaptive Dynamic Programming.

Chaoxu Mu, Zhen Ni, Changyin Sun, Haibo He

IEEE Trans. Neural Networks Learn. Syst., 2017

Gr-GDHP: A New Architecture for Globalized Dual Heuristic Dynamic Programming.

Xiangnan Zhong, Zhen Ni, Haibo He

IEEE Trans. Cybern., 2017

Data-Driven Tracking Control With Adaptive Dynamic Programming for a Class of Continuous-Time Nonlinear Systems.

Chaoxu Mu, Zhen Ni, Changyin Sun, Haibo He

IEEE Trans. Cybern., 2017

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

Naresh Malla, Zhen Ni

Neurocomputing, 2017

Online learning control for harmonics reduction based on current controlled voltage source power inverters.

Naresh Malla, Ujjwol Tamrakar, Dipesh Shrestha, Zhen Ni, Reinaldo Tonkoski

IEEE CAA J. Autom. Sinica, 2017

VRer: Context-Based Venue Recommendation using embedded space ranking SVM in location-based social network.

Bin Xia, Zhen Ni, Tao Li, Qianmu Li, Qifeng Zhou

Expert Syst. Appl., 2017

A reinforcement learning approach for sequential decision-making process of attacks in smart grid.

Zhen Ni, Shuva Paul, Xiangnan Zhong, Qinglai Wei

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A computational intelligence approach for residential home energy management considering reward incentives.

Zhen Ni, Priti Paudyal, Xiangnan Zhong

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Optimization in load scheduling of a residential community using dynamic pricing.

Tamal Roy, Avijit Das, Zhen Ni

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

Vulnerability analysis for simultaneous attack in smart grid security.

Shuva Paul, Zhen Ni

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

Towards enabling deep learning techniques for adaptive dynamic programming.

Zhen Ni, Naresh Malla, Xiangnan Zhong

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Experimental verification of virtual inertia in diesel generator based microgrids.

Dipesh Shrestha, Ujjwol Tamrakar, Zhen Ni, Reinaldo Tonkoski

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.

Manisha Maharjan, Ujjwol Tamrakar, Naresh Malla, Fernando Bereta dos Reis, Zhen Ni, Timothy M. Hansen, Reinaldo Tonkoski

Proceedings of the IEEE International Conference on Electro Information Technology, 2017

2016

A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming.

Xiangnan Zhong, Zhen Ni, Haibo He

IEEE Trans. Neural Networks Learn. Syst., 2016

Adaptive Modulation for DFIG and STATCOM With High-Voltage Direct Current Transmission.

Yufei Tang, Haibo He, Zhen Ni, Jinyu Wen, Tingwen Huang

IEEE Trans. Neural Networks Learn. Syst., 2016

Fuzzy-Based Goal Representation Adaptive Dynamic Programming.

Yufei Tang, Haibo He, Zhen Ni, Xiangnan Zhong, Dongbin Zhao, Xin Xu

IEEE Trans. Fuzzy Syst., 2016

Fuzzy logic adjustment for power sharing in wind and PV-based isolated microgrid.

Lekhnath Kafle, Zhen Ni

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Near optimal control for microgrid energy systems considering battery lifetime characteristics.

Avijit Das, Zhen Ni, Xiangnan Zhong

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Cascading failures and transient stability experiment analysis in power grid security.

Shiva Poudel, Zhen Ni, Timothy M. Hansen, Reinaldo Tonkoski

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.

Avijit Das, Zhen Ni, Timothy M. Hansen, Xiangnan Zhong

Proceedings of the 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2016

Robot-assisted pedestrian regulation in an exit corridor.

Chao Jiang, Zhen Ni, Yi Guo, Haibo He

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.

Xiangnan Zhong, Zhen Ni, Haibo He

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.

Shiva Poudel, Zhen Ni, Xiangnan Zhong, Haibo He

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Scalable Cloud Security via Asynchronous Virtual Machine Introspection.

Sundaresan Rajasekaran, Zhen Ni, Harpreet Singh Chawla, Neel Shah, Timothy Wood, Emery D. Berger

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.

Dipesh Shrestha, Ujjwol Tamrakar, Naresh Malla, Zhen Ni, Reinaldo Tonkoski

Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

Frequency control of isolated micro-grid using a droop control approach.

Lekhnath Kafle, Zhen Ni, Reinaldo Tonkoski, Qiquan Qiao

Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

Supplementary control for virtual synchronous machine based on adaptive dynamic programming.

Naresh Malla, Dipesh Shrestha, Zhen Ni, Reinaldo Tonkoski

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming.

Zhen Ni, Haibo He, Dongbin Zhao, Xin Xu, Danil V. Prokhorov

IEEE Trans. Neural Networks Learn. Syst., 2015

Model-Free Dual Heuristic Dynamic Programming.

Zhen Ni, Haibo He, Xiangnan Zhong, Danil V. Prokhorov

IEEE Trans. Neural Networks Learn. Syst., 2015

Data-driven heuristic dynamic programming with virtual reality.

Xiao Fang, Dezhong Zheng, Haibo He, Zhen Ni

Neurocomputing, 2015

Event-triggered adaptive dynamic programming for continuous-time nonlinear system using measured input-output data.

Xiangnan Zhong, Zhen Ni, Haibo He

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A boundedness theoretical analysis for GrADP design: A case study on maze navigation.

Zhen Ni, Xiangnan Zhong, Haibo He

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A comparative study between motivated learning and reinforcement learning.

James T. Graham, Janusz A. Starzyk, Zhen Ni, Haibo He, Teck-Hou Teng, Ah-Hwee Tan

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

A WSN Nodes Access Mechanism and Directed Diffusion in Emergency Circumstances.

Zhen Ni, Qianmu Li, Tao Li, Yong Qi

J. Digit. Inf. Manag., 2014

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

Yufei Tang, Haibo He, Zhen Ni, Jinyu Wen, Xianchao Sui

Neurocomputing, 2014

Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system.

Xiangnan Zhong, Zhen Ni, Haibo He, Xin Xu, Dongbin Zhao

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A GPU-based real-time traffic sign detection and recognition system.

Zhilu Chen, Xinming Huang, Zhen Ni, Haibo He

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2014

Advancing motivated learning with goal creation.

James T. Graham, Janusz A. Starzyk, Zhen Ni, Haibo He

Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2014

Experimental studies on indoor sign recognition and classification.

Zhen Ni, Siyao Fu, Bo Tang, Haibo He, Xinming Huang

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.

Yufei Tang, Xiangnan Zhong, Zhen Ni, Jun Yan, Haibo He

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.

Zhen Ni, Yufei Tang, Haibo He, Jinyu Wen

Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014

Data-driven partially observable dynamic processes using adaptive dynamic programming.

Xiangnan Zhong, Zhen Ni, Yufei Tang, Haibo He

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013

Goal Representation Heuristic Dynamic Programming on Maze Navigation.

Zhen Ni, Haibo He, Jinyu Wen, Xin Xu

IEEE Trans. Neural Networks Learn. Syst., 2013

Adaptive Learning in Tracking Control Based on the Dual Critic Network Design.

Zhen Ni, Haibo He, Jinyu Wen

IEEE Trans. Neural Networks Learn. Syst., 2013

Heuristic dynamic programming with internal goal representation.

Zhen Ni, Haibo He

Soft Comput., 2013

Real-time tracking on adaptive critic design with uniformly ultimately bounded condition.

Zhen Ni, Xiao Fang, Haibo He, Dongbin Zhao, Xin Xu

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.

Haibo He, Zhen Ni, Jian Fu

Neurocomputing, 2012

Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming.

Zhen Ni, Haibo He, Dongbin Zhao, Danil V. Prokhorov

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

An Adaptive Dynamic Programming Approach for Closely-Coupled MIMO System Control.

Jian Fu, Haibo He, Qing Liu, Zhen Ni

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

An online actor-critic learning approach with Levenberg-Marquardt algorithm.

Zhen Ni, Haibo He, Danil V. Prokhorov, Jian Fu

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Adaptive dynamic programming with balanced weights seeking strategy.

Jian Fu, Haibo He, Zhen Ni

Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011