Zhen Ni

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 87

Top Venues

IJCNN

IEEE Trans. Neural Networks Learn. Syst.

EIT

ISGT

Publications

Yiran Pang, Zhen Ni, Xiangnan Zhong
Federated Learning for Crowd Counting in Smart Surveillance Systems. IEEE Internet Things J. 11 (3) (2024)
Xiangnan Zhong, Zhen Ni
A Neural-Reinforcement-Learning-Based Guaranteed Cost Control for Perturbed Tracking Systems. IEEE Trans. Artif. Intell. 5 (6) (2024)
Ke Wang, Chaoxu Mu, Zhen Ni, Derong Liu
Safe Reinforcement Learning and Adaptive Optimal Control With Applications to Obstacle Avoidance Problem. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
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) (2024)
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 Crosby, Prasun Dewan, Jessica Eisma, Nicole M. Gasparini, Ahmed Irfan, Kate Kaehey, Qianqian Liu, Zhen Ni, Sushil K. Prasad, Apan Qasem, Erik Saule, Prabha Sundaravadivel, Karen Tomko
Report on 2023 CyberTraining PI Meeting, 26-27 September 2023. CoRR (2023)
Xiaoyao Zheng, Baoting Han, Zhen Ni
Tourism Route Recommendation Based on A Multi-Objective Evolutionary Algorithm Using Two-Stage Decomposition and Pareto Layering. IEEE CAA J. Autom. Sinica 10 (2) (2023)
Yanbin Lin, Zhen Ni, Xiangnan Zhong
Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment. IJCNN (2022)
Avijit Das, Zhen Ni, Di Wu
An Efficient Distributed Reinforcement Learning for Enhanced Multi-Microgrid Management. IJCNN (2022)
Zhen Ni, Guitao Cao, Ye Duan
Semi-Supervised Representative Region Texture Extraction of Façade. CoRR (2022)
Chaoxu Mu, Ke Wang, Zhen Ni
Adaptive Learning and Sampled-Control for Nonlinear Game Systems Using Dynamic Event-Triggering Strategy. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Zhen Ni, Lili Bo, Bin Li, Tianhao Chen, Xiaobing Sun, Xiaoxue Wu
An approach of method-level bug localization. IET Softw. 16 (4) (2022)
Jinjin Zhang, Chengliang Zhong, Shouxiang Fan, Xiaodong Mu, Zhen Ni
Hierarchical attention and feature projection for click-through rate prediction. Appl. Intell. 52 (8) (2022)
Chaoxu Mu, Ke Wang, Shiqian Ma, Zhiqiang Chong, Zhen Ni
Adaptive composite frequency control of power systems using reinforcement learning. CAAI Trans. Intell. Technol. 7 (4) (2022)
Tianyu Cui, Yiying Dou, Puwen Tan, Zhen Ni, Tianyuan Liu, Duolin Wang, Yan Huang, Kaican Cai, Xiaoyang Zhao, Dong Xu, Hao Lin, Dong Wang
RNALocate v2.0: an updated resource for RNA subcellular localization with increased coverage and annotation. Nucleic Acids Res. 50 (D1) (2022)
Zhen Ni, Cuidi Wei, Timothy Wood, Nakjung Choi
A SmartNIC-based Load Balancing and Auto Scaling Framework for Middlebox Edge Server. NFV-SDN (2021)
Xiangnan Zhong, Zhen Ni
An Intelligent and Secure Control Approach for Nonlinear Systems under Attacks. SSCI (2021)
Shuva Paul, Zhen Ni, Chaoxu Mu
A Learning-Based Solution for an Adversarial Repeated Game in Cyber-Physical Power Systems. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Chao Jiang, Zhen Ni, Yi Guo, Haibo He
Pedestrian Flow Optimization to Reduce the Risk of Crowd Disasters Through Human-Robot Interaction. IEEE Trans. Emerg. Top. Comput. Intell. 4 (3) (2020)
Jun Hou, Qianmu Li, Shicheng Cui, Shunmei Meng, Sainan Zhang, Zhen Ni, Ye Tian
Low-cohesion differential privacy protection for industrial Internet. J. Supercomput. 76 (11) (2020)
Shuva Paul, Zhen Ni, Fei Ding
An Analysis of Post Attack Impacts and Effects of Learning Parameters on Vulnerability Assessment of Power Grid. ISGT (2020)
Zhen Ni, Qianmu Li
Fusion Learning Model for Mobile Face Safe Detection and Facial Gesture Analysis. IEEE Access 8 (2020)
Zhiqiang Wan, Chao Jiang, Muhammad Fahad, Zhen Ni, Yi Guo, Haibo He
Robot-Assisted Pedestrian Regulation Based on Deep Reinforcement Learning. IEEE Trans. Cybern. 50 (4) (2020)
Avijit Das, Zhen Ni
A Novel Fitted Rolling Horizon Control Approach for Real-Time Policy Making in Microgrid. IEEE Trans. Smart Grid 11 (4) (2020)
Zhiqiang Wan, Lusi Li, Hepeng Li, Haibo He, Zhen Ni
One-Shot Unsupervised Domain Adaptation for Object Detection. IJCNN (2020)
Chaoxu Mu, Ke Wang, Zhen Ni, Changyin Sun
Cooperative Differential Game-Based Optimal Control and Its Application to Power Systems. IEEE Trans. Ind. Informatics 16 (8) (2020)
Priti Paudyal, Prateek Munankarmi, Zhen Ni, Timothy M. Hansen
A Hierarchical Control Framework With a Novel Bidding Scheme for Residential Community Energy Optimization. IEEE Trans. Smart Grid 11 (1) (2020)
Zhen Ni, Bin Li, Xiaobing Sun, Tianhao Chen, Ben Tang, Xinchen Shi
Analyzing bug fix for automatic bug cause classification. J. Syst. Softw. 163 (2020)
Xiaobing Sun, Wei Zhou, Bin Li, Zhen Ni, Jinting Lu
Bug Localization for Version Issues With Defect Patterns. IEEE Access 7 (2019)
Zhen Ni, Qianmu Li, Ting Li
Design of Dynamic Analysis and Grammar Generation Method in Industrial Control Protocols Test. iThings/GreenCom/CPSCom/SmartData (2019)
Md. Rashedul Haq, Zhen Ni
A New Hybrid Model for Short-Term Electricity Load Forecasting. IEEE Access 7 (2019)
Zhen Ni, Naresh Malla, Xiangnan Zhong
Prioritizing Useful Experience Replay for Heuristic Dynamic Programming-Based Learning Systems. IEEE Trans. Cybern. 49 (11) (2019)
Avijit Das, Zhen Ni
A Case Study of Horizon Window in Receding Horizon Control for Renewable Energy Integration. EIT (2019)
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
Editorial: Booming of Neural Networks and Learning Systems. IEEE Trans. Neural Networks Learn. Syst. 30 (1) (2019)
Md. Rashedul Haq, Zhen Ni
Classification of Electricity Load Profile Data and The Prediction of Load Demand Variability. EIT (2019)
Shuva Paul, Zhen Ni
Study of Learning of Power Grid Defense Strategy in Adversarial Stage Game. EIT (2019)
Zhen Ni, Shuva Paul
A Multistage Game in Smart Grid Security: A Reinforcement Learning Solution. IEEE Trans. Neural Networks Learn. Syst. 30 (9) (2019)
Zhen Ni, Guyue Liu, Dennis Afanasev, Timothy Wood, Jinho Hwang
Advancing Network Function Virtualization Platforms with Programmable NICs. LANMAN (2019)
Chao Jiang, Zhen Ni, Yi Guo, Haibo He
Learning Human-Robot Interaction for Robot-Assisted Pedestrian Flow Optimization. IEEE Trans. Syst. Man Cybern. Syst. 49 (4) (2019)
Shuva Paul, Zhen Ni
A Strategic Analysis of Attacker-Defender Repeated Game in Smart Grid Security. ISGT (2019)
Md. Rashedul Haq, Zhen Ni
A Composite Extended Nearest Neighbor Model for Day-Ahead Load Forecasting. IJCNN (2019)
Shuva Paul, Md. Rashedul Haq, Avijit Das, Zhen Ni
A Comparative Study of Smart Grid Security Based on Unsupervised Learning and Load Ranking. EIT (2019)
Chao Jiang, Yi Guo, Zhen Ni, Haibo He
Optimization of Merging Pedestrian Flows Based on Adaptive Dynamic Programming. ACC (2019)
Xiaoqian Liu, Qianmu Li, Zhen Ni, Jun Hou
Differentially Private Recommender System with Autoencoders. iThings/GreenCom/CPSCom/SmartData (2019)
Jun Hou, Qianmu Li, Shunmei Meng, Zhen Ni, Yini Chen, Yaozong Liu
DPRF: A Differential Privacy Protection Random Forest. IEEE Access 7 (2019)
Xiangnan Zhong, Haibo He, Ding Wang, Zhen Ni
Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game. IEEE Trans. Cybern. 48 (5) (2018)
Zhen Ni, Qianmu Li, Gang Liu
Game-Model-Based Network Security Risk Control. Computer 51 (4) (2018)
Shiva Poudel, Zhen Ni, Wei Sun
Electrical Distance Approach for Searching Vulnerable Branches During Contingencies. IEEE Trans. Smart Grid 9 (4) (2018)
Quazi Irfan, Calvin Jensen, Zhen Ni, Steven Hietpas
Building an Exoskeleton Glove on Virtual Reality Platform. EIT (2018)
Xiangnan Zhong, Zhen Ni
Data-Driven Reinforcement Learning Design for Multi-agent Systems with Unknown Disturbances. IJCNN (2018)
Zhen Ni, Timothy Wood
Measuring Performance and Isolation Tradeoffs for NFV. LANMAN (2018)
Zhen Ni, Avijit Das
A New Incentive-Based Optimization Scheme for Residential Community With Financial Trade-Offs. IEEE Access 6 (2018)
Avijit Das, Zhen Ni
A Computationally Efficient Optimization Approach for Battery Systems in Islanded Microgrid. IEEE Trans. Smart Grid 9 (6) (2018)
Sundaresan Rajasekaran, Harpreet Singh Chawla, Zhen Ni, Neel Shah, Emery D. Berger, Timothy Wood
CRIMES: Using Evidence to Secure the Cloud. Middleware (2018)
Shuva Paul, Zhen Ni
A Study of Linear Programming and Reinforcement Learning for One-Shot Game in Smart Grid Security. IJCNN (2018)
Bin Xia, Zhen Ni, Tao Li, Qianmu Li, Qifeng Zhou
VRer: Context-Based Venue Recommendation using embedded space ranking SVM in location-based social network. Expert Syst. Appl. 83 (2017)
Tamal Roy, Avijit Das, Zhen Ni
Optimization in load scheduling of a residential community using dynamic pricing. ISGT (2017)
Xiangnan Zhong, Zhen Ni, Haibo He
Gr-GDHP: A New Architecture for Globalized Dual Heuristic Dynamic Programming. IEEE Trans. Cybern. 47 (10) (2017)
Zhen Ni, Shuva Paul, Xiangnan Zhong, Qinglai Wei
A reinforcement learning approach for sequential decision-making process of attacks in smart grid. SSCI (2017)
Chaoxu Mu, Zhen Ni, Changyin Sun, Haibo He
Data-Driven Tracking Control With Adaptive Dynamic Programming for a Class of Continuous-Time Nonlinear Systems. IEEE Trans. Cybern. 47 (6) (2017)
Dipesh Shrestha, Ujjwol Tamrakar, Zhen Ni, Reinaldo Tonkoski
Experimental verification of virtual inertia in diesel generator based microgrids. ICIT (2017)
Zhen Ni, Priti Paudyal, Xiangnan Zhong
A computational intelligence approach for residential home energy management considering reward incentives. SSCI (2017)
Zhen Ni, Naresh Malla, Xiangnan Zhong
Towards enabling deep learning techniques for adaptive dynamic programming. IJCNN (2017)
Shuva Paul, Zhen Ni
Vulnerability analysis for simultaneous attack in smart grid security. ISGT (2017)
Chaoxu Mu, Zhen Ni, Changyin Sun, Haibo He
Air-Breathing Hypersonic Vehicle Tracking Control Based on Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 28 (3) (2017)
Naresh Malla, Ujjwol Tamrakar, Dipesh Shrestha, Zhen Ni, Reinaldo Tonkoski
Online learning control for harmonics reduction based on current controlled voltage source power inverters. IEEE CAA J. Autom. Sinica 4 (3) (2017)
Naresh Malla, Zhen Ni
A new history experience replay design for model-free adaptive dynamic programming. Neurocomputing 266 (2017)
Manisha Maharjan, Ujjwol Tamrakar, Naresh Malla, Fernando Bereta dos Reis, Zhen Ni, Timothy M. Hansen, Reinaldo Tonkoski
Adaptive droop-based active power curtailment method for overvoltage prevention in low voltage distribution network. EIT (2017)
Shiva Poudel, Zhen Ni, Timothy M. Hansen, Reinaldo Tonkoski
Cascading failures and transient stability experiment analysis in power grid security. ISGT (2016)
Xiangnan Zhong, Zhen Ni, Haibo He
A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 27 (12) (2016)
Lekhnath Kafle, Zhen Ni
Fuzzy logic adjustment for power sharing in wind and PV-based isolated microgrid. SSCI (2016)
Xiangnan Zhong, Zhen Ni, Haibo He
Convergence analysis of GrDHP-based optimal control for discrete-time nonlinear system. IJCNN (2016)
Dipesh Shrestha, Ujjwol Tamrakar, Naresh Malla, Zhen Ni, Reinaldo Tonkoski
Reduction of energy consumption of virtual synchronous machine using supplementary adaptive dynamic programming. EIT (2016)
Lekhnath Kafle, Zhen Ni, Reinaldo Tonkoski, Qiquan Qiao
Frequency control of isolated micro-grid using a droop control approach. EIT (2016)
Naresh Malla, Dipesh Shrestha, Zhen Ni, Reinaldo Tonkoski
Supplementary control for virtual synchronous machine based on adaptive dynamic programming. CEC (2016)
Sundaresan Rajasekaran, Zhen Ni, Harpreet Singh Chawla, Neel Shah, Timothy Wood, Emery D. Berger
Scalable Cloud Security via Asynchronous Virtual Machine Introspection. HotCloud (2016)
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)
Avijit Das, Zhen Ni, Xiangnan Zhong
Near optimal control for microgrid energy systems considering battery lifetime characteristics. SSCI (2016)
Chao Jiang, Zhen Ni, Yi Guo, Haibo He
Robot-assisted pedestrian regulation in an exit corridor. IROS (2016)
Yufei Tang, Haibo He, Zhen Ni, Jinyu Wen, Tingwen Huang
Adaptive Modulation for DFIG and STATCOM With High-Voltage Direct Current Transmission. IEEE Trans. Neural Networks Learn. Syst. 27 (8) (2016)
Avijit Das, Zhen Ni, Timothy M. Hansen, Xiangnan Zhong
Energy storage system operation: Case studies in deterministic and stochastic environments. ISGT (2016)
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) (2016)
Zhen Ni, Haibo He, Xiangnan Zhong, Danil V. Prokhorov
Model-Free Dual Heuristic Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 26 (8) (2015)
Xiangnan Zhong, Zhen Ni, Haibo He
Event-triggered adaptive dynamic programming for continuous-time nonlinear system using measured input-output data. IJCNN (2015)
Xiao Fang, Dezhong Zheng, Haibo He, Zhen Ni
Data-driven heuristic dynamic programming with virtual reality. Neurocomputing 166 (2015)
James T. Graham, Janusz A. Starzyk, Zhen Ni, Haibo He, T.-H. Teng, Ah-Hwee Tan
A comparative study between motivated learning and reinforcement learning. IJCNN (2015)
Zhen Ni, Xiangnan Zhong, Haibo He
A boundedness theoretical analysis for GrADP design: A case study on maze navigation. IJCNN (2015)
Zhen Ni, Haibo He, Dongbin Zhao, Xin Xu, Danil V. Prokhorov
GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 26 (3) (2015)
Zhen Ni, Siyao Fu, Bo Tang, Haibo He, Xinming Huang
Experimental studies on indoor sign recognition and classification. CIDM (2014)
Zhilu Chen, Xinming Huang, Zhen Ni, Haibo He
A GPU-based real-time traffic sign detection and recognition system. CIVTS (2014)
Zhen Ni, Qianmu Li, Tao Li, Yong Qi
A WSN Nodes Access Mechanism and Directed Diffusion in Emergency Circumstances. J. Digit. Inf. Manag. 12 (4) (2014)
Xiangnan Zhong, Zhen Ni, Haibo He, Xin Xu, Dongbin Zhao
Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system. IJCNN (2014)
Xiangnan Zhong, Zhen Ni, Yufei Tang, Haibo He
Data-driven partially observable dynamic processes using adaptive dynamic programming. ADPRL (2014)
Yufei Tang, Haibo He, Zhen Ni, Jinyu Wen, Xianchao Sui
Reactive power control of grid-connected wind farm based on adaptive dynamic programming. Neurocomputing 125 (2014)
James T. Graham, Janusz A. Starzyk, Zhen Ni, Haibo He
Advancing motivated learning with goal creation. CIHLI (2014)
Zhen Ni, Yufei Tang, Haibo He, Jinyu Wen
Multi-machine power system control based on dual heuristic dynamic programming. CIASG (2014)
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)
Zhen Ni, Haibo He, Jinyu Wen, Xin Xu
Goal Representation Heuristic Dynamic Programming on Maze Navigation. IEEE Trans. Neural Networks Learn. Syst. 24 (12) (2013)
Zhen Ni, Haibo He, Jinyu Wen
Adaptive Learning in Tracking Control Based on the Dual Critic Network Design. IEEE Trans. Neural Networks Learn. Syst. 24 (6) (2013)
Zhen Ni, Haibo He
Heuristic dynamic programming with internal goal representation. Soft Comput. 17 (11) (2013)
Zhen Ni, Xiao Fang, Haibo He, Dongbin Zhao, Xin Xu
Real-time tracking on adaptive critic design with uniformly ultimately bounded condition. ADPRL (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhen Ni