Adaptive dynamic programming with balanced weights seeking strategy. - Jian Fu; Haibo He; Zhen Ni (ADPRL, 2011)

An online actor-critic learning approach with Levenberg-Marquardt algorithm. - Zhen Ni; Haibo He; Danil V. Prokhorov; Jian Fu (IJCNN, 2011)

An Adaptive Dynamic Programming Approach for Closely-Coupled MIMO System Control. - Jian Fu; Haibo He; Qing Liu; Zhen Ni (ISNN (3), 2011)

Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming. - Zhen Ni; Haibo He; Dongbin Zhao; Danil V. Prokhorov (IJCNN, 2012)

A three-network architecture for on-line learning and optimization based on adaptive dynamic programming. - Haibo He; Zhen Ni; Jian Fu (Neurocomputing, 2012)

Real-time tracking on adaptive critic design with uniformly ultimately bounded condition. - Zhen Ni; Xiao Fang; Haibo He; Dongbin Zhao; Xin Xu 001 (ADPRL, 2013)

Heuristic dynamic programming with internal goal representation. - Zhen Ni; Haibo He (Soft Comput., 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)

Goal Representation Heuristic Dynamic Programming on Maze Navigation. - Zhen Ni; Haibo He; Jinyu Wen; Xin Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Data-driven partially observable dynamic processes using adaptive dynamic programming. - Xiangnan Zhong; Zhen Ni; Yufei Tang; Haibo He (ADPRL, 2014)

Multi-machine power system control based on dual heuristic dynamic programming. - Zhen Ni; Yufei Tang; Haibo He; Jinyu Wen (CIASG, 2014)

Impact of signal transmission delays on power system damping control using heuristic dynamic programming. - Yufei Tang; Xiangnan Zhong; Zhen Ni; Jun Yan 007; Haibo He (CIASG, 2014)

Experimental studies on indoor sign recognition and classification. - Zhen Ni; Siyao Fu; Bo Tang 011; Haibo He; Xinming Huang 001 (CIDM, 2014)

Advancing motivated learning with goal creation. - James T. Graham; Janusz A. Starzyk; Zhen Ni; Haibo He (CIHLI, 2014)

A GPU-based real-time traffic sign detection and recognition system. - Zhilu Chen; Xinming Huang 001; Zhen Ni; Haibo He (CIVTS, 2014)

Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system. - Xiangnan Zhong; Zhen Ni; Haibo He; Xin Xu 001; Dongbin Zhao (IJCNN, 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)

A WSN Nodes Access Mechanism and Directed Diffusion in Emergency Circumstances. - Zhen Ni; Qianmu Li; Tao Li 001; Yong Qi (J. Digit. Inf. Manag., 2014)

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 (IJCNN, 2015)

A boundedness theoretical analysis for GrADP design: A case study on maze navigation. - Zhen Ni; Xiangnan Zhong; Haibo He (IJCNN, 2015)

Event-triggered adaptive dynamic programming for continuous-time nonlinear system using measured input-output data. - Xiangnan Zhong; Zhen Ni; Haibo He (IJCNN, 2015)

Data-driven heuristic dynamic programming with virtual reality. - Xiao Fang; Dezhong Zheng; Haibo He; Zhen Ni (Neurocomputing, 2015)

Model-Free Dual Heuristic Dynamic Programming. - Zhen Ni; Haibo He; Xiangnan Zhong; Danil V. Prokhorov (IEEE Trans. Neural Networks Learn. Syst., 2015)

GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming. - Zhen Ni; Haibo He; Dongbin Zhao; Xin Xu 001; Danil V. Prokhorov (IEEE Trans. Neural Networks Learn. Syst., 2015)

Supplementary control for virtual synchronous machine based on adaptive dynamic programming. - Naresh Malla; Dipesh Shrestha; Zhen Ni; Reinaldo Tonkoski (CEC, 2016)

Frequency control of isolated micro-grid using a droop control approach. - Lekhnath Kafle; Zhen Ni; Reinaldo Tonkoski; Qiquan Qiao (EIT, 2016)

Reduction of energy consumption of virtual synchronous machine using supplementary adaptive dynamic programming. - Dipesh Shrestha; Ujjwol Tamrakar; Naresh Malla; Zhen Ni; Reinaldo Tonkoski (EIT, 2016)

Scalable Cloud Security via Asynchronous Virtual Machine Introspection. - Sundaresan Rajasekaran; Zhen Ni; Harpreet Singh Chawla; Neel Shah; Timothy Wood 001; Emery D. Berger (HotCloud, 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 (IJCNN, 2016)

Convergence analysis of GrDHP-based optimal control for discrete-time nonlinear system. - Xiangnan Zhong; Zhen Ni; Haibo He (IJCNN, 2016)

Robot-assisted pedestrian regulation in an exit corridor. - Chao Jiang 001; Zhen Ni; Yi Guo 004; Haibo He (IROS, 2016)

Energy storage system operation: Case studies in deterministic and stochastic environments. - Avijit Das; Zhen Ni; Timothy M. Hansen; Xiangnan Zhong (ISGT, 2016)

Cascading failures and transient stability experiment analysis in power grid security. - Shiva Poudel; Zhen Ni; Timothy M. Hansen; Reinaldo Tonkoski (ISGT, 2016)

Near optimal control for microgrid energy systems considering battery lifetime characteristics. - Avijit Das; Zhen Ni; Xiangnan Zhong (SSCI, 2016)

Fuzzy logic adjustment for power sharing in wind and PV-based isolated microgrid. - Lekhnath Kafle; Zhen Ni (SSCI, 2016)

Fuzzy-Based Goal Representation Adaptive Dynamic Programming. - Yufei Tang; Haibo He; Zhen Ni; Xiangnan Zhong; Dongbin Zhao; Xin Xu 001 (IEEE Trans. Fuzzy 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)

A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming. - Xiangnan Zhong; Zhen Ni; Haibo He (IEEE Trans. Neural Networks Learn. Syst., 2016)

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 (EIT, 2017)

Experimental verification of virtual inertia in diesel generator based microgrids. - Dipesh Shrestha; Ujjwol Tamrakar; Zhen Ni; Reinaldo Tonkoski (ICIT, 2017)

Towards enabling deep learning techniques for adaptive dynamic programming. - Zhen Ni; Naresh Malla; Xiangnan Zhong (IJCNN, 2017)

Vulnerability analysis for simultaneous attack in smart grid security. - Shuva Paul; Zhen Ni (ISGT, 2017)

Optimization in load scheduling of a residential community using dynamic pricing. - Tamal Roy; Avijit Das; Zhen Ni (ISGT, 2017)

A computational intelligence approach for residential home energy management considering reward incentives. - Zhen Ni; Priti Paudyal; Xiangnan Zhong (SSCI, 2017)

A reinforcement learning approach for sequential decision-making process of attacks in smart grid. - Zhen Ni; Shuva Paul; Xiangnan Zhong; Qinglai Wei (SSCI, 2017)

VRer: Context-Based Venue Recommendation using embedded space ranking SVM in location-based social network. - Bin Xia 003; Zhen Ni; Tao Li 001; Qianmu Li; Qifeng Zhou (Expert Syst. Appl., 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)

A new history experience replay design for model-free adaptive dynamic programming. - Naresh Malla; Zhen Ni (Neurocomputing, 2017)

Data-Driven Tracking Control With Adaptive Dynamic Programming for a Class of Continuous-Time Nonlinear Systems. - Chaoxu Mu; Zhen Ni; Changyin Sun 001; Haibo He (IEEE Trans. Cybern., 2017)

Gr-GDHP: A New Architecture for Globalized Dual Heuristic Dynamic Programming. - Xiangnan Zhong; Zhen Ni; Haibo He (IEEE Trans. Cybern., 2017)

Air-Breathing Hypersonic Vehicle Tracking Control Based on Adaptive Dynamic Programming. - Chaoxu Mu; Zhen Ni; Changyin Sun 001; Haibo He (IEEE Trans. Neural Networks Learn. Syst., 2017)

Building an Exoskeleton Glove on Virtual Reality Platform. - Quazi Irfan; Calvin Jensen; Zhen Ni; Steven Hietpas (EIT, 2018)

A Study of Linear Programming and Reinforcement Learning for One-Shot Game in Smart Grid Security. - Shuva Paul; Zhen Ni (IJCNN, 2018)

Data-Driven Reinforcement Learning Design for Multi-agent Systems with Unknown Disturbances. - Xiangnan Zhong; Zhen Ni (IJCNN, 2018)

Measuring Performance and Isolation Tradeoffs for NFV. - Zhen Ni; Timothy Wood 001 (LANMAN, 2018)

CRIMES: Using Evidence to Secure the Cloud. - Sundaresan Rajasekaran; Harpreet Singh Chawla; Zhen Ni; Neel Shah; Emery D. Berger; Timothy Wood 001 (Middleware, 2018)

A New Incentive-Based Optimization Scheme for Residential Community With Financial Trade-Offs. - Zhen Ni; Avijit Das (IEEE Access, 2018)

Game-Model-Based Network Security Risk Control. - Zhen Ni; Qianmu Li; Gang Liu (Computer, 2018)

Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game. - Xiangnan Zhong; Haibo He; Ding Wang 001; Zhen Ni (IEEE Trans. Cybern., 2018)

A Computationally Efficient Optimization Approach for Battery Systems in Islanded Microgrid. - Avijit Das; Zhen Ni (IEEE Trans. Smart Grid, 2018)

Electrical Distance Approach for Searching Vulnerable Branches During Contingencies. - Shiva Poudel; Zhen Ni; Wei Sun 024 (IEEE Trans. Smart Grid, 2018)

Optimization of Merging Pedestrian Flows Based on Adaptive Dynamic Programming. - Chao Jiang 001; Yi Guo 004; Zhen Ni; Haibo He (ACC, 2019)

A Case Study of Horizon Window in Receding Horizon Control for Renewable Energy Integration. - Avijit Das; Zhen Ni (EIT, 2019)

Classification of Electricity Load Profile Data and The Prediction of Load Demand Variability. - Md. Rashedul Haq; Zhen Ni (EIT, 2019)

A Comparative Study of Smart Grid Security Based on Unsupervised Learning and Load Ranking. - Shuva Paul; Md. Rashedul Haq; Avijit Das; Zhen Ni (EIT, 2019)

Study of Learning of Power Grid Defense Strategy in Adversarial Stage Game. - Shuva Paul; Zhen Ni (EIT, 2019)

A Composite Extended Nearest Neighbor Model for Day-Ahead Load Forecasting. - Md. Rashedul Haq; Zhen Ni (IJCNN, 2019)

A Strategic Analysis of Attacker-Defender Repeated Game in Smart Grid Security. - Shuva Paul; Zhen Ni (ISGT, 2019)

Differentially Private Recommender System with Autoencoders. - Xiaoqian Liu; Qianmu Li; Zhen Ni; Jun Hou 002 (iThings/GreenCom/CPSCom/SmartData, 2019)

Design of Dynamic Analysis and Grammar Generation Method in Industrial Control Protocols Test. - Zhen Ni; Qianmu Li; Ting Li (iThings/GreenCom/CPSCom/SmartData, 2019)

Advancing Network Function Virtualization Platforms with Programmable NICs. - Zhen Ni; Guyue Liu; Dennis Afanasev; Timothy Wood 001; Jinho Hwang (LANMAN, 2019)

A New Hybrid Model for Short-Term Electricity Load Forecasting. - Md. Rashedul Haq; Zhen Ni (IEEE Access, 2019)

DPRF: A Differential Privacy Protection Random Forest. - Jun Hou 002; Qianmu Li; Shunmei Meng; Zhen Ni; Yini Chen; Yaozong Liu (IEEE Access, 2019)

Bug Localization for Version Issues With Defect Patterns. - Xiaobing Sun 001; Wei Zhou; Bin Li 006; Zhen Ni; Jinting Lu (IEEE Access, 2019)

Prioritizing Useful Experience Replay for Heuristic Dynamic Programming-Based Learning Systems. - Zhen Ni; Naresh Malla; Xiangnan Zhong (IEEE Trans. Cybern., 2019)

Editorial: Booming of Neural Networks and Learning Systems. - Akira Hirose 001; Alessio Micheli; Artur S. d'Avila Garcez; Choon Ki Ahn; Gang Pan 001; Hamid Reza Karimi; Jianbing Shen; José de Jesús Rubio; Lei Zhang 005; Lingjia Liu 001; Lorenzo Livi; Nian Zhang; et al. (IEEE Trans. Neural Networks Learn. Syst., 2019)

A Multistage Game in Smart Grid Security: A Reinforcement Learning Solution. - Zhen Ni; Shuva Paul (IEEE Trans. Neural Networks Learn. Syst., 2019)

Learning Human-Robot Interaction for Robot-Assisted Pedestrian Flow Optimization. - Chao Jiang 001; Zhen Ni; Yi Guo 004; Haibo He (IEEE Trans. Syst. Man Cybern. Syst., 2019)

One-Shot Unsupervised Domain Adaptation for Object Detection. - Zhiqiang Wan; Lusi Li; Hepeng Li; Haibo He; Zhen Ni (IJCNN, 2020)

An Analysis of Post Attack Impacts and Effects of Learning Parameters on Vulnerability Assessment of Power Grid. - Shuva Paul; Zhen Ni; Fei Ding (ISGT, 2020)

Fusion Learning Model for Mobile Face Safe Detection and Facial Gesture Analysis. - Zhen Ni; Qianmu Li (IEEE Access, 2020)

Analyzing bug fix for automatic bug cause classification. - Zhen Ni; Bin Li 006; Xiaobing Sun 001; Tianhao Chen; Ben Tang; Xinchen Shi (J. Syst. Softw., 2020)

Robot-Assisted Pedestrian Regulation Based on Deep Reinforcement Learning. - Zhiqiang Wan; Chao Jiang 001; Muhammad Fahad 003; Zhen Ni; Yi Guo 004; Haibo He (IEEE Trans. Cybern., 2020)

Pedestrian Flow Optimization to Reduce the Risk of Crowd Disasters Through Human-Robot Interaction. - Chao Jiang 001; Zhen Ni; Yi Guo 004; Haibo He (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

Cooperative Differential Game-Based Optimal Control and Its Application to Power Systems. - Chaoxu Mu; Ke Wang 037; Zhen Ni; Changyin Sun 001 (IEEE Trans. Ind. Informatics, 2020)

Low-cohesion differential privacy protection for industrial Internet. - Jun Hou 002; Qianmu Li; Shicheng Cui; Shunmei Meng; Sainan Zhang; Zhen Ni; Ye Tian (J. Supercomput., 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)

A Novel Fitted Rolling Horizon Control Approach for Real-Time Policy Making in Microgrid. - Avijit Das; Zhen Ni (IEEE Trans. Smart Grid, 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 SmartNIC-based Load Balancing and Auto Scaling Framework for Middlebox Edge Server. - Zhen Ni; Cuidi Wei; Timothy Wood 001; Nakjung Choi (NFV-SDN, 2021)

An Intelligent and Secure Control Approach for Nonlinear Systems under Attacks. - Xiangnan Zhong; Zhen Ni (SSCI, 2021)

An Efficient Distributed Reinforcement Learning for Enhanced Multi-Microgrid Management. - Avijit Das; Zhen Ni; Di Wu 021 (IJCNN, 2022)

Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment. - Yanbin Lin; Zhen Ni; Xiangnan Zhong (IJCNN, 2022)

Hierarchical attention and feature projection for click-through rate prediction. - Jinjin Zhang; Chengliang Zhong; Shouxiang Fan; Xiaodong Mu; Zhen Ni (Appl. Intell., 2022)

Semi-Supervised Representative Region Texture Extraction of Façade. - Zhen Ni; Guitao Cao; Ye Duan (CoRR, 2022)

An approach of method-level bug localization. - Zhen Ni; Lili Bo; Bin Li 006; Tianhao Chen; Xiaobing Sun 001; Xiaoxue Wu 001 (IET Softw., 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 002; Hao Lin 001; Dong Wang 011 (Nucleic Acids Res., 2022)

Adaptive Learning and Sampled-Control for Nonlinear Game Systems Using Dynamic Event-Triggering Strategy. - Chaoxu Mu; Ke Wang 037; Zhen Ni (IEEE Trans. Neural Networks Learn. Syst., 2022)

Adaptive composite frequency control of power systems using reinforcement learning. - Chaoxu Mu; Ke Wang 037; Shiqian Ma; Zhiqiang Chong; Zhen Ni (CAAI Trans. Intell. Technol., 2022)

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 001; Henri Casanova; Vipin Chaudhary; Dirk Colbry; Lonnie D. Crosby; et al. (CoRR, 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)

Carbon Dioxide Emissions Monitoring and Analysis of Coal-Fired Units under Different Techniques. - Zhen Ni; Haidong Fan; Xiang Wang; Tongxing Zhang; Shengguang Wu; Feng Yin; Chang Tian (DTPI, 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., 2024)

Federated Learning for Crowd Counting in Smart Surveillance Systems. - Yiran Pang; Zhen Ni; Xiangnan Zhong (IEEE Internet Things J., 2024)

A Neural-Reinforcement-Learning-Based Guaranteed Cost Control for Perturbed Tracking Systems. - Xiangnan Zhong; Zhen Ni (IEEE Trans. Artif. Intell., 2024)

Safe Reinforcement Learning and Adaptive Optimal Control With Applications to Obstacle Avoidance Problem. - Ke Wang 037; Chaoxu Mu; Zhen Ni; Derong Liu 001 (IEEE Trans Autom. Sci. Eng., 2024)

Multimodal information-driven intelligent damage detection framework for full components of highway prefabricated bridges. - Xinxiang Xu; Jiawang Zhan; Zhihang Wang; Zhen Ni; Chuang Wang (Adv. Eng. Informatics, 2025)

A fast federated reinforcement learning approach with phased weight-adjustment technique. - Yiran Pang; Zhen Ni; Xiangnan Zhong (Neurocomputing, 2025)

A Two-Level Neural-RL-Based Approach for Hierarchical Multiplayer Systems Under Mismatched Uncertainties. - Xiangnan Zhong; Zhen Ni (IEEE Trans. Artif. Intell., 2025)

A Robust Multi-Virtual-Agent Inverse Reinforcement Learning Approach With Data Aggregation for Perturbed Environments. - Yanbin Lin; Zhen Ni (IEEE Trans. Neural Networks Learn. Syst., 2025)