A fuzzy attributed graph approach to subcircuit extraction problem. - Nian Zhang; Donald C. Wunsch II (FUZZ-IEEE, 2003)

An extended Kalman filter (EKF) approach on fuzzy system optimization problem. - Nian Zhang; Donald C. Wunsch II (FUZZ-IEEE, 2003)

Fuzzy logic in collective robotic search. - Nian Zhang; Donald C. Wunsch II (FUZZ-IEEE, 2003)

A comparison of dual heuristic programming (DHP) and neural network based stochastic optimization approach on collective robotic search problem. - Nian Zhang; Donald C. Wunsch II (IJCNN, 2003)

Time series prediction with recurrent neural networks using a hybrid PSO-EA algorithm. - Xindi Cai; Nian Zhang; Ganesh K. Venayagamoorthy; Donald C. Wunsch II (IJCNN, 2004)

An Embedded Real-Time Neuro-Fuzzy Controller for Mobile Robot Navigation. - Nian Zhang; Daryl G. Beetner; Donald C. Wunsch II; Brian Hemmelman; Abul Hasan (FUZZ-IEEE, 2005)

A Switched-Resistor Approach to Hardware Implementation of Neural Networks. - Nian Zhang; Donald C. Wunsch II (FUZZ-IEEE, 2005)

Application of Collective Robotic Search Using Neural Network Based Dual Heuristic Programming (DHP). - Nian Zhang; Donald C. Wunsch II (ISNN (2), 2006)

Speeding up VLSI Layout Verification Using Fuzzy Attributed Graphs Approach. - Nian Zhang; Donald C. Wunsch II (IEEE Trans. Fuzzy Syst., 2006)

Behavior-Based Autonomous Robot Navigation on Challenging Terrain: A Dual Fuzzy Logic Approach. - Kiwon Park; Nian Zhang (FOCI, 2007)

Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm. - Xindi Cai; Nian Zhang; Ganesh K. Venayagamoorthy; Donald C. Wunsch II (Neurocomputing, 2007)

Real time implementation of Particle Swarm Optimiation based model parameter identification and an application example. - Li Liu 007; Wenxin Liu 001; David A. Cartes; Nian Zhang (IEEE Congress on Evolutionary Computation, 2008)

A hybrid fuzzy logic controllers for complex environment. - Nian Zhang; Kiwon Park (ICNSC, 2010)

Intrinsic dimension estimation based on maximum likelihood estimator and reverse k nearest neighbors. - Guoming Chen 001; Weiheng Zhu; Yiqun Chen; Jian Yin 001; Nian Zhang (FSKD, 2011)

Water quantity prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks. - Nian Zhang; Shuhua Lai (IJCNN, 2011)

Urban Stormwater Runoff Prediction Using Recurrent Neural Networks. - Nian Zhang (ISNN (1), 2011)

Prediction of Urban Stormwater Runoff in Chesapeake Bay Using Neural Networks. - Nian Zhang (ISNN (2), 2011)

Image hashing via hough transform. - Shuhua Lai; Nian Zhang (CISS, 2012)

Solar radiation prediction based on recurrent neural networks trained by Levenberg-Marquardt backpropagation learning algorithm. - Nian Zhang; Pradeep K. Behera (ISGT, 2012)

Landmark-based localization for Unmanned Aerial Vehicles. - Lalindra Jayatilleke; Nian Zhang (SysCon, 2013)

Solar radiation prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks. - Nian Zhang; Pradeep K. Behera; Charles Williams (SysCon, 2013)

A novel SIR method for multiple attributes group decision making problem under hesitant fuzzy environment. - Zu-Jun Ma; Nian Zhang; Ying Dai 002 (J. Intell. Fuzzy Syst., 2014)

A multiple criteria hesitant fuzzy decision making with Shapley value-based VIKOR method. - Guiwu Wei 001; Nian Zhang (J. Intell. Fuzzy Syst., 2014)

Independent component analysis based blind source separation algorithm and its application in the gravity and magnetic signal processing. - Nian Zhang; Jing Nie (FSKD, 2015)

Building a more diverse biomedical engineering workforce: Biomedical engineering at the university of the district of Columbia, a historically black college & university. - Lara A. Thompson; A. Segun Adebayo; Nian Zhang; Sasan Haghani; Kathleen Dowell; Devdas Shetty (EMBC, 2016)

Research on bus travel decision system based on generalized cost calculation. - Mao Qin; Nian Zhang; Zhipeng Wang (LISS, 2016)

An effective LS-SVM-based approach for surface roughness prediction in machined surfaces. - Nian Zhang; Devdas Shetty (Neurocomputing, 2016)

An Enhanced K-Nearest Neighbor Classification Method Based on Maximal Coherence and Validity Ratings. - Nian Zhang; Jiang Xiong; Jing Zhong; Lara A. Thompson; Hong Ying (ISNN (1), 2017)

A between-class overlapping coherence-based algorithm in KNN classification. - Nian Zhang; Welezane Karimoune; Lara A. Thompson; Hongmei Dang (SMC, 2017)

Multi-kernel learning for multivariate performance measures optimization. - Fan Lin; Jingbin Wang; Nian Zhang; Jianbing Xiahou; Nancy McDonald (Neural Comput. Appl., 2017)

Supervised Feature Selection Method for High-Dimensional Data Classification in Photo-Thermal Infrared Imaging with Limited Training Data. - Nian Zhang; Keenan Leatham (CoDIT, 2018)

Neurodynamics-Based Nonnegative Matrix Factorization for Classification. - Nian Zhang; Keenan Leatham (ICONIP (2), 2018)

MAGDM method based on interval grey linguistic correlated ordered geometric operators. - Ying Dai 002; Nian Zhang; Zu-Jun Ma (J. Intell. Fuzzy Syst., 2018)

Transmission Line Ice Coating Prediction Model Based on EEMD Feature Extraction. - Hongyan Li 003; Yunliang Chen 002; Guojun Zhang; Jianxin Li 001; Nian Zhang; Bo Du 006; Hao Liu 051; Naixue Xiong (IEEE Access, 2019)

Dual Hesitant Fuzzy Linguistic Power-Average Operators Based on Archimedean t-Conorms and t-Norms. - Nian Zhang; Jie Jian; Jiafu Su (IEEE Access, 2019)

A novel superiority and inferiority ranking method for engineering investment selection under interval-valued intuitionistic fuzzy environment. - Jie Jian; Nian Zhang; Jiafu Su (J. Intell. Fuzzy Syst., 2019)

Dual hesitant fuzzy linguistic power-geometric operators based on Archimedean t-conorms and t-norms and their application to group decision making. - Nian Zhang; Yin Yuan; Deqiang Fu; Guiwu Wei 001 (J. Intell. Fuzzy Syst., 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)

Young Women Exposed Actively to the Value of Biomedical Engineering. - Lara A. Thompson; Nian Zhang (EMBC, 2020)

Robust Graph Regularized Non-negative Matrix Factorization for Image Clustering. - Xiangguang Dai; Keke Zhang; Juntang Li; Jiang Xiong; Nian Zhang (ISNN, 2020)

Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM). - Nian Zhang; Xiangguang Dai; Md Amimul Ehsan; Tolessa Deksissa (ISNN, 2020)

An Efficient Method of Advertising on Online Social Networks. - Xitao Zou; Huan Liu; Xiangguang Dai; Jiang Xiong; Nian Zhang (ISNN, 2020)

Pricing and Coordination of Green Closed-Loop Supply Chain With Fairness Concerns. - Nian Zhang; Bin Li (IEEE Access, 2020)

Supply Chain Decision-Making and Coordination considering Anticipated Regret under Price Discount. - Jie Jian; Huipeng Li; Nian Zhang; Jiafu Su (Complex., 2020)

Game Models for Closed-Supply Chain with Different Competition-Cooperation Relationships under Fairness Preference. - Nian Zhang; Li Bin; Wei Kun; Mengxue Wang (Complex., 2020)

Study on Supply Chain considering Anticipated Regret under Price Discount. - Nian Zhang; Bin Li (Complex., 2020)

Wind Speed Prediction and Visualization Using Long Short-Term Memory Networks (LSTM). - Md Amimul Ehsan; Amir Shahirinia; Nian Zhang; Timothy Oladunni (CoRR, 2020)

Weighted Nonnegative Matrix Factorization for Image Inpainting and Clustering. - Xiangguang Dai; Nian Zhang; Keke Zhang; Jiang Xiong (Int. J. Comput. Intell. Syst., 2020)

A novel method for multi-attribute risk decision-making based on regret theory and hybird information. - Nian Zhang; Yunpeng Han; Quanshen Si; Guiwu Wei 001 (J. Intell. Fuzzy Syst., 2020)

Non-negative Matrix Factorization for Binary Space Learning. - Meng Zhang 030; Xiangguang Dai; Xiangqin Dai; Nian Zhang (ICACI, 2021)

A 5.72-μW, 1.02-MHz, -40 125°C, 1μs-Startup Time Relaxation Oscillation with Fully-on-Chip Voltage Reference and LDO Regulator. - Chuqi Chen; Chenchang Zhan; Zhaobo Zhang; Nian Zhang; Lidan Wang 001 (ICTA, 2021)

A 0.9-V 22.7-ppm/°C Sub-Bandgap Voltage Reference with Single BJT and Two Resistors. - Lidan Wang 001; Chenchang Zhan; Jie Lin; Shuangxing Zhao; Nian Zhang (ISCAS, 2021)

Analysis of Multi-Phase Trans-Inductor Voltage Regulator with Fast Transient Response for Large Load Current Applications. - Nian Zhang; Chenchang Zhan; Guanghua Ye; Chuqi Chen; Xuening Li; Jun Yi (ISCAS, 2021)

Investigation of Data Size Variability in Wind Speed Prediction Using AI Algorithms. - Md Amimul Ehsan; Amir Shahirinia; Nian Zhang; Timothy Oladunni (Cybern. Syst., 2021)

Recent Developments in Dynamic Modeling, Control and Applications of Neural Networks. - Sitian Qin; Shenshen Gu; Nian Zhang (Cybern. Syst., 2021)

Quadruplet-Based Deep Cross-Modal Hashing. - Huan Liu; Jiang Xiong; Nian Zhang; Fuming Liu; Xitao Zou (Comput. Intell. Neurosci., 2021)

A Robust Context-Based Deep Learning Approach for Highly Imbalanced Hyperspectral Classification. - Juan F. Ramirez Rochac; Nian Zhang; Lara A. Thompson; Tolessa Deksissa (Comput. Intell. Neurosci., 2021)

LPR-MLP: A Novel Health Prediction Model for Transmission Lines in Grid Sensor Networks. - Yunliang Chen 002; Shaoqian Chen; Nian Zhang; Hao Liu 051; Honglei Jing; Geyong Min (Complex., 2021)

Classification Method for Network Security Data Based on Multi-featured Extraction. - Yunchuan Kang; Jing Zhong; Ruofeng Li; Yuqiao Liang; Nian Zhang (Int. J. Artif. Intell. Tools, 2021)

Application of catastrophe progression method on hybrid multiple attribute decision-making problems based on regret theory. - Nian Zhang; Qian Pan; Guiwu Wei 001 (J. Intell. Fuzzy Syst., 2021)

College Physical Education Course Management System Based on Internet of Things. - Yu Ding; Nian Zhang; Yupeng Li (Mob. Inf. Syst., 2021)

Detecting slender objects with uncertainty based on keypoint-displacement representation. - Zelong Kong; Nian Zhang; Xinping Guan; Xinyi Le (Neural Networks, 2021)

Streamflow Prediction Using a Hybrid Methodology Based on Convolutional Neural Network and Long Short-Term Memory. - Juan F. Ramirez Rochac; Nian Zhang; Tolessa Deksissa; Wagdy H. Mahmoud (BigDataService, 2022)

Flexsim-based Simulation and Optimization of Green Logistics Distribution Center. - Shuai Wang; Shumeng Wang; Nian Zhang (ICCMS, 2022)

A Hybrid ConvLSTM Deep Neural Network for Noise Reduction and Data Augmentation for Prediction of Non-linear Dynamics of Streamflow. - Juan F. Ramirez Rochac; Nian Zhang; Tolessa Deksissa; Jiajun Xu; Lara A. Thompson (ICDM (Workshops), 2022)

A COVID-19 CXR image recognition method based on MSA-DDCovidNet. - Wei Wang 229; Wendi Huang; Xin Wang 078; Peng Zhang 079; Nian Zhang (IET Image Process., 2022)

Editorial: Special Issue on Reliable Machine Learning and Optimization. - Nian Zhang; Jian Wang 010; Leszek Rutkowski (Int. J. Artif. Intell. Tools, 2022)

Research on Green Supplier Selection Based on Hesitant Fuzzy Set and Extended LINMAP Method. - Nian Zhang; Qin Zhou; Guiwu Wei 001 (Int. J. Fuzzy Syst., 2022)

Robust supervised discrete hashing. - Yao Xiao; Wei Zhang 158; Xiangguang Dai; Xiangqin Dai; Nian Zhang (Neurocomputing, 2022)

Research on Green Closed-Loop Supply Chain Considering Manufacturer's Fairness Concerns and Sales Effort. - Nian Zhang; Jinyu Wu; Bin Li; Deqiang Fu (J. Theor. Appl. Electron. Commer. Res., 2022)

Channel exchange and adversarial learning guided cross-modal person re-identification. - Xiaohui Xu; Shan Liu; Nian Zhang; Guoqiang Xiao 001; Song Wu 003 (Knowl. Based Syst., 2022)

Multi-label modality enhanced attention based self-supervised deep cross-modal hashing. - Xitao Zou; Song Wu 003; Nian Zhang; Erwin M. Bakker (Knowl. Based Syst., 2022)

UTRAD: Anomaly detection and localization with U-Transformer. - Liyang Chen; Zhiyuan You; Nian Zhang; Juntong Xi; Xinyi Le (Neural Networks, 2022)

Manhattan Nonnegative matrix factorization using the alternating direction method of multipliers. - Chan Cao; Shuyu Tang; Nian Zhang; Xiangguang Dai; Wei Zhang 158; Yuming Feng; Jiang Xiong; Jinkui Liu; Lara A. Thompson (ICACI, 2023)

An approach of selecting cold chain logistics service provider based on SNAand FCE method. - Nian Zhang; Yifan Zhou; Qin Zhou; Guiwu Wei 001 (J. Intell. Fuzzy Syst., 2023)

Optimization of maintenance personnel dispatching strategy in smart grid. - Yunliang Chen 002; Nian Zhang; Jining Yan; Guishui Zhu; Geyong Min (World Wide Web (WWW), 2023)

Guest editorial: Robust, explainable, and privacy-preserving deep learning. - Nian Zhang; Zhigang Zeng; Yaochu Jin (Knowl. Based Syst., 2023)

Special issue on deep interpretation of deep learning: prediction, representation, modeling and utilization. - Nian Zhang; Jian Wang 010; Leszek Rutkowski (Neural Comput. Appl., 2023)

Traceability of abnormal energy consumption modes in grinding systems based on evolution analysis of causal network structure. - Mingrui Zhu; Yangjian Ji; Nian Zhang (Adv. Eng. Informatics, 2023)

Stable Matching for Crowdsourcing Last-Mile Delivery. - Nian Zhang; Zhixue Liu; Feng Li 024; Zhou Xu 001; Zhihao Chen (IEEE Trans. Intell. Transp. Syst., 2023)

Fast Attack Detection Method for Imbalanced Data in Industrial Cyber-Physical Systems. - Meng Huang; Tao Li 016; Beibei Li 002; Nian Zhang; Hanyuan Huang (J. Artif. Intell. Soft Comput. Res., 2023)

VIKOR method for Pythagorean hesitant fuzzy multi-attribute decision-making based on regret theory. - Nian Zhang; Yifan Zhou; Jin Liu; Guiwu Wei 001 (Eng. Appl. Artif. Intell., 2023)

A neurodynamics-based nonnegative matrix factorization approach based on discrete-time projection neural network. - Nian Zhang; Keenan Leatham (J. Ambient Intell. Humaniz. Comput., 2023)

An extended hybrid decision-making method under Fermatean hesitant fuzzy set based on regret theory. - Nian Zhang; Yifan Zhou; Jin Liu; Guiwu Wei 001 (J. Ambient Intell. Humaniz. Comput., 2023)

A Rotary Kiln Temperature Detection System Based on a One-Dimensional Heat Transfer Model. - Cong Wang; Qian Zhang; Yuanyuan Qi; Miaoqing Zhu; Ruiheng Zhang; Nian Zhang (CIPAE, 2024)

Bayesian Optimized CNN-RNN Hybrid Model for Predicting Streamflow in Potomac River Basin. - Nian Zhang; Stephanie Rouamba; Gavin Robinson; Tolessa Deksissa (ICACI, 2024)

A COVID-19 CXR Image Recognition Method Based on Deep Transfer Learning. - Justin An; Nian Zhang; Wagdy H. Mahmoud; Max Denis (IJCNN, 2024)

LMGAN: A Progressive End-to-End Chinese Landscape Painting Generation Model. - Yingqian Zhang 002; Shaomin Xie; Xiangrong Liu; Nian Zhang (IJCNN, 2024)

Transfer Learning-Based Deep Learning Model for Corn Leaf Disease Classification. - Justin An; Nian Zhang; Wagdy H. Mahmoud (ISNN, 2024)

Chronicle knowledge-based multi-level response prediction for predictive control by forest models in process industry. - Linjin Sun; Yangjian Ji; Zheren Zhu; Xiaoyu Jiang; Xiaoyang Zhu; Nian Zhang (Eng. Appl. Artif. Intell., 2024)

Study the supplier evaluation and selection in supply chain disruption risk based on regret theory and VIKOR method. - Nian Zhang; Shuo Zheng; Lingyuan Tian; Guiwu Wei 001 (Kybernetes, 2024)

Binary matrix factorization via collaborative neurodynamic optimization. - Hongzong Li; Jun Wang 002; Nian Zhang; Wei Zhang (Neural Networks, 2024)

IDG-SemiAD: An Immune Detector Generation-Based Collaborative Learning Scheme for Semi-supervised Anomaly Detection in Industrial Cyber-physical Systems. - Meng Huang; Wenshan Li 001; Junjiang He; Xiaolong Lan; Tao Li 016; Nian Zhang (Int. J. Comput. Intell. Syst., 2024)

Hyperspectral Endmember Material Identification Using Spectral Library Matching. - Nian Zhang; Fred Rischmiller; Wagdy H. Mahmoud (ISNN, 2025)

Research on fresh supply chain risk evaluation of community group purchase based on hybrid multi-attribute decision-making method. - Nian Zhang; Anling Wang; Yifan Zhou; Shuo Zheng (Eng. Appl. Artif. Intell., 2025)

Manufacturer vs. KOL: a comparative study of decision-making in live streaming e-commerce with consumers' anticipated regret. - Nian Zhang; Zheyu He; Jinyu Wu (Expert Syst. Appl., 2026)