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2020 – today
- 2024
[j49]Linjin Sun, Yangjian Ji, Zheren Zhu, Xiaoyu Jiang, Xiaoyang Zhu, Nian Zhang:
Chronicle knowledge-based multi-level response prediction for predictive control by forest models in process industry. Eng. Appl. Artif. Intell. 129: 107632 (2024)- [j48]Meng Huang, Wenshan Li, Junjiang He, Xiaolong Lan, Tao Li, Nian Zhang:
IDG-SemiAD: An Immune Detector Generation-Based Collaborative Learning Scheme for Semi-supervised Anomaly Detection in Industrial Cyber-physical Systems. Int. J. Comput. Intell. Syst. 17(1): 108 (2024) - [j47]Nian Zhang
, Shuo Zheng, Lingyuan Tian, Guiwu Wei:
Study the supplier evaluation and selection in supply chain disruption risk based on regret theory and VIKOR method. Kybernetes 53(10): 3848-3874 (2024) - [j46]Hongzong Li, Jun Wang, Nian Zhang, Wei Zhang:
Binary matrix factorization via collaborative neurodynamic optimization. Neural Networks 176: 106348 (2024) - [c40]Nian Zhang, Stephanie Rouamba, Gavin Robinson, Tolessa Deksissa:
Bayesian Optimized CNN-RNN Hybrid Model for Predicting Streamflow in Potomac River Basin. ICACI 2024: 121-126 - [c39]Justin An, Nian Zhang, Wagdy H. Mahmoud, Max Denis:
A COVID-19 CXR Image Recognition Method Based on Deep Transfer Learning. IJCNN 2024: 1-6 - [c38]Yingqian Zhang, Shaomin Xie, Xiangrong Liu, Nian Zhang:
LMGAN: A Progressive End-to-End Chinese Landscape Painting Generation Model. IJCNN 2024: 1-7 - [c37]Justin An, Nian Zhang, Wagdy H. Mahmoud:
Transfer Learning-Based Deep Learning Model for Corn Leaf Disease Classification. ISNN 2024: 163-173 - 2023
- [j45]Mingrui Zhu, Yangjian Ji, Nian Zhang:
Traceability of abnormal energy consumption modes in grinding systems based on evolution analysis of causal network structure. Adv. Eng. Informatics 57: 102119 (2023) - [j44]Nian Zhang, Yifan Zhou, Jin Liu, Guiwu Wei:
VIKOR method for Pythagorean hesitant fuzzy multi-attribute decision-making based on regret theory. Eng. Appl. Artif. Intell. 126: 106857 (2023) - [j43]Nian Zhang, Keenan Leatham:
A neurodynamics-based nonnegative matrix factorization approach based on discrete-time projection neural network. J. Ambient Intell. Humaniz. Comput. 14(12): 1-9 (2023) - [j42]Nian Zhang, Yifan Zhou, Jin Liu, Guiwu Wei:
An extended hybrid decision-making method under Fermatean hesitant fuzzy set based on regret theory. J. Ambient Intell. Humaniz. Comput. 14(12): 16961-16971 (2023) - [j41]Meng Huang, Tao Li, Beibei Li, Nian Zhang, Hanyuan Huang:
Fast Attack Detection Method for Imbalanced Data in Industrial Cyber-Physical Systems. J. Artif. Intell. Soft Comput. Res. 13(4): 229-245 (2023) - [j40]Nian Zhang, Yifan Zhou, Qin Zhou, Guiwu Wei:
An approach of selecting cold chain logistics service provider based on SNAand FCE method. J. Intell. Fuzzy Syst. 44(2): 1893-1905 (2023) - [j39]Nian Zhang, Zhigang Zeng, Yaochu Jin:
Guest editorial: Robust, explainable, and privacy-preserving deep learning. Knowl. Based Syst. 263: 110287 (2023) - [j38]Nian Zhang, Jian Wang, Leszek Rutkowski:
Special issue on deep interpretation of deep learning: prediction, representation, modeling and utilization. Neural Comput. Appl. 35(14): 9947-9949 (2023) - [j37]Nian Zhang, Zhixue Liu, Feng Li, Zhou Xu, Zhihao Chen:
Stable Matching for Crowdsourcing Last-Mile Delivery. IEEE Trans. Intell. Transp. Syst. 24(8): 8174-8187 (2023) - [j36]Yunliang Chen, Nian Zhang, Jining Yan, Guishui Zhu, Geyong Min:
Optimization of maintenance personnel dispatching strategy in smart grid. World Wide Web (WWW) 26(1): 139-162 (2023) - [c36]Chan Cao, Shuyu Tang, Nian Zhang, Xiangguang Dai, Wei Zhang, Yuming Feng, Jiang Xiong, Jinkui Liu, Lara A. Thompson:
Manhattan Nonnegative matrix factorization using the alternating direction method of multipliers. ICACI 2023: 1-5 - 2022
- [j35]Wei Wang, Wendi Huang, Xin Wang, Peng Zhang, Nian Zhang:
A COVID-19 CXR image recognition method based on MSA-DDCovidNet. IET Image Process. 16(8): 2101-2113 (2022) - [j34]Nian Zhang, Jian Wang, Leszek Rutkowski:
Editorial: Special Issue on Reliable Machine Learning and Optimization. Int. J. Artif. Intell. Tools 31(6): 2202006:1-2202006:3 (2022) - [j33]Nian Zhang, Qin Zhou, Guiwu Wei:
Research on Green Supplier Selection Based on Hesitant Fuzzy Set and Extended LINMAP Method. Int. J. Fuzzy Syst. 24(7): 3057-3066 (2022) - [j32]Yao Xiao, Wei Zhang, Xiangguang Dai, Xiangqin Dai, Nian Zhang:
Robust supervised discrete hashing. Neurocomputing 483: 398-410 (2022) - [j31]Nian Zhang, Jinyu Wu, Bin Li, Deqiang Fu:
Research on Green Closed-Loop Supply Chain Considering Manufacturer's Fairness Concerns and Sales Effort. J. Theor. Appl. Electron. Commer. Res. 18(1): 333-351 (2022) - [j30]Xitao Zou, Song Wu, Nian Zhang, Erwin M. Bakker:
Multi-label modality enhanced attention based self-supervised deep cross-modal hashing. Knowl. Based Syst. 239: 107927 (2022) - [j29]Xiaohui Xu, Shan Liu, Nian Zhang, Guoqiang Xiao, Song Wu:
Channel exchange and adversarial learning guided cross-modal person re-identification. Knowl. Based Syst. 257: 109883 (2022) - [j28]Liyang Chen, Zhiyuan You, Nian Zhang, Juntong Xi, Xinyi Le:
UTRAD: Anomaly detection and localization with U-Transformer. Neural Networks 147: 53-62 (2022) - [c35]Juan F. Ramirez Rochac, Nian Zhang, Tolessa Deksissa, Wagdy H. Mahmoud:
Streamflow Prediction Using a Hybrid Methodology Based on Convolutional Neural Network and Long Short-Term Memory. BigDataService 2022: 173-174 - [c34]Shuai Wang, Shumeng Wang, Nian Zhang:
Flexsim-based Simulation and Optimization of Green Logistics Distribution Center. ICCMS 2022: 76-82 - [c33]Juan F. Ramirez Rochac, Nian Zhang, Tolessa Deksissa, Jiajun Xu, Lara A. Thompson:
A Hybrid ConvLSTM Deep Neural Network for Noise Reduction and Data Augmentation for Prediction of Non-linear Dynamics of Streamflow. ICDM (Workshops) 2022: 1120-1127 - 2021
- [j27]Sitian Qin, Shenshen Gu, Nian Zhang:
Recent Developments in Dynamic Modeling, Control and Applications of Neural Networks. Cybern. Syst. 52(1): 1-2 (2021) - [j26]Md Amimul Ehsan, Amir Shahirinia, Nian Zhang, Timothy Oladunni:
Investigation of Data Size Variability in Wind Speed Prediction Using AI Algorithms. Cybern. Syst. 52(1): 105-126 (2021) - [j25]Juan F. Ramirez Rochac, Nian Zhang, Lara A. Thompson, Tolessa Deksissa:
A Robust Context-Based Deep Learning Approach for Highly Imbalanced Hyperspectral Classification. Comput. Intell. Neurosci. 2021: 9923491:1-9923491:17 (2021) - [j24]Huan Liu, Jiang Xiong, Nian Zhang, Fuming Liu, Xitao Zou:
Quadruplet-Based Deep Cross-Modal Hashing. Comput. Intell. Neurosci. 2021: 9968716:1-9968716:10 (2021) - [j23]Yunliang Chen, Shaoqian Chen, Nian Zhang, Hao Liu, Honglei Jing, Geyong Min:
LPR-MLP: A Novel Health Prediction Model for Transmission Lines in Grid Sensor Networks. Complex. 2021: 8867190:1-8867190:10 (2021) - [j22]Yunchuan Kang, Jing Zhong, Ruofeng Li, Yuqiao Liang, Nian Zhang:
Classification Method for Network Security Data Based on Multi-featured Extraction. Int. J. Artif. Intell. Tools 30(1): 2140006:1-2140006:11 (2021) - [j21]Nian Zhang, Qian Pan, Guiwu Wei:
Application of catastrophe progression method on hybrid multiple attribute decision-making problems based on regret theory. J. Intell. Fuzzy Syst. 41(6): 6641-6654 (2021) - [j20]Yu Ding, Nian Zhang, Yupeng Li:
College Physical Education Course Management System Based on Internet of Things. Mob. Inf. Syst. 2021: 5874390:1-5874390:10 (2021) - [j19]Zelong Kong, Nian Zhang, Xinping Guan, Xinyi Le:
Detecting slender objects with uncertainty based on keypoint-displacement representation. Neural Networks 139: 246-254 (2021) - [c32]Meng Zhang, Xiangguang Dai, Xiangqin Dai, Nian Zhang:
Non-negative Matrix Factorization for Binary Space Learning. ICACI 2021: 215-219 - [c31]Chuqi Chen, Chenchang Zhan, Zhaobo Zhang, Nian Zhang, Lidan Wang:
A 5.72-μW, 1.02-MHz, -40~125°C, 1μs-Startup Time Relaxation Oscillation with Fully-on-Chip Voltage Reference and LDO Regulator. ICTA 2021: 237-238 - [c30]Lidan Wang, Chenchang Zhan, Jie Lin, Shuangxing Zhao, Nian Zhang:
A 0.9-V 22.7-ppm/°C Sub-Bandgap Voltage Reference with Single BJT and Two Resistors. ISCAS 2021: 1-4 - [c29]Nian Zhang, Chenchang Zhan, Guanghua Ye, Chuqi Chen, Xuening Li, Jun Yi:
Analysis of Multi-Phase Trans-Inductor Voltage Regulator with Fast Transient Response for Large Load Current Applications. ISCAS 2021: 1-5 - 2020
- [j18]Nian Zhang, Bin Li:
Pricing and Coordination of Green Closed-Loop Supply Chain With Fairness Concerns. IEEE Access 8: 224178-224189 (2020) - [j17]Nian Zhang, Bin Li:
Study on Supply Chain considering Anticipated Regret under Price Discount. Complex. 2020: 1574716:1-1574716:12 (2020) - [j16]Jie Jian, Huipeng Li, Nian Zhang, Jiafu Su:
Supply Chain Decision-Making and Coordination considering Anticipated Regret under Price Discount. Complex. 2020: 6091702:1-6091702:14 (2020) - [j15]Nian Zhang, Li Bin, Wei Kun, Mengxue Wang:
Game Models for Closed-Supply Chain with Different Competition-Cooperation Relationships under Fairness Preference. Complex. 2020: 6793216:1-6793216:11 (2020) - [j14]Xiangguang Dai, Nian Zhang, Keke Zhang, Jiang Xiong:
Weighted Nonnegative Matrix Factorization for Image Inpainting and Clustering. Int. J. Comput. Intell. Syst. 13(1): 734-743 (2020) - [j13]Nian Zhang, Yunpeng Han, Quanshen Si, Guiwu Wei:
A novel method for multi-attribute risk decision-making based on regret theory and hybird information. J. Intell. Fuzzy Syst. 39(5): 6955-6964 (2020) - [c28]Lara A. Thompson, Nian Zhang:
Young Women Exposed Actively to the Value of Biomedical Engineering. EMBC 2020: 6013-6017 - [c27]Xitao Zou, Huan Liu, Xiangguang Dai, Jiang Xiong, Nian Zhang:
An Efficient Method of Advertising on Online Social Networks. ISNN 2020: 106-116 - [c26]Nian Zhang, Xiangguang Dai, Md Amimul Ehsan, Tolessa Deksissa:
Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM). ISNN 2020: 142-153 - [c25]Xiangguang Dai, Keke Zhang, Juntang Li, Jiang Xiong, Nian Zhang:
Robust Graph Regularized Non-negative Matrix Factorization for Image Clustering. ISNN 2020: 244-250 - [e4]Min Han, Sitian Qin, Nian Zhang:
Advances in Neural Networks - ISNN 2020 - 17th International Symposium on Neural Networks, ISNN 2020, Cairo, Egypt, December 4-6, 2020, Proceedings. Lecture Notes in Computer Science 12557, Springer 2020, ISBN 978-3-030-64220-4 [contents] - [i1]Md Amimul Ehsan, Amir Shahirinia, Nian Zhang, Timothy Oladunni:
Wind Speed Prediction and Visualization Using Long Short-Term Memory Networks (LSTM). CoRR abs/2005.12401 (2020)
2010 – 2019
- 2019
- [j12]Nian Zhang, Jie Jian, Jiafu Su:
Dual Hesitant Fuzzy Linguistic Power-Average Operators Based on Archimedean t-Conorms and t-Norms. IEEE Access 7: 40602-40624 (2019) - [j11]Hongyan Li, Yunliang Chen, Guojun Zhang, Jianxin Li, Nian Zhang, Bo Du, Hao Liu, Naixue Xiong:
Transmission Line Ice Coating Prediction Model Based on EEMD Feature Extraction. IEEE Access 7: 40695-40706 (2019) - [j10]Nian Zhang, Yin Yuan, Deqiang Fu, Guiwu Wei:
Dual hesitant fuzzy linguistic power-geometric operators based on Archimedean t-conorms and t-norms and their application to group decision making. J. Intell. Fuzzy Syst. 37(3): 3829-3847 (2019) - [j9]Jie Jian, Nian Zhang, Jiafu Su:
A novel superiority and inferiority ranking method for engineering investment selection under interval-valued intuitionistic fuzzy environment. J. Intell. Fuzzy Syst. 37(5): 6645-6653 (2019) - [j8]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): 2-10 (2019) - 2018
- [j7]Ying Dai, Nian Zhang, Zu-Jun Ma:
MAGDM method based on interval grey linguistic correlated ordered geometric operators. J. Intell. Fuzzy Syst. 35(3): 3115-3123 (2018) - [c24]Nian Zhang, Keenan Leatham:
Supervised Feature Selection Method for High-Dimensional Data Classification in Photo-Thermal Infrared Imaging with Limited Training Data. CoDIT 2018: 593-598 - [c23]Nian Zhang, Keenan Leatham:
Neurodynamics-Based Nonnegative Matrix Factorization for Classification. ICONIP (2) 2018: 519-529 - 2017
- [j6]Fan Lin, Jingbin Wang, Nian Zhang, Jianbing Xiahou, Nancy McDonald:
Multi-kernel learning for multivariate performance measures optimization. Neural Comput. Appl. 28(8): 2075-2087 (2017) - [c22]Nian Zhang, Jiang Xiong, Jing Zhong, Lara A. Thompson, Hong Ying:
An Enhanced K-Nearest Neighbor Classification Method Based on Maximal Coherence and Validity Ratings. ISNN (1) 2017: 206-214 - [c21]Nian Zhang, Welezane Karimoune, Lara A. Thompson, Hongmei Dang:
A between-class overlapping coherence-based algorithm in KNN classification. SMC 2017: 572-577 - 2016
- [j5]Nian Zhang, Devdas Shetty:
An effective LS-SVM-based approach for surface roughness prediction in machined surfaces. Neurocomputing 198: 35-39 (2016) - [c20]Lara A. Thompson, A. Segun Adebayo, Nian Zhang, Sasan Haghani, Kathleen Dowell, Devdas Shetty:
Building a more diverse biomedical engineering workforce: Biomedical engineering at the university of the district of Columbia, a historically black college & university. EMBC 2016: 4325-4328 - [c19]Mao Qin, Nian Zhang, Zhipeng Wang:
Research on bus travel decision system based on generalized cost calculation. LISS 2016: 1-4 - 2015
- [c18]Nian Zhang, Jing Nie:
Independent component analysis based blind source separation algorithm and its application in the gravity and magnetic signal processing. FSKD 2015: 269-273 - 2014
- [j4]Guiwu Wei, Nian Zhang:
A multiple criteria hesitant fuzzy decision making with Shapley value-based VIKOR method. J. Intell. Fuzzy Syst. 26(2): 1065-1075 (2014) - [j3]Zu-Jun Ma, Nian Zhang, Ying Dai:
A novel SIR method for multiple attributes group decision making problem under hesitant fuzzy environment. J. Intell. Fuzzy Syst. 26(5): 2119-2130 (2014) - 2013
- [c17]Nian Zhang, Pradeep K. Behera, Charles Williams:
Solar radiation prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks. SysCon 2013: 280-286 - [c16]Lalindra Jayatilleke, Nian Zhang:
Landmark-based localization for Unmanned Aerial Vehicles. SysCon 2013: 448-451 - 2012
- [c15]Shuhua Lai, Nian Zhang:
Image hashing via hough transform. CISS 2012: 1-4 - [c14]Nian Zhang, Pradeep K. Behera:
Solar radiation prediction based on recurrent neural networks trained by Levenberg-Marquardt backpropagation learning algorithm. ISGT 2012: 1-7 - 2011
- [c13]Guoming Chen, Weiheng Zhu, Yiqun Chen, Jian Yin, Nian Zhang:
Intrinsic dimension estimation based on maximum likelihood estimator and reverse k nearest neighbors. FSKD 2011: 1289-1293 - [c12]Nian Zhang, Shuhua Lai:
Water quantity prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks. IJCNN 2011: 2172-2176 - [c11]Nian Zhang:
Prediction of Urban Stormwater Runoff in Chesapeake Bay Using Neural Networks. ISNN (2) 2011: 27-36 - [c10]Nian Zhang:
Urban Stormwater Runoff Prediction Using Recurrent Neural Networks. ISNN (1) 2011: 610-619 - 2010
- [c9]Nian Zhang, Kiwon Park:
A hybrid fuzzy logic controllers for complex environment. ICNSC 2010: 228-231
2000 – 2009
- 2009
- [e3]Wen Yu, Haibo He, Nian Zhang:
Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part I. Lecture Notes in Computer Science 5551, Springer 2009, ISBN 978-3-642-01506-9 [contents] - [e2]Wen Yu, Haibo He, Nian Zhang:
Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part II. Lecture Notes in Computer Science 5552, Springer 2009, ISBN 978-3-642-01509-0 [contents] - [e1]Wen Yu, Haibo He, Nian Zhang:
Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part III. Lecture Notes in Computer Science 5553, Springer 2009, ISBN 978-3-642-01512-0 [contents] - 2008
- [c8]Li Liu, Wenxin Liu, David A. Cartes, Nian Zhang:
Real time implementation of Particle Swarm Optimiation based model parameter identification and an application example. IEEE Congress on Evolutionary Computation 2008: 3480-3485 - 2007
- [j2]Xindi Cai, Nian Zhang, Ganesh K. Venayagamoorthy, Donald C. Wunsch II:
Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm. Neurocomputing 70(13-15): 2342-2353 (2007) - [c7]Kiwon Park, Nian Zhang:
Behavior-Based Autonomous Robot Navigation on Challenging Terrain: A Dual Fuzzy Logic Approach. FOCI 2007: 239-244 - 2006
- [j1]Nian Zhang, Donald C. Wunsch II:
Speeding up VLSI Layout Verification Using Fuzzy Attributed Graphs Approach. IEEE Trans. Fuzzy Syst. 14(6): 728-737 (2006) - [c6]Nian Zhang, Donald C. Wunsch II:
Application of Collective Robotic Search Using Neural Network Based Dual Heuristic Programming (DHP). ISNN (2) 2006: 1140-1145 - 2005
- [c5]Nian Zhang, Daryl G. Beetner, Donald C. Wunsch II, Brian Hemmelman, Abul Hasan:
An Embedded Real-Time Neuro-Fuzzy Controller for Mobile Robot Navigation. FUZZ-IEEE 2005: 319-324 - [c4]Nian Zhang, Donald C. Wunsch II:
A Switched-Resistor Approach to Hardware Implementation of Neural Networks. FUZZ-IEEE 2005: 336-340 - 2003
- [c3]Nian Zhang, Donald C. Wunsch II:
A fuzzy attributed graph approach to subcircuit extraction problem. FUZZ-IEEE 2003: 1063-1067 - [c2]Nian Zhang, Donald C. Wunsch II:
An extended Kalman filter (EKF) approach on fuzzy system optimization problem. FUZZ-IEEE 2003: 1465-1470 - [c1]Nian Zhang, Donald C. Wunsch II:
Fuzzy logic in collective robotic search. FUZZ-IEEE 2003: 1471-1475
Coauthor Index
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