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- NengSheng Zhang
aka: Nengsheng Allan Zhang, Allan N. Zhang, Allan NengSheng Zhang - Allan Zhang NengSheng
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Publication search results
found 55 matches
- 2024
- Pi-Yun Chen, Yu-Cheng Cheng, Zi-Heng Zhong, Feng-Zhou Zhang, Neng-Sheng Pai, Chien-Ming Li, Chia-Hung Lin:
Information Security and Artificial Intelligence-Assisted Diagnosis in an Internet of Medical Thing System (IoMTS). IEEE Access 12: 9757-9775 (2024) - Chia-Hung Lin, Hsiang-Yueh Lai, Ping-Tzan Huang, Pi-Yun Chen, Neng-Sheng Pai, Feng-Zhou Zhang:
Combining Riemann-Lebesgue-Based Key Generator and Machine-Learning-Based Intelligent Encryption Scheme for IoMT Images Infosecurity. IEEE Internet Things J. 11(1): 1344-1360 (2024) - Kentaroh Toyoda, Rachel Gan Kai Ying, Allan NengSheng Zhang, Puay Siew Tan:
Identifying the Key Attributes in an Unlabeled Event Log for Automated Process Discovery. IEEE Trans. Serv. Comput. 17(1): 74-81 (2024) - Nigel W. Z. Soh, Allan N. Zhang, Fangyuan Wan, Chi Xu:
Urban Last Mile Delivery Data Mining for Performance Improvement. ICCMB 2024: 86-93 - 2023
- Bo Zhang, Wen Jun Tan, Wentong Cai, Allan N. Zhang:
Multi-agent Reinforcement Learning for Improving Supply Chain Visibility in Inventory Management. DS-RT 2023: 117-118 - Kentaroh Toyoda, Rachel Gan Kai Ying, Allan NengSheng Zhang, Puay Siew Tan:
Identifying the Key Attributes in an Unlabeled Event Log for Automated Process Discovery. CoRR abs/2301.12829 (2023) - 2022
- Jakub Cerný, Bo An, Allan N. Zhang:
Quantal Correlated Equilibrium in Normal Form Games. EC 2022: 210-239 - Bo Zhang, Wen Jun Tan, Wentong Cai, Allan N. Zhang:
Forecasting with Visibility Using Privacy Preserving Federated Learning. WSC 2022: 2687-2698 - 2021
- Ray Lim, Lei Zhou, Abhishek Gupta, Yew-Soon Ong, Allan N. Zhang:
Solution Representation Learning in Multi-Objective Transfer Evolutionary Optimization. IEEE Access 9: 41844-41860 (2021) - Ray Lim, Abhishek Gupta, Yew-Soon Ong, Liang Feng, Allan N. Zhang:
Non-linear Domain Adaptation in Transfer Evolutionary Optimization. Cogn. Comput. 13(2): 290-307 (2021) - 2020
- Kentaroh Toyoda, Koji Machi, Yutaka Ohtake, Allan N. Zhang:
Function-Level Bottleneck Analysis of Private Proof-of-Authority Ethereum Blockchain. IEEE Access 8: 141611-141621 (2020) - Kentaroh Toyoda, Jun Zhao, Allan NengSheng Zhang, P. Takis Mathiopoulos:
Blockchain-Enabled Federated Learning With Mechanism Design. IEEE Access 8: 219744-219756 (2020) - Wen Jun Tan, Wentong Cai, Allan N. Zhang:
Structural-aware simulation analysis of supply chain resilience. Int. J. Prod. Res. 58(17): 5175-5195 (2020) - Raziyeh Reza-Gharehbagh, Ashkan Hafezalkotob, Sobhan Asian, Ahmad Makui, Allan N. Zhang:
Peer-to-peer financing choice of SME entrepreneurs in the re-emergence of supply chain localization. Int. Trans. Oper. Res. 27(5): 2534-2558 (2020) - 2019
- Wen Jun Tan, Allan N. Zhang, Wentong Cai:
A graph-based model to measure structural redundancy for supply chain resilience. Int. J. Prod. Res. 57(20): 6385-6404 (2019) - Dazhi Yang, Allan N. Zhang:
Impact of Information Sharing and Forecast Combination on Fast-Moving-Consumer-Goods Demand Forecast Accuracy. Inf. 10(8): 260 (2019) - Abhishek Gupta, Yew-Soon Ong, Mojtaba Shakeri, Xu Chi, Allan NengSheng Zhang:
The Blessing of Dimensionality in Many-Objective Search: An Inverse Machine Learning Insight. IEEE BigData 2019: 3896-3902 - Mojtaba Shakeri, Abhishek Gupta, Yew-Soon Ong, Xu Chi, Allan Zhang NengSheng:
Coping with Big Data in Transfer Optimization. IEEE BigData 2019: 3925-3932 - Kentaroh Toyoda, Mojtaba Shakeri, Xu Chi, Allan N. Zhang:
Performance Evaluation of Ethereum-based On-chain Sensor Data Management Platform for Industrial IoT. IEEE BigData 2019: 3939-3946 - Kentaroh Toyoda, Allan N. Zhang:
Mechanism Design for An Incentive-aware Blockchain-enabled Federated Learning Platform. IEEE BigData 2019: 395-403 - Ray Lim, Yew-Soon Ong, Phan Thi Hong Hanh, Abhishek Gupta, Nengsheng Allan Zhang:
Can route planning be smarter with transfer optimization? GECCO (Companion) 2019: 318-319 - 2018
- Dazhi Yang, Allan N. Zhang:
Forecast UPC-Level FMCG Demand, Part IV: Statistical Ensemble. IEEE BigData 2018: 3180-3185 - Dazhi Yang, Allan N. Zhang:
Performing literature review using text mining, Part III: Summarizing articles using TextRank. IEEE BigData 2018: 3186-3190 - Ikhlas Alhussien, Erik Cambria, Zhang NengSheng:
Semantically Enhanced Models for Commonsense Knowledge Acquisition. ICDM Workshops 2018: 1014-1021 - Debdeep Paul, Allan N. Zhang, Sobhan Asian:
On the Value of Demand Management for Mitigating Risk: Peak-Order Reduction Through Trend Filtering. SMC 2018: 2260-2265 - Ikhlas Alhussien, Erik Cambria, Zhang NengSheng:
Semantically Enhanced Models for Commonsense Knowledge Acquisition. CoRR abs/1809.04708 (2018) - 2017
- Abhishek Gupta, Chen Kim Heng, Yew-Soon Ong, Puay Siew Tan, Allan N. Zhang:
A generic framework for multi-criteria decision support in eco-friendly urban logistics systems. Expert Syst. Appl. 71: 288-300 (2017) - Gürdal Ertek, Xu Chi, Allan N. Zhang:
A Framework for Mining RFID Data From Schedule-Based Systems. IEEE Trans. Syst. Man Cybern. Syst. 47(11): 2967-2984 (2017) - Gürdal Ertek, Xu Chi, Allan N. Zhang, Sobhan Asian:
Text mining analysis of wind turbine accidents: An ontology-based framework. IEEE BigData 2017: 3233-3241 - Aloysious J. L. Lee, D. Paul, W. J. Yan, Allan N. Zhang, Mark Goh:
A model for analysing a disrupted supply chain's time-to-recovery under uncertainty. IEEE BigData 2017: 3242-3247
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