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ORCIDMing Gao 0008
Person information
- affiliation: Dongbei University of Finance & Economics, Key Laboratory of Big Data Management, Optimization and Decision of Liaoning Province, Dalian, China
Other persons with the same name
- Ming Gao — disambiguation page
- Ming Gao 0001
![[0000-0002-5603-2680]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-5603-2680")
— East China Normal University, School of Data Science and Engineering, Shanghai, China (and 1 more) - Ming Gao 0002 — National University of Defense Technology, Changsha, China
- Ming Gao 0003 — University of Reading, School of Systems Engineering, UK
- Ming Gao 0005 — FZI Forschungszentrum Informatik, Group of Technisch Kognitive Assistenzsysteme, Germany
- Ming Gao 0006 — China University of Petroleum (East China), College of Information and Control Engineering, Qingdao, China (and 1 more)
- Ming Gao 0007 — Northeastern University, School of Information Science and Engineering, Shenyang, China
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Journal Articles
- 2024
[j11]Na Yin, Ming Gao:
Single-machine group scheduling with general linear deterioration and truncated learning effects. Comput. Appl. Math. 43(6): 386 (2024)- [j10]An Liu, Ming Gao, Jiafu Tang:
Multi-Mode Instance-Intensive Workflow Task Batch Scheduling in Containerized Hybrid Cloud. IEEE Trans. Cloud Comput. 12(1): 159-173 (2024) - 2023
- [j9]Shijia Wang, Xuan Liu, Ming Gao, Mingxia Chen, Kai-Leung Yung, Shancheng Jiang:
Multi-objective auto-scaling scheduling for micro-service workflows in hybrid clouds. Enterp. Inf. Syst. 17(7) (2023) - [j8]Jiayue Liu, Ziyao Zhou, Ming Gao, Jiafu Tang, Weiguo Fan:
Aspect sentiment mining of short bullet screen comments from online TV series. J. Assoc. Inf. Sci. Technol. 74(8): 1026-1045 (2023) - [j7]Guangyu Zou, Ming Gao, Jiafu Tang, Levent Yilmaz:
Simulation of online food ordering delivery strategies using multi-agent system models. J. Simulation 17(3): 297-311 (2023) - 2022
- [j6]Ji-Bo Wang, Jing Xue, Bo Cui, Ming Gao:
Single-Machine Scheduling Problems with Variable Processing Times and Past-Sequence-Dependent Delivery Times. Asia Pac. J. Oper. Res. 39(2): 2150013:1-2150013:18 (2022) - [j5]Zhiguo Zhu, Mengru Yan, Xiaoyi Deng, Ming Gao:
Rating prediction of recommended item based on review deep learning and rating probability matrix factorization. Electron. Commer. Res. Appl. 54: 101160 (2022) - [j4]Jixiang Yu, Ming Gao, Yuchan Li, Zehui Zhang, Wai Hung Ip, Kai-Leung Yung:
Workflow performance prediction based on graph structure aware deep attention neural network. J. Ind. Inf. Integr. 27: 100337 (2022) - [j3]Shancheng Jiang, Zongkai Lian, Kai-Leung Yung, W. H. Ip, Ming Gao:
Automated Detection of Multitype Landforms on Mars Using a Light-Weight Deep Learning-Based Detector. IEEE Trans. Aerosp. Electron. Syst. 58(6): 5015-5029 (2022) - 2021
- [j2]Shancheng Jiang, Fan Wu, Kai-Leung Yung, Yingqiao Yang, W. H. Ip, Ming Gao, James Abbott Foster:
A robust end-to-end deep learning framework for detecting Martian landforms with arbitrary orientations. Knowl. Based Syst. 234: 107562 (2021) - 2020
- [j1]Ming Gao, Mingxia Chen, An Liu, Wai-Hung Ip, Kai-Leung Yung:
Optimization of Microservice Composition Based on Artificial Immune Algorithm Considering Fuzziness and User Preference. IEEE Access 8: 26385-26404 (2020)
Conference and Workshop Papers
- 2024
- [c7]Jixiang Yu, Nanjun Chen, Ming Gao, Xiangtao Li, Ka-Chun Wong:
Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport. AAAI 2024: 356-364 - 2021
- [c6]Ming Gao, Yuchan Li, Jixiang Yu:
Workload Prediction of Cloud Workflow Based on Graph Neural Network. WISA 2021: 169-189 - [c5]Ying Jin, Ming Gao, Jixiang Yu:
A Transformer Based Sales Prediction of Smart Container in New Retail Era. ICDLT 2021: 46-53 - [c4]Jinyue Wei, Ming Gao:
Workload Prediction of Serverless Computing. ICDLT 2021: 93-99 - 2019
- [c3]Wenzhe Jin, Weihua Wu, Jialin Shi, Ming Gao:
Simulation Based Scheduling Strategies Comparison of O2O Instant Delivery System. ISKE 2019: 196-203 - [c2]Yu Feng, Ming Gao, Zehui Zhang:
Web Service QoS Classification Based on Optimized Convolutional Neural Network. ISKE 2019: 584-590 - 2009
- [c1]Jichen Jiang, Ming Gao:
A process-driven content-oriented integration framework for knowledge management systems. SOLI 2009: 213-218
Coauthor Index
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