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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.org/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
- Ming Gao 0009 — Zhejiang Gongshang University, Hangzhou, China
- Ming Gao 0010 — Digital Content Technology Center, Tencent Games, USA
- Ming Gao 0011 — Shandong University, Jinan, China
- Ming Gao 0012 — Hunan University, Changsha, China
- Ming Gao 0013 — Chongqing University of Posts and Telecommunications, Chongqing, China
- Ming Gao 0014 — Bohai University, China
- Ming Gao 0015 — Fuzhou Institute of Technology, Fuzhou, China
- Ming Gao 0016 — JiangHan University, Wuhan, Hubei, China
- Ming Gao 0017 — Harbin Normal University, Harbin, China
- Ming Gao 0018 — School of Education, Shanghai Normal University, Shanghai, China
- Ming Gao 0019 — Shanghai University, Shanghai, China
- Ming Gao 0020 — University of Pittsburgh, PA, USA
- Ming Gao 0021 — Northeast Electric Power University, Jilin, China
- Ming Gao 0022 — Shandong University, Jinan, China
- Ming Gao 0023 — Nanjing University of Posts and Telecommunications, Nanjing, China
- Ming Gao 0024 — Henan Key Laboratory of Network Cryptography Technology, Zhengzhou, China
- Ming Gao 0025 — alu.cqu.edu.cn
- Ming Gao 0026 — Jiangnan University, Wuxi, China
- Ming Gao 0027 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China
- Ming Gao 0028 — Xidian University, Xi'an, Shaanxi, China
- Ming Gao 0029 — Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China
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2020 – today
- 2026
[j19]Weiyue Li, Ming Gao, Bowei Chen, Jingmin An, Hao Dong, Wei Jiang, Jiafu Tang:
Dimos: Diffusion model with unified sequential state space for session-based recommendation. Eng. Appl. Artif. Intell. 169: 114131 (2026)- 2025
- [j18]Jiaqi Wang, Ronggang Xi, Yi Wang, Huiyuan Gao, Ming Gao, Xiaozhe Zhang, Lihua Zhang, Yukui Zhang:
Toward molecular diagnosis of major depressive disorder by plasma peptides using a deep learning approach. Briefings Bioinform. 26(1) (2025) - [j17]Weiyue Li, Ming Gao, Bowei Chen, Jingmin An, Yeming Gong:
Social capital matters: Towards comprehensive user preference for product recommendation with deep learning. Decis. Support Syst. 198: 114527 (2025) - [j16]Weiyue Li, Zhiguo Zhu, Hao Dong, Cheng Chen, Ming Gao, Weiguo Fan:
Coformer for session-based recommendation with dual positional information. Expert Syst. Appl. 283: 127732 (2025) - [j15]Weiyue Li, Bowei Chen, Ming Gao, Jingmin An, Hao Dong, Cheng Chen, Weiguo Fan, Zhiguo Zhu:
Collaborative local-global context modeling for session-based recommendation. Inf. Process. Manag. 62(5): 104196 (2025) - [j14]Ji-Bo Wang, Zheng-Wei Sun, Ming Gao:
Research on single-machine scheduling with due-window assignment and resource allocation under total resource consumption cost is bounded. J. Appl. Math. Comput. 71(6): 7905-7927 (2025) - [c8]Guangyu Wang, Yujie Chen, Ming Gao, Zhiqiao Wu, Jiafu Tang:
RoseNet: A Cross-Modal Incongruity Adaptive Graph Learning Network in Multimodal Sentiment Recognition. IJCNN 2025: 1-8 - 2024
- [j13]Na Yin, Ming Gao:
Single-machine group scheduling with general linear deterioration and truncated learning effects. Comput. Appl. Math. 43(6): 386 (2024) - [j12]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) - [j11]Jingmin An, Ming Gao, Jiafu Tang:
MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation. ACM Trans. Inf. Syst. 42(6): 152:1-152:29 (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 - [i1]Guangyu Wang, Yujie Chen, Ming Gao, Zhiqiao Wu, Jiafu Tang, Jiabi Zhao:
A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction. CoRR abs/2409.17440 (2024) - 2023
- [j10]Jixiang Yu, Nanjun Chen, Zetian Zheng, Ming Gao, Ning Liang, Ka-Chun Wong:
Chromothripsis detection with multiple myeloma patients based on deep graph learning. Bioinform. 39(7) (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) - [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 - 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)
2010 – 2019
- 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
2000 – 2009
- 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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