Ming Gao

According to our database, Ming Gao authored at least 30 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Synergizing Anti-Cancer Drug Combinations With Dual-View Hypergraph Representation Fusion.

Jixiang Yu, Nanjun Chen, Linlin Cao, Ming Gao, Daizong Liu, Fuzhou Wang, Qiuzhen Lin, Xiangtao Li, Ka-Chun Wong

IEEE J. Biomed. Health Informatics, May, 2026

MLAFormer: Multi-scale transformer with local convolutional auto-correlation and pre-training for time series forecasting.

Ying Jin, Ming Gao, Jiafu Tang, Weiguo Fan, Yanwu Yang, Jingmin An

Inf. Process. Manag., 2026

Dimos: Diffusion model with unified sequential state space for session-based recommendation.

Weiyue Li, Ming Gao, Bowei Chen, Jingmin An, Hao Dong, Wei Jiang, Jiafu Tang

Eng. Appl. Artif. Intell., 2026

2025

Toward molecular diagnosis of major depressive disorder by plasma peptides using a deep learning approach.

Jiaqi Wang, Ronggang Xi, Yi Wang, Huiyuan Gao, Ming Gao, Xiaozhe Zhang, Lihua Zhang, Yukui Zhang

Briefings Bioinform., January, 2025

Research on single-machine scheduling with due-window assignment and resource allocation under total resource consumption cost is bounded.

Ji-Bo Wang, Zheng-Wei Sun, Ming Gao

J. Appl. Math. Comput., 2025

Collaborative local-global context modeling for session-based recommendation.

Weiyue Li, Bowei Chen, Ming Gao, Jingmin An, Hao Dong, Cheng Chen, Weiguo Fan, Zhiguo Zhu

Inf. Process. Manag., 2025

Coformer for session-based recommendation with dual positional information.

Weiyue Li, Zhiguo Zhu, Hao Dong, Cheng Chen, Ming Gao, Weiguo Fan

Expert Syst. Appl., 2025

Social capital matters: Towards comprehensive user preference for product recommendation with deep learning.

Weiyue Li, Ming Gao, Bowei Chen, Jingmin An, Yeming Gong

Decis. Support Syst., 2025

RoseNet: A Cross-Modal Incongruity Adaptive Graph Learning Network in Multimodal Sentiment Recognition.

Guangyu Wang, Yujie Chen, Ming Gao, Zhiqiao Wu, Jiafu Tang

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation.

Jingmin An, Ming Gao, Jiafu Tang

ACM Trans. Inf. Syst., November, 2024

Single-machine group scheduling with general linear deterioration and truncated learning effects.

Na Yin, Ming Gao

Comput. Appl. Math., September, 2024

Multi-Mode Instance-Intensive Workflow Task Batch Scheduling in Containerized Hybrid Cloud.

An Liu, Ming Gao, Jiafu Tang

IEEE Trans. Cloud Comput., 2024

A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction.

Guangyu Wang, Yujie Chen, Ming Gao, Zhiqiao Wu, Jiafu Tang, Jiabi Zhao

CoRR, 2024

Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport.

Jixiang Yu, Nanjun Chen, Ming Gao, Xiangtao Li, Ka-Chun Wong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Aspect sentiment mining of short bullet screen comments from online TV series.

Jiayue Liu, Ziyao Zhou, Ming Gao, Jiafu Tang, Weiguo Fan

J. Assoc. Inf. Sci. Technol., August, 2023

Multi-objective auto-scaling scheduling for micro-service workflows in hybrid clouds.

Shijia Wang, Xuan Liu, Ming Gao, Mingxia Chen, Kai-Leung Yung, Shancheng Jiang

Enterp. Inf. Syst., July, 2023

Simulation of online food ordering delivery strategies using multi-agent system models.

Guangyu Zou, Ming Gao, Jiafu Tang, Levent Yilmaz

J. Simulation, 2023

Chromothripsis detection with multiple myeloma patients based on deep graph learning.

Jixiang Yu, Nanjun Chen, Zetian Zheng, Ming Gao, Ning Liang, Ka-Chun Wong

Bioinform., 2023

2022

Automated Detection of Multitype Landforms on Mars Using a Light-Weight Deep Learning-Based Detector.

Shancheng Jiang, Zongkai Lian, Kai-Leung Yung, W. H. Ip, Ming Gao

IEEE Trans. Aerosp. Electron. Syst., 2022

Workflow performance prediction based on graph structure aware deep attention neural network.

Jixiang Yu, Ming Gao, Yuchan Li, Zehui Zhang, Wai Hung Ip, Kai-Leung Yung

J. Ind. Inf. Integr., 2022

Rating prediction of recommended item based on review deep learning and rating probability matrix factorization.

Zhiguo Zhu, Mengru Yan, Xiaoyi Deng, Ming Gao

Electron. Commer. Res. Appl., 2022

Single-Machine Scheduling Problems with Variable Processing Times and Past-Sequence-Dependent Delivery Times.

Ji-Bo Wang, Jing Xue, Bo Cui, Ming Gao

Asia Pac. J. Oper. Res., 2022

2021

A robust end-to-end deep learning framework for detecting Martian landforms with arbitrary orientations.

Shancheng Jiang, Fan Wu, Kai-Leung Yung, Yingqiao Yang, W. H. Ip, Ming Gao, James Abbott Foster

Knowl. Based Syst., 2021

Workload Prediction of Serverless Computing.

Jinyue Wei, Ming Gao

Proceedings of the ICDLT 2021: 5th International Conference on Deep Learning Technologies, Qingdao, China, July 23, 2021

A Transformer Based Sales Prediction of Smart Container in New Retail Era.

Ying Jin, Ming Gao, Jixiang Yu

Proceedings of the ICDLT 2021: 5th International Conference on Deep Learning Technologies, Qingdao, China, July 23, 2021

Workload Prediction of Cloud Workflow Based on Graph Neural Network.

Ming Gao, Yuchan Li, Jixiang Yu

Proceedings of the Web Information Systems and Applications, 2021

2020

Optimization of Microservice Composition Based on Artificial Immune Algorithm Considering Fuzziness and User Preference.

Ming Gao, Mingxia Chen, An Liu, Wai-Hung Ip, Kai-Leung Yung

IEEE Access, 2020

2019

Simulation Based Scheduling Strategies Comparison of O2O Instant Delivery System.

Wenzhe Jin, Weihua Wu, Jialin Shi, Ming Gao

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Web Service QoS Classification Based on Optimized Convolutional Neural Network.

Yu Feng, Ming Gao, Zehui Zhang

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

2009

A process-driven content-oriented integration framework for knowledge management systems.

Jichen Jiang, Ming Gao

Proceedings of the 2009 IEEE/INFORMS International Conference on Service Operations, 2009