A process-driven content-oriented integration framework for knowledge management systems. - Jichen Jiang; Ming Gao 008 (SOLI, 2009)

Web Service QoS Classification Based on Optimized Convolutional Neural Network. - Yu Feng; Ming Gao 008; Zehui Zhang (ISKE, 2019)

Simulation Based Scheduling Strategies Comparison of O2O Instant Delivery System. - Wenzhe Jin; Weihua Wu; Jialin Shi; Ming Gao 008 (ISKE, 2019)

Optimization of Microservice Composition Based on Artificial Immune Algorithm Considering Fuzziness and User Preference. - Ming Gao 008; Mingxia Chen; An Liu; Wai-Hung Ip; Kai-Leung Yung (IEEE Access, 2020)

Workload Prediction of Cloud Workflow Based on Graph Neural Network. - Ming Gao 008; Yuchan Li; Jixiang Yu (WISA, 2021)

A Transformer Based Sales Prediction of Smart Container in New Retail Era. - Ying Jin; Ming Gao 008; Jixiang Yu (ICDLT, 2021)

Workload Prediction of Serverless Computing. - Jinyue Wei; Ming Gao 008 (ICDLT, 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 008; James Abbott Foster (Knowl. Based Syst., 2021)

Single-Machine Scheduling Problems with Variable Processing Times and Past-Sequence-Dependent Delivery Times. - Ji-Bo Wang; Jing Xue; Bo Cui; Ming Gao 008 (Asia Pac. J. Oper. Res., 2022)

Rating prediction of recommended item based on review deep learning and rating probability matrix factorization. - Zhiguo Zhu; Mengru Yan; Xiaoyi Deng; Ming Gao 008 (Electron. Commer. Res. Appl., 2022)

Workflow performance prediction based on graph structure aware deep attention neural network. - Jixiang Yu; Ming Gao 008; Yuchan Li; Zehui Zhang; Wai Hung Ip; Kai-Leung Yung (J. Ind. Inf. Integr., 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 008 (IEEE Trans. Aerosp. Electron. Syst., 2022)

Simulation of online food ordering delivery strategies using multi-agent system models. - Guangyu Zou; Ming Gao 008; Jiafu Tang; Levent Yilmaz 001 (J. Simulation, 2023)

Multi-objective auto-scaling scheduling for micro-service workflows in hybrid clouds. - Shijia Wang; Xuan Liu; Ming Gao 008; Mingxia Chen; Kai-Leung Yung; Shancheng Jiang (Enterp. Inf. Syst., 2023)

Aspect sentiment mining of short bullet screen comments from online TV series. - Jiayue Liu; Ziyao Zhou; Ming Gao 008; Jiafu Tang; Weiguo Fan (J. Assoc. Inf. Sci. Technol., 2023)

Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport. - Jixiang Yu; Nanjun Chen; Ming Gao 008; Xiangtao Li; Ka-Chun Wong (AAAI, 2024)

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 008; Xiaozhe Zhang; Lihua Zhang; Yukui Zhang (Briefings Bioinform., 2024)

A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction. - Guangyu Wang; Yujie Chen; Ming Gao 008; Zhiqiao Wu; Jiafu Tang; Jiabi Zhao (CoRR, 2024)

Multi-Mode Instance-Intensive Workflow Task Batch Scheduling in Containerized Hybrid Cloud. - An Liu; Ming Gao 008; Jiafu Tang (IEEE Trans. Cloud Comput., 2024)

Single-machine group scheduling with general linear deterioration and truncated learning effects. - Na Yin; Ming Gao 008 (Comput. Appl. Math., 2024)

MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation. - Jingmin An; Ming Gao 008; Jiafu Tang (ACM Trans. Inf. Syst., 2024)

Coformer for session-based recommendation with dual positional information. - Weiyue Li; Zhiguo Zhu; Hao Dong; Cheng Chen; Ming Gao 008; Weiguo Fan (Expert Syst. Appl., 2025)

Collaborative local-global context modeling for session-based recommendation. - Weiyue Li; Bowei Chen 001; Ming Gao 008; Jingmin An; Hao Dong; Cheng Chen; Weiguo Fan; Zhiguo Zhu (Inf. Process. Manag., 2025)