Explore maximal frequent itemsets for big data pre-processing based on small sample in cloud computing. - Gaochao Xu; Yan Ding 001; Chunyi Wu 002; Yunan Zhai; Jia Zhao 003 (ICUMT, 2016)

Explore virtual machine deployment to mobile cloud computing for multi-tenancy and energy conservation in wireless network. - Yan Ding 001; Gaochao Xu; Chunyi Wu 002; Liang Hu 001; Yunan Zhai; Jia Zhao 003 (Clust. Comput., 2017)

A Novel Clustering-Based Sampling Approach for Minimum Sample Set in Big Data Environment. - Jia Zhao 003; Jia Sun; Yunan Zhai; Yan Ding 001; Chunyi Wu 002; Ming Hu (Int. J. Pattern Recognit. Artif. Intell., 2018)

Explore unlabeled big data learning to online failure prediction in safety-aware cloud environment. - Jia Zhao 003; Yan Ding 001; Yunan Zhai; Yuqiang Jiang; Yujuan Zhai; Ming Hu (J. Parallel Distributed Comput., 2021)

Explore deep auto-coder and big data learning to hard drive failure prediction: a two-level semi-supervised model. - Yan Ding 001; Yunan Zhai; Yujuan Zhai; Jia Zhao 003 (Connect. Sci., 2022)

Adaptive feature fusion and task-dynamic alignment for real-time object detection on edge devices. - Yan Ding 001; Wenjie Wu; Yunan Zhai; Liyuan Zhang; Lin Pan; Jia Zhao 003 (Expert Syst. Appl., 2025)

Optimizing mobile blockchain networks: A game theoretical approach to cooperative multi-terminal computation. - Lin Pan; Fengrui Chen; Yan Ding 001; Yunan Zhai; Liyuan Zhang; Jia Zhao 003 (Future Gener. Comput. Syst., 2025)

ADAMT: Adaptive distributed multi-task learning for efficient image recognition in Mobile Ad-hoc Networks. - Jia Zhao; Wei Zhao; Yunan Zhai; Liyuan Zhang; Yan Ding (Neural Networks, 2025)