User-oriented cloud resource scheduling with feedback integration. - Ding Ding 001; Xiaocong Fan; Siwei Luo (J. Supercomput., 2016)

Using NearestGraph QoS Prediction Method for Service Recommendation in the Cloud. - Yiqi Fu; Ding Ding 001; Seid Ahmed (Wirel. Commun. Mob. Comput., 2018)

Adaptive Multi-Threshold Energy-Aware Virtual Machine Consolidation in Cloud Data Center. - Yingyue Hu; Ding Ding 001; Kaixuan Kang; Tingting Li (BESC, 2019)

Q-learning based dynamic task scheduling for energy-efficient cloud computing. - Ding Ding 001; Xiaocong Fan; Yihuan Zhao; Kaixuan Kang; Qian Yin; Jing Zeng (Future Gener. Comput. Syst., 2020)

Adaptive DRL-Based Virtual Machine Consolidation in Energy-Efficient Cloud Data Center. - Jing Zeng; Ding Ding 001; Kaixuan Kang; Huamao Xie; Qian Yin (IEEE Trans. Parallel Distributed Syst., 2022)

Joint Deep Networks Based Multi-Source Feature Learning for QoS Prediction. - Youhao Xia; Ding Ding 001; Zhenhua Chang; Fan Li (IEEE Trans. Serv. Comput., 2022)

Adaptive DRL-Based Task Scheduling for Energy-Efficient Cloud Computing. - Kaixuan Kang; Ding Ding 001; Huamao Xie; Qian Yin; Jing Zeng (IEEE Trans. Netw. Serv. Manag., 2022)

Spatial Context-Aware Time-Series Forecasting for QoS Prediction. - Jie Zhou; Ding Ding 001; Ziteng Wu; Yuting Xiu (IEEE Trans. Netw. Serv. Manag., 2023)

Effects of Motion-Relevant Knowledge From Unlabeled Video to Human-Object Interaction Detection. - Xue Lin 003; Qi Zou 001; Xixia Xu; Yaping Huang; Ding Ding 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Imitation learning enabled fast and adaptive task scheduling in cloud. - Kaixuan Kang; Ding Ding 001; Huamao Xie; Lihong Zhao; Yinong Li; Yixuan Xie (Future Gener. Comput. Syst., 2024)

Transfer Learning Based Multi-Objective Evolutionary Algorithm for Dynamic Workflow Scheduling in the Cloud. - Huamao Xie; Ding Ding 001; Lihong Zhao; Kaixuan Kang (IEEE Trans. Cloud Comput., 2024)

Robust QoS Prediction Based on Reputation Integrated Graph Convolution Network. - Ziteng Wu; Ding Ding 001; Yuting Xiu; Yuekun Zhao; Jing Hong (IEEE Trans. Serv. Comput., 2024)

A two-stage preference driven multi-objective evolutionary algorithm for workflow scheduling in the Cloud. - Huamao Xie; Ding Ding 001; Lihong Zhao; Kaixuan Kang; Qiaofeng Liu (Expert Syst. Appl., 2024)

Dual heterogeneous graph contrastive learning for QoS prediction. - Yuting Xiu; Ding Ding 001; Ziteng Wu; Yuekun Zhao; Jiaqi Liu (Appl. Intell., 2025)