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

Hand Gesture Recognition Based on Deep Neural Network and sEMG Signal. - Handong Liu; Zhen Zhang 020; Jinwu Qian; Wei Wang; Kaixuan Kang (ROBIO, 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)

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)

Extended Kalman Filter Based Delay Compensation for High-Precision UAV Time Synchronization. - Ning Meng; Weimiao Jing; Kaixuan Kang; Suzhi Cao; Peng Liu (ICCT, 2024)

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)

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)