近日，bat365中文官方网站陈星教授课题组在边缘计算领域的三项最新研究成果被IEEE Transactions on Parallel and Distributed Systems (TPDS, CCF A类)、IEEE Transactions on Industrial Informatics (TII，中科院1区TOP)正式录用并在线发表。

发表在TII上的论文“DNNOff: Offloading DNN-based Intelligent IoT Applications in Mobile Edge Computing”，针对基于DNN的智能应用，提出一种云-边协同环境下的高效的计算卸载使能机制。

发表在TPDS上的论文“Energy-Efficient Offloading for DNN-based Smart IoT Systems in Cloud-Edge Environments”，针对基于DNN的智能应用，提出一种云-边协同环境下的计算卸载任务划分和调度策略。

发表在TII上的论文“A Reinforcement Learning Empowered Feedback Control System for Industrial Internet of Things”，针对多边缘协同的负载均衡问题，提出一种基于强化学习的分布式决策框架。

论文信息如下：

1. Xing Chen, Jianshan Zhang, Bing Lin, Zheyi Chen, Katinka Wolter, Geyong Min. Energy-Efficient Offloading for DNN-based Smart IoT Systems in Cloud-Edge Environments. IEEE Transactions on Parallel and Distributed Systems, Publish Online, DOI: 10.1109/TPDS.2021.3100298. https://ieeexplore.ieee.org/document/9497712

2. Xing Chen, Ming Li, Hao Zhong, Yun Ma, Ching-Hsien Hsu. DNNOff: Offloading DNN-based Intelligent IoT Applications in Mobile Edge Computing. IEEE Transactions on Industrial Informatics, Publish Online, DOI: 10.1109/TII.2021.3075464. https://ieeexplore.ieee.org/document/9416166

3. Xing Chen, Junqin Hu, Zheyi Chen, Bing Lin, Naixue Xiong, Geyong Min. A Reinforcement Learning Empowered Feedback Control System for Industrial Internet of Things. IEEE Transactions on Industrial Informatics, Publish Online, DOI: 10.1109/TII.2021.3076393. https://ieeexplore.ieee.org/document/9419715