姓名：刘字夏
职称：讲师
E-mail:zxliu@ahut.edu.cn
主要研究方向：大数据计算，机器学习，网络安全
个人简介：2022年5月毕业于美国中佛罗里达大学计算机科学专业，获博士学位。现就职于安徽工业大学计算机科学与技术学院。
学术服务：担任IEEEINFOCOM，IEEEIoTJ等国际学术会议及期刊审稿人。担任IEEEPICom2020International Liaison and Publicity Chair。
代表性论著：
Zixia Liu, Liqiang Wang, Gang Quan. Deep Reinforcement Learning based Elasticity-compatible Heterogeneous Resource Management for Time-critical Computing. In 49th International Conference on Parallel Processing (ICPP), 2020. (CCF-B).
Zixia Liu, Hong Zhang, Bingbing Rao, Liqiang Wang. A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment. In IEEE International Conference on Big Data (IEEE BigData), 2018. (CCF-C).
Zixia Liu, Hong Zhang, and Liqiang Wang. Hierarchical Spark: A Multi-cluster Big Data Computing Framework. In the 10th IEEE International Conference on Cloud Computing (IEEE Cloud), 2017. (CCF-C).
Weiwei Xing, Jie Yao, Zixia Liu, Weibin Liu, Shunli Zhang, Liqiang Wang. Contrastive JS: A Novel Scheme for Enhancing the Accuracy and Robustness of Deep Models. (IEEE Transactions on Multimedia), 2022. (SCI 1区, CCF-B).
