Huamao Xie

About Me

I am Huamao Xie (谢华茂), currently a Ph.D. candidate at the School of Computer Science and Technology, Beijing Jiaotong University, under the supervision of Prof. Ding Ding. Prior to this, I obtained my Master of Engineering degree from Jiangxi University of Science and Technology in June 2020, under the supervision of Prof. Zhendong Wang. My research interests lie in cloud workflow scheduling, neural networks, and evolutionary intelligence, with a particular focus on the integration and application of deep learning and reinforcement learning in multi-objective optimization. My goal is to develop efficient multi-objective optimization methods for real-world engineering applications.

Research Interests

• Cloud Computing: cloud workflow scheduling, cloud task scheduling, cloud resource allocation, virtual machine placement
• Multi-objective Optimization: multi-objective evolutionary algorithms, neural networks, deep learning, reinforcement learning

News

• [Aug. 2024] Our paper on dynamic cloud workflow scheduling using multi-objective evolutionary algorithms and transfer learning has been accepted to TCC.
• [Jan. 2024] Our paper on imitation learning for cloud task scheduling has been accepted to FGCS.
• [Oct. 2023] Our paper on cloud workflow scheduling with preference-based multi-objective evolutionary algorithms has been accepted to ESWA.
• [Dec. 2021] Our paper on cloud task scheduling via deep reinforcement learning has been accepted to TNSM.
• [Aug. 2021] Our paper on virtual machine placement via deep reinforcement learning has been accepted to TPDS.

Publications

Services

Journal Reviewers

• IEEE Transactions on Cloud Computing (TCC)
• IEEE Transactions on Mobile Computing (TMC)
• IEEE Transactions on Automation Science and Engineering (TASE)
• Journal of Artificial Intelligence (AIJ)
• IEEE Sensors Journal

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