Mengying Zhou (周孟莹)
Mengying Zhou (周孟莹)

Assistant Professor at Shanghai University of Finiance and Economics

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About Me

I am an Assistant Professor at the School of Computing and Artificial Intelligence, Shanghai University of Finance and Economics (SUFE). My research focuses on building efficient and scalable machine learning systems and applying AI to solve scientific problems, especially in the domains of urban computing and healthcare. I received my Ph.D. from the School of Computer Science, Fudan University, advised by Prof. Xin Wang (opens new window) and Prof. Yang Chen (opens new window). In 2023, I visited the CPI group at TU Delft, supervised by Prof. Aaron Ding (opens new window).

Openings

Long-term openings for Research Assistant (RA) and Graduated Student positions are available. I am looking for highly motivated students to join my team. If you are interested, feel free to send your resume and a brief research proposal.

Undergraduate students are also encouraged to apply for early research opportunities through the early lab admission program.

News

  • [11/2024] One paper got accepted in ACM/SIGAPP Symposium On Applied Computing (SAC'25).
  • [11/2024] One paper got accepted in Tsinghua Science and Technology (TST).
  • [10/2024] One paper got accepted in ACM/IEEE Symposium on Edge Computing (SEC'24) Posters & Demos.
  • [10/2024] One paper got accepted in ACM Conference on Embedded Networked Sensor Systems (SenSys'24) Posters & Demos.
  • [05/2024] One paper got accepted in IEEE/ACM Transactions on Networking (ToN).
  • [04/2024] One paper got accepted in IEEE International Conference on Distributed Computing Systems (ICDCS'24).

Research Interests

  • Machine Learning Systems: Designing systems-level solutions to enhance the efficiency, scalability, and resource utilization of machine learning workloads.
  • AI for Science: Leveraging AI techniques to tackle scientific and societal challenges, with a focus on urban computing and healthcare applications.
  • Machine Learning for Networking Systems (NetAI): Using machine learning to design, optimize, and operate modern network infrastructures.