About me. I am a Ph.D student in computer science at INET group, Max Planck Institute for Informatics.

Research Interests. I am broadly interested in systems and networks. Currently, I am working on video streaming with Prof. Anja Feldmann and Prof. Balakrishnan Chandrasekaran. I also work with Prof. Laurent Bindshaedler on blockchain analytics systems.

Prior to MPI. I got my B.S. in the joint program between Queen Mary University of London and Beijing University of Posts and Telecommunications in 2020.

News

[March 2024] AlterEgo is accepted to EdgeSys 2024!

[Sep 2023] I will be a teaching assistant for the seminar Hot Topics in Data Networks next semester.

[April 2023] QSDP is accepted to ICML 2023!

[April 2023] I will be a teaching assistant for the core courses Data Networks and Distributed Systems next semester.

[Sep 2022] Start my Ph.D. study at INET group, MPI for Informatics.

[April 2022] LinkGuardian is accepted to APNet 2022!

Publications

See my Google Scholar for the full publication list.

Conference Papers

• AlterEgo: A Dedicated Blockchain Node For Analytics.
  Qi Guo, Mahdi Alizadeh, Ali Falahati, Laurent Bindschaedler.
  International Workshop on Edge Systems, Analytics and Networking (EdgeSys) (Co-located with EuroSys), 2024.
• Quantized Distributed Training of Large Models with Convergence Guarantees.
  Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh.
  International Conference on Machine Learning (ICML), 2023.
• LinkGuardian: Mitigating the impact of packet corruption loss with link-local retransmission.
  Raj Joshi, Qi Guo, Nishant Budhdev, Ayush Mishra, Mun Choon Chan, Ben Leong.
  Asia-Pacific Workshop on Networking (APNet), 2022.
• Application and Experiments of 5G Technology Powered Industrial Internet.
  Fangmin Xu, Fan Yang, Xinya Wu, Qi Guo, Chenglin Zhao.
  International Conference on Communications (ICC) Workshops, 2019.

Journal Papers

• Predicting spatial visualization problems' difficulty level from eye-tracking data.
  Xiang Li, Rabih Younes, Diana Bairaktarova, Qi Guo.
  Sensors, 2020.

Teaching

Saarland University (as teaching assistant):

• Hot Topics in Data Networks (2023-24 Winter)
• Distributed Systems (2022-23 Summer)
• Data Networks (2022-23 Summer)

Experiences

Education:

• Ph.D. in Computer Science, Max Planck Institute for Informatics and Saarland University (Sep 2022 - Present)
• B.S. in Telecommunication Engineering, Queen Mary University of London and Beijing University of Posts and Telecommunications (Sep 2016 - July 2020)

Industrial:

• Softeware Develpment Engineering Intern, Amazon, Beijing, China (October 2020- July 2021)
• Softeware Develpment Engineering Intern in Test, DiDi, Beijing, China (October 2019 - May 2020)