About me. I am a Ph.D student in computer science at Max Planck Institute for Informatics, advised by Prof. Anja Feldmann and Prof. Balakrishnan Chandrasekaran.

Research Interests. I am broadly interested in systems and networking. Currently, my research focuses on cost-efficient video streaming and partially reliable transport.

Prior to MPI. I got my B.S. degree 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 and Supervision

Saarland University:

• Hot Topics in Data Networks (2023-24 Winter as teaching assistant, 2024-25 Winter as tutor)
• Distributed Systems (2022-23 Summer as teaching assistant)
• Data Networks (2022-23 Summer as tutor)

Thesis Supervision

• Master Thesis, Topic: Layered Video Streaming, Jaideep More, Saarland University (2025), co-advised with Dr. Taha Albakour and Dr. Tiago Heinrich .
• Bachelor Thesis, Topic: Video Streaming ABR Evaluation in Mobile Network, Erin Elagöz, Vrije Universiteit Amsterdam (2025), co-advised with Prof. Balakrishnan Chandrasekaran.
• Master Thesis, Topic: Partially Reliable Transport with QUIC Datagram, Punit Lodha, Saarland University (2024-25), co-advised with Prof. Balakrishnan Chandrasekaran.
• Master Thesis, Topic: Web Browsing with Partially Reliable Transport, Aditya N. Srivastava, Vrije Universiteit Amsterdam (2024), co-advised with Prof. Balakrishnan Chandrasekaran.

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)

Academic:

• NSDI '26 Artifacts Evaluation Committee

Industrial:

• PhD Intern, Bell Labs, Stuttgart, Germany (September 2025- December 2025)
• Software Development Engineering Intern, Amazon, Beijing, China (October 2020- July 2021)
• Software Development Engineering Intern, DiDi, Beijing, China (October 2019 - May 2020)