Zili Meng (孟子立)
PhD Candidate
Institute for Network Sciences and Cyberspace
Tsinghua University
Room 4-204, FIT Building, Tsinghua University, Beijing, China.
Email: 
[Curriculum Vitae] [Research Statement] [Teaching Statement]
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I'm on the faculty job market this year! Please contact me if there are any opportunities.
[10/2022] (Award) Honored with ByteDance Scholar.
[07/2022] (Paper) AFR accepted to NSDI’23.
[05/2022] (Paper) Zhuge accepted to SIGCOMM’22.
[02/2022] (Career) I'm working with Justine Sherry at CMU this year. Physically find me at GHC 9230.
About
Zili is currently a 4th-year PhD student in Routing Group, with Institute for Network Sciences and Cyberspace, Tsinghua University, advised by Prof. Mingwei Xu.
He received his B.Eng. (Hons) in electronic engineering from Tsinghua University, advised by Prof. Jun Bi (late).
Besides, he is also fortunate to be advised or mentored by Prof. Hongxin Hu (University at Buffalo), Prof. Mohammad Alizadeh (MIT), Dr. Chen Sun (Alibaba), and Prof. Justine Sherry (CMU).
His research received Gold Medal of SIGCOMM 2018 SRC and Best Paper Awards from IWQoS 2021 and ICC 2020.
He is also the recipient of Microsoft Research PhD Fellowship (Asia), ByteDance Scholar, and Tsinghua Top Grade Scholarship.
He loves honest feedback. Please tell him something anonymously. (inspired by Stewart Grant).
Recent Publication Highlights
Enabling High Quality Real-Time Communications with Adaptive Frame-Rate. USENIX NSDI 2023.
Achieving Consistent Low Latency for Wireless Real-Time Communications with the Shortest Control Loop. ACM SIGCOMM 2022.
Detecting Ephemeral Optical Events with OpTel. USENIX NSDI 2022.
Interpreting Deep Learning-Based Networking Systems. ACM SIGCOMM 2020.
Learning Scheduling Algorithms for Data Processing Clusters. ACM SIGCOMM 2019.
PiTree: Practical Implementation of ABR Algorithms Using Decision Trees. ACM Multimedia 2019.
Research Interests
My main research interest lies in the computer network and systems, with intersection over multimedia, human-computer interaction, and machine learning.
Now we are closer to next-generation real-time interactive multimedia streaming systems (e.g., metaverse, cloud gaming, virtual reality, or videoconferencing) than anytime in the history.
However, the underlying network is still not enough to provide a consistent low latency and support a satisfactory experience for users.
I proposed several networked systems to provide consistent low latency for real-time interactive multimedia streaming systems, across all network stacks to reduce end-to-end latency fluctuations.
Going forward, my plan is to enable real-time interactive multimedia streaming systems to be a part of real life with more consistent low latency.
Real-Time Multimedia Streaming (RTC)
AFR [NSDI’23], Zhuge [SIGCOMM’22], PiTree [MM’19, ToN’21], etc.
Machine Learning for Networking Systems (NetAI)
Metis [SIGCOMM’20], Decima [SIGCOMM’19], WiseTrans [WWW’21], etc.
Network Management