I work at Google. I earned a Ph.D. in Computer Science and Engineering from the University of Michigan, advised by Professor Z. Morley Mao. My research is on developing mobile systems and networking support for characterizing and improving emerging Internet applications, with a current focus on optimizing video streaming and playback systems. Before my Ph.D. study, I got a Bachelor of Engineering degree from Tsinghua University, in China, where I was born and raised.

At Google, I tackle real-world challenges in optimizing and personalizing video playback experiences for billions of users across the globe, with innovations in mobile systems and networking, multimedia streaming, machine learning, etc.

Selected Publications

(* indicates equal contribution. A full list can be found here or on Google Scholar.)

• [ MMSys'24 ] OASIS: Collaborative Neural-Enhanced Mobile Video Streaming
  Shuowei Jin, Ruiyang Zhu, Ahmad Hassan, Xiao Zhu, Xumiao Zhang, Z. Morley Mao, Feng Qian, Zhi-Li Zhang
  Proceedings of the 15th ACM Multimedia Systems Conference, Bari, Italy, Apr. 2024.
  Best Paper Award (top 1 out of 56 submissions)
  [PDF]  [Slides] 

• [ MM'24 ] An In-depth Study of Bandwidth Allocation across Media Sources in Video Conferencing
  Zejun Zhang, Xiao Zhu, Anlan Zhang, Feng Qian
  Proceedings of the 32nd ACM International Conference on Multimedia, Melbourne, Australia, Oct. 2024.
  Oral Presentation (3.97% = top 174 out of 4385 submissions)
  [PDF] 

• [ MMSys'21 ] Livelyzer: Analyzing the First-Mile Ingest Performance of Live Video Streaming
  Xiao Zhu, Subhabrata Sen, Z. Morley Mao
  Proceedings of the 12th ACM Multimedia Systems Conference, Istanbul, Turkey, Sept. 2021.
  Best Paper Award (top 1 out of 55 submissions)
  [PDF]

• [ MobiCom'21 ] EMP: Edge-assisted Multi-vehicle Perception
  Xumiao Zhang, Anlan Zhang, Jiachen Sun, Xiao Zhu, Yihua Ethan Guo, Feng Qian, Z. Morley Mao
  Proceedings of the 27th ACM International Conference on Mobile Computing and Networking, New Orleans, LA, Jan. 2022.
  (In Purdue CS592 Reading List)
  [PDF]  [EMP source code]  [Multi-vehicle dataset]  [Multi-vehicle data collector]

• [ SIGCOMM'21 ] A Variegated Look at 5G in the Wild: Performance, Power, and QoE Implications
  Arvind Narayanan^∗, Xumiao Zhang^∗, Ruiyang Zhu, Ahmad Hassan, Shuowei Jin, Xiao Zhu, Xiaoxuan Zhang, Denis Rybkin, Zhengxuan Yang, Z. Morley Mao, Feng Qian, Zhi-Li Zhang
  Proceedings of the Annual Conference of the ACM Special Interest Group on Data Communication, Online, Aug. 2021.
  (In UCSD CSE 291 Readings, USC CSci551 Syllabus, JHU EN.601.714 Papers, and Purdue CS592 Reading List)
  [PDF]  [Presentation video (short)]  [Presentation video (long)]  [5G dataset]

• [ MobiSys'20 ] MPBond: Efficient Network-level Collaboration Among Personal Mobile Devices
  Xiao Zhu, Jiachen Sun, Xumiao Zhang, Y. Ethan Guo, Feng Qian, Z. Morley Mao
  Proceedings of the 18th ACM International Conference on Mobile Systems, Applications, and Services, Toronto, Canada, June 2020.
  (Acceptance rate 19.4% = 34/175)
  [PDF]  [PPT slides]  [Presentation video]  [MPBond source code]

• [ SIGMETRICS'19 ] Understanding the Networking Performance of Wear OS
  Xiao Zhu, Yihua Ethan Guo, Ashkan Nikravesh, Feng Qian, Z. Morley Mao
  ACM International Conference on Measurement and Modeling of Computer Systems, Phoenix, AZ, June 2019 (Part of FCRC 2019).
  (Acceptance rate 15.8% = 50/317)
  (One of the suggested papers in U. Calgary CPSC641 Presentation List)
  [PDF]  [PPT slides]  [WearMan source code]

• [ SOSR'19 ] ADD: Application and Data-Driven Controller Design
  Yikai Lin^∗, Yuru Shao^∗, Xiao Zhu^∗, Junpeng Guo, Kira Barton, Z. Morley Mao
  Proceedings of the 5th ACM SIGCOMM Symposium on SDN Research, San Jose, CA, April 2019.
  [PDF] 

• [ MobiCom'19 ] MP-H2: A Client-only Multipath Solution for HTTP/2
  Ashkan Nikravesh, Yihua Guo, Xiao Zhu (presenter), Feng Qian, Z. Morley Mao
  Proceedings of the 25th ACM International Conference on Mobile Computing and Networking, Los Cabos, Mexico, Oct. 2019.
  (Acceptance rate 18.9% = 55/290) (In Most Influential MOBICOM Papers by Paper Digest)
  (In Purdue CS590 Reading List and Peking Univ. Computer Networks Lab Assignment)
  [PDF]  [PPT slides]  [Presentation video]

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