I am a Ph.D. student in Electrical Engineering and Computer Science at MIT. My advisor is Prof. Mohammad Alizadeh in Computer Science and Artificial Intelligence Laboratory.

I received my B.S. from Hong Kong University of Science and Technology, majored in Math and Computer Science, minored in Physics. I got my M.S. from MIT.


  • Learning Scheduling Algorithms for Data Processing Clusters
  • Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan, Zili Meng, Mohammad Alizadeh
    SIGCOMM 2019
    [Paper] [Website] [Code] [Slides] [Talk]

  • Park: An Open Platform for Learning Augmented Computer Systems
  • Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani, Songtao He, Frank Cangialosi, Shaileshh Bojja Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh
    ICML workshop, 2019
    [Paper] [Code] [Poster]

  • Real-world Video Adaptation with Reinforcement Learning
  • Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, Eytan Bakshy
    ICML workshop, 2019
    [Paper] [Poster]

  • Variance Reduction for Reinforcement Learning in Input-Driven Environments
  • Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf,
    Mohammad Alizadeh
    ICLR 2019
    [Paper] [Website] [Code] [Demo] [Poster]

  • Neo: A Learned Query Optimizer
  • Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul
    VLDB 2019

  • SageDB: A Learned Database System
  • Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Jialin Ding, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan
    CIDR 2019

  • Neural Adaptive Video Streaming with Pensieve
  • Hongzi Mao, Ravi Netravali, Mohammad Alizadeh
    ACM SIGCOMM 2017
    [Paper] [Website] [Code] [Slides] [Talk] [Video]

  • Resource Management with Deep Reinforcement Learning
  • Hongzi Mao, Mohammad Alizadeh, Ishai Menache, Srikanth Kandula
    ACM HotNets 2016
    [Paper] [Code] [Slides] [Poster]

  • NUMFabric: Fast and Flexible Bandwidth Allocation in Datacenters
  • Kanthi Nagaraj, Dinesh Bharadia, Hongzi Mao, Sandeep Chinchali,
    Mohammad Alizadeh, Sachin Katti
    ACM SIGCOMM 2016

  • RF-Capture: Capturing the Human Figure Through a Wall
  • Fadel Adib, Chen-Yu Hsu, Hongzi Mao, Dina Katabi, Fredo Durand
    ACM SIGGRAPH Asia 2015
    [Paper] [Website] [Video]

  • Smart Homes that Monitor Breathing and Heart Rate
  • Fadel Adib, Hongzi Mao, Zachary Kabelac, Dina Katabi, Robert C. Miller
    ACM CHI 2015
    [Paper] [Website] [Video] [Slides]
    Honorable Mention Award

  • Demo: Real-time Breath Monitoring Using Wireless Signals
  • Fadel Adib, Zachary Kabelac, Hongzi Mao, Dina Katabi, Robert C. Miller
    ACM MobiCom 2014
    [Paper] [Website] [Video]
    Best Demo Award

  • Fluctuation-response Model Unifies Dynamical Behaviors
    in Neural Fields
  • C. C. Alan Fung, K. Y. Michael Wong, Hongzi Mao, Si Wu
    Physical Review E, ArXiv:1409.2114

    Honors & Awards

  • ICML Workshop Best Paper Award, 2019
  • Qualcomm Innovation Fellowship, 2017
  • Andrew (1956) and Erna Viterbi Fellowship, 2015
  • CSAIL Research Highlight Competition First Place, 2015
  • SIGCHI Best of CHI Honorable Mention Award, 2015
  • HKUST Academic Achievement Medal, 2015
  • Hong Kong Government Talent Development Scholarship, 2015
  • Cheng Foundation Scholarship, 2015
  • HKUST Math Epsilon Award, 2015
  • ACM MobiCom Best Demo Award, 2014
  • Mr Armin and Mrs Lillian Kitchell Undergraduate Research Award First Runner-up, 2014
  • Hong Kong Government Reaching Out Award, 2014
  • Paul Ching Wu Chu Scholarship, 2013
  • Paul and May Chu Research Award Finalist, 2013
  • China Merchants Scholarship, 2013
  • Dean’s List Award, 2012, 2013, 2014, 2015
  • HKUST School of Science Scholarship, 2011, 2012

  • Teaching

  • 6.829 Computer Networks, Fall 2016

  • News & Media

    Forbes, Tech Crunch, Engadget, Daily Mail, Science Daily, MIT News, International Business Times, Electronic 360, Inverse, Digital Journal, FossBytes, and other media outlets covered Pensieve.

    Washington Post, NBC, CNBC, BBC, Business Insider, Huffington Post, International Business Times , Daily Mail, Popular Science, Gizmodo, Popular Machanics, The Verge, Quartz, and other media outlets covered RF-Capture.

    Ditigal Trends, Discovery News, Wired, Gizmodo, AMC Tech News, Phys.org, Le Figaro, UPI, Popular Science, New Scientist, NOVA Next|PBS, and other media outlets covered Vital-Radio.