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.

Publications  (Google Scholar)

  • Park: An Open Platform for Learning Augmented Computer Systems
  • H. Mao, P. Negi, A. Narayan, H. Wang, J. Yang, H. Wang, R. Marcus, R. Addanki, M. Khani, S. He, V. Nathan, F. Cangialosi, S. Venkatakrishnan, W.-H. Weng, S. Han, T. Kraska, M. Alizadeh
    NeurIPS, 2019
    [Paper] [Code] [Poster] [Slides]
    ICML Workshop Best Paper Award

  • Placeto: Efficient Progressive Device Placement Optimization
  • R. Addanki, S. Venkatakrishnan, S. Gupta, H. Mao, M. Alizadeh
    NeurIPS, 2019

  • Towards Safe Online Reinforcement Learning in Computer Systems
  • H. Mao, M. Schwarzkopf, H. He, M. Alizadeh
    NeurIPS Machine Learning for Systems Workshop, 2019
    [Paper] [Poster]

  • Learning Caching Policies with Subsampling
  • H. Wang, H. He, M. Alizadeh, H. Mao
    NeurIPS Machine Learning for Systems Workshop, 2019
    [Paper] [Poster]

  • Learning Scheduling Algorithms for Data Processing Clusters
  • H. Mao, M. Schwarzkopf, S. Venkatakrishnan, Z. Meng, M. Alizadeh
    SIGCOMM 2019
    [Paper] [Website] [Code] [Slides] [Talk]

  • Real-world Video Adaptation with Reinforcement Learning
  • H. Mao, S. Chen, D. Dimmery, S. Singh, D. Blaisdell, Y. Tian, M. Alizadeh, E. Bakshy
    ICML workshop, 2019
    [Paper] [Poster]

  • Variance Reduction for Reinforcement Learning in Input-Driven Environments
  • H. Mao, S. Venkatakrishnan, M. Schwarzkopf, M. Alizadeh
    ICLR 2019
    [Paper] [Website] [Code] [Demo] [Poster]

  • Neo: A Learned Query Optimizer
  • R. Marcus, P. Negi, H. Mao, C. Zhang, M. Alizadeh, T. Kraska, O. Papaemmanouil, N. Tatbul
    VLDB 2019

  • SageDB: A Learned Database System
  • T. Kraska, M. Alizadeh, A. Beutel, E. Chi, J. Ding, A. Kristo, G. Leclerc, S. Madden, H. Mao, V. Nathan
    CIDR 2019

  • Neural Adaptive Video Streaming with Pensieve
  • H. Mao, R. Netravali, M. Alizadeh
    ACM SIGCOMM 2017
    [Paper] [Website] [Code] [Slides] [Talk] [Video]

  • Resource Management with Deep Reinforcement Learning
  • H. Mao, M. Alizadeh, I. Menache, S. Kandula
    ACM HotNets 2016
    [Paper] [Code] [Slides] [Poster]

  • NUMFabric: Fast and Flexible Bandwidth Allocation in Datacenters
  • K. Nagaraj, D. Bharadia, H. Mao, S. Chinchali, M. Alizadeh, S. Katti
    ACM SIGCOMM 2016

  • RF-Capture: Capturing the Human Figure Through a Wall
  • F. Adib, C.-Y. Hsu, H. Mao, D. Katabi, F. Durand
    ACM SIGGRAPH Asia 2015
    [Paper] [Website] [Video]

  • Smart Homes that Monitor Breathing and Heart Rate
  • F. Adib, H. Mao, Z. Kabelac, D. Katabi, R. Miller
    ACM CHI 2015
    [Paper] [Website] [Video] [Slides]
    Honorable Mention Award

  • Demo: Real-time Breath Monitoring Using Wireless Signals
  • F. Adib, Z. Kabelac, H. Mao, D. Katabi, R. Miller
    ACM MobiCom 2014
    [Paper] [Website] [Video]
    Best Demo Award

  • Fluctuation-response Model Unifies Dynamical Behaviors
    in Neural Fields
  • A. Fung, M. Wong, H. Mao, S. 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.