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Mingran Yang

Ph.D. Student
MIT CSAIL
mingrany (at) mit (dot) edu


About Me

I’m a 5th-year PhD candidate in the EECS Department at MIT, advised by Prof. Manya Ghobadi. My research focuses on: 1) building scalable infrastructure and systems for AI/ML; 2) adapting LLMs for systems design. I am a recipient of Microsoft Research PhD Fellowship and MIT Presidential Fellowship

Prior to joining MIT, I received my bachelor’s degree from Fudan University and master’s degree from Carnegie Mellon University. During my master, I was advised by Prof. Vyas Sekar.

I am actively exploring full-time industry opportunities.

Selected Publications

  1. HotNets '23
    On-Fiber Photonic Computing
    Mingran Yang*, Zhizhen Zhong*, and Manya Ghobadi
    ACM Workshop on Hot Topics in Networks (HotNets), 2023.
    PDF

  2. SIGCOMM '23
    Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference
    Zhizhen Zhong, Mingran Yang, Jay Lang, Christian Williams, Liam Kronman, Alexander Sludds, Homa Esfahanizadeh, Dirk Englund, and Manya Ghobadi
    ACM Special Interest Group on Data Communication (SIGCOMM), 2023.
    PDF Code
    News article: System combines light and electrons to unlock faster, greener computing

  3. SIGCOMM '22
    Using Trio – Juniper Networks’ Programmable Chipset – for Emerging In-Network Applications
    Mingran Yang, Alex Baban, Valery Kugel, Jeff Libby, Scott Mackie, Swamy Sadashivaiah Renu Kananda, Chang-Hong Wu, and Manya Ghobadi
    ACM Special Interest Group on Data Communication (SIGCOMM), 2022.
    PDF Talk Slides
    News article: Building a Programmable Platform for Tomorrow’s Applications

  4. MobiCom '20
    Joltik: Enabling Energy-Efficient ''Future-Proof'' Analytics on Low-Power Wide-Area Networks
    Mingran Yang, Junbo Zhang, Akshay Gadre, Zaoxing Liu, Swarun Kumar, and Vyas Sekar
    ACM International Conference on Mobile Computing and Networking (MobiCom), 2020.
    PDF Talk

  5. HotNets '20
    Challenging the Stateless Quo of Programmable Switches
    Nadeen Gebara, Alberto Lerner, Mingran Yang, Minlan Yu, Paolo Costa, and Manya Ghobadi
    ACM Workshop on Hot Topics in Networks (HotNets), 2020.
    PDF

Honors and Awards


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