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Qingqing Cao

PhD student, Developer

Stony Brook, New York

CV


Updates

  • 2018-05 Starting Intership at Microsoft Research Redmond

  • 2018-03 Serving on MobiSys 2018 PhD Forum

  • 2017-10 Attending MobiCom 2017

  • 2017-07 Starting Internship at Bell-Labs Cambridge

  • 2017-06 UIWear accepted at MobiCom 2017

  • 2017-05 Awarded MobiSys 2017 Student Travel Grant

  • 2017-05 MobiRNN accepted at EMDL 2017

Bio

Bio

I’m Qingqing Cao, a Computer Science PhD candidate at Stony Brook University. My research interests are mobile systems and edge computing, with a current focus on mobile deep learning systems and applications. I’m a member of NetSys Lab directed by Prof. Aruna Balasubramanian. I also work closely with Prof. Niranjan Balasubramanian.

Education

Education

  • Ph.D. candidate in Computer Science,  Stony Brook University

    Aug 2015 - present

  • B.Eng. in Computer Science and Technology,  Wuhan University

    Sept 2011 - Jun 2015

Experience

Experience

  • Research Assistant,  Stony Brook University

    June, 2016 - Present

    Projects: PrIA, UIWear

  • Research Intern,  Bell Labs Cambridge

    July, 2017 - Sept, 2017

    Worked with Nic Lane on mobile deep learning projects

  • Teaching Assistant,  Stony Brook University

    Aug, 2015 - May, 2016

    TA in undergrad computer networks course (CSE 310)

Publications

Publications

MobiCom '17Jian Xu (co-primary), Qingqing Cao (co-primary), Aditya Prakash, Aruna Balasubramanian, and Don Porter. UIWear: Easily Adapting User Interfaces for Wearable Devices, the 23rd Annual International Conference on Mobile Computing and Networking. [pdf], [slides], [code]

MobiCom '17 DemoJian Xu (co-primary), Qingqing Cao (co-primary), Aditya Prakash, Aruna Balasubramanian, and Don Porter. Demo: UIWear: Easily Adapting User Interfaces for Wearable Devices, the 23rd Annual International Conference on Mobile Computing and Networking. [pdf], [poster], [video]

EMDL '17Qingqing Cao, Niranjan Balasubramanian, Aruna Balasubramanian. MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU, 1st International Workshop on Embedded and Mobile Deep Learning. [pdf], [slides], [code]

Awards

Awards

MobiSys 2017 Student Travel Grant, 2017

Special CS Department Chair Fellowship, 2015

Service

Service

MobiSys PhD Forum TPC, 2018

IEEE Transactions on Mobile Computing (TMC) Reviewer, 2018

Skills

Skills

Android

Java

C

Python

Interests

Interests

writing

tweaking

travelling