Zhuo Chen

PhD candidate
Computer Science Department
Carnegie Mellon University

Phone: +1 412 230 7066
Email: czxxdd at gmail dot com
Address: Carnegie Mellon University, GHC 9120
Pittsburgh, PA, 15213, USA


Zhuo Chen


I am a fourth year PhD student at Carnegie Mellon University, Computer Science Department. I received B.E. from Tsinghua University in 2008. During my college, I also worked as a research intern in the Wireless and Networking Group at Mircosoft Research Asia, working with Guobin (Jacky) Shen.

My main research interest lies in Distributed Systems, Mobile Computing, and the application of Computer Vision in such context. I am currently working on Cloudlet project with my advisor, Professor Mahadev Satyanarayanan (Satya). Specifically, I explore how the effortless video capture of smart glasses, such as Google Glass, can benefit people with the Cloudlet infrastructure.


  • Zhuo Chen, Lu Jiang, Wenlu Hu, Kiryong Ha, Brandon Amos, Padmanabhan Pillai, Alex Hauptmann, Mahadev Satyanarayanan. "Early Implementation Experience with Wearable Cognitive Assistance Applications".
    WearSys 2015. [PDF]
  • Mahadev Satyanarayanan, Zhuo Chen, Kiryong Ha, Wenlu Hu, Wolfgang Richter, and Padmanabhan Pillai. "Cloudlets: at the Leading Edge of Mobile-Cloud Convergence (invited paper)".
    MobiCASE 2014. [PDF]
  • Kiryong Ha, Zhuo Chen, Wenlu Hu, Wolfgang Richter, Padmanabhan Pillai, and Mahadev Satyanarayanan. "Towards Wearable Cognitive Assistance".
    MobiSys 2014. [PDF] [slides]
  • Zhuo Chen, Wenlu Hu, Kiryong Ha, et al, "QuiltView: a Crowd-Sourced Video Response System".
    HotMobile 2014 [PDF] [slides]
  • Pieter Simoens, Yu Xiao, Padmanabhan Pillai, Zhuo Chen, Kiryong Ha, Mahadev Satyanarayanan, "Scalable Crowd-Sourcing of Video from Mobile Devices".
    MobiSys 2013 [PDF]
  • Guobin Shen, Zhuo Chen, Peichao Zhang, Thomas Moscibroda, and Yongguang Zhang. "Walkie-Markie: Indoor Pathway Mapping Made Easy".
    NSDI 2013 [PDF]


  • Zhuo Chen, Wenlu Hu, Kiryong Ha, et al, "QuiltView: a Crowd-Sourced Video Response System".
    Demo at HotMobile 2014 [PDF] (Best Demo Award!)
  • Zhuo Chen, Yang Chen, Cong Ding, Beixing Deng, Xing Li. "Pomelo: Accurate and Decentralized Shortest-path Distance Prediction in Social Graphs".
    Poster at SIGCOMM 2011 [PDF] [Poster]


School of Computer Science Carnegie Mellon University Sept. 2012 - present
Graduate Research Advisor: Prof. Mahadev Satyanarayanan (Satya)
    Project Gabriel
    • We design Gabriel, an assistive system based on Google Glass devices for users in cognitive decline. It combines the first-person image capture and sensing capabilities of Glass with cloud processing to perform real-time scene interpretation. Current computer vision and signal processing modules are encapsulated into virtual machines (VMs) to achieve coarse-grain parallelism. We study how the use of Cloudlet can help us achieve crisp response, and how the system can gracefully degrade in the face of network failures and unavailability of distant Cloud resources.
    • We are also building a virtual instructor system leveraging the Gabriel architecture. When the user performs a specific task, such as cooking, assembling, or investigating, the smart glass provides instructions on what to do next, check the user's state based on computer vision techniques in real-time, and give the user appropriate feedback. The whole system acts like an instructor to teach the user a specific skill. We have built several proof-of-concept applications including Lego Assistant to help assemble simple Lego shapes, Drawing Assistant to improve freehand sketching, and Ping-pong Assistant to suggest better strategy to win. Video demos can be found at here .
    Project QuiltView
    • QuiltView leverages the ability of wearable devices such as Google Glass to provide near effortless capture of first-person view-point video. The extreme simplicity of video capture can be used to create a new near-real-time social network. In this network, users can pose brief queries to other users in a specific geographic area and receive prompt video responses. The richness of video content provides much detail and context to the person posing the query, while consuming little attention from those who respond. The QuiltView architecture incorporates result caching, geolocation and query similarity detection to shield users from being overwhelmed by a flood of queries.
    Project GigaSight
    • GigaSight is a scalable Internet system for continuous collection of crowd-sourced video from devices such as Google Glass. Our hybrid cloud architecture for this system is effectively a CDN in reverse. It decentralizes the cloud computing infrastructure using VM-based cloudlets. Based on time, location and content, privacy sensitive information is automatically removed from the video, which we refer to as denaturing. Users can perform index or content-based searches on the total catalog of denatured videos. Our experiments reveal the bottlenecks for such a system and provide insight on how parameters such as frame rate and resolution impact the system scalability.
Wireless and Networking Group Microsoft Research Asia Sept. 2011 - Mar. 2012
Research Intern Advisor: Dr. Guobin (Jacky) Shen
    Project Walkie-Markie
    • We build and experiment a crowdsourcing indoor mapping and localization system based on IMU sensors and WiFi infrastructure. Walkie-Markie is able to reconstruct internal pathway maps of buildings without any a-priori knowledge about the building, such as the floor plan or access point locations. We use the tipping point of WiFi signal strength as landmarks to fuse crowd-sourced user trajectories obtained from inertial sensors on users' mobile phones. The maximum discrepancy between the inferred pathway map and the real one is around three meters.
    • We analyze various features of human walking patterns, propose and verify new models for walking direction detection, step number counting and stride length estimation using mobile phone sensors.


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