About

I am a fourth-year PhD student at the Computer Science Department of Carnegie Mellon University.
My advisor is Professor Mahadev Satyanarayanan (Satya).
I recently presented my thesis proposal (slides).

I am interested in designing and building systems of machine learning, by machine learning, and for machine learning. Currently, I focus on edge computing and computer vision. Projects I work on include Elijah (cloudlet-based edge computing) and Eureka (human-efficient discovery of training data). Eureka is part of the Intel Science and Technology Center for Visual Cloud Systems.

Before joining CMU, I researched big data systems with Professor Eric Lo (now at CUHK). I received my M.Phil. and B.S. with First Class Honors from the Hong Kong Polytechnic University.

I contributed to Peloton and submitted bug reports to MonetDB.

My colleague Junjue Wang and I maintain a reading blog on wearable cognitive assistance, video analytics systems, and computer vision.

CV

Selected Publications

See (almost) full list at Google Scholar.

Edge-based Discovery of Training Data for Machine Learning.
Z. Feng, S. George, J. Harkes, P. Pillai, R. Klatzky, M. Satyanarayanan.
ACM/IEEE Symposium on Edge Computing (SEC) 2018
paper | slides | Intel’s blog
magazine version | video demo | AWS tryout

Bandwidth-efficient Live Video Analytics for Drones via Edge Computing.
J. Wang, Z. Feng, Z. Chen, S. George, M. Bala, P. Pillai, S. Yang, M. Satyanarayanan
SEC 2018
paper

EVA: An Efficient System for Exploratory Video Analysis (poster).
Z. Feng, J. Wang, J. Harkes, P. Pillai, M. Satyanarayanan.
SysML 2018.
abstract

ByteSlice: Pushing the Envelop of Main Memory Data Processing with a New Storage Layout.
Z. Feng, E. Lo, B. Kao, W. Xu.
ACM SIG on Management of Data (SIGMOD) 2015.
paper | slides | code

Accelerating Aggregation using Intra-Cycle Parallelism.
Z. Feng, E. Lo
IEEE International Conference on Data Engineering (ICDE) 2015.
paper | slides

Major Honors and Awards

ACM/IEEE SEC Student Travel Grant, 2018

Siemens FutureMakers Challenge @ CMU, First Place, 2018

Croucher Foundation Doctoral Scholarship 2017-2019

ACM SIGMOD Student Travel Grant, 2015

IEEE ICDE Student Travel Grant, 2015

Hong Kong Polytechnic University Academic Scholarship (100%) 2008-2013

Timeline

  • Summer 2018

    Interned at Microsoft Research Redmond Lab

  • September 2016

    Started grad school at CMU

Contact

zf at cs dot cmu dot edu