I am a third-year PhD student at the Computer Science Department of Carnegie Mellon University. My advisor is Professor Mahadev Satyanarayanan (Satya).
My research addresses challenges in systems of machine learning, by machine learning, and for machine learning. I recently focus on edge computing and computer vision in particular. Projects I work on include Elijah and Diamond.
Before joining CMU, I researched big data systems with Professor Eric Lo (now at CUHK) at the Hong Kong Polytechnic University.
I was an early contributor to Peloton, a self-driving database being developed at CMU.
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
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
EVA: An Efficient System for Exploratory Video Analysis (poster).
Z. Feng, J. Wang, J. Harkes, P. Pillai, M. Satyanarayanan.
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 Undergraduate Academic Scholarship 2008-2013
Interned at Microsoft Research Redmond Lab
Started grad school at CMU