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.
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
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 Academic Scholarship (100%) 2008-2013
Interned at Microsoft Research Redmond Lab
Started grad school at CMU