Zhou Fang

Google, Mountain View Dept. Computer Science and Engineering, UCSD zhoufang [at] cs.ucsd.edu

About

I work on Data Analytics Platforms at Google Cloud. I received my PhD from the Dept. Computer Science & Engineering, University of California at San Diego in 2018. I was working in the Microelectronics Embedded Systems Lab, supervised by Prof. Rajesh Gupta.

I received MS degree in Electrical Engineering and Information Technology from ETH Zurich, and BS degree in Microelectronics from Shanghai Jiao Tong University.

Internships

• Google, 2017 summer. Big Data Infrastructure Cloud Dataflow: accelerating Apache Beam Python by C++/Python co-programming.

• Google, 2016 summer. Kubernetes Container-based Cluster Management: implemented Node Performance Dashboard to monitor the performance of Kubernetes nodes (dashboard)(blog)(code).

Research Interests

I am interested in cloud and mobile computing systems for vision and AI applications.

Publications

• Z. Fang, D. Hong, R. Gupta. Serving Deep Neural Networks at the Cloud Edge for Vision Applications on Mobile Platforms. ACM Multimedia Systems Conference (MMSys), 2019.

• Z. Fang, J. Lin, M. Srivastava, R. Gupta. Multi-Tenant Mobile Offloading Systems for Real-Time Computer Vision Applications. International Conference on Distributed Computing and Networking (ICDCN), 2019. (Invited)

• Z. Fang, M. Luo, T. Yu, O. J. Mengshoel, M. B. Srivastava and R. K. Gupta. Mitigating Multi-Tenant Interference in Continuous Mobile Offloading. International Conference on Cloud Computing (CLOUD), 2018.

• Z. Fang, T. Yu, O. J. Mengshoel and R. K. Gupta. QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks. ACM International Conference on Information and Knowledge Management (CIKM), 2017.

• Z. Fang, M. Luo, T. Yu, O. J. Mengshoel, M. B. Srivastava and R. K. Gupta. Mitigating Multi-Tenant Interference on Mobile Offloading Servers. ACM Symposium on Cloud Computing (SoCC), 2017. (Poster Abstract)

• Z. Fang, M. Luo, M. Srivastava and R. Gupta. Exploiting Synchrony in Replicated State Machines. IEEE International Conference on Cloud Computing (CLOUD), 2017.

• Z. Fang, M. Luo, F. M. Anwar, H. Zhuang and R. Gupta. Go-RealTime: A Lightweight Framework for Multiprocessor Real-Time System in User Space. IEEE International Workshop on Real-Time Computing and Distributed systems in Emerging Applications, 2016.

• M. Schaffner, P. A. Hager, L. Cavigelli, Z. Fang, P. Greisen, F. K. Grkaynak, A. Smolic, H. Kaeslin, L. Benini. “A Complete Real-Time Feature Extraction and Matching System Based on Semantic Kernels Binarized”. VLSI-SoC (Selected Papers) 2013: 144-167.

Previous Research

M.S. research at Integrated Systems Lab, ETH Zurich:

• TimeFrequency Synchronization for TD-HSPA/ (talk, Apr. 2014)

• Real Time Feature Matching on an FPGA (talk, June 2013)

• VLSI Design and Implementation for 3D Turbo Codes (talk, Jan. 2013)

Scholarships

• National Scholarship, Ministry of Education of China, 2011

• Dr. Irving T. Ho Memorial Scholarship, Pen-Tung Sah Education and Scientific Research Foundation, 2009

• Academic Excellence Scholarship, Shanghai Jiao Tong University, 2009, 2010

Awards

• Excellent Undergraduate Dissertation Award, School of Microelectronics, Shanghai Jiao Tong University, 2011, 2012

• Meritorious Winner, The Mathematical Contest in Modeling, COMAP, USA, 2011

• Merit Student Honor, Shanghai Jiao Tong University, 2009

• First Prize in Hubei, 25th National Physics Contest for High School Students, 2008