Kuo Zhang's Homepage @Rutgers University, New Brunswick

		Kuo Zhang PhD Candidate Department of Computer Sicence Rutgers University, New Brunswick Piscataway, NJ, 08854, USA Email: kz181 AT scarletmailrutgersedu (replace * with .)

[Brief Bio] [Research] [Skills] [Education] [Work Experience] [Publications] [Teaching] [Links] [Personals]

Brief Bio

I am currently a PhD candidate supervised by Prof. Thu D. Nguyen in the Department of Computer Sicence, Rutgers University, New Brunswick. Before I joined Rutgers University, I was admitted as a PhD student, supervised by Professor Murat Demirbas in the Department of Computer Sicence and Engineering of University at Buffalo, SUNY. I transferred to Rutgers University in 2017.

Research

My research interest includes resource management, improving energy efficiency and job scheduling in data centers, machine learning (ML) training job scheduling in GPU clusters. I am particularly interested in applying ML techniques (e.g., deep reinforcement learning) to cluster resource management and job scheduling problems. Besides, my work also involves distributed systems and cloud/edge computing.

Skills

For software development, I primarily use C++ and Python. I can also program with Java, Scala and Go if needed. I know basics of operating system, computer networks, computer architecture and accelerators like GPU.

Education

PhD student in Computer Science, Rutgers University, New Brunswick, NJ, USA, Started in Fall 2017
M.S. Computer Science, University at Buffalo, The State University of New York, NY, USA, 2017
M.E. Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China, 2014
B.E. Electronic Engineering, Shandong University, Jinan, China, 2011

Work Experience

Software Engineer Intern, Meta, Menlo Park, CA, USA, May 2022 - Aug 2022
Research Intern, ByteDance, Seattle, WA, USA, May 2021 - Aug 2021
Summer Instructor, Department of Computer Science, Rutgers University, NJ, USA, Summer 2019, Course Link
Software Engineer, Baidu, Bejing, China, Mar 2014 - Oct 2014
Research Intern, Samsung Electronics, Beijing, China, May 2013 - Oct 2013

Publications

Kuo Zhang, Peijian Wang, Ning Gu, Thu D. Nguyen. GreenDRL: Managing Green Datacenters Using Deep Reinforcement Learning. [PDF] The 13th ACM Symposim on Cloud Computing (SoCC), 2022
Kuo Zhang, Salem Alqahtani, Murat Demirbas. A Comparison of Distributed Machine Learning Platforms. [PDF] The 26th International Conference on Computer Communication and Networks (ICCCN), 2017.
Hongyan Cui, Kuo Zhang, Yajun Fang, Stanislav Sobolevsky, Carlo Ratti, Berthold Horn. A clustering validity index based on pairing frequency. [PDF] IEEE Access, 2017.
Hongyan Cui, Yuan Yao, Kuo Zhang, Fangfang Sun, and Yunjie Liu. Network traffic prediction based on Hadoop. [PDF] In Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on, pp. 29-33. IEEE, 2014.
Hongyan Cui, Kuo Zhang, Xu Huang, and Yunjie Liu. A cluster validity index based on frequent pattern. [PDF] In Wireless Personal Multimedia Communications (WPMC), 2013 16th International Symposium on, pp. 1-5. IEEE, 2013.

Links

Distributed big data processing and ML platforms that I have been working on:

[Apache Spark] [Tensorflow] [Pytorch] [MXNet] [Bosen/PMLS]

Cloud resource management system that I have been working on:

and Hadoop Yarn

My research blog:

Linkedin:

GitHub:

Personals

I love playing soccer. I usually play as a midfielder, not professional though :). I like how these players make the passing of a ball so *elegant* and *creative*:A Masterclass in Weight of Pass. Pursuing a PhD is somehow like passing a ball, you always need *creative* ideas and *elegant* solutions.
I like the following philosophy, especially in system design and software development: