Zhang Liang

Ph.D. Student

Shanghai Jiao Tong University

Biography

I am a Ph.D. candidate in Emerging Parallel Computing Center (EPCC), the Department of Computer Science and Engineering, Shanghai Jiao Tong University. My supervisors are Prof. Minyi Guo and Prof. Hongzi Zhu. My research interests include resource scaling and task scheduling in stream computing and edge computing scenarios.

Interests

Stream Computing
Edge Computing
Resource management
Task scheduling

Education

PhD candidate in Computer Science and Technology, 2018 - Present

Shanghai Jiao Tong University, Shanghai, China
BEng in Computer Science and Technology, 2014 - 2018

Northeastern University, Liaoning, China

Experience

Research Assistant

The Internet and Mobile Computing Laboratory (IMCL) in the Hong Kong Polytechnic University

Sep 2021 – Nov 2022 Hong Kong

PhD student

Shanghai Jiao Tong University

Sep 2018 – Present Shanghai

Selected for Zhiyuan Honorary Doctoral Program

Bachelor of Engineering in Computer Science and Technology

Northeastern University

Oct 2014 – Jun 2018 Liaoning

Awards include:

National Scholarship for Undergraduate Students (Nov 2015 and Nov 2017)
Outstanding Graduates of Liaoning Province (Jan 2018)
Excellent Students of Northeastern University (Dec 2015 and Dec 2016)
The First-class Scholarship of Northeastern University (Oct 2015 and Oct 2016)
2016 MCM/ICM Honorable Mention (Jan 2016)

Featured Publications

Zhang Liang, Hongzi Zhu, Yunzhe Li, Jiangang Shen, Minyi Guo (2024). The Blind and the Elephant: A Preference-aware Edge VideoAnalytics Scheduler for Maximizing System Benefit. ICPP 2024.

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Zhang Liang, Hongzi Zhu, Fei Wen, Yunzhe Li, Mingjin Zhang, Jiannong Cao, Minyi Guo (2024). Novas: Tackling Online Dynamic Video Analytics with Service Adaptation at Mobile Edge Servers. TC 2024.

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Zhang Liang, Wenli Zheng, Kuangyu Zheng, Hongzi Zhu, Chao Li, Minyi Guo (2024). Bayesian-Driven Automated Scaling in Stream Computing with Multiple QoS Targets. TPDS 2024.

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Zhang Liang, Zheng Wenli, Li Chao, Shen Yao, Guo Minyi (2021). AuTraScale: An Automated and Transfer Learning Solution for Streaming System Auto-Scaling. IPDPS 2021.

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All Publications

Yunzhe Li, Hongzi Zhu, Zhuohong Deng, Yunlong Cheng, Zhang Liang, Shan Chang, Minyi Guo (2024). Anole: Adapting Diverse Compressed Models for Cross-scene Prediction on Mobile Devices. ICDCS 2024.

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