Zongpu Zhang (张宗璞)
Zongpu Zhang (张宗璞)
Visiting Scholar
School of Electrical and Computer Engineering
Purdue University
Contact: zhan5016 [at] purdue [dot] edu / zhangz-z-p [at] sjtu [dot] edu [dot] cn
Links: Google Scholar / Github / Linkedin / ORCID / IEEE Xplore
He is working as a visiting scholar at Purdue University, advised by Prof. Y. Charlie Hu. He received his Ph.D. degree in Computer Science from Shanghai Jiao Tong University in 2025, advised by Prof. Haibing Guan (vice president of SJTU) and Prof. Jian Li. His general research interest is in cloud systems, mobile systems, and AI systems.
More recently, his research has focused on (1) building efficient, scalable, and manageable I/O virtualization systems for public cloud. (2) Building novel cloud systems for AI workloads, with a focus on serverless and in-network offloading. (3) Optimizing mobile systems for on-device LLM serving, with a focus on energy-efficiency.
Previously, he received his B.S. degree in Computer Science and Technology (IEEE honored class) also from Shanghai Jiao Tong University in 2019, advised by Prof. Haibing Guan.
Mar. 2025: He is on the job market looking for PostDoc opportunities.
Please refer to my Google Scholar for an updated list of publications.
[preprint'25] Dissecting the Impact of Mobile DVFS Governors on LLM Inference Performance and Energy Efficiency
Zongpu Zhang*, Pranab Dash*, Y. Charlie Hu, Qiang Xu, Jian Li, Haibing Guan (* equal contribution)
[EuroSys'24] HD-IOV: SW-HW Co-designed I/O Virtualization with Scalability and Flexibility for Hyper-Density Cloud
Zongpu Zhang, Jiangtao Chen, Banghao Ying, Yahui Cao, Lingyu Liu, Jian Li, Xin Zeng, Junyuan Wang, Weigang Li, Haibing Guan
[IEEE TC'24] Un-IOV: Achieving Bare-Metal Level I/O Virtualization Performance for Cloud Usage With Migratability, Scalability and Transparency
Zongpu Zhang, Chenbo Xia, Cunming Liang, Jian Li, Chen Yu, Tiwei Bie, Roberts Martin, Daly Dan, Xiao Wang, Yong Liu, Haibing Guan
[INFOCOM'24] vCrypto: a Unified Para-Virtualization Framework for Heterogeneous Cryptographic Resources
Shuo Shi, Chao Zhang, Zongpu Zhang, Hubin Zhang, Xin Zeng, Weigang Li, Junyuan Wang, Xiantao Zhang, Yibin Shen, Jian Li, Haibing Guan
[IEEE TPDS'25] SMore: Enhancing GPU Utilization in Deep Learning Clusters by Serverless-based Co-location Scheduling
Junhan Liu, Zinuo Cai, Yumou Liu, Hao Li, Zongpu Zhang, Ruhui Ma, Rajkumar Buyya
[ACM TACO'25] Ephemera: Accelerating I/O-Intensive Serverless Workloads with a Harvested In-memory File System
Lingxiao Jin, Zinuo Cai, Haoxin Wang, Zongpu Zhang, Ruhui Ma, Haibing Guan, Yuan Liu, Rajkumar Buyya
[IEEE TDSC'21] QKPT: Securing Your Private Keys in Cloud With Performance, Scalability and Transparency
Zongpu Zhang, Hubin Zhang, Junyuan Wang, Xiaokang Hu, Jian Li, Wenqian Yu, Ping Yu, Weigang Li, Bo Cui, Guodong Zhu, Kapil Sood, Brian Will, Haibing Guan
> I used to work on following topics but not anymore: Video object tracking and segmentation [MM'18, IEEE TBD'18, MM'19, ICCV'19].
Journal Reviewer
Computer Networks (International Journal of Computer and Telecommunications Networking)
Feb 5, 2024, "I/O Virtualization for In-network Accelerators in Cloud -- Security, Efficiency, and Scalability"
Location: DSNL, Purdue University
Jan 29, 2024, "Scalable I/O Virtualization for In-network Accelerators -- An example with Intel QAT accelerators".
Location: VT Security & Intelligence Lab, Virginia Tech
Academic Awards
I don't have one, but I'm working for it.
Student Awards
2019, Zhiyuan Honored Ph.D. Program, SJTU
2019, Excellent Bachelor’s Thesis Award (Top 1%), SJTU, Media (in zh-CN)
2019, Zhang Xu Scholarship, SJTU
2019, Yang Yuanqing Scholarship, SJTU, Media (in zh-CN)
2018, SenseTime Scholarship, Sensetime Inc.
2016,17,18, Academic Excellence Scholarship (three times), SJTU
Misc
2022, Winner (1st place) of the 2022 Fall NVIDIA DPU Hackathon in China, NVIDIA, Media (in zh-CN)
Software Development Intern, Intel Asia-Pacific R&D Ltd (NPG group)
March, 2020 - March, 2023, Shanghai, China
Advisor: Junyuan Wang and Xin Zeng
I participated in developing Intel QAT driver and QAT engine for Intel KPT and Intel S-IOV technologies.
Research Intern, Sensetime Inc (ADAS team)
Summer 2019, Shanghai, China
Advisor: Guangliang Cheng
I explored Neural Architecture Search (NAS) algorithms for visual recognition in autonomous driving.
Deep Learning Intern, Intel Asia-Pacific R&D Ltd (DCG group)