Changgang Zheng 郑长刚

Researcher | DPhil, University of Oxford

Email: changgang [dot] zheng [at] eng [dot] oxfordalumni [dot] org
Or: changgangzheng [at] qq [dot] com

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In 2025, I conducted research at Alibaba Cloud. In 2024, I worked as a Postdoctoral Researcher in the Computing Infrastructure Group at the University of Oxford, where I also completed my DPhil in Engineering Science under the supervision of Prof. Noa Zilberman; the degree was formally conferred in 2025. I was a member of Jesus College during my time at Oxford. During my DPhil, I spent the summer of 2022 as a visiting PhD student at Yale University under the supervision of Prof. Leandros Tassiulas. I received a first-class honours BEng in EEE from the University of Glasgow and a BEng in Communication Engineering from the UESTC in 2020. From 2017 to 2020, I was a research assistant in the Data Mining Lab at UESTC, supervised by Prof. Junming Shao.

My research interests include data center networks, space networks, and AI computing networks. I am particularly interested in leveraging in-network computing and machine learning techniques to design efficient and scalable network systems and address fundamental challenges in networking.

Selected News
ParaFlowO and Strawman are accepted by APNet 2026.
The 10th Asia-Pacific Workshop on Networking (APNet 2026)
[Acceptance Rate: 39/147=26.5%]
(Papers to be released)
Diana, Dioscuri, and an IGSO constellation architecture are accepted by IAC 2026.
The 77th International Astronautical Congress (IAC 2026)
[Selected from 8,300+ submissions from 108 countries]
(Papers to be released)
CStar Gateway and Bifrost are accepted by NSDI 2026.
The 23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI '26)
[Acceptance Rate: 100/452=22.1%] [CCF A]
CStar Gateway | Bifrost
Presented "MUTA: Enabling Multi-Task Neural Network Inference in Programmable Data-Planes" on the 22nd of May, 2025.
Kaiyi Zhang, Changgang Zheng, Nancy Samaan, Ahmed Karmouch, and Noa Zilberman
The 26th IEEE International Conference on High Performance Switching and Routing (HPSR 2025) [CCF B] [Best Paper Award]
Paper | Link | BibTex
Towards In-Network Machine Learning on Programmable Network Devices
Changgang Zheng
DPhil Thesis, 2024
PDF | Link | BibTex | Code
Accepted "Planter: Rapid Prototyping of In-Network Machine Learning Inference", 2024
Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Liam Perreault, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, and Noa Zilberman
ACM SIGCOMM Computer Communication Review (CCR), 2024 [Acceptance rates comparable to ACM SIGCOMM conference, i.e., under 15%] [Best of CCR]
PDF | arXiv (2022) | BibTex | Code | Doc
Accepted "IIsy: Hybrid In-Network Classification Using Programmable Switches", 2024
Changgang Zheng, Zhaoqi Xiong, Thanh T Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, and Noa Zilberman
IEEE/ACM Transactions on Networking, 2024 [CCF A]
PDF | arXiv (2022) | BibTex | Code
Accepted "In-Network Machine Learning Using Programmable Network Devices: A Survey" on the 7th of December, 2023.
Changgang Zheng, Xinpeng Hong, Damu Ding, Shay Vargaftik, Yaniv Ben-Itzhak, and Noa Zilberman
IEEE Communications Surveys and Tutorials [Impact Factor=35.6]
Paper | Link | BibTex
Accepted "DINC: Toward Distributed In-Network Computing"
Changgang Zheng, Haoyue Tang, Mingyuan Zang, Xinpeng Hong, Aosong Feng, Leandros Tassiulas, and Noa Zilberman
ACM CoNEXT'23 & Proceedings of the ACM on Networking, 2023
[Acceptance Rate: 24/129=18.6%] Paper | BibTex | Code
Accepted "Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning"
Juan Marcelo Parra-Ullauri, Antonio García-Domínguez, Nelly Bencomo, Changgang Zheng, Chen Zhen, Juan Boubeta-Puig, Guadalupe Ortiz, Shufan Yang
Software and Systems Modeling, 2021 [2022 SoSyM-First Paper Award]
Paper | BibTex