I was a researcher at Alibaba Cloud and a Postdoctoral Researcher at University of Oxford.
I obtained my DPhil in Engineering Science from Oxford, advised by Prof. Noa Zilberman.
I had the pleasure of working with Prof. Leandros Tassiulas during a research visit at Yale University.
I received dual BEng degrees from the University of Glasgow (first-class honours) and UESTC.
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.
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MCP Gateway was accepted to ATC 2026.
The 2026 ACM SIGOPS Annual Technical Conference (ATC)
[Acceptance Rate: 135/973=13.9%] [CCF A]
(Paper to be released)
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ParaFlowO and Strawman were accepted to APNet 2026.
The 10th Asia-Pacific Workshop on Networking (APNet 2026)
[Acceptance Rate: 39/147=26.5%]
ParaFlowO | Strawman | MCP Gateway Poster
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Diana, Dioscuri, and an IGSO constellation architecture were accepted to IAC 2026.
The 77th International Astronautical Congress (IAC 2026)
[Selected from 8,300+ submissions from 108 countries]
(Papers to be released)
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CStar Gateway and Bifrost were accepted to 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
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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]
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Towards In-Network Machine Learning on Programmable Network Devices
Changgang Zheng
DPhil Thesis, 2024
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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]
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arXiv (2022) |
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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]
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arXiv (2022) |
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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]
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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%]
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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]
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