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, AI computing networks, and space 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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"HyDra: Demystifying and Taming Dynamic Context Parallelism at Production Scale",
ACM SIGPLAN PPoPP 2027
[Preprint]
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"Scaling LLM Agent Tool Access: The MCP Gateway",
ACM SIGOPS ATC 2026
[Preprint]
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"CStar Gateway: Augmenting Public Cloud Infrastructure for Heterogeneous Network Function Virtualization",
USENIX NSDI 2026 [pdf]
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"Bifrost: Alibaba's Next-Generation VPC Network with High-Performance Multipath Reliable Transport",
USENIX NSDI 2026 [pdf]
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"IIsy: Hybrid In-Network Classification Using Programmable Switches",
IEEE/ACM TON 2024 [pdf]
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"Planter: Rapid Prototyping of In-Network Machine Learning Inference",
ACM SIGCOMM CCR 2024 [Best of CCR] [pdf]
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"In-Network Machine Learning Using Programmable Network Devices: A Survey",
IEEE Communications Surveys and Tutorials 2024 [pdf]
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"DINC: Toward Distributed In-Network Computing",
ACM CoNEXT 2023 [pdf]
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HyDra was accepted to PPoPP 2027.
The 2027 ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP)
[Acceptance Rate: 69/398=17.3%] [CCF A]
Preprint |
(Paper to be released)
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Best Paper Award at the 5th International Summit on BDS Applications
Changgang Zheng, Mingxin Li, Zihao Fan, Haonan Li, Jianzhe Lei, Wenhao Yang, Yihan Zhu, Tian Pan, Bo Jiang, and Kanglian Zhao
The 5th International Summit on BeiDou Navigation Satellite System (BDS) Applications, 2026
Read more
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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]
Preprint |
(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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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) [CORE B] [Best Paper Award]
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Link |
BibTex
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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]
PDF |
arXiv (2022) |
BibTex |
Code |
Doc
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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]
PDF |
arXiv (2022) |
BibTex |
Code
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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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Link |
BibTex
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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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BibTex |
Code
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More ...
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