Publications

News

	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)
	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
	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] Diana \| Dioscuri \| IGSO Constellation
	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
	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] 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
	Contributed "SmartEdge - Design of Dynamic and Secure Swarm Networking", 2024 ..., Changgang Zheng, ... Noa Zilberman, et al. (sort in alphabetical order) D4.1 Design of Dynamic & Secure Swarm Networking, EU Semantic Low-code Programming Tools for Edge Intelligence (SmartEdge) horizon project, GA 101092908 PDF \| Link \| X (Twitter)
	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 "QCMP: Load Balancing via In-network Reinforcement Learning", 2023 Changgang Zheng, Benjamin Rienecker, and Noa Zilberman Proceedings of the ACM SIGCOMM Workshop on Future of Internet Routing & Addressing, 2023 Paper \| BibTex \| Code
	Visiting at the Yale University, 2022 I joined Graduate School of Arts and Sciences & Yale Institute for Network Science (YINS), Yale University, as a full-time visiting Ph.D. student supervised by Prof. Leandros Tassiulas.
	Jesus College Graduate Scholar Award by the Governing Body of Jesus College, University of Oxford, 2022 Up to ten graduate students are awarded. Graduate Scholars are allowed to dine at High Table in Scholar's gown.
	arXiv "Automating In-Network Machine Learning", 2022 Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, and Noa Zilberman arXiv, 2022 Paper \| Video \| BibTex \| Code Using programmable network devices to aid in-network machine learning has been the focus of significant research. This work presents Planter, an open-source, modular framework for mapping trained machine learning models to programmable devices. Planter supports a wide range of machine learning models, multiple targets and can be easily extended.
	arXiv "IIsy: Practical In-Network Classification", 2022 Changgang Zheng, Zhaoqi Xiong, Thanh T Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, and Noa Zilberman arXiv, 2022 Paper \| BibTex This work presents IIsy, which implements machine learning classification models in a hybrid fashion using off-the-shelf network devices. Besides a range of traditional and ensemble machine learning models, IIsy also supports hybrid classification, achieving near-optimal classification results, while significantly reducing latency and load on the servers.
	Published "Planter: Seeding Trees Within Switches", 2021 Changgang Zheng, Noa Zilberman Proceedings of the SIGCOMM'21 Poster and Demo Sessions Paper \| Short Video \| Slides \| BibTex \| Poster \| Code Data classification within the network significantly benefits reaction time, servers offload and power efficiency. This work designs an algorithm for efficient mapping of ensemble models, such as XGBoost and Random Forest, to programmable switches. The proposed method overlaps trees within match-action tables, achieves high accuracy and low resource overhead.
	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
	Awarded National Scholarship, 2019 Award by Ministry of Education of the People’s Republic of China As the highest honour, the National Scholarship program is a program funded by the central government to reward outstanding undergraduate students. National Scholarships has the most rigorous and standardized selection process. Approximately 27 million students compete annually for 60,000 national scholarships, with only 0.2% winning.
	Awarded National Scholarship, 2018 Award by Ministry of Education of the People’s Republic of China As the highest honour, the National Scholarship program is a program funded by the central government to reward outstanding undergraduate students. National Scholarships has the most rigorous and standardized selection process. Approximately 27 million students compete annually for 60,000 national scholarships, with only 0.2% winning.
	Joined the Data Mining Lab, 2017 I joined Data Mining Lab in the School of Computer Science and Engineering, University of Electronic Science and Technology of China, as a research assistant supervised by Prof. Junming Shao. My research interest was mainly focused on multi-task learning and medical image processing.