Yong Feng’s Homepage
Hi, I’m Yong Feng. I obtained my Ph.D. degree in July 2024 under the supervision of Prof.Bin Liu in the Department of Computer Science and Technology, Tsinghua University. My current research interests are: AI training and inferencing, Switch/Router/NIC architectures, Data center network, IP compression and lookup, In-Network Computation.
Publications
Empower Programmable Pipeline for Advanced Stateful Packet Processing [link]
Network Architecture Stateful
Yong Feng, Zhikang Chen, Haoyu Song, Yinchao Zhang, Hanyi Zhou, Ruoyu Sun, Wenkuo Dong, Peng Lu, Shuxin Liu, Chuwen Zhang, Yang Xu, Bin Liu
USENIX NSDI 2024 (Tier-1 International Conference in Networking)
Enabling In-situ Programmability in Network Data Plane: From Architecture to Language [link]
Network Architecture Compile
Yong Feng, Zhikang Chen, Haoyu Song, Wenquan Xu, Jiahao Li, Zijian Zhang, Tong Yun, Bin Liu
USENIX NSDI 2022 (Tier-1 International Conference in Networking)
OptimusPrime: Unleash Dataplane Programmability through a Transformable Architecture [link]
AI Aggregation Architecture Compile
Zhikang Chen*, Yong Feng* (*co-first author), Shuxin Liu, Haoyu Song, Hanyi Zhou, Tong Yun, Wenquan Xu, Tian Pan, Bin Liu
ACM SIGCOMM 2024 (Tier-1 International Conference in Networking)
Enhancing Stateful Processing in Programmable Data Planes: Model and Improved Architecture [link]
Network Architecture Stateful
Yong Feng, Hanyi Zhou, Shuxin Liu, Zhikang Chen, Haoyu Song, Bin Liu
IEEE/ACM Transactions on Networking (ToN) — CCF A-class Journal
Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane [link]
AI Inference Architecture Compile
Yinchao Zhang, Su Yao, Yong Feng, Kang Chen, Tong Li, Zhuotao Liu, Yi Zhao, Lexuan Zhang, Xiangyu Gao, Feng Xiong, Qi Li, Ke Xu
ACM SIGCOMM 2025 (Tier-1 International Conference in Networking)
Turbo: Efficiently Serving Long-Context Large Language Models with In-Network Aggregation
LLM Inference System Deployment Network
Chuwen Zhang, Ying Wan, Hongyang Dang, Yuchen Xu, Wenquan Xu, Yong Feng* (*corresponding author), Junchen Jiang, Congcong Miao
USENIX NSDI 2026 (To Submit)
ClickINC: In-network Computing as a Service in Heterogeneous Programmable Data-center Networks [link]
AI Aggregation Heterogeneous Deployment Compile
Wenquan Xu, Zijian Zhang, Yong Feng, Haoyu Song, Zhikang Chen, Wenfei Wu, Guyue Liu, Yinchao Zhang, Shuxin Liu, Zerui Tian, Bin Liu
ACM SIGCOMM 2023 (Tier-1 International Conference in Networking)
In-situ Programmable Switching using rP4: Towards Runtime Data Plane Programmability [link]
Network Architecture Runtime
Yong Feng, Haoyu Song, Jiahao Li, Zhikang Chen, Wenquan Xu, Bin Liu
HotNets 2021
Extend P4 to Support Runtime Programmability [video][slides]
Network Architecture Compile
Yong Feng, Haoyu Song, Bin Liu
P4 Workshop 2022 (In-depth Talk)
ISAC: In-Switch Approximate Cache for IoT Object Detection and Recognition [link]
AI Cache Dataplane
Wenquan Xu, Zijian Zhang, Haoyu Song, Shuxin Liu, Yong Feng, Bin Liu
IEEE INFOCOM 2023
PBC: Effective Prefix Caching for Fast Name Lookups [link]
Network Cache System
Chuwen Zhang, Yong Feng, Haoyu Song, Beichuan Zhang, Yi Wang, Ying Wan, Wenquan Xu, Bin Liu
IFIP Networking 2020
P3R: Realizing Robust Routing for VANET Using Trajectory Prediction and Crossroad Recognition [link]
Network Mobility Prediction
Chuwen Zhang, Huichen Dai, Yong Feng, Yang Li, Wenquan Xu, Xuefeng Ji, Ying Wan, Gong Zhang, Bin Liu
IEEE ICPADS 2019
OBMA: Minimizing Bitmap Data Structure with Fast and Uninterrupted Update Processing [link]
Network Data Structure Performance
Chuwen Zhang, Yong Feng, Haoyu Song, Ying Wan, Wenquan Xu, Yilun Wang, Huichen Dai, Yang Li, Bin Liu
IEEE IWQoS 2018
