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Ming Liu is an Assistant Professor at the University of Wisconsin-Madison. He is a member of the NetLab and madNets groups, focusing on networking systems and the development of efficient, robust, and practical networked systems. His research is driven by emerging hardware infrastructures, load-store interconnects, disaggregated storage solutions, and programmable networks. Liu's work includes notable projects such as the development of a CSFQ-inspired transport layer for switched CXL memory pooling, which is slated for presentation at NSDI 2026, and the propose of Server Chiplet Networking that uncovers specific characteristics for HotNets 2025. Additionally, he is working on PathFinder, which tracks and analyzes CXL.mem using Intel Performance Monitoring Units, set for SIGCOMM 2025. Other projects include benchmarking the Routable PCIe with rPCIeBench, and comparing switched versus switchless architectures in disaggregated SAN at NSDI 2026. Liu actively seeks students for research in building applications, systems, protocols, and utilities for composable rack-scale infrastructures.
Department: Department of Computer Sciences