ShadowVM: accelerating data plane for data analytics with bare metal CPUs and GPUs. - Zhifang Li; Mingcong Han; Shangwei Wu 001; Chuliang Weng (PPoPP, 2021)

FNotify: A Low-Latency and Scalable Publish/Subscribe System using RDMA. - Yusen Xu; Sijie Shen; Mingcong Han; Rong Chen 001 (HPCC/DSS/SmartCity/DependSys, 2022)

Microsecond-scale Preemption for Concurrent GPU-accelerated DNN Inferences. - Mingcong Han; Hanze Zhang; Rong Chen 001; Haibo Chen 001 (OSDI, 2022)

DArray: A High Performance RDMA-Based Distributed Array. - Baorong Ding; Mingcong Han; Rong Chen 001 (ICPP, 2023)

PARALLELGPUOS: A Concurrent OS-level GPU Checkpoint and Restore System using Validated Speculation. - Zhuobin Huang; Xingda Wei; Yingyi Hao; Rong Chen 001; Mingcong Han; Jinyu Gu 001; Haibo Chen 001 (CoRR, 2024)

Microsecond-scale Dynamic Validation of Idempotency for GPU Kernels. - Mingcong Han; Weihang Shen; Guanwen Peng; Rong Chen 001; Haibo Chen 001 (CoRR, 2024)

XSched: Preemptive Scheduling for Diverse XPUs. - Weihang Shen; Mingcong Han; Jialong Liu; Rong Chen 001; Haibo Chen 001 (OSDI, 2025)

Colocating ML Inference and Training with Fast GPU Memory Handover. - Jiali Wang; Yankui Wang; Mingcong Han; Rong Chen 001 (USENIX ATC, 2025)

Holistic Heterogeneous Scheduling for Autonomous Applications using Fine-grained, Multi-XPU Abstraction. - Mingcong Han; Weihang Shen; Rong Chen 001; Binyu Zang; Haibo Chen 001 (CoRR, 2025)