Mingcong Han

According to our database, Mingcong Han authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

TensorHub: Scalable and Elastic Weight Transfer for LLM RL Training.

Chenhao Ye, Huaizheng Zhang, Mingcong Han, Baoquan Zhong, Xiang Li, Qixiang Chen, Xinyi Zhang, Weidong Zhang, Kaihua Jiang, Wang Zhang, He Sun, Wencong Xiao, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau

CoRR, April, 2026

Real-time, Work-conserving GPU Scheduling for Concurrent DNN Inference.

Mingcong Han, Rong Chen, Weihang Shen, Hanze Zhang, Jinrong Yang, Haibo Chen

ACM Trans. Comput. Syst., February, 2026

DistRS: Disaggregated Reward Service for RLVR with Batch-Level Constraint.

Ruidong Zhu, Mingcong Han, Yinmin Zhong, Wencong Xiao, Xuanzhe Liu, Xin Jin

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

Accurate and Ultra-Fast Launch-Time Validation of Idempotency for GPU Kernels.

Mingcong Han, Weihang Shen, Rong Chen, Haibo Chen

Proceedings of the 21st European Conference on Computer Systems, 2026

2025

Fast LLM Post-training via Decoupled and Fastest-of-N Speculation.

Rongxin Cheng, Kai Zhou, Xingda Wei, Siyuan Liu, Mingcong Han, Mingjing Ai, Yeju Zhou, Baoquan Zhong, Wencong Xiao, Rong Chen, Haibo Chen

CoRR, November, 2025

Holistic Heterogeneous Scheduling for Autonomous Applications using Fine-grained, Multi-XPU Abstraction.

Mingcong Han, Weihang Shen, Rong Chen, Binyu Zang, Haibo Chen

CoRR, August, 2025

Colocating ML Inference and Training with Fast GPU Memory Handover.

Jiali Wang, Yankui Wang, Mingcong Han, Rong Chen

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

PhoenixOS: Concurrent OS-level GPU Checkpoint and Restore with Validated Speculation.

Xingda Wei, Zhuobin Huang, Tianle Sun, Yingyi Hao, Rong Chen, Mingcong Han, Jinyu Gu, Haibo Chen

Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles, 2025

XSched: Preemptive Scheduling for Diverse XPUs.

Weihang Shen, Mingcong Han, Jialong Liu, Rong Chen, Haibo Chen

Proceedings of the 19th USENIX Symposium on Operating Systems Design and Implementation, 2025

2024

Microsecond-scale Dynamic Validation of Idempotency for GPU Kernels.

Mingcong Han, Weihang Shen, Guanwen Peng, Rong Chen, Haibo Chen

CoRR, 2024

PARALLELGPUOS: A Concurrent OS-level GPU Checkpoint and Restore System using Validated Speculation.

Zhuobin Huang, Xingda Wei, Yingyi Hao, Rong Chen, Mingcong Han, Jinyu Gu, Haibo Chen

CoRR, 2024

2023

DArray: A High Performance RDMA-Based Distributed Array.

Baorong Ding, Mingcong Han, Rong Chen

Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022

Microsecond-scale Preemption for Concurrent GPU-accelerated DNN Inferences.

Mingcong Han, Hanze Zhang, Rong Chen, Haibo Chen

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

FNotify: A Low-Latency and Scalable Publish/Subscribe System using RDMA.

Yusen Xu, Sijie Shen, Mingcong Han, Rong Chen

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

ShadowVM: accelerating data plane for data analytics with bare metal CPUs and GPUs.

Zhifang Li, Mingcong Han, Shangwei Wu, Chuliang Weng

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021