个人简介

• 韩明聪，博士研究生，上海交通大学并行与分布式系统研究所，导师为陈榕教授。目前主要研究方向为异构资源调度系统、分布式系统、机器学习系统。

学术经历

• 2016.09 - 2017.06，华东师范大学计算机科学与软件工程学院，本科生
• 2017.09 - 2020.06，华东师范大学数据科学与工程学院，本科生
• 2020.09 - 至今，上海交通大学并行与分布式系统研究所，博士研究生

学术论文

• [SOSP’25] 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 and Haibo Chen. The 31st Symposium on Operating Systems Principles (2025).
• [TOCS] Real-time, Work-conserving GPU Scheduling for Concurrent DNN Inference. Mingcong Han, Rong Chen, Weihang Shen, Hanze Zhang, Jinrong Yang and Haibo Chen. ACM Transactions on Computer Systems (2025).
• [arxiv] Holistic Heterogeneous Scheduling for Autonomous Applications using Fine-grained, Multi-XPU Abstraction. Mingcong Han, Weihang Shen, Rong Chen, Binyu Zang and Haibo Chen.
• [arxiv] Microsecond-scale Dynamic Validation of Idempotency for GPU Kernels. Mingcong Han, Weihang Shen, Guanwen Peng, Rong Chen and Haibo Chen.
• [OSDI’25] XSched: Preemptive scheduling for diverse XPUs. Weihang Shen, Mingcong Han, Jialong Liu, Rong Chen, Haibo Chen. The 19th USENIX Symposium on Operating Systems Design and Implementation (2025).
• [ATC’25] Colocating ML Inference and Training with Fast GPU Memory Handover. Jiali Wang, Yankui Wang, Mingcong Han and Rong Chen. 2025 USENIX Annual Technical Conference (2025).
• [ICPP’23] DArray: A High Performance RDMA-Based Distributed Array. Baorong Ding, Mingcong Han and Rong Chen. Proceedings of the 52nd International Conference on Parallel Processing (2023).
• [OSDI’22] Microsecond-scale Preemption for Concurrent GPU-accelerated DNN Inferences. Mingcong Han, Hanze Zhang, Rong Chen and Haibo Chen. The 16th USENIX Symposium on Operating Systems Design and Implementation (2022).
• [PPoPP’21] ShadowVM: accelerating data plane for data analytics with bare metal CPUs and GPUs. Zhifang Li, Mingcong Han, Shangwei Wu and Chuliang Weng. Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (2021).