Youshan Miao | Microsoft Research Asia

About

My research focuses on the systems foundations of modern artificial intelligence, with an emphasis on efficiency, scalability, and reliability.

I am a researcher in the Systems and Networking Research Group at Microsoft Research Asia. My work advances distributed systems, AI infrastructure, and large-scale graph computing.

I study critical challenges in scaling AI systems, from optimizing distributed training algorithms to developing efficient storage and retrieval mechanisms for massive structural datasets. My goal is to build robust and efficient systems that enable the next generation of AI applications.

I received my Ph.D. in Computer Science from the University of Science and Technology of China (USTC) in 2015. Previously, I studied at the School of the Gifted Young and received my B.S. in Computer Science from USTC in 2009.

Research Interests

Systems for AI Distributed training, parallelization, collective communication, and inference infrastructure
Large-Scale Graph Systems Storage, retrieval, and computation for large and evolving graphs
Distributed Systems and Networking Scalable and dependable infrastructure for data-intensive workloads
Programming Systems and Software Engineering Tools and abstractions for building efficient, reliable software

Selected Publications

Complete list on Google Scholar

TrainVerify: Equivalence-Based Verification for Distributed LLM Training

Yunchi Lu, Youshan Miao, Cheng Tan, Peng Huang, Yi Zhu, Xian Zhang, and Fan Yang.

Proceedings of the 31st ACM Symposium on Operating Systems Principles (SOSP), pp. 237-253, 2025.
AutoCCL: Automated Collective Communication Tuning for Accelerating Distributed and Parallel DNN Training

Guanbin Xu, Zhihao Le, Yinhe Chen, Zhiqi Lin, Zewen Jin, Youshan Miao, and Cheng Li.

22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI), pp. 667-683, 2025.
nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training

Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, and Lidong Zhou.

18th USENIX Symposium on Operating Systems Design and Implementation (OSDI), pp. 347-363, 2024.
Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation

Guodong Liu, Youshan Miao, Zhiqi Lin, Xiaoxiang Shi, Saeed Maleki, Fan Yang, Yungang Bao, and Sa Wang.

19th European Conference on Computer Systems (EuroSys), pp. 163-181, 2024.
Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search

Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, and Fan Yang.

30th IEEE International Symposium on High-Performance Computer Architecture (HPCA), pp. 803-816, 2024.
Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning Workloads

Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, and Olli Saarikivi.

27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), pp. 402-416, 2022.
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks

Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, and Lidong Zhou.

14th USENIX Symposium on Operating Systems Design and Implementation (OSDI), pp. 881-897, 2020.
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs

Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, and Yafei Dai.

USENIX Annual Technical Conference (ATC), pp. 443-458, 2019.
ImmortalGraph: A System for Storage and Analysis of Temporal Graphs

Youshan Miao, Wentao Han, Kaiwei Li, Ming Wu, Fan Yang, Lidong Zhou, Vijayan Prabhakaran, Enhong Chen, and Wenguang Chen.

ACM Transactions on Storage, 11(3), pp. 1-34, 2015.
Kineograph: Taking the Pulse of a Fast-Changing and Connected World

Raymond Cheng, Ji Hong, Aapo Kyrola, Youshan Miao, Xuetian Weng, Ming Wu, Fan Yang, Lidong Zhou, Feng Zhao, and Enhong Chen.

7th European Conference on Computer Systems (EuroSys), pp. 85-98, 2012.

Contact

Research correspondence

Research questions and collaboration

yomia (at) microsoft (dot) com

Internship applications

Applications are welcome; please send a CV

msra-srg-hire (at) microsoft (dot) com

Office

Microsoft Research Asia

No. 5 Danling Street, Haidian
Beijing, China