Yu Cheng

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Hi, this is Yu Cheng (程羽). I am a third-year graduate student in School of Computer Science at Peking University, advised by Prof. Zhi Yang. I received my B.S. (Summa Cum Laude) from Turing Class at Peking University in 2022.

I am also a research intern in System Research Group of Microsoft Research Asia (MSRA), supervised by Dr. Jilong Xue and Dr. Lingxiao Ma.

I am a core developer of TileLang, a programming language for AI workload on various hardware platforms.

My research interests lie in deep learning systems, specifically on compilation optimization of deep learning framework.

Email: yu [DOT] cheng [AT] pku [DOT] edu [DOT] cn

publications

  1. PipeThreader: Software-Defined Pipelining for Efficient DNN Execution
    Yu Cheng, Lei Wang, Yining Shi, and 9 more authors
    The 19th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’25), 2025
  2. NeuStream: Bridging Deep Learning Serving and Stream Processing
    Haochen Yuan, Yuanqing Wang, Wenhao Xie, and 5 more authors
    The 20th European Conference on Computer Systems (EuroSys’25), 2025
  3. Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor
    Yiqi Liu, Yuqi Xue, Yu Cheng, and 4 more authors
    30th ACM Symposium on Operating Systems Principles (SOSP 2024), 2024
  4. GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning
    Hanyu Zhao, Zhi Yang, Yu Cheng, and 8 more authors
    Proceedings of the ACM on Management of Data, 2023
  5. Zoomer: Boosting retrieval on web-scale graphs by regions of interest
    Yuezihan Jiang, Yu Cheng, Hanyu Zhao, and 6 more authors
    In 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2022

experiences

04/2022-Now Microsoft Research Asia
07/2021-01/2022 Alibaba Cloud
10/2020-07/2021 Alibaba
  • Research intern
  • Advised by Liang Wang

teaching

2023 Spring TA, Algorithm Design and Analysis.
2022 Spring TA, Algorithm Design and Analysis.