Anjiang Wei

Ph.D. Student

Computer Science, Stanford University



Short Bio

Anjiang Wei (魏安江 in Chinese) is a PhD student advised by Alex Aiken. He is interested in parallel computing, and is currently working on Legion.
He organizes the weekly Software Research Lunch (subscribe via mailman) and Stanford Systems Seminar (subscribe via mailman).

Research Projects
  1. Anjiang Wei, Akash Levy, Pu Yi, Robert Radway, Priyanka Raina, Subhasish Mitra, Sara Achour
    PBA: Percentile-Based Level Allocation for Multiple-Bits-Per-Cell RRAM
    International Conference on Computer Aided Design
    (ICCAD 2023), California, CA, Oct. 2023

  2. Yinlin Deng*, Chenyuan Yang*, Anjiang Wei, Lingming Zhang
    Fuzzing Deep-Learning Libraries via Automated Relational API Inference
    ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
    (ESEC/FSE 2022), Singapore, Nov. 2022

  3. Size Zheng, Renze Chen, Anjiang Wei, Yicheng Jin, Qin Han, Liqiang Lu, Bingyang Wu, Xiuhong Li, Shengen Yan, Yun Liang
    AMOS: Enabling Automatic Mapping for Tensor Computations On Spatial Accelerators with Hardware Abstraction
    International Symposium on Computer Architecture
    (ISCA 2022), New York City, NY, June 2022
    code slides

  4. Anjiang Wei, Yinlin Deng, Chenyuan Yang, Lingming Zhang
    Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source
    International Conference on Software Engineering
    (ICSE 2022), Pittsburgh, PA, May 2022
    code slides video

  5. Anjiang Wei, Pu Yi, Zhengxi Li, Tao Xie, Darko Marinov, Wing Lam
    Preempting Flaky Tests via Non-Idempotent-Outcome Tests
    International Conference on Software Engineering
    (ICSE 2022), Pittsburgh, PA, May 2022
    dataset slides video

  6. Size Zheng, Renze Chen, Yicheng Jin, Anjiang Wei, Bingyang Wu, Xiuhong Li, Shengen Yan, Yun Liang
    NeoFlow: A Flexible Framework for Enabling Efficient Compilation for High Performance DNN Training
    IEEE Transactions on Parallel and Distributed Systems
    (TPDS 2022)

  7. Pu Yi, Anjiang Wei, Wing Lam, Tao Xie, Darko Marinov
    Finding Polluter Tests Using Java PathFinder
    ACM SIGSOFT Software Engineering Notes
    (SEN 2021)

  8. Peilun Zhang, Yanjie Jiang, Anjiang Wei, Victoria Stodden, Darko Marinov, August Shi
    Domain-Specific Fixes for Flaky Tests with Wrong Assumptions on Underdetermined Specifications
    International Conference on Software Engineering
    (ICSE 2021), Virtual Conference, May 2021
    slides video

  9. Anjiang Wei, Pu Yi, Tao Xie, Darko Marinov, Wing Lam
    Probabilistic and Systematic Coverage of Consecutive Test-Method Pairs for Detecting Order-Dependent Flaky Tests
    International Conference on Tools and Algorithms for the Construction and Analysis of Systems
    (TACAS 2021), Virtual Conference, Mar. 2021
    slides video

  10. Wing Lam, Stefan Winter, Anjiang Wei, Tao Xie, Darko Marinov, Jonathan Bell
    A Large-Scale Longitudinal Study of Flaky Tests
    ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications
    (OOPSLA 2020), Virtual Conference, Nov. 2020
    slides video