Anjiang Wei

Ph.D. Student

Computer Science, Stanford University

Email: anjiang@stanford.edu

CV

Anjiang Wei (魏安江 in Chinese) is a PhD student advised by Alex Aiken. He is interested in high-performance computing, and is currently working on Legion. He worked with Darko Marinov, Tao Xie, Lingming Zhang, Yun (Eric) Liang during his undergraduate.
He organizes the weekly Software Research Lunch (subscribe via mailman) and Stanford Systems Seminar (subscribe via mailman).

1. Anjiang Wei, Akash Levy, Pu (Luke) Yi, Robert M. 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
   slides

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
   code

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)
   slides

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