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SE Ph.D.
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Tsinghua University
Data Scientist
June 29, 2026 – Present
Defects4DLL-Study
March 12, 2025 – December 3, 2025
Defects4DLL-Study — GitHub repository
View ProjectDL-Coverage-Study
February 22, 2023 – September 23, 2023
This is the homepage of our JSEP paper: Revisiting Deep Neural Network Test Coverage from the Test Effectiveness Perspective
View ProjectLMT
January 26, 2023 – January 26, 2023
This is the webpage of our ICSE 2023 SEIP paper: Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations
View Projectnumerical_bugs_in_dl_programs
May 28, 2022 – January 10, 2023
This repository contains the issues and posts of our work An Empirical Study on Numerical Bugs in Deep Learning Programs. We list these issues and posts in four markdown files as follows.
View ProjectGRIST
June 10, 2021 – October 16, 2022
This is the implementation repository of our incoming ESEC/FSE 2021 paper: Exposing Numerical Bugs in Deep Learning via GradientBack-propagation.
View ProjectLEMON
May 29, 2020 – October 29, 2023
This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated on academic research in deep learning testing, which aligns with a highly specialized technical culture. The diversity of projects is limited to this specific domain. While the current role is 'Data Scientist', the project focus is very specific to research in DL testing, which might indicate a strong preference for research-oriented roles rather than broader data science applications. The lack of diverse project types or team-based project descriptions makes it difficult to fully assess broader cultural fit beyond a research-heavy environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong focus on academic research and publication, suggesting a detail-oriented and analytical approach. However, there is insufficient data to assess specific soft skills like teamwork, leadership, or stress handling, as psychometric test scores are zero and no interview data is provided.