A Postdoc at Lab for Data Science, USTC. Research interests: Recommender Systems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
USTC
Data Scientist
June 26, 2026 – Present
KuaiRand
June 8, 2022 – Present
An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
View ProjectKuaiRec
February 12, 2022 – Present
KwaiRec: A Fully-observed Dataset for Recommender Systems.
View ProjectCIRS-codes
December 13, 2021 – January 2, 2024
This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"
View ProjectSemantic-Trajectory-Mining
October 1, 2018 – October 1, 2018
Codes of two papers which are accepted by KBS'19 and Information Sciences' 20.
View ProjectCultural Fit Analysis
The candidate's project history is heavily focused on academic research in recommender systems, which aligns well with a research-heavy Data Scientist role. However, the lack of diverse project types or team-based experiences makes it difficult to fully assess broader cultural fit for a typical industry setting. The single listed work experience is current and lacks details.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily academic/personal, and no psychometric or English test scores are available.