Yeye He

关于

I am a senior principal researcher in the Data Systems group at Microsoft Research. I finished my PhD at University of Wisconsin-Madison with Prof. Jeffrey Naughton.

Recently I have been working on Self-service Data Preparation (opens in new tab), where we develop technologies to automate a variety of data-preparation tasks in the context of data science and business intelligence workflows.

Our research has been recognized with best paper awards at VLDB and SIGMOD. Additionally, some of our technologies have been integrated into various Microsoft products and services, including Power Query (opens in new tab) for Power BI (opens in new tab) (program synthesis, operator recommendations), Excel (data cleansing, error detection in tables), Azure Machine Learning (opens in new tab) (data prep SDK),  and Azure Purview (opens in new tab) (auto-tagging of data columns, data-quality suggestion for tables in data lakes).

Previously I worked on search engine query-log mining (Entity-Synonym, Attribute-Synonym, Acronym, etc.), which are used in applications like Bing Snapp and Bing Knowledge Widget (opens in new tab).

Selected Professional Activities

• 2027 EDBT: Senior PC (SPC), research track
• 2026 ICDM: Co-chair, industry track
• 2026 SIGKDD: Senior AC (SAC), applied data science track
• 2026 SIGMOD: Associate Editors (AE), research track
• 2025 CIKM: Senior PC (SPC), research track
• 2025 SIGKDD: Senior AC (SAC), applied data science track
• 2024 CIKM: Senior PC (SPC), research track
• 2024 ICDE: Sponsorship Chair
• 2023 ICDE: Co-chair, demo track

Selected Awards

• 2024, Best of VLDB
• 2023, SIGMOD research highlight
• 2023, VLDB Best Paper Award (with Peng Li, Cong Yan, Yue Wang, and Surajit Chaudhuri)
• 2023, SIGMOD Best Paper Award (with Cong Yan, and Yin Lin)