PeopleofSuperintelligence

Researcher

Qi Zhang

Also known as Q Zhang, Q. Zhang

Qi Zhang is a Microsoft executive and AI researcher whose work links search advertising with document retrieval. He earned a chemistry doctorate in 2001 and a computer science master's in 2002 at Washington University in St. Louis, and he holds a bachelor's degree from Peking University. His work includes AdsGNN for sponsored-search relevance, a self-supervised Bing framework for multilingual ad generation, Neural Corpus Indexer, Auto Search Indexer, Model-enhanced Vector Index and OneSparse; Neural Corpus Indexer received a 2022 NeurIPS Outstanding Paper Award. In 2023, he introduced the One Person Entrepreneur concept; as of October 2026, he is Microsoft's corporate vice president, chairs its Asia Pacific R&D Group and is managing director of its Software Technology Center Asia.

Now at
Microsoft
Works
768
Badges

Publication numbers from OpenAlex, as of 22 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Timeline

  1. 2001–2006

    Degrees and handwriting research

    He earns a doctorate in chemistry at Washington University in St. Louis in 2001 and a master's degree in computer science there in 2002. He holds a bachelor's degree from Peking University and works on East Asian handwriting recognition for the Tablet PC by 2006.

  2. 2021

    AdsGNN for sponsored search

    In 2021, he coauthors AdsGNN, which fuses ad text with user behavior graphs to model relevance in sponsored search.

  3. 2022

    Bing ads and Neural Corpus Indexer

    In 2022, he coauthors a self-supervised augmentation and generation framework for multilingual text ads at Bing. He also coauthors Neural Corpus Indexer (NCI), a sequence-to-sequence model that generates relevant document identifiers directly for queries and receives the NeurIPS Outstanding Paper Award in 2022.

  4. 2023

    One Person Entrepreneur model

    In 2023, he introduces the One Person Entrepreneur (OPE) concept and the model “One Person + AI = a Team” to advance AI-native organizations.

  5. 2023

    Auto Search Indexer and MEVI

    In 2023, he coauthors Auto Search Indexer (ASI), which learns document identifiers and retrieves documents with a generative model. He also coauthors Model-enhanced Vector Index (MEVI), which connects generative retrieval with embedding-based search.

  6. 2024

    OneSparse for vector search

    In 2024, he coauthors OneSparse, a multi-index system for vector search in multimodal hybrid vector spaces. Microsoft integrates it into online web search and advertising systems.

  7. As of October 2026

    Microsoft Asia-Pacific leadership

    As of October 2026, he is a corporate vice president at Microsoft, chairs the Microsoft Asia Pacific R&D Group, and is managing director of the Microsoft Software Technology Center Asia.

Career

  1. NowMicrosoftCorporate Vice President

Education

  1. 2002Washington University in St. LouisMaster's degree in Computer Science
  2. 2001Washington University in St. LouisPhD
  3. Peking UniversityBachelor's degree

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Qi Zhang. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. Among employers with 30+ full-time cases, OpenAI leads primary technical role H-1B pay at $310,000, and Amazon, Google and Microsoft file 57% of all casesIncludes Microsoft. Across 440,669 certified US H-1B filings from 44 employers (FY2020–FY2026), OpenAI leads primary technical role base pay at $310,000 and xAI leads overall base pay at $290,000.
  3. Google had the most people shaping AI every year from 2014 to 2025Includes Microsoft. Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Microsoft. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Sources and credits

Photo: We have no published photo of Qi Zhang yet. Send us a free-licensed photo.

  1. Faculty Summit 2006 - Microsoft Research microsoft.com. Checked 21 October 2026.
  2. Qi Zhang microsoft.com. Checked 21 October 2026.
  3. AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search - Microsoft Research microsoft.com. Checked 21 October 2026.
  4. Self-Supervised Augmentation and Generation for Multi-lingual Text Advertisements at Bing - Microsoft Research microsoft.com. Checked 21 October 2026.
  5. A Neural Corpus Indexer for Document Retrieval - Microsoft Research microsoft.com. Checked 21 October 2026.
  6. Announcing the NeurIPS 2022 Awards blog.neurips.cc. Checked 21 October 2026.
  7. Auto Search Indexer for End-to-End Document Retrieval - ACL Anthology aclanthology.org. Checked 21 October 2026.
  8. Model-enhanced Vector Index - Microsoft Research microsoft.com. Checked 21 October 2026.
  9. OneSparse: A Unified System for Multi-index Vector Search - Microsoft Research microsoft.com. Checked 21 October 2026.