AI People Wiki

Builders & open source

Xiaodong He

Senior Vice President of JD Group (JD.COM), JD Group

  • Senior Vice President of JD Group (JD.COM), JD Group (JD.com)1
  • Affiliate Professor, Department of Electrical Engineering, University of Washington12

Xiaodong He is a Senior Vice President of JD Group (JD.com). Before joining JD.com, Xiaodong He worked at Microsoft Research as Principal Researcher and Head of the Deep Learning Technology Center, and Xiaodong He also serves as an Affiliate Professor at the University of Washington. Research interests include deep learning, speech, natural language, computer vision, and information retrieval; at Microsoft Research, Xiaodong He co-authored the deep structured semantic models (DSSM) paper for web search, the bottom-up and top-down attention method for image captioning and visual question answering, and AttnGAN for text-to-image generation. Xiaodong He is an IEEE Fellow.12345

At a glance

Current roles
Senior Vice President of JD Group (JD.COM) +1 more
Sector
Company
Education
UW
Work listed
3
Honors
2
Sources cited
5
Profile reviewed

Career

Xiaodong He worked at Microsoft Research as a Principal Researcher and head of its Deep Learning Technology Center. After joining JD.com, Xiaodong He became a Senior Vice President of JD Group and managing director of JD AI Research, and the IEEE MMSP 2025 programme also lists Xiaodong He as managing director of the JD Joy Future Academy.1

Xiaodong He is also an affiliate professor in the University of Washington's Department of Electrical and Computer Engineering. Xiaodong He gave a keynote titled "From Digital Human to Humanoids" at IEEE MMSP 2025, on building digital humans and humanoid systems with large language and vision models.21

Research

Xiaodong He's research spans deep learning, speech, natural language, computer vision and information retrieval. Vision-and-language work includes the 2017 bottom-up and top-down attention method for image captioning and visual question answering, and AttnGAN, an attentional generative adversarial network for fine-grained text-to-image generation.245

Work and contributions

  • Deep Structured Semantic Models (DSSM) Published research

    Co-author of "Learning Deep Structured Semantic Models for Web Search using Clickthrough Data" (CIKM 2013).3

  • Bottom-Up and Top-Down Attention Published research

    Co-author of "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering" (CVPR 2018), which proposes combining object-level bottom-up attention with top-down attention for image captioning and visual question answering.4

  • AttnGAN Published research

    Co-author of the 2017 paper proposing AttnGAN, an attentional generative adversarial network for fine-grained text-to-image generation.5

Timeline

  1. Co-authored the bottom-up and top-down attention paper for image captioning and visual question answering.4
  2. Co-authored AttnGAN, an attentional GAN for text-to-image generation.5
  3. Gave the keynote "From Digital Human to Humanoids" at IEEE MMSP 2025.1

Other documented roles

Roles the sources document that are not confirmed as current.

Honors and recognition

  • IEEE Fellow · Institute of Electrical and Electronics Engineers1
  • IEEE SPS Best Paper Award · IEEE Signal Processing Society1

Where they work

Suggest a correction or removal

Profiles cover public professional work only, and each statement cites a source. If something is out of date, missing or wrong, tell us and link a source. People can also ask for their profile to be corrected or removed.

References

5 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026

  1. IEEE MMSP 2025 keynote speakers — Xiaodong HeIEEE (MMSP 2025) · Official page · published 2025 · accessed Oct 21, 2026
  2. Xiaodong He — Affiliate Professor, UW Electrical & Computer EngineeringUniversity of Washington · Official page · accessed Oct 21, 2026
  3. Learning Deep Structured Semantic Models for Web Search using Clickthrough DataMicrosoft Research · Paper · published Oct 2013 · accessed Oct 21, 2026
  4. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering (arXiv 1707.07998)arXiv · Paper · published Jul 25, 2017 · accessed Oct 21, 2026
  5. AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks (arXiv 1711.10485)arXiv · Paper · published Nov 28, 2017 · accessed Oct 21, 2026