- 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
- Companies
- JD Group, University of Washington
- 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
Other documented roles
Roles the sources document that are not confirmed as current.
- Principal Researcher and Head of the Deep Learning Technology Center (DLTC), Microsoft Research12
Honors and recognition
Where they work
- JD Group 1 person in the wiki
- University of Washington 19 people in the wiki
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References
5 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026
- IEEE MMSP 2025 keynote speakers — Xiaodong He
- Xiaodong He — Affiliate Professor, UW Electrical & Computer Engineering
- Learning Deep Structured Semantic Models for Web Search using Clickthrough Data
- Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering (arXiv 1707.07998)
- AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks (arXiv 1711.10485)