Dong Liu, Ph.D

AI Researcher

San Jose, California, United States17 yrs 5 mos experience
Highly StableAI Enabled

Key Highlights

  • Over 10 years of expertise in AI and machine learning.
  • Led high-impact AI projects with significant business outcomes.
  • Senior IEEE Member recognized for contributions to the field.
Stackforce AI infers this person is a Multimodal AI Expert with a focus on Media and Retail applications.

Contact

Skills

Core Skills

Machine LearningArtificial IntelligenceComputer Vision

Other Skills

Multimodal GenAIModel TrainingDeploymentGenAIText-to-Image GenerationVideo RecommendationX-functional CollaborationAlgorithmsData ScienceDeep LearningObject DetectionSmart Retail AnalyticsSemantic IndexingConcept ClassificationVideo Event Detection

About

**AI Researcher** Over 10+ years of expertise in computer vision, machine learning, and generative AI. **Proven Impact** Consistently delivered high-impact AI products with significant business outcomes. **Tech Leadership** Led full-cycle ML projects with project management and x-functional collaboration. ** Recognition** Senior IEEE Member (10% of the 400K members of IEEE).

Experience

17 yrs 5 mos
Total Experience
3 yrs 4 mos
Average Tenure
5 mos
Current Experience

Adobe

Research Scientist

Jan 2026Present · 5 mos · San Jose, California, United States · On-site

  • End-2-End multimodal GenAI products, spanning data, model training, and deployment, across videos/images/audio/3d/world models.
Multimodal GenAIModel TrainingDeploymentMachine LearningArtificial Intelligence

Netflix

Research Scientist

Feb 2018Nov 2025 · 7 yrs 9 mos · San Francisco Bay Area

  • Tech leadership.
  • GenAI initiatives for media/ads applications.
  • Shipped first text-to-image generation model customized to Netflix IPs.
  • Promotional media algo & production (video and image).
  • Core video recommendation system.
  • Uplifting member experience and engagement.
  • Strategies to align the algo roadmap with business objectives for team growth and innovation.
  • X-functional collaboration spanning creative production, production design, infrastructure, data science, and UI teams.
GenAIText-to-Image GenerationVideo RecommendationX-functional CollaborationMachine LearningComputer Vision

Retailnext

Research Scientist

Aug 2016Feb 2018 · 1 yr 6 mos · San Francisco

  • Technical Lead on Efficient Deep Learning.
  • Applying AI to smart retail analytics.
  • Convolutional Object Detection.
  • Single Shot Multi-Task Deep Learning.
  • Real Time Human Face/Gender/Age/Activity Detection in videos.
  • Deep Network Architecture Design.
  • Deep Learning on Embedded Device.
Deep LearningObject DetectionSmart Retail AnalyticsMachine LearningComputer Vision

Columbia university in the city of new york

2 roles

Associate Research Scientist @ Digital Video and Multimedia (DVMM) Lab

Jan 2014Oct 2015 · 1 yr 9 mos

  • Lead a team to develop EventNet, a large scale concept ontology with hierarchical structure, for concept based semantic indexing on event videos. Develop sophisticated machine learning methods as concept classifiers to obtain strong event detection performance.
Machine LearningSemantic IndexingConcept Classification

Postdoctoral Research Scientist @ Digital Video and Multimedia (DVMM) Lab

Jan 2011Jan 2014 · 3 yrs

  • Work on large-scale video event detection, object detection, video retrieval, and social
  • media network. Define research directions, formulate research problems, guide students
  • to work out solutions, and summarize research results in academic papers.
Video Event DetectionObject DetectionVideo RetrievalMachine Learning

National university of singapore

Research Engineer

Jan 2009Jan 2011 · 2 yrs

  • Work on advanced statistical learning models such as multi-edge graph model, sequential multi-class classification, hashing based similarity search, and sparse & low rank representation.
Statistical Learning ModelsGraph ModelsClassificationMachine Learning

Microsoft research asia

Research Intern

Jan 2008Jan 2009 · 1 yr

  • Work on content-based tag processing for Internet social images such as tag ranking, tag refinement, tag-to-region assignment, semi-automatic tagging, and tag-based social media retrieval.
Tag ProcessingSocial Media Retrieval

Education

Harbin Institute of Technology

Ph.D. — Computer Science

Sep 2007Jun 2012

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