Scholar
Dongdong Chen
Google Scholar ID: sYKpKqEAAAAJ
Principal Research Manager, GenAI, Microsoft
Citations & Impact
Citations
22,909
H-index
64
i10-index
122
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Served as Area Chairs for NeurIPs 23/24/25, CVPR 22/23, ECCV 2022, ICPR 22/24, WACV 24/25, SPC of AAAI 2022, and Associated Editor of Pattern Recognition and IEEE TMM. Multiple papers accepted by ICCV 25, CVPR 25, SIGGRAPH Asia 2024, ECCV 24, NeurIPs 23, ICCV 23, CVPR 23, ICML 23, and others.
Research Experience
- Serves as a Principal Research Manager at Microsoft GenAI, leading the foundational data science team, enhancing OpenAI model capabilities in agentic coding scenarios. Leads the post-training for the Phi series of small language models and has contributed to impactful Microsoft product features such as BackgroundRemoval, Generative Eraser, and PPT summarization.
Background
- Research interests include large-scale data building for LLM development, multi-modality and single-modality pretraining & post-training, deep generative models (e.g., GAN/Diffusion, Image-to-Image translation), general representation learning (such as fundamental network structure design), and AI security (e.g., adversarial learning and model IP protection). Currently a Principal Research Manager at Microsoft GenAI, leading the foundational data science team responsible for an integrated loop from data development to model training. Also leads the post-training for the Phi family of small language models.
