Feng Gao

Feng Gao received his Ph.D. from UCLA in 2022 co-advised by Ying Nian Wu
and Mark Handcock
. From 2017 to 2021, he was advised by Song-Chun Zhu
.
He is currenty an Applied Scientist in Amazon
and affliated to store foundation AI (SFAI). Specifically, he
- πΆ Build
Rufus
[News1], [News2], Amazonβs LLM-powered Shopping Assistant. - π Launch multimodal Rufus (
Rufus-MM
).- Full-stack M-LLM development: data, pre-training, post-training, evaluation.
- π¬ Actively research on
Feel free to contact me: fenggo [at] amazon [dot] com.
news
Feb 26, 2025 | One paper about Relightable 3D Generation πͺ [paper] [Demo] is accepted to CVPR2025. |
---|---|
Feb 25, 2025 | One paper about efficient video-LLM ποΈ [paper] is accepted to CVPR2025. |
Oct 14, 2024 | Our work about Embodied AI, Planning as In-Painting ![]() ![]() |
Sep 25, 2024 | Two paper accepted to NeurIPS2024. They are about physically constrained Text-to-3D π€Έπ»ββοΈ [paper] [demo] and flow matching generative model [paper]. |
Jun 01, 2024 | Our paper on spatial generalizable T2I π±π is accepted in ECCV2024. [paper] |
selected publications
- CVPR