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Bo Sun
AI Research Scientist, Meta Platforms (Menlo Park)
bsunmiracle@fb.com
Ph.D., M.S., University of Southern California
bos@usc.edu (dead) miracle@alumni.usc.edu (now)

I am an AI Research Scientist at Meta Superintelligence Lab, based in Menlo Park, California. My work centers on media understanding and generation — building foundation models that perceive, reason about, and create images and video at scale. Recent work includes reference-based image generation (Imagine Yourself, AI Sticker) and video generation (Video Ads Creatives), and movie-grade talking-character synthesis (Mocha, NeurIPS Spotlight). Before Meta, I earned my Ph.D. and M.S. from the University of Southern California, where I studied computer vision, deep learning, and the statistical genomics of gene-expression regulation.

[We are hiring] I’m looking for strong, motivated students for AI Research Intern roles in media generation, world models, and long-context agentic memory. If this sounds like you, reach out at bsunmiracle@meta.com.

Research Area

  • Computer Vision, Deep Learning
  • Media generation, image/video gen
  • VLM/Streaming VLM, media understanding
  • Bio foundation models, Genomics

Education

University of Southern California
2016 - 2021
Ph.D. Quantitative and Computational Biology
Investigate the principle of gene expressions, supervised by Prof. Liang Chen
University of Southern California
2018 - 2020
M.Sc. Compuer Science , Minor: Data Science
2 industrial internships, Gladewell Lab and Facebook AI
Tongji University, Shanghai, China
2008 - 2012
B.Eng. Bioinformatics , Minor: computer science
Epigenomics Lab, supervised by Prof. Cizhong Jiang

News

Currently working on media understanding/generation for Ads Creatives

Publications

Selected and recent papers
MoCha: Towards Movie-Grade Talking Character Synthesis, 2025, NeurIPS (Spotlight)
Cong Wei , Bo Sun , Haoyu Ma, et al.
Imagine Yourself: Tuning-Free Personalized Image Generation, 2024, arXiv
Zecheng He , Bo Sun , Felix Juefei-Xu, et al.
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression, 2024, ECCV
Animesh Sinha , Bo Sun , Anmol Kalia, et al.
Interpretable deep learning for improving cancer patient survival based on personal transcriptomes, 2023, Scientific Reports
Bo Sun , Liang Chen
Mapping genetic variants for nonsense-mediated mRNA decay regulation across human tissues, 2023, Genome Biology
Bo Sun , Liang Chen
FSCE: Few-shot object detection via contrastive proposal encoding, 2021, CVPR
Bo Sun , Banghuai Li, et al.
Tuning IR-cut Filter for Illumination-aware Spectral Reconstruction from RGB, 2021, CVPR
Bo Sun , Yinqiang Zheng, et al.
Quantile regression for challenging cases of eQTL mapping, 2020, Briefings in Bioinformatics
Bo Sun , Liang Chen
A late B lymphocyte action in dysfunctional tissue repair following kidney injury and transplantation, 2019, Nature Communications
Pietro E Cippà , Jing Liu , Bo Sun, et al.
Transcriptional trajectories of human kidney injury progression, 2018, JCI Insight
Pietro E Cippà* , Bo Sun*, et al.
Hedgehog signaling: from basic biology to cancer therapy, 2017, Cell Chemical Biology
Fujia Wu , Y Zhang , Bo Sun, et al.

Patents

US patent applications
Methods, apparatuses and computer program products for providing tuning-free personalized image generation , US Patent App. 19/213,377 (Pending)
Zecheng He , Bo Sun , Jun Xu , Animesh Sinha, et al.
Style tailoring latent diffusion models for human expression , US Patent App. 18/942,011 (Pending)
Arantxa Casanova Paga , Bo Sun , Anmol Kalia , Amy Lawson Bearman, et al.
Intelligent overlay generation , US Patent App. 18/889,083 (Pending)
Animesh Sinha , Anmol Kalia , Bo Sun , Emily Blanchard, et al.

Projects

I'm open and happy to discuss any CV research and projects collaborations.
Well-documented pytorch implementation of "Zero-Reference Low-Light Image Enhancement (ZeroDCE)"
OpenCV + Pytorch implemenation of "Fast and Efficient Zero-Learning Image Fusion"
Dynamic visulaization of SF Bay area bike sharing