Bolin Lai

Hi! I am a 5th-year PhD student in the Machine Learning Program of Georgia Institute of Technology, advised by Prof. James Rehg and co-advised by Prof. Zsolt Kira. Currently, I'm also a visiting student at CS department of UIUC. Prior to my PhD, I got my Master's degree majoring in ECE and Bachelor's degree majoring in Information Engineering from Shanghai Jiao Tong University. I worked with Prof. Ya Zhang during my master.

I interned at Meta GenAI (now Meta Superintelligence Lab) for three times working on research of generative models. My projects span multimodal LLMs, image/video diffusion models, autoregressive architectures and fundamental research on autoencoders. Please check my employment experiences and publications below for details.

Email  /  Google Scholar  /  Github  /  LinkedIn  /  Twitter

I'm looking for a full-time Research Scientist / Applied Scientist / ML Engineer position (available starting Dec. 2025). Please drop me an email if you think I'm a good fit in your team.

Research Interests

My research interests lie in Multimodal Learning, especially Generative Models (including Multimodal LLMs and Diffusion Models) and Video Understanding. My career goal is to build unified multimodal systems that can understand, reason, and generate across text, image, video, and audio -- by integrating LLM planning/reasoning and high-fidelity diffusion backends into one autoregressive architecture.

I'm always looking for self-motivated graduate/ungraduate students to collaborate with. Don't hesitate to reach out to me if you are interested in my research.

News

Employment

• [May 2025 – Present] Research Scientist Intern
  Meta Superintelligence Lab, Multimedia Core Video Generation Team
  
  • Analyzing and improving the diffusibility of high-dimension latent space for image/video generation (In Progress) [Role: project leader, first author]
  • Mentor & Manager: Ishan Misra
  • Collaborators: Xudong Wang, Rohit Girdhar, Saketh Rambhatla


• [May 2024 – Dec. 2024] Research Scientist Intern
  Meta GenAI, Llama Applied Multimodal Team
  
  • In-context learning for few-shot image editing using novel autoregressive architecture (CVPR 2025, Highlight) [Role: project leader, first author]
  • Mentor: Tong Xiao      Manager: Ning Zhang
  • Collaborators: Felix Juefei-Xu, Miao Liu, Xiaoliang Dai, Nikhil Mehta, Chenguang Zhu


• [May 2023 – Dec. 2023] Research Scientist Intern
  Meta GenAI, Llama Image/Video Data Team
  
  • Text-guided instructional image generation using LLM and diffusion model (ECCV 2024, Oral, Best Paper Finalist) [Role: project leader, first author]
  • Mentor: Miao Liu      Manager: Guan Pang
  • Collaborators: Xiaoliang Dai, Lawrence Chen

Publications

Awards and Service

• EgoVis Distinghuished Paper Award @CVPR2025
• CVPR Outstanding Reviewer (2025)
• ECCV Best Paper Finalist (2024)
• BMVC Best Student Paper Prize (2022)
• Outstanding Graduate of SJTU (2020)
• Taught ECE4871 as a teaching assistant at Georgia Tech in 2021 and 2022.
• Taught CS7643 Deep Learning as a teaching assistant at Georgia Tech in 2024 and 2025.

• Computer Vision and Pattern Recognition Conference (CVPR)
• International Conference on Computer Vision (ICCV)
• European Conference on Computer Vision (ECCV)
• Conference on Neural Information Processing Systems (NeurIPS)
• The Association for Computational Linguistics (ACL)
• Empirical Methods in Natural Language Processing (EMNLP)
• Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• International Journal of Computer Vision (IJCV)
• Association for the Advancement of Artificial Intelligence (AAAI)
• International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
• ACM Multimedia (ACM MM)
• Journal of Biomedical and Health Informatics (JBHI)
• IEEE Signal Processing Letters (SPL)

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