💫 I’m recruiting Ph.D. students and research interns! Please read the announcement carefully!

About

Dong Lao is an Assistant Professor in the Division of Computer Science and Engineering within the LSU College of Engineering. Prior to LSU, he was a Postdoctoral Research Scholar at the UCLA Vision Lab under Prof. Stefano Soatto. He holds a Ph.D. in Applied Mathematics and Computational Sciences from KAUST under Prof. Ganesh Sundaramoorthi and a B.S. in Mathematics from SJTU.

His research focuses on computer vision models with minimal human supervision, robustness of AI, computational imaging, and optimization. His work appears in CVPR, ICCV, ECCV, NeurIPS, ICML, and JMLR.

Education

• Ph.D., Applied Mathematics & Computational Sciences
  King Abdullah University of Science and Technology, 2017–2021
• M.S., Applied Mathematics & Computational Sciences
  King Abdullah University of Science and Technology, 2015–2017
• B.S., Mathematics (Honors)
  Shanghai Jiao Tong University, 2011–2015

Selected Publications

Full list in my CV or Google Scholar.

• Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation
  Lao, Wang, Wong, Soatto, CVPR 2024 (Highlight)
• On the Viability of Monocular Depth Pre‑training for Semantic Segmentation
  Lao, Yang, Wang, Park, Lu, Wong, Soatto, ECCV 2024
• Sub‑token ViT Embedding via Stochastic Resonance Transformers
  Lao, Wu, Liu, Wong, Soatto, ICML 2024
• Flow‑guided Video Inpainting with Scene Templates
  Lao, Zhu, Wonka, Sundaramoorthi, ICCV 2021
• Phase Consistent Ecological Domain Adaptation
  Yang*, Lao*, Sundaramoorthi, Soatto, CVPR 2020
• Minimum Delay Object Detection from Video
  Lao, Sundaramoorthi, ICCV 2019
• Extending Layered Models to 3D Motion
  Lao, Sundaramoorthi, ECCV 2018
• Minimum Delay Moving Object Detection
  Lao, Sundaramoorthi, CVPR 2017

Teaching

• CSE 4444: Artificial Intelligence — Fall 2025
• CSC 4343: Applied Deep Learning — Spring 2026

Students

I welcome inquiries from prospective students interested in computer vision and machine learning.

If you are an active LSU student, please schedule a meeting with me to discuss potential opportunities.

If you are not an active LSU student, please send an email to lsuvisionhire [at] gmail.com

Service

• Reviewer: TPAMI, IJCV, CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, BMVC, WACV, ACCV, ACMMM, etc.
• Organizer of the 8th UG2+ Workshop at CVPR 2026

Contact

3272W Patrick F. Taylor Hall, Baton Rouge, LA

• Email: dong.lao [at] lsu.edu

Office Hour: TBD