Shengbang Tong
Scholar

Shengbang Tong

Google Scholar ID: hYlbtl8AAAAJ
NYU Courant
AIComputer VisionDeep LearningRepresentation Learning
Citations & Impact
All-time
Citations
2,442
 
H-index
16
 
i10-index
19
 
Publications
20
 
Co-authors
24
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - Web-SSL and MetaMorph accepted at ICCV 2025
  • - RLVLM accepted at NeurIPS 2024, Cambrian accepted at NeurIPS 2024 as an Oral Paper
  • - Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs accepted at CVPR 2024 as an Oral Paper
  • - Image Clustering in the Age of Pretrained Models accepted at ICLR 2024
  • - MultiMon and CRATE(whitebox-transformer) accepted at NeurIPS 2023
  • - Manifold Linearizing and Clustering accepted at ICCV 2023
  • - incremental-CTRL accepted at ICLR 2023
  • Received OpenAI Superalignment Fellowship (2024-2025)
Research Experience
  • Researcher at Berkeley Artificial Intelligence Lab (BAIR) under Prof. Yi Ma and Prof. Jacob Steinhardt. Joined FAIR, Meta for summer internship with Dr. Zhuang Liu in May 2024; re-joined FAIR as a research scientist intern in May 2025.
Education
  • Triple major in Computer Science, Applied Mathematics (Honor), and Statistics (Honor) from UC Berkeley. Currently a second-year PhD student in NYU Courant CS, advised by Professor Yann LeCun and Professor Saining Xie.
Background
  • Research interests include world models, unsupervised/self-supervised learning, generative models, and multimodal models. From Nanjing, China, and Melbourne, Australia.
Miscellany
  • Personal interests and hobbies not mentioned