About Me (Jiachen Zhu / 朱家晨）
I am a fifth-year PhD candidate in Computer Science at NYU Courant, advised by Yann LeCun.
I am also a Visiting Researcher at FAIR, Meta, where I am hosted by Zhuang Liu.
Job Search
I am actively seeking full-time research positions in vision models or vision-language models starting in late 2025. If you think my background aligns with your team’s goals, please reach out!
Education
- PhD, Computer Science, New York University, 2020 - Now
- MSc, Computer Science, New York University, 2018 - 2020
- BSc, Computer Science, The Hong Kong Polytechnic University, 2010 - 2015
Research Interests
My research focuses on self-supervised learning for images and videos, as well as pretraining vision encoders for vision-language models (VLMs). I am also interested in understanding the design of all kind of neural network architectures.
Papers
Transformers without Normalization
MetaMorph: Multimodal Understanding and Generation via Instruction Tuning
Variance-Covariance Regularization Improves Representation Learning
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment
Contact
jiachen DOT zhu AT nyu DOT edu
Appendix
Two ideas that I find both shockingly simple and extremely clever: 1, 2