Scholar
Jiachen Zhu
Google Scholar ID: sao1OhsAAAAJ
PhD Student, New York University
Citations & Impact
Citations
343
H-index
7
i10-index
7
Publications
7
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Papers:
- - Scaling Language-Free Visual Representation Learning
- - 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
- - Masked Siamese ConvNets
- - TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning
Research Experience
- Currently a fifth-year PhD candidate in Computer Science at NYU Courant. Visiting Researcher at FAIR, Meta, hosted by Zhuang Liu and Koustuv Sinha.
Education
- PhD, Computer Science, New York University, 2020 - Now; Advisor: Yann LeCun
- MSc, Computer Science, New York University, 2018 - 2020
- BSc, Computer Science, The Hong Kong Polytechnic University, 2010 - 2015
Background
- Research interests: self-supervised learning for images and videos, as well as pretraining vision encoders for vision-language models (VLMs). Also interested in understanding the design of all kinds of neural network architectures.
Miscellany
- Contact: jiachen DOT zhu AT nyu DOT edu
- My Favourite Illusion: 1, 2
Co-authors