About Me

I am a fourth-year computer science PhD condidate at NYU Courant advised by Yann LeCun. Prior to this, I got my bachelor’s degrees at the Hong Kong Polytechnic University in 2015 and master’s degree at NYU in 2020.

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
• BSc, Management, The Hong Kong Polytechnic University, 2010 - 2015

Research Interests

I am interested in self-supervised learning methods for images or videos. I am also interested in understanding the design of all kind of neural network architectures.

Papers

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

Contact

jiachen.zhu AT nyu.edu

Appendix

My Favourite Illusion!

The two ideas that I found both shockingly simple and extremely clever: 1, 2

My favourite TensorFlow function!