Steven Cao

Google Scholar | CV
stevencao [at]

Hello! I am an incoming PhD student in the Stanford NLP group.

Previously, I was an undergrad at UC Berkeley, where I was lucky to be advised by Dan Klein, Kannan Ramchandran, and Chunlei Liu.

My research is in natural language processing, and I've worked on syntactic parsing, grammar induction, and multilingual modeling.

Recent Publications


[March 2021] I was selected to receive an NSF Graduate Research Fellowship!
[December 2020] I received the 2021 CRA Undergraduate Researcher Award!
[May 2020] I had a great time discussing multilingual models with Matt Gardner and Pradeep Dasigi as a guest on the NLP Highlights podcast! You can find the episode here.


Low Complexity Probing via Finding Subnetworks Steven Cao, Victor Sanh, Alexander M. Rush NAACL, 2021

Asymmetric Susceptibility Tensor Imaging Steven Cao, Hongjiang Wei, Jingjia Chen, Chunlei Liu Magnetic Resonance in Medicine, 2021

Unsupervised Parsing via Constituency Tests Steven Cao, Nikita Kitaev, Dan Klein EMNLP, 2020

CoVer: Collaborative Light-Node-Only Verification and Data Availability for Blockchains Steven Cao, Swanand Kadhe, Kannan Ramchandran IEEE Blockchain, 2020

Multilingual Alignment of Contextual Word Representations Steven Cao, Nikita Kitaev, Dan Klein ICLR, 2020

Multilingual Constituency Parsing with Self-Attention and Pre-Training Nikita Kitaev, Steven Cao, Dan Klein ACL, 2019

Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction Hongjiang Wei, Steven Cao, Yuyao Zhang, Xiaojun Guan, Fuhua Yan, Kristen Yeom, Chunlei Liu Neuroimage, 2019

Imaging Diamagnetic Susceptibility of Collagen in Hepatic Fibrosis Using Susceptibility Tensor Imaging Hongjiang Wei, Kyle Decker, Hien Nguyen, Steven Cao, Tsung‐Yuan Tsai, Cynthia Dianne Guy, Mustafa Bashir, Chunlei Liu Magnetic Resonance in Medicine, 2019

Quantitative Susceptibility Mapping of Articular Cartilage in Patients with Osteoarthritis at 3 Tesla Hongjiang Wei, Huimin Lin, Le Qin, Steven Cao, Yuyao Zhang, Naying He, Weibo Chen, Fuhua Yan, Chunlei Liu Journal of Magnetic Resonance Imaging, 2019


EECS 126: Probability and Random Processes (Spring 2020) - Teaching Assistant

EECS 16A: Linear Algebra and Circuits (Spring 2019) - Teaching Assistant