Zhuoyan Xu Ph.D. student Department of Statistics, Computer Science University of Wisconsin-Madison, US Contact: zhuoyan.xu [at] wisc [dot] edu Office 5388, Department of Computer Sciences, UW-Madison Github | LinkedIn | CV

About Me

I am a Ph.D. student in Statistics at the University of Wisconsin-Madison co-advised by Prof. Yingyu Liang and Prof. Yin Li . I am also fortunate to work with Prof. Yiqiao Zhong and Prof. Kris Sankaran . I obtained my M.S. degree in Computer Science from UW-Madison. Prior to that, I obtained my B.S. degree in Statistics from Wuhan University in 2019.

I will be an Applied Scientist Intern in summer 2024 at Amazon AWS AI, Bellevue. I was a Machine Learning Engineer intern in John Deere Intelligent Solutions Group in summer 2022. I also had an internship at China Merchants Bank, Shanghai.

My research interest includes Foundation Model (including vision, vision-language and large language models) and Representation Learning. I am interested in investigating and analyzing behavior of foundation models, aiming to enhance their adaptation to downstream tasks with improved accuracy and greater efficiency.

Publications

	Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability Zhuoyan Xu*, Zhenmei Shi*, Yingyu Liang ICLR 2024 Workshop [ OpenReview ] [ Code ] [ Slides ]
	Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang ICLR 2024 [ OpenReview ] [ arXiv ] [ Code ] [ IBM Research Talk Slides ] [ Poster ] [ Video ] [ ICLR2023 Workshop Version ] [ Workshop Poster ] [ Workshop Slides ]
	Why Larger Language Models Do In-context Learning Differently? Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu Liang NeurIPS 2023 Workshop [ OpenReview ] [ Poster ]
	Spatial Transcriptomics Dimensionality Reduction using Wavelet Bases Zhuoyan Xu, Kris Sankaran F1000, 2022 [ F1000 Research ] [ arXiv ] [ Rpackage ] [ code ]
	Generalized Tensor Regression with Covariates on Multiple Modes Zhuoyan Xu*, Jiaxin Hu*, Miaoyan Wang arXiv, 2019 [ arXiv ] [ Rpackage ]

Research & Work Experience

	Research Assistant University of Wisconsin-Madison 2022 - Now | Prof. Yingyu Liang and Prof. Yin Li 2021 - 2022 | Prof. Kris Sankaran
	Applied Scientist Intern Amazon in Bellevue, WA Summer 2024 | Haoyang Fang
	Machine Learning Engineer Intern John Deere in Fargo, ND Summer 2022 | Lav Thyagarrajan
	Data Scientist Intern China Merchants Bank in Shanghai, China Summer 2018

Academic Services

Conference Reviewer at ICML 2024

Teaching

Teaching Assistant:
STAT 371: Introductory Applied Statistics for the Life Sciences (20 Fall)
STAT 301: Introduction to Statistical Methods (21 Spring, 21 Summer)
STAT 303-305: R for Statistics (21 Fall)
STAT 479: Statistical Data Visualization (22 Spring)

Instructor of VISP Non-credit program:
Intro to Big Data (Jan. to Feb. in 2020) [ Slides1 ,  Slides2 ] This page has been accessed times since Jan 20, 2024
Last updated: Apr 29, 2024