ABOUT

I am a Ph.D. student in Department of Computer Sciences at UW-Madison, advised by Prof. Kangwook Lee. Before that, I obtained Bachelor's degree in Data Science from Yuanpei College, Peking University. My research interest lies in machine learning, especially in learning efficiency, uncertainty, and ability to generalize/adapt.


CV

EDUCATION

PhD in Computer Science, UW-Madison

IN PROGRESS

BS in Data Science, Yuanpei College, Peking University

SEP 2015 - JUL 2019



PAPERS

Domain Generalization with Nuclear Norm Regularization
Zhenmei Shi*, Yifei Ming*, Ying Fan*, Frederic Sala, Yingyu Liang. (* equal contribution)

 

NeurIPS 2022 Workshop DistShift
pdf

 

Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance
Dohyun Kwon, Ying Fan, Kangwook Lee.

 

NeurIPS 2022
pdf

 

POEM: Out-of-distribution Detection with Posterior Sampling
Yifei Ming*, Ying Fan* and Yixuan Li. (* equal contribution)

 

ICML 2022
Long talk (top 2%)
pdf talk code

 

Model-based Reinforcement Learning for Continuous Control with Posterior Sampling
Ying Fan, Yifei Ming.

 

ICML 2021
Long talk (top 3%)
pdf talk code

 

Detection of Out-of-distribution States in Deep Q Learning
Ying Fan, Yixuan Li.

 

Under Review

 

Efficient Model-Free Reinforcement Learning Using Gaussian Process
Ying Fan, Letian Chen and Yizhou Wang.

 



AWARDS

IFDS RAship, UW-Madison

Founder Scholarship, Peking University

Award for Academic Excellence, Peking University

 


CONTACT

Email
yingfan [at] cs [dot] wisc [dot] edu

Links