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, with a recent focus on sequential decision making and generative modeling.


PhD in Computer Science, UW-Madison


BS in Data Science, Yuanpei College, Peking University

SEP 2015 - JUL 2019


DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
Ying Fan*, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee* (* equal contribution)


NeurIPS 2023


Algorithms for Optimal Adaptation of Diffusion Models to Reward Functions
Krishnamurthy Dj Dvijotham, Shayegan Omidshafiei, Kimin Lee, Katherine M. Collins, Deepak Ramachandran, Adrian Weller, Mohammad Ghavamzadeh, Milad Nasr, Ying Fan, Jeremiah Zhe Liu


ICML 2023 Workshop Frontiers4LCD


Optimizing DDPM Sampling with Shortcut Fine-Tuning
Ying Fan, Kangwook Lee


ICML 2023
pdf talk code


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


NeurIPS 2022 Workshop DistShift
pdf code


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


NeurIPS 2022
pdf talk code


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


ICML 2022
Oral (2%)
pdf talk code


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


ICML 2021
Oral (3%)
pdf talk code


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



IFDS RAship, UW-Madison

Founder Scholarship, Peking University

Award for Academic Excellence, Peking University



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