About Me

I am a graduate student in computer science from the University of Wisconsin, Madison. I am very fortunate to be advised by Prof. Robert D. Nowak, Prof. Dimitris Papailiopoulos and Prof. Kangwook Lee. My research interests lie in the intersection of machine learning and deep learning. In 2020, I got my B.E. in Computer Science from Xi'an Jiaotong University. In my third year of undergrad, I exchanged to the University of California, Berkeley. During my stay, I was a member of Dr. Stella Yu's group at ICSI.

Publications

In-Context Newton’s Method for Regression: Transformers Can Provably Converge
Angeliki Giannou, Liu Yang, Tianhao Wang, Dimitris Papailiopoulos, Jason D. Lee
International Conference on Learning Representations 2024 (ICLR) BGPT workshop arxiv

Looped Transformers are Better at Learning Learning Algorithms
Liu Yang, Kangwook Lee, Robert D. Nowak, Dimitris Papailiopoulos
International Conference on Learning Representations 2024 (ICLR) arxiv | code | 45-Minute Talk

Rare Gems: Finding Lottery Tickets at Initialization
Kartik Sreenivasan*, Jy-yong Sohn*, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Eric Xing, Kangwook Lee, Dimitris Papailiopoulos
Neural Information Processing Systems 2022 (NeurIPS) arxiv

A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets
Liu Yang, Jifan Zhang, Joseph Shenouda, Dimitris Papailiopoulos, Kangwook Lee, Robert D. Nowak
Neural Information Processing Systems 2022 (NeurIPS) OPT workshop arxiv | code

Flow-based Generative Models for Learning Manifold to Manifold Mappings
Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh
AAAI Conference on Artificial Intelligence 2021 (AAAI) arxiv

A GMM based algorithm to generate point-cloud and its application to neuroimaging
Liu Yang, Rudrasis Chakraborty
IEEE International Symposium on Biomedical Imaging 2020 (ISBI) workshop arxiv

An "augmentation-free" rotation invariant classification scheme on point-cloud and its application to neuroimaging
Liu Yang, Rudrasis Chakraborty
IEEE International Symposium on Biomedical Imaging 2020 (ISBI) arxiv

Intrinsic Grassmann Averages for Online Linear, Robust and Nonlinear Subspace Learning
Rudrasis Chakraborty, Liu Yang, Søren Hauberg and Baba C. Vemuri
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) paper

Preprints

Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments
Jeongyeol Kwon, Liu Yang, Robert Nowak, Josiah Hanna
arxiv

POIRot: A rotation invariant omni-directional pointnet
Liu Yang, Rudrasis Chakraborty, and Stella X. Yu
arxiv

Reviewer Service

journal Entropy
conference ICML

Hobbies

I enjoy photography in my leisure time. You can find a collection of selected photos I took in Flickr. Also, I was proud to be a member of the women's rowing team in my undergrad university. Try to find me in this photo, where our w8+ just crossed the finish line in the National College Rowing Championships (2018).