Looking for full-time positions starting in May 2022.

I am a Ph.D. candidate in Computer Science of University of North Carolina at Chapel Hill, working with Prof. Marc Niethammer and Prof. Colin Raffle. My recent research focuses on learning visual representations that generalize to new domains/tasks with less human supervision, including self/semi-supervised learning, domain generalization, and compositional generalization. I am a member of the Royster Society of Fellows and supported by its Dissertation Completion Fellowship.

During my PhD, I had great time as interns at Google on self-supervised representation learning, at Nvidia on federated Learning, and at Siemens Healthineers on domain adaptation.

I received my master’s degree on Imaging Science from Rochester Institute of Technology advised by Prof. Nathan Cahill on remote sensing image analysis and image registration. I received my bachelor’s degree from Department of Physics at Xi’an Jiaotong University, where I did research at Quantum Optics Lab with Prof. Pei Zhang.

Recent Publications

Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu, Deyi Liu, Junlin Yang, Colin Raffel, and Marc Niethammer. ICLR 2021

Anatomical Data Augmentation via Fluid-based Image Registration
Zhengyang Shen, Zhenlin Xu, Sahin Olut, Marc Niethammer. MICCAI 2020

A Deep Network for Joint Registration and Reconstruction of Images with Pathologies
Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer. MLMI workshop on MICCAI 2020

Adversarial Data Augmentation via Deformation Statistics
Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer. ECCV 2020

DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation
Zhenlin Xu, Marc Niethammer. MICCAI 2019 (Early Accepted)

Networks for Joint Affine and Non-parametric Image Registration
Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer. CVPR 2019

Contextual Additive Networks to Efficiently Boost 3D Image Segmentations
Zhenlin Xu, Zhengyang Shen, Marc Niethammer. DLMIA workshop on MICCAI 2018

Academic Services

  • Conference Reviewer: MICCAI, AAAI, ICCV, NeurIPS, ICLR


My Erdős number is 4 by coauthoring a paper with Dr. Nathan Cahill.