My name is Peirong Liu (刘沛榕), I am a Machine Learning Researcher at Harvard Medical School and Massachusetts General Hospital. Before that, I obtained my PhD in Computer Science at UNC-Chapel Hill, where I was beyond fortunate to work with my incredible advisor Dr. Marc Niethammer on computer vision and medical imaging. During my PhD, I spent two summers as a research intern at Meta AI computer vision team.
My research interest lies in AI for Health, at an intersection of machine learning, computer vision, and medical imaging. My recent research topics include:
- Partial differential equations, physics-driven deep learning
- Multi-modality, contrast-agnostic learning for brain imaging
- Perfusion imaging, MR imaging
- Stroke, white matter hyperintensities
News
2024
03.13 ~ New preprint on arXiv: “PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI'' [pdf][code]
02.02 ~ Our paper “Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI'' was accept at ISBI 2024!
01.13 ~ Serve as a reviewer for ECCV 2024
2023
12.13 ~ New preprint on arXiv: “Brain-ID: Learning Robust Feature Representations for Brain Imaging'' [pdf][code]
12.13 ~ New preprint: “Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI'' [pdf]
12.13 ~ New toolbox for segmenting anatomy and white matter hyperintensity available on FreeSurfer: “WMH-SynthSeg'' [FreeSurfer Wiki]
11.13 ~ Serve as a reviewer for ICLR 2024 and CVPR 2024
08.13 ~ I start as a Machine Learning Researcher at Harvard Medical School and Massachusetts General Hospital!
06.15 ~ I successfully defended my dissertation at UNC-Chapel Hill, I am officially a PhD now!
05.13 ~ Serve as a reviewer for NeurIPS 2023
02.13 ~ Serve as a reviewer for ICCV 2023 and MICCAI 2023
2022
12.13 ~ New preprint on arXiv: “Unifying Tracking and Image-Video Object Detection'' [pdf]
11.13 ~ Serve as a reviewer for CVPR 2023
10.17 ~ I passed the PhD oral exam and am offically a PhD candidate at UNC-Chapel Hill!
10.02 ~ Serve as a reviewer for ISBI 2023
05.13 ~ Joining as a Research Intern at Meta AI’s Computer Vision team for Summer 2022
04.13 ~ Our paper “Deep Decomposition for Stochastic Normal-Abnormal Transport'' was selected as ORAL presentation at CVPR 2022!
03.13 ~ New preprint on arXiv: “Efficient conditioned face animation using frontally-viewed embedding'' [pdf]
03.02 ~ One paper accepted at CVPR 2022, “Deep Decomposition for Stochastic Normal-Abnormal Transport'' [pdf]
02.26 ~ Serve as a reviewer for ECCV 2022
02.13 ~ Serve as a reviewer for MICCAI 2022
2021
11.30 ~ New preprint on arXiv: “Deep Decomposition for Stochastic Normal-Abnormal Transport'' [pdf]
11.13 ~ Serve as a reviewer for CVPR 2022
10.13 ~ New preprint on arXiv: “Differential Motion Evolution for Fine-Grained Motion Deformation in Unsupervised Image Animation'' [pdf]
09.28 ~ One paper accepted at NeurIPS 2021, “Accurate Point Cloud Registration with Robust Optimal Transport'' [pdf]
09.13 ~ I will return to Facebook AI’s Computer Vision team as a Research Intern for Summer 2022
07.13 ~ One paper accepted at ICCV 2021, “Local Temperature Scaling for Probability Calibration'' [pdf]
05.13 ~ One paper accepted at IEEE TMI, “Perfusion Imaging: An Advection Diffusion Approach'' [Paper to appear]
04.13 ~ Serve as a reviewer for ICCV 2021
03.22 ~ Joining as a Research Intern at Facebook AI’s Computer Vision team for Summer 2021
03.13 ~ One paper accepted as Oral at CVPR 2021, “Discovering Hidden Physics Behind Transport Dynamics'' [pdf]
2020
09.13 ~ New preprint on arXiv: “Perfusion Imaging: A Data Assimilation Approach'' [pdf]
09.05 ~ New preprint on arXiv: “Local Temperature Scaling for Probability Calibration'' [pdf]
08.15 ~ Awarded the MICCAI Student Travel Award, Lima, Peru
06.13 ~ One paper accepted at MICCAI 2020, “Fluid Registration Between Lung CT and Stationary Chest Tomosynthesis Images'' [pdf]
05.13 ~ One paper early accepted as Oral at MICCAI 2020, “PIANO: Perfusion Imaging via Advection-Diffusion'' [pdf]
2019
06.05 ~ Presented my oral paper at IPMI 2019, with time-unlimited Q&A session (⊙﹏⊙)
06.02 ~ Awarded the IPMI Scholarship, Hongkong, China
02.26 ~ My first-ever paper accepted as Oral at IPMI 2019, “Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces'' [pdf]
2018
08.13 ~ Joined as a PhD student in the Dept. of Computer Science at UNC-Chapel Hill
06.13 ~ Received the B.S. in Mathematics from Shanghai University
01.13 ~ Nominated for Outstanding Graduate of Shanghai, China
2017
11.13 ~ Awarded the National Fellowship (top 1%) from Shanghai University
10.13 ~ Awarded the Top Grade Scholarship (top 3%), Outstanding Student, Academic Innovation Scholarship, and Leadership Scholarship from Shanghai University
09.13 ~ Awarded the Baogang Fellowship (top 4) from Shanghai University
05.13 ~ Awarded the President’s List (top 10) from Shanghai University
03.13 ~ Received the Finalist Winner (36/8843) in U.S. Mathematical Contest In Modeling (MCM)
2016
11.13 ~ Received the Third Prize in Shanghai Mathematics Competitions (Math Major)
09.13 ~ Awarded the Top Grade Scholarship (top 3%), Outstanding Student, Academic Innovation Scholarship, and Leadership Scholarship from Shanghai University
03.13 ~ Received the Second Prize in U.S. Mathematical Contest In Modeling (MCM)
2015
09.13 ~ Awarded the Top Grade Scholarship (top 3%), Outstanding Student, and Public Service Scholarship from Shanghai University