About

I currently work at Meta Recommendation System as a Software Engineer, building machine learning systems for products used at Meta scale. My interests sit at the intersection of multimodal representation learning, recommendation, and human-centered intelligence.

I received my Ph.D. in Computer Science from Carnegie Mellon University, where I was advised by Dr. Leila Wehbe. My doctoral work investigated the bridge between deep neural networks and the human brain, asking how visual intelligence emerges across biological and artificial systems.

During my PhD, I have done research internships at Meta Reality Labs, working on self-supervised learning methods for neuromuscular data representation and downstream adaptation.

Prior to CMU, I received my Bachelor of Engineering from the Department of Automation at Tsinghua University. During my undergrad time, I worked with Dr. Jiwen Lu.

Publications

Selected Articles

2024

  • R Lin, T Naselaris, K Kay, L Wehbe Stacked regressions and structured variance partitioning for interpretable brain maps
    NeuroImage 298, 120772, 2024

2023

  • N Jain, A Wang, MM Henderson, R Lin, JS Prince, MJ Tarr, L Wehbe Selectivity for food in human ventral visual cortex
    Communications Biology 6 (1), 175, 2023

2019

  • R Li, X Zeng, SE Sigmund, R Lin, B Zhou, C Liu, K Wang, R Jiang, ... Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN
    BMC bioinformatics 20 (Suppl 3), 132, 2019
  • R Lin, X Zeng, K Kitani, M Xu Adversarial domain adaptation for cross data source macromolecule in situ structural classification in cellular electron cryo-tomograms
    Bioinformatics 35 (14), i260-i268, 2019

2018

  • C Che, R Lin, X Zeng, K Elmaaroufi, J Galeotti, M Xu Improved deep learning-based macromolecules structure classification from electron cryo-tomograms
    Machine vision and applications 29 (8), 1227-1236, 2018
  • C Liu, X Zeng, R Lin, X Liang, Z Freyberg, E Xing, M Xu Deep learning based supervised semantic segmentation of electron cryo-subtomograms
    2018 25th IEEE International Conference on Image Processing (ICIP), 1578-1582, 2018

2016

  • Z Wang, J Lu, R Lin, J Feng Correlated and individual multi-modal deep learning for RGB-D object recognition
    arXiv preprint arXiv:1604.01655, 2016