About

I am a second-year PhD student in the Computer Science department at Stanford University. I am working in the Stanford Vision and Learning Lab, advised by Prof. Fei-Fei Li.

I am a member of the Stanford Program in AI-Assisted Care (PAC), which is a collaboration between the Stanford AI Lab and Stanford Clinical Excellence Research Center that aims to use computer vision and machine learning to create AI-assisted smart healthcare spaces.

Before that, I received my master's degree from Stanford University and my bachelor's degree from the University of Illinois Urbana-Champaign. During my master's study, I worked in the Stanford Vision and Learning Lab with Prof. Fei-Fei Li, and the Clinical Excellence Research Center with Prof. Arnold Milstein. During my undergraduate study, I spent three years reseaching in the Quantitative Light Imaging Laboratory with Prof. Gabriel Popescu, and the Computer Vision and Robotics Laboratory with Prof. Jia-Bin Huang and Prof. Narendra Ahuja.

Education

Stanford University

Doctor of Philosophy

Computer Science

Stanford University

Master of Science

Computer Science

University of Illinois Urbana-Champaign

Bachelor of Science

Electrical and Computer Engineering

Industry

Facebook Research

Research Intern

Summer 2019

Google Cloud AI

Research Intern

Summer 2017

Amazon A9

Research Intern

Summer 2016

Yahoo

Software Engineering Intern

Summer 2015

Teaching

Professional Activities

  • AI Conference Reviewer: CVPR 2020, AAAI 2020, NeurIPS 2019, ICCV 2019, ICML 2019, CVPR 2019, CVPR 2018

  • Medical Conference Reviewer: MLHC 2019, MLHC 2018

  • Journal Reviewer: TPAMI (Jun. 2019), TPAMI (Nov. 2018)

Selected Publications

Computer Vision and Deep Learning

Graph Distillation for Action Detection with Privileged Information

Zelun Luo, Jun-Ting Hsieh, Lu Jiang, Juan Carlos Niebles, Li Fei-Fei

European Conference on Computer Vision (ECCV) 2018

DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Network Consistency

Yuliang Zou, Zelun Luo, Jia-Bin Huang

European Conference on Computer Vision (ECCV) 2018

Label Efficient Learning of Transferable Representations across Domains and Tasks

Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei

Conference on Neural Information Processing Systems (NIPS) 2017

Unsupervised Learning of Long-Term Motion Dynamics for Videos

Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei

Conference on Computer Vision and Pattern Recognition (CVPR) 2017

Towards Viewpoint Invariant 3D Human Pose Estimation

Albert Haque, Zelun Luo*, Boya Peng*, Alexandre Alahi, Serena Yeung, Li Fei-Fei

European Conference on Computer Vision (ECCV) 2016

AI-Assisted Healthcare

Vision-Based Gait Analysis for Senior Care

Evan Darke, Anin Sayana, Kelly Shen, David Xue, Jun-Ting Hsieh, Zelun Luo, Li-Jia Li, N, Lance Downing, Arnold Milstein, Li Fei-Fei

ML4H: Machine Learning for Health, NeurIPS 2018, Montreal, Canada, December 8, 2018

Computer Vision-based Descriptive Analytics of Seniors' Daily Activities for Long-term Health Monitoring

Zelun Luo*, Jun-Ting Hsieh*, Niranjan Balachandar, Serena Yeung, Guido Pusiol, Jay Luxenberg, Grace Li, Li-Jia Li, N. Lance Downing, Arnold Milstein, Li Fei-Fei

Machine Learning for Healthcare (MLHC) 2018, Stanford, CA, August 17-18, 2018

Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance

Albert Haque, Michelle Guo, Alexandre Alahi, Serena Yeung, Zelun Luo, Alisha Rege, Amit Singh, Jeffrey Jopling, N. Lance Downing, William Beninati, Terry Platchek, Arnold Milstein, Li Fei-Fei

Machine Learning for Healthcare (MLHC) 2017, Boston, MA, August 18-19, 2017

Computer Vision-based Approach to Maintain Independent Living for Seniors

Zelun Luo, Alisha Rege, Guido Pusiol, Arnold Milstein, Li Fei-Fei, N. Lance Downing

American Medical Informatics Association (AMIA), Washington, DC, November 4-8, 2017

Vision-Based Hand Hygiene Monitoring in Hospitals

Serena Yeung, Alexandre Alahi, Zelun Luo, Boya Peng, Albert Haque, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei

American Medical Informatics Association (AMIA), Chicago, November 12-16, 2016

NIPS Workshop on Machine Learning for Healthcare, 2015

Biomedical Imaging and Diagnosis

Label-Free Tissue Scanner for Colorectal Cancer Screening

Mikhail E. Kandel, Shamira Sridharan, Jon Liang, Zelun Luo, Kevin Han, Virgilia Macias, Anish Shah, Roshan Patel, Krishnarao Tangella, Andre Kajdacsy-Balla, Grace Guzman, Gabriel Popescu

Journal of Biomedical Optics, Opt. 22(6), 2017

Towards Quantitative Automated Histopathology of Breast Cancer using Spatial Light Interference Microscopy (SLIM)

Hassaan Majeed, Tan H Nguyen, Mikhail E Kandel, Kevin Han, Zelun Luo, Virgilia Macias, Krishnarao Tangella, Andre Balla, Minh N Do, Gabriel Popescu

United States and Canadian Academy of Pathology (USCAP), Seattle, WA, March 12-18, 2016

Breast Cancer Diagnosis using Spatial Light Interference Microscopy

Hassaan Majeed, Mikhail E Kandel, Kevin Han, Zelun Luo, Virgilia Macias, Krishnarao Tangella, Andre Balla, Gabriel Popescu

Journal of Biomedical Optics, Opt. 20(11), 2015

High Throughput Imaging of Blood Smears using White Light Diffraction Phase Microscopy

Hassaan Majeed, Mikhail E Kandel, Basanta Bhaduri, Kevin Han, Zelun Luo, Krishnarao Tangella, Gabriel Popescu

SPIE Photonics West: BiOS, San Francisco, CA, February 7-12, 2015

Diagnosis of Breast Cancer Biopsies using Quantitative Phase Imaging

Hassaan Majeed, Mikhail E Kandel, Kevin Han, Zelun Luo, Virgilia Macias, Krishnarao Tangella, Andre Balla, Gabriel Popescu

SPIE Photonics West: BiOS, San Francisco, CA, February 7-12, 2015

C++ Software Integration for a High-throughput Phase Imaging Platform

Mikhail E Kandel, Zelun Luo, Kevin Han, Gabriel Popescu

SPIE Photonics West: BiOS, San Francisco, CA, February 7-12, 2015