Alan Zelun Luo

Graduate Student
Computer Science Department
Stanford University
zelunluo at stanford dot edu

[Google Scholar] [Github] [CV (updated on Dec 2016)]

About

Education

Master of Science
Computer Science
Stanford University
2015-Present

Bachelor of Science
Electrical and Computer Engineering
University of Illinois at Urbana-Champaign
2012-2015

Industry

Google
Research Intern
June 2017-September 2017

Amazon A9
Research Intern
June 2016-September 2016

Yahoo
Software Engineering Intern
May 2015-September 2015

Teaching

  • Teaching Assistant, CS 231N (Convolutional Neural Networks for Visual Recognition), Spring 2017

  • Teaching Assistant, CS 224N (Natural Language Processing with Deep Learning), Winter 2017

  • Head Teaching Assistant, CS 131 (Computer Vision: Foundations and Applications), Fall 2016

  • Teaching Assistant, CS 109 (Probability for Computer Scientists), Spring 2016

  • Teaching Assistant, CS 109 (Probability for Computer Scientists), Winter 2016

  • Teaching Assistant, CS 131 (Computer Vision: Foundations and Applications), Fall 2015

Publications

Computer Vision

Label-Efficient Learning of Transferable Representations across Domains and Tasks

Domain Adaptation Semi-Supervised Learning Transfer Learning

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

NIPS 2017 submission

Unsupervised Learning of Long-Term Motion Dynamics for Videos

Action Recognition Unsupervised Learning 3D Computer Vision

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

CVPR 2017

Towards Viewpoint Invariant 3D Human Pose Estimation

Human Pose Estimation 3D Computer Vision

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

ECCV 2016

AI-Assisted Healthcare

Label-Free Tissue Scanner for Colorectal Cancer Screening

Bioimaging Medical Image Analysis

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 2017

Vision-based Approach to Senior Healthcare: Convolutional Neural Networks for Five Clinical States

Action Recognition 3D Computer Vision

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

American Medical Informatics Association (AMIA) 2017 submission

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

Bioimaging Medical Image Analysis

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) 2016

Vision-Based Hand Hygiene Monitoring in Hospitals

Action Recognition 3D Computer Vision

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

NIPS 2015 Machine Learning for Health Care Workshop

Breast Cancer Diagnosis using Spatial Light Interference Microscopy

Bioimaging Medical Image Analysis

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

Journal of Biomedical Optics 2015

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

Bioimaging Medical Image Analysis

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

SPIE Photonics West: BiOS 2015

Diagnosis of Breast Cancer Biopsies using Quantitative Phase Imaging

Bioimaging Medical Image Analysis

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

SPIE Photonics West: BiOS 2015

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

Bioimaging Medical Image Analysis

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

SPIE Photonics West: BiOS 2015

Projects

2016

End-to-End Deep Neural Network for Text Recognition in the Wild

Scene Text Recognition

Zelun Luo

Research Project at Amazon A9 (advised by Dr. Son Tran)

Show, Discriminate, and Tell: A Discriminative Image Captioning Model with Deep Neural Networks

Image Captioning

Zelun Luo*, Boya Peng*, Te-Lin Wu*

Navi: Your In-Store Navigator

Augmented Reality Google Tango (Android) SLAM Startup Project

Zelun Luo*, Genie Hyatt*, Zuozhen Liu*, Catherine Mullings*, Boya Peng*

Deep Annotator: A General Purpose Web Annotation Interface

Web Development React

Zelun Luo*, Boya Peng*