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Yutong (Kelly) He 何雨桐

Master Student in Computer Science

Stanford University

kellyyhe@stanford.edu


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About Me

News

Education

Work Experience

Honors and Awards

Publications

Teaching Experience

Leadership



About Me

I am a first year master student at Stanford Computer Science. Currently, I am very lucky to be able to work with Prof. Stefano Ermon. Before coming to Stanford, I completed my undergraduate study at University of Rochester, where I was honored to be advised by Prof. Henry Kautz and Prof. Jiebo Luo. My research interests include generative models, adversarial learning and broad deep learning topics in general.

News!

2020
  • 09/23 - I am awarded as a Siebel Scholar for Class of 2021.
  • 06/22 - I start my internship as a machine learning engineer at Adobe Inc. .
  • 04/13 - Our project "Motion-Based Handwriting Recognition and Word Reconstruction" is awarded as a Outstanding Project in Stanford CS 230 Winter 2020.
  • 03/28 - Our project "Generative Pre-Training Language Models with Auxiliary Conditional Summaries" is awarded as a Best Custom Project Report in Stanford CS 224N Winter 2020.
  • 02/26 - Our paper "Fine-grained Image-to-Image Transformation towards Visual Recognition" is accpeted to CVPR 2020.

2019
  • 12/17 - Our project "Motion-based Handwriting Recognition" is awarded as a Best Poster Award Project in Stanford CS 229 Autumn 2019.
  • 09/23 - I start my Master of Science program in computer science at Stanford University.
  • 05/19 - I graduate from University of Rochester as a magna cum laude with double Bachelor of Science degrees in Data Science and Mathematics.

Education

Stanford Universitystanford
MS in Computer Science September 2019 - June 2021 (expected)

GPA: 4.21/4.30


University of Rochesteruofr
BS in Data Science and BS in Mathematics Augest 2015 - May 2019

GPA: 3.95/4.00


Work Experience

Adobe Inc.adobe
Machine Learning Engineer Intern June 2020 - September 2020 (expected)

Work in Sensei & Search team on multi-modal search and recommendation project.

Honors and Awards

  • Siebel Scholar Class of 2021
  • Phi Beta Kappa Member
  • Doris Ermine Smith Award 2019 for Achievement in Mathematics
  • ICWSM’18 Student Scholarship
  • University of Rochester Research Presentation Award 2018
  • University of Rochester Discovery Grant 2018
  • Xerox Engineering Research Fellowship 2017

Publications

  • Wei Xiong, Yutong He, Yixuan Zhang, Wenhan Luo, Lin Ma, and Jiebo Luo. Fine-grained Image-to-Image Transformation towards Visual Recognition, International Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [Paper] [Project Page]

Teaching Experience

University of Rochesteruofr
Teaching Assistant September 2017 - May 2019
  • Machine Vision, Spring 2019
  • Computational Introduction to Statistics, Fall 2018
  • Data Mining (Undergrad/Grad), Spring 2018
  • Discrete Mathematics, Spring 2018
  • Artificial Intelligence (Undergrad/Grad), Fall 2017
  • Database System (Undergrad/Grad), Fall 2017
  • Introduction to Probability, Fall 2017
Workshop Leader September 2016 - May 2017
  • Data Structures and Algorithms, Spring 2017
  • Calculus IIA, Spring 2017
  • Introduction to Computer Science, Fall 2016
  • Calculus I, Fall 2016
Tutor September 2016 - May 2019

Held weekly voluntary tutoring session for computer science, mathematics, statistics courses.

Leadership

Stanford Universitystanford
SURF Graduate Student Mentor June 2020 - August 2020 (expected)

Help Summer Undergraduate Research Fellowship (SURF) scholars reflect on their summer research/professional development experience, learn about the graduate school application process, and gain insight into graduate student life, specifically at Stanford.

University of Rochesteruofr
President of Computer Science Undergraduate Council September 2016 - May 2019
  • Served as a representative of the undergraduate students in computer science community in University of Rochester and a bridge of communication between computer science undergraduate students and the graduate students, faculty members, other departments and other schools.
  • Hosted university hackathons, department town halls, social events, and panels.
  • Organized teams to attend international programming competitions.
Peer Advisor Feburary 2018 - May 2019

Helped students declare majors, make connections with faculty members, review research opportunities, and explore interdisciplinary study.