Wonyeol Lee

PhD Candidate at Stanford CS  wonyeol.lee.cs@gmail.com  CV

About Me

I am a final year PhD student in Computer Science at Stanford University advised by Alex Aiken. In 2017-2020, I was a researcher at KAIST to serve mandatory military service, working with Hongseok Yang. I received my BS degree in Computer Science & Mathematics from POSTECH. I am a recipient of the Samsung Scholarship.

I like to raise and solve fundamental / theoretical questions in machine learning (ML) and related areas that are connected to practice. In particular, I am interested in identifying and addressing various challenges in ML that arise from discrepancies between the theory and practice of ML, especially the following: in theory, mathematical functions of interest are assumed to be “well-behaved”, but in practice, they are represented by programs which can be easily “ill-behaved”.

Research Interests

Publications

Preprints

  1. Training with Mixed-Precision Floating-Point Assignments
    Wonyeol Lee, Rahul Sharma, Alex Aiken
    In Submission

Conferences

  1. Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference
    Wonyeol Lee, Xavier Rival, Hongseok Yang
    POPL 2023
    slides | code

  2. On Correctness of Automatic Differentiation for Non-Differentiable Functions
    Wonyeol Lee, Hangyeol Yu, Xavier Rival, Hongseok Yang
    NeurIPS 2020 (Spotlight)
    slides | slides-long | poster | video

  3. Differentiable Algorithm for Marginalising Changepoints
    Hyoungjin Lim, Gwonsoo Che, Wonyeol Lee, Hongseok Yang
    AAAI 2020

  4. Towards Verified Stochastic Variational Inference for Probabilistic Programs
    Wonyeol Lee, Hangyeol Yu, Xavier Rival, Hongseok Yang
    POPL 2020
    slides | video | code

  5. Reparameterization Gradient for Non-Differentiable Models
    Wonyeol Lee, Hangyeol Yu, Hongseok Yang
    NeurIPS 2018
    slides | poster | code

  6. On Automatically Proving the Correctness of math.h Implementations
    Wonyeol Lee, Rahul Sharma, Alex Aiken
    POPL 2018
    slides | slides-short | video

  7. Verifying Bit-Manipulations of Floating-Point
    Wonyeol Lee, Rahul Sharma, Alex Aiken
    PLDI 2016
    slides | video

  8. A Proof System for Separation Logic with Magic Wand
    Wonyeol Lee, Sungwoo Park
    POPL 2014

  9. CT-IC: Continuously Activated and Time-Restricted Independent Cascade Model for Viral Marketing
    Wonyeol Lee, Jinha Kim, Hwanjo Yu
    ICDM 2012
    slides

  10. Edge Detection Using Morphological Amoebas in Noisy Images
    Wonyeol Lee, Seyun Kim, Youngwoo Kim, Jaeyoung Lim, Dong Hoon Lim
    ICIP 2009

Journals

  1. CT-IC: Continuously Activated and Time-Restricted Independent Cascade Model for Viral Marketing
    Jinha Kim, Wonyeol Lee, Hwanjo Yu
    Knowledge-Based Systems, 2014

  2. Edge Detection Based on Morphological Amoebas
    Wonyeol Lee, Youngwoo Kim, Seyun Kim, Jaeyoung Lim, Dong Hoon Lim
    Imaging Science Journal, 2012


trips | last updated: 01/2023