Wonyeol Lee

Incoming Assistant Professor (November 2024)
Computer Science Department, POSTECH

Postdoctoral Associate
Computer Science Department, CMU

wonyeol.lee.cs@gmail.com  |  CV

I am recruiting motivated and talented students at all levels.
If you are interested, please email me with your CV, transcript, and research interests.

About Me

I am a Postdoctoral Associate at CMU, working with Feras Saad. I received my Ph.D. in Computer Science from Stanford University, working under Alex Aiken. During my Ph.D., I also spent time at KAIST for military service, working with Hongseok Yang. Before that, I obtained my B.S. degree in Computer Science and Mathematics from POSTECH.

My research aims at making continuous computations more reliable and more scalable. Towards this goal, I consider a wide range of continuous computations arising in different areas (e.g., programming languages and machine learning), and study their correctness and efficiency in three main directions:

Research Interests


  1. Expressive Power of ReLU and Step Networks under Floating-Point Operations
    Yeachan Park, Geonho Hwang, Wonyeol Lee, Sejun Park
    Preprint, 2024

  2. What Does Automatic Differentiation Compute for Neural Networks?
    Sejun Park, Sanghyuk Chun, Wonyeol Lee
    ICLR 2024 (Spotlight)

  3. Reasoning About Floating Point in Real-World Systems
    Wonyeol Lee
    Ph.D. Dissertation, 2023

  4. On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters
    Wonyeol Lee, Sejun Park, Alex Aiken
    ICML 2023

  5. Training with Mixed-Precision Floating-Point Assignments
    Wonyeol Lee, Rahul Sharma, Alex Aiken
    TMLR 2023

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

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

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

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

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

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

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

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

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

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

trips | last updated: 03/2024