Publications

2025

  1. Submission
    Chipmink: Partial Object Store for Temporal Exploration on Notebooks
    Supawit Chockchowwat, Sumay Thakurdesai, Zhaoheng Li, Matthew S. Krafczyk, and Yongjoo Park
    In Submission 2025
  2. VLDB
    Kishu: Time-Traveling for Computational Notebooks
    Zhaoheng Li, Supawit Chockchowwat, Ribhav Sahu, Areet Sheth, and Yongjoo Park
    In VLDB 2025
    arXiv
  3. CHI
    Enhancing Computational Notebooks with Code+Data Space Versioning
    Hanxi Fang, Supawit Chockchowwat, Hari Sundaram, and Yongjoo Park
    In CHI 2025
  4. CHI-LBW
    Large-scale Evaluation of Notebook Checkpointing with AI Agents
    Hanxi Fang, Supawit Chockchowwat, Hari Sundaram, and Yongjoo Park
    In Late-Breaking Work at CHI 2025

2024

  1. Demo
    Demonstration of ElasticNotebook: Migrating Live Computational Notebook States
    Zhaoheng Li, Supawit Chockchowwat, Hanxi Fang, Ribhav Sahu, Sumay Thakurdesai, Kantanat Pridaphatrakun, and Yongjoo Park
    In Companion of SIGMOD 2024
    HTML
  2. SIGMOD
    AirIndex: Versatile Index Tuning Through Data and Storage
    Supawit Chockchowwat, Wenjie Liu, and Yongjoo Park
    In SIGMOD 2024
    arXiv HTML

2023

  1. SIGMOD
    A Step Toward Deep Online Aggregation
    Nikhil Sheoran*, Supawit Chockchowwat*, Arav Chheda, Suwen Wang, Riya Verma, and Yongjoo Park
    In SIGMOD 2023
    Honorable Mention, SIGMOD 2023 Best Artifact
    * Equally contributed.
    arXiv HTML
  2. DEEM
    Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility
    Supawit Chockchowwat, Zhaoheng Li, and Yongjoo Park
    In DEEM at SIGMOD 2023
    arXiv HTML

2022

  1. AIDB
    Automatically Finding Optimal Index Structure
    Supawit Chockchowwat, Wenjie Liu, and Yongjoo Park
    In AIDB at VLDB 2022
    arXiv HTML
  2. ICDE
    Airphant: Cloud-oriented Document Indexing
    Supawit Chockchowwat, Chaitanya Sood, and Yongjoo Park
    In ICDE 2022
    HTML Slides
  3. SRC
    Tuning Hierarchical Learned Indexes on Disk and Beyond
    Supawit Chockchowwat
    In SRC at SIGMOD 2022
    HTML Poster Slides
  4. CoRR
    Probabilistic PolarGMM: Unsupervised Cluster Learning of Very Noisy Projection Images of Unknown Pose
    Supawit Chockchowwat, and Chandrajit L. Bajaj
    CoRR 2022
    arXiv HTML

2021

  1. CoRR
    Step Out of Your Comfort Zone: More Inclusive Content Recommendation for Networked Systems
    Jiaxin Wu, and Supawit Chockchowwat
    CoRR 2021
    arXiv HTML

2020

  1. IROS
    Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning
    Caleb Chuck, Supawit Chockchowwat, and Scott Niekum
    In IROS 2020
    HTML

2018

  1. GECCO
    Functional generative design: an evolutionary approach to 3D-printing
    Cem Celal Tutum, Supawit Chockchowwat, Etienne Vouga, and Risto Miikkulainen
    In GECCO 2018
    HTML