Functional generative design: an evolutionary approach to 3D-printing. - Cem Celal Tutum; Supawit Chockchowwat; Etienne Vouga; Risto Miikkulainen (GECCO, 2018)

Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning. - Caleb Chuck; Supawit Chockchowwat; Scott Niekum (IROS, 2020)

Step Out of Your Comfort Zone: More Inclusive Content Recommendation for Networked Systems. - Jiaxin Wu; Supawit Chockchowwat (CoRR, 2021)

Airphant: Cloud-oriented Document Indexing. - Supawit Chockchowwat; Chaitanya Sood; Yongjoo Park (ICDE, 2022)

Tuning Hierarchical Learned Indexes on Disk and Beyond. - Supawit Chockchowwat (SIGMOD Conference, 2022)

Probabilistic PolarGMM: Unsupervised Cluster Learning of Very Noisy Projection Images of Unknown Pose. - Supawit Chockchowwat; Chandrajit L. Bajaj (CoRR, 2022)

Automatically Finding Optimal Index Structure. - Supawit Chockchowwat; Wenjie Liu 007; Yongjoo Park (CoRR, 2022)

Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility. - Supawit Chockchowwat; Zhaoheng Li; Yongjoo Park (DEEM@SIGMOD, 2023)

A Step Toward Deep Online Aggregation (Extended Version). - Nikhil Sheoran; Supawit Chockchowwat; Arav Chheda; Suwen Wang; Riya Verma; Yongjoo Park (CoRR, 2023)

A Step Toward Deep Online Aggregation. - Nikhil Sheoran; Supawit Chockchowwat; Arav Chheda; Suwen Wang; Riya Verma; Yongjoo Park (Proc. ACM Manag. Data, 2023)

AirIndex: Versatile Index Tuning Through Data and Storage. - Supawit Chockchowwat; Wenjie Liu 007; Yongjoo Park (Proc. ACM Manag. Data, 2023)

Demonstration of ElasticNotebook: Migrating Live Computational Notebook States. - Zhaoheng Li; Supawit Chockchowwat; Hanxi Fang; Ribhav Sahu; Sumay Thakurdesai; Kantanat Pridaphatrakun; Yongjoo Park (SIGMOD Conference Companion, 2024)

Kishu: Time-Traveling for Computational Notebooks. - Zhaoheng Li; Supawit Chockchowwat; Areet Sheth; Yongjoo Park; Ribhav Sahu (Proc. VLDB Endow., 2024)

Enhancing Computational Notebooks with Code+Data Space Versioning. - Hanxi Fang; Supawit Chockchowwat; Hari Sundaram; Yongjoo Park (CHI, 2025)

Large-scale Evaluation of Notebook Checkpointing with AI Agents. - Hanxi Fang; Supawit Chockchowwat; Hari Sundaram; Yongjoo Park (CHI Extended Abstracts, 2025)

Demo of Kishu: Time-Traveling for Computational Notebooks. - Zhaoheng Li; Supawit Chockchowwat; Hanxi Fang; Yongjoo Park (SIGMOD Conference Companion, 2025)