Implementing Unified Why- and Why-Not Provenance Through Games. - Seokki Lee; Sven Köhler 003; Bertram Ludäscher; Boris Glavic (IPAW, 2016)

Adaptive Schema Databases. - William Spoth; Bahareh Sadat Arab; Eric S. Chan; Dieter Gawlick; Adel Ghoneimy; Boris Glavic; Beda Christoph Hammerschmidt; Oliver Kennedy; Seokki Lee; Zhen Hua Liu; Xing Niu 002; Ying Yang 005 (CIDR, 2017)

A SQL-Middleware Unifying Why and Why-Not Provenance for First-Order Queries. - Seokki Lee; Sven Köhler 003; Bertram Ludäscher; Boris Glavic (ICDE, 2017)

Integrating Approximate Summarization with Provenance Capture. - Seokki Lee; Xing Niu 002; Bertram Ludäscher; Boris Glavic (TaPP, 2017)

Efficiently Computing Provenance Graphs for Queries with Negation. - Seokki Lee; Sven Köhler 003; Bertram Ludäscher; Boris Glavic (CoRR, 2017)

Debugging Transactions and Tracking their Provenance with Reenactment. - Xing Niu 002; Bahareh Sadat Arab; Seokki Lee; Su Feng; Xun Zou; Dieter Gawlick; Vasudha Krishnaswamy; Zhen Hua Liu; Boris Glavic (Proc. VLDB Endow., 2017)

PUG: A Framework and Practical Implementation for Why & Why-Not Provenance (extended version). - Seokki Lee; Bertram Ludäscher; Boris Glavic (CoRR, 2018)

GProM - A Swiss Army Knife for Your Provenance Needs. - Bahareh Sadat Arab; Su Feng; Boris Glavic; Seokki Lee; Xing Niu 002; Qitian Zeng (IEEE Data Eng. Bull., 2018)

Provenance Summaries for Answers and Non-Answers. - Seokki Lee; Bertram Ludäscher; Boris Glavic (Proc. VLDB Endow., 2018)

Query-based Why-not Explanations for Nested Data. - Ralf Diestelkämper; Boris Glavic; Melanie Herschel; Seokki Lee (TaPP, 2019)

PUG: a framework and practical implementation for why and why-not provenance. - Seokki Lee; Bertram Ludäscher; Boris Glavic (VLDB J., 2019)

Approximate Summaries for Why and Why-not Provenance (Extended Version). - Seokki Lee; Bertram Ludäscher; Boris Glavic (CoRR, 2020)

Approximate Summaries for Why and Why-not Provenance. - Seokki Lee; Bertram Ludäscher; Boris Glavic (Proc. VLDB Endow., 2020)

To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data. - Ralf Diestelkämper; Seokki Lee; Melanie Herschel; Boris Glavic (SIGMOD Conference, 2021)

Using Provenance to Evaluate Risk and Benefit of Data Sharing. - Taeho Jung; Seokki Lee; Wenyi Tang (TaPP, 2021)

To not miss the forest for the trees - a holistic approach for explaining missing answers over nested data (extended version). - Ralf Diestelkämper; Seokki Lee; Melanie Herschel; Boris Glavic (CoRR, 2021)

Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb. - Ralf Diestelkämper; Seokki Lee; Boris Glavic; Melanie Herschel (Proc. VLDB Endow., 2021)

Measuring information gain using provenance. - Shemon Rawat; Seokki Lee; Taeho Jung (TaPP, 2022)

Pedestrian Orientation Estimation based on Super Resolution of LiDAR Data. - Seokki Lee; Yanlei Gu; Igor Goncharenko; Shunsuke Kamijo (ICCE, 2023)

Provenance-based Explanations for Machine Learning (ML) Models. - Justin Turnau; Nkechi Akwari; Seokki Lee; Dwarkesh Rajput (ICDEW, 2023)

Efficient Sampling for Big Provenance. - Sara Moshtaghi Largani; Seokki Lee (WWW (Companion Volume), 2023)

Hybrid Query and Instance Explanations and Repairs. - Seokki Lee; Boris Glavic; Adriane Chapman; Bertram Ludäscher (WWW (Companion Volume), 2023)

Solving Why Not Questions for Aggregate Constraints Through Query Repair. - Shatha Algarni; Boris Glavic; Seokki Lee; Adriane Chapman (EuroS&P Workshops, 2024)

O2ARC 3.0: A Platform for Solving and Creating ARC Tasks. - Suyeon Shim; Dohyun Ko; Hosung Lee; Seokki Lee; Doyoon Song; Sanha Hwang; Sejin Kim 002; Sundong Kim (IJCAI, 2024)

Abductive Symbolic Solver on Abstraction and Reasoning Corpus. - Mintaek Lim; Seokki Lee; Liyew Woletemaryam Abitew; Sundong Kim (LNSAI@IJCAI, 2024)

Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus. - Seungpil Lee; Woochang Sim; Donghyeon Shin; Sanha Hwang; Wongyu Seo; Jiwon Park; Seokki Lee; Sejin Kim 002; Sundong Kim (CoRR, 2024)

ProvenanceWeek2025. - Tanja Auge; Seokki Lee (SIGMOD Conference Companion, 2025)