| 2026 | ICDE | Effective Dataset Distillation for Spatio-Temporal Forecasting with BI-Dimensional Compression. | Taehyung Kwon, Yeonje Choi, Yeongho Kim, Kijung Shin |
| 2025 | ICDE | Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts. | Jongha Lee, Taehyung Kwon, Heechan Moon, Kijung Shin |
| 2025 | WWW | Kronecker Generative Models for Power-Law Patterns in Real-World Hypergraphs. | Minyoung Choe, Jihoon Ko, Taehyung Kwon, Kijung Shin, Christos Faloutsos |
| 2024 | ICDM | ELiCiT: Effective and Lightweight Lossy Compression of Tensors. | Jihoon Ko, Taehyung Kwon, Jinhong Jung, Kijung Shin |
| 2024 | KDD | Compact Decomposition of Irregular Tensors for Data Compression: From Sparse to Dense to High-Order Tensors. | Taehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, Kijung Shin |
| 2023 | ICDM | TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions. | Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin |
| 2023 | WWW | NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors. | Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin |
| 2022 | WSDM | Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs. | Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin |
| 2021 | ICDE | SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams. | Taehyung Kwon, Inkyu Park, Dongjin Lee, Kijung Shin |