| 2026 | WWW | AlphaFree: Recommendation Free from Users, IDs, and GNNs. | Minseo Jeon, Junwoo Jung, Daewon Gwak, Jinhong Jung |
| 2025 | ICDM | PiGLeT: Probabilistic Message Passing for Semi-Supervised Link Sign Prediction. | Ka Hyun Park, Junghun Kim, Jinhong Jung, U Kang |
| 2025 | PAKDD | AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification. | Minjun Kim, Jaehyeon Choi, Seungjoo Lee, Jinhong Jung, U Kang |
| 2025 | PAKDD | Multi-behavior Recommender Systems: A Survey. | Kyungho Kim, Sunwoo Kim, Geon Lee, Jinhong Jung, Kijung Shin |
| 2024 | CIKM | MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation. | Seunghan Lee, Geonwoo Ko, Hyun-Je Song, Jinhong Jung |
| 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 | AAAI | Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning. | Jong-whi Lee, Jinhong Jung |
| 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 | KDD | Accurate Node Feature Estimation with Structured Variational Graph Autoencoder. | Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang |
| 2021 | KDD | Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion. | Jaehun Jung, Jinhong Jung, U Kang |
| 2020 | EDBT | BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks. | Jinhong Jung, Ha-Myung Park, U Kang |
| 2018 | CIKM | Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range. | Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang |
| 2018 | ICDE | TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs. | Minji Yoon, Jinhong Jung, U Kang |
| 2017 | SIGMOD | BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart. | Jinhong Jung, Namyong Park, Lee Sael, U Kang |
| 2016 | ICDM | Personalized Ranking in Signed Networks Using Signed Random Walk with Restart. | Jinhong Jung, Woojeong Jin, Lee Sael, U Kang |
| 2015 | SIGMOD | BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs. | Kijung Shin, Jinhong Jung, Lee Sael, U Kang |