| 2026 | KDD | Accelerating Storage-based Training for Graph Neural Networks. | Myung-Hwan Jang, Jeong-Min Park, Yunyong Ko, Sang-Wook Kim |
| 2025 | CIKM | An Efficient PIM-Based Graph Engine on a Single Machine. | Myung-Hwan Jang, Min-Kyeong Shin, Taehyeong Park, Yongjun Park, Sang-Wook Kim |
| 2025 | WWW | RealGraph | Myung-Hwan Jang, Ikhyeon Jo, Duck-Ho Bae, Sang-Wook Kim |
| 2024 | WWW | RealGraphGPU++: A High-Performance GPU-Based Graph Engine with Direct Storage-to-DM IO. | Jeong-Min Park, Myung-Hwan Jang, Duck-Ho Bae, Sang-Wook Kim |
| 2024 | WWW | RealGraphGPU | Jeong-Min Park, Myung-Hwan Jang, Sang-Wook Kim |
| 2023 | CIKM | SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication. | Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim |
| 2023 | ICDE | Orchestrating Large-Scale SpGEMMs using Dynamic Block Distribution and Data Transfer Minimization on Heterogeneous Systems. | Taehyeong Park, Seokwon Kang, Myung-Hwan Jang, Sang-Wook Kim, Yongjun Park |
| 2023 | WWW | RealGraph+: A High-Performance Single-Machine-Based Graph Engine that Utilizes IO Bandwidth Effectively. | Myung-Hwan Jang, Jeong-Min Park, Ikhyeon Jo, Duck-Ho Bae, Sang-Wook Kim |
| 2022 | CIKM | RealGraph | Myung-Hwan Jang, Yun-Yong Ko, Dongkyu Jeong, Jeong-Min Park, Sang-Wook Kim |
| 2019 | WWW | RealGraph: A Graph Engine Leveraging the Power-Law Distribution of Real-World Graphs. | Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, Sunju Park |
| 2018 | WWW | A High-Performance Graph Engine for Efficient Social Network Analysis. | Yong-Yeon Jo, Myung-Hwan Jang, Hyungsoo Jung, Sang-Wook Kim |
| 2017 | SMC | Efficient processing of large-scale sparse matrix-matrix multiplications on a single machine. | Yong-Yeon Jo, Kyuhwan Lee, Myung-Hwan Jang, Sang-Wook Kim, Eunjee Song |
| 2016 | CIKM | Data Locality in Graph Engines: Implications and Preliminary Experimental Results. | Yong-Yeon Jo, Jiwon Hong, Myung-Hwan Jang, Jae-Geun Bang, Sang-Wook Kim |