| 2026 | ASPDAC | Integrated Re-Fragmentation and Curve Correction for Curvilinear Optical Proximity Correction. | Seohyun Kim, Shilong Zhang, Junha Jang, Youngsoo Shin |
| 2026 | DATE | Enhanced CXL Pooled Memory System for Scalable AI via Embedding Access Prediction. | Jongho Park, Hoyeon Lee, Seohyun Kim, Minho Ha, Byungil Koh, Jungmin Choi, Yeseong Kim |
| 2025 | DAC | Late Breaking Results: A Diffusion-Based Framework for Configurable and Realistic Multi-Storage Trace Generation. | Seohyun Kim, Junyoung Lee, Jongho Park, Jinhyung Koo, Sungjin Lee, Yeseong Kim |
| 2025 | DATE | A Synthesizable Thyristor-Like Leakage-Based True Random Number Generator. | Seohyun Kim, Jang Hyun Kim, Jongmin Lee |
| 2025 | DATE | Late Breaking Results: Dynamically Scalable Pruning for Transformer-Based Large Language Models. | Junyoung Lee, Shinhyoung Jang, Seohyun Kim, Jongho Park, Ilhong Suh, Hoon Sung Chwa, Yeseong Kim |
| 2025 | ISLPED | Jack Unit: An Area- and Energy-Efficient Multiply-Accumulate (MAC) Unit Supporting Diverse Data Formats. | Seock-Hwan Noh, Sungju Kim, Seohyun Kim, Daehoon Kim, Jaeha Kung, Yeseong Kim |
| 2025 | SIGMETRICS | Diffusion-Based Generative System Surrogates for Scalable Learning-Driven Optimization in Virtual Playgrounds. | Junyoung Lee, Seohyun Kim, Shinhyoung Jang, Jongho Park, Yeseong Kim |
| 2024 | DATE | Towards Forward-Only Learning for Hyperdimensional Computing. | Hyunsei Lee, Hyukjun Kwon, Jiseung Kim, Seohyun Kim, Mohsen Imani, Yeseong Kim |
| 2024 | ICCD | Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing. | Hyunsei Lee, Jiseung Kim, Seohyun Kim, Hyukjun Kwon, Mohsen Imani, Ilhong Suh, Yeseong Kim |
| 2022 | ICSE | Improving Code Autocompletion with Transfer Learning. | Wen Zhou, Seohyun Kim, Vijayaraghavan Murali, Gareth Ari Aye |
| 2022 | PLDI | Predictive synthesis of API-centric code. | Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra |
| 2021 | ICSE | Learning Autocompletion from Real-World Datasets. | Gareth Ari Aye, Seohyun Kim, Hongyu Li |
| 2021 | ICSE | Code Prediction by Feeding Trees to Transformers. | Seohyun Kim, Jinman Zhao, Yuchi Tian, Satish Chandra |
| 2021 | WACV | Weakly Supervised Instance Segmentation by Deep Community Learning. | Jaedong Hwang, Seohyun Kim, Jeany Son, Bohyung Han |
| 2019 | PLDI | Neural query expansion for code search. | Jason Liu, Seohyun Kim, Vijayaraghavan Murali, Swarat Chaudhuri, Satish Chandra |
| 2018 | PLDI | Retrieval on source code: a neural code search. | Saksham Sachdev, Hongyu Li, Sifei Luan, Seohyun Kim, Koushik Sen, Satish Chandra |
| 2016 | EDM | Soft Clustering of Physics Misconceptions Using a Mixed Membership Model. | Guoguo Zheng, Seohyun Kim, Yanyan Tan, April Galyardt |