| 2026 | EuroPar | Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators. | Jangho Lim, Dongin Shin, Uichan Kim, Jinhyeok Choi, Kyung Min Kim, Sangwon Shin, Sangwoo Park, Gunjae Koo, Taeweon Suh |
| 2026 | ICS | Three Birds, One Stone: Fast, Accurate-aware and Cost-Efficient Accelerator for Ternary LLM. | Wonseok Jung, Junseok Kang, Sangwon Shin, Hongjun Um, Jangho Lim, Yongjun Park, Gunjae Koo, Sangwoo Park, Taeweon Suh |
| 2026 | ICS | SumcheckPIM: An Efficient HBM-Based PIM Architecture for Linear Complexity Zero Knowledge Proofs. | Sunchae Kim, Taewoon Kang, Sangwon Shin, Taeweon Suh, Yibin Yang, Gunjae Koo |
| 2025 | EuroPar | SkipNZ: Non-zero Value Skipping for Efficient CNN Acceleration. | Joonyup Kwon, Jinhyeok Choi, Ngoc-Son Pham, Sangwon Shin, Taeweon Suh |
| 2025 | ICCD | HBM-Aware Number Theoretic Transform Accelerator for Zero-Knowledge Proof. | Sangwon Shin, Ngoc-Son Pham, Lei Xu, Weidong Shi, Taeweon Suh |
| 2024 | LCN | Demo: Real-Time Spectrum Segmentation and Classification with Over-The-Air Data. | Sangwon Shin, Prashant Subedi, Mehmet C. Vuran |
| 2024 | LCN | Seek and Classify: End-to-end Joint Spectrum Segmentation and Classification for Multi-signal Wideband Spectrum Sensing. | Prashant Subedi, Sangwon Shin, Mehmet C. Vuran |