PUBLICATONS

[3] H. Yang, C. E. Song, et al., T. Rosing, and M. Kang, “End-to-end Few-shot Learning Accelerator with Integrated Feature Extraction

and Hyperdimensional Computing Classifier” (under review), IEEE Symposium on VLSI Technology & Circuits, 2024

[2] C. E. Song, et al., T. Rosing, and M. Kang, “Efficient Transformer Acceleration via Reconfiguration for Encoder and Decoder

Models and Sparsity-Aware Algorithm Mapping” (under review), ACM/IEEE International Symposium on Low Power Electronics and

Design (ISLPED), 2024

[1] C. E. Song, et al., T. Rosing, and M. Kang, “52.5 TOPS/W 1.7GHz Reconfigurable XGBoost Inference Accelerator based on Modular-Unit-Tree with Dynamic Data and Compute Gating”, IEEE Custom Integrated Circuits Conference (CICC), 2024