Publications

Y.-C. Chen, C. P. Lee, Ze-Wei Liou, N. Verma (2026). Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization. arXiv ‘26.

Ze-Wei Liou, D.-Y. Hong (2025). Optimizing Compute Core Assignment for Dynamic Batch Inference in AI Inference Accelerator. ACM SAC ‘25.

G. W. Burr, H. Tsai, W. Simon, I. Boybat, S. Ambrogio, C.-E. Ho, Ze-Wei Liou, et al. (2023). Design of Analog-AI Hardware Accelerators for Transformer-based Language Models. IEDM ‘23.