Yingyong Qi

RARTS: An Efficient First-Order Relaxed Architecture Search Method

2022 · IEEE Access

Differentiable architecture search (DARTS) is an effective method for data-driven neural network design based on solving a bilevel optimization problem. Despite its success in many architecture search tasks, there are still some concerns about the …

COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization

2025 · IEEE Access

Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these models to their low-bit counterparts without compromising the original accuracy remains …