2 papers
cs.LG2025
Achieving binary weight and activation for LLMs using Post-Training Quantization
Siqing Song, Chuang Wang, Ruiqi Wang +2
Quantizing large language models (LLMs) to 1-bit precision significantly reduces computational costs, but existing quantization techniques suffer from noticeable performance degrad…
cs.CV2024
FacialPulse: An Efficient RNN-based Depression Detection via Temporal Facial Landmarks
Ruiqi Wang, Jinyang Huang, Jie Zhang +6
Depression is a prevalent mental health disorder that significantly impacts individuals' lives and well-being. Early detection and intervention are crucial for effective treatment…