Publications (15)
Improving Facial Landmark Detection Accuracy and Efficiency with Knowledge Distillation
Zong-Wei Hong, Yu-Chen Lin
The domain of computer vision has experienced significant advancements in facial-landmark detection, becoming increasingly essential across various applications such as augmented r…
Stock Prices Prediction using Deep Learning Models
Jialin Liu, Fei Chao, Yu-Chen Lin +1
Financial markets have a vital role in the development of modern society. They allow the deployment of economic resources. Changes in stock prices reflect changes in the market. In…
Speech Recovery for Real-World Self-powered Intermittent Devices
Yu-Chen Lin, Tsun-An Hsieh, Kuo-Hsuan Hung +4
The incompleteness of speech inputs severely degrades the performance of all the related speech signal processing applications. Although many researches have been proposed to addre…
NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling
Chi-Chang Lee, Cheng-Hung Hu, Yu-Chen Lin +3
For deep learning-based speech enhancement (SE) systems, the training-test acoustic mismatch can cause notable performance degradation. To address the mismatch issue, numerous nois…
Scaling Multimodal Search and Recommendation with Small Language Models via Upside-Down Reinforcement Learning
Yu-Chen Lin, Sanat Sharma, Hari Manikandan +3
In this work, we investigate how small language models (SLMs) can be scaled to support multimodal search and recommendation use cases while remaining efficient enough for real-time…
Single-Atom Amplification Assisted by Multiple Sideband Interference in 1D Waveguide QED Systems
Kuan-Ting Lin, Ting Hsu, Fahad Aziz +4
This study conducts a theoretical investigation into the signal amplification arising from multiple Rabi sideband coherence within a one-dimensional waveguide quantum electrodynami…