4 citations · 7 across the 5 of their papers we have counts for
5 papers
AIRCHITECT v2: Learning the Hardware Accelerator Design Space through Unified Representations
Jamin Seo, Akshat Ramachandran, Yu-Chuan Chuang +2
Design space exploration (DSE) plays a crucial role in enabling custom hardware architectures, particularly for emerging applications like AI, where optimized and specialized desig…
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning
Cheng-Yen Hsieh, Yu-Chuan Chuang, An-Yeu +1
Most existing studies improve the efficiency of Split learning (SL) by compressing the transmitted features. However, most works focus on dimension-wise compression that transforms…
Task-Projected Hyperdimensional Computing for Multi-Task Learning
Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Wu
Brain-inspired Hyperdimensional (HD) computing is an emerging technique for cognitive tasks in the field of low-power design. As a fast-learning and energy-efficient computational…
AdaBoost-assisted Extreme Learning Machine for Efficient Online Sequential Classification
Yi-Ta Chen, Yu-Chuan Chuang, An-Yeu +1
In this paper, we propose an AdaBoost-assisted extreme learning machine for efficient online sequential classification (AOS-ELM). In order to achieve better accuracy in online sequ…
Entropy-Assisted Multi-Modal Emotion Recognition Framework Based on Physiological Signals
Kuan Tung, Po-Kang Liu, Yu-Chuan Chuang +2
As the result of the growing importance of the Human Computer Interface system, understanding human's emotion states has become a consequential ability for the computer. This paper…