1 citations · 1 across the 3 of their papers we have counts for
4 papers
Differentiable Bit-Widths: Co-optimizing Pruning and Quantization via SVD for Ultra-Efficient LLM Compression
Hankyul Kang, Jongbin Ryu
SVD-based pruning and quantization have recently emerged as a promising strategy for the ultra-efficient compression of large language models. In these methods, compression is perf…
Evaluation of Winning Solutions of 2025 Low Power Computer Vision Challenge
Zihao Ye, Yung-Hsiang Lu, Xiao Hu +14
The IEEE Low-Power Computer Vision Challenge (LPCVC) aims to promote the development of efficient vision models for edge devices, balancing accuracy with constraints such as latenc…
Do Your Best and Get Enough Rest for Continual Learning
Hankyul Kang, Gregor Seifer, Donghyun Lee +1
According to the forgetting curve theory, we can enhance memory retention by learning extensive data and taking adequate rest. This means that in order to effectively retain new kn…
Interactive Multi-Head Self-Attention with Linear Complexity
Hankyul Kang, Ming-Hsuan Yang, Jongbin Ryu
We propose an efficient interactive method for multi-head self-attention via decomposition. For existing methods using multi-head self-attention, the attention operation of each he…