28 citations · 35 across the 15 of their papers we have counts for
5 papers · 1 filter
Extending Context Window of Large Language Models via Semantic Compression
Weizhi Fei, Xueyan Niu, Pingyi Zhou +4
Transformer-based Large Language Models (LLMs) often impose limitations on the length of the text input to ensure the generation of fluent and relevant responses. This constraint r…
High Perceptual Quality Wireless Image Delivery with Denoising Diffusion Models
Selim F. Yilmaz, Xueyan Niu, Bo Bai +3
We consider the image transmission problem over a noisy wireless channel via deep learning-based joint source-channel coding (DeepJSCC) along with a denoising diffusion probabilist…
A Hybrid Wireless Image Transmission Scheme with Diffusion
Xueyan Niu, Xu Wang, Deniz Gündüz +3
We propose a hybrid joint source-channel coding (JSCC) scheme, in which the conventional digital communication scheme is complemented with a generative refinement component to impr…
Conditional Rate-Distortion-Perception Trade-Off
Xueyan Niu, Deniz Gündüz, Bo Bai +1
Recent advances in machine learning-aided lossy compression are incorporating perceptual fidelity into the rate-distortion theory. In this paper, we study the rate-distortion-perce…
Computation of Rate-Distortion-Perception Functions With Wasserstein Barycenter
Chunhui Chen, Xueyan Niu, Wenhao Ye +4
The nascent field of Rate-Distortion-Perception (RDP) theory is seeing a surge of research interest due to the application of machine learning techniques in the area of lossy compr…