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cs.LG2026
Bernoulli Flow Models: Self-Consistent Generative Modeling for Binary Data
Hao Mo, Liying Yang, Shumin Yao +4
Binary diffusion models typically require many function evaluations (NFEs) to generate high-quality samples, making inference costly. Reducing NFEs without sacrificing sample quali…
cs.IT2026
Unlocking High-Fidelity Analog Joint Source-Channel Coding on Standard Digital Transceivers
Shumin Yao, Hao Chen, Yaping Sun +4
Analog joint source-channel coding (JSCC) has demonstrated superior performance for semantic communications through graceful degradation across channel conditions. However, a funda…
cs.IT2026
Zero-Shot Knowledge Base Resizing for Rate-Adaptive Digital Semantic Communication
Shumin Yao, Hui Du, Lifeng Xie +4
Digital semantic communication systems, which often leverage the Vector Quantized Variational Autoencoder (VQ-VAE) framework, are pivotal for future wireless networks. In a VQ-VAE-…