4 papers
Soft Graph Diffusion Transformer for MIMO Detection
Nan Jiang, Jiadong Hong, Lei Liu +3
Learning-based MIMO detection has shown strong empirical performance, yet existing methods typically rely on fixed-depth architectures without explicitly modeling the progressive r…
Diffusion-OAMP for Joint Image Compression and Wireless Transmission
Wentao Hou, Yimin Bai, Zelei Luo +2
Joint image compression and wireless transmission remain relatively underexplored compared to generic image restoration, despite its importance in practical communication systems.…
Prediction--Loss Alignment for Sampler--Robust Flow Matching Training
Jiadong Hong, Lei Liu, Xinyu Bian +2
Recent work has popularized a practical recipe in diffusion and flow matching: predict the clean signal , convert it to a velocity, and train through a velocity-space loss. The…
Soft Graph Transformer for MIMO Detection
Jiadong Hong, Lei Liu, Xinyu Bian +2
We propose the Soft Graph Transformer (SGT), a soft-input-soft-output neural architecture designed for MIMO detection. While Maximum Likelihood (ML) detection achieves optimal accu…