4 papers
Binary Flow Matching: Prediction-Loss Space Alignment for Robust Learning
Jiadong Hong, Lei Liu, Xinyu Bian +2
Flow matching has emerged as a powerful framework for generative modeling, with recent empirical successes highlighting the effectiveness of signal-space prediction (-prediction…
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…
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…
Random Multiplexing
Lei Liu, Yuhao Chi, Shunqi Huang +1
As wireless communication applications evolve from traditional multipath environments to high-mobility scenarios like unmanned aerial vehicles, multiplexing techniques have advance…