3 papers
cs.LG2026
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…
cs.IT2026
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…
cs.LG2026
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…