Kehan Wu

Master Candidate

Simulation-Driven RF Sensing #60GHz #Passive-Sensing #Channel-Simulator

wukh2024@mail.sustech.edu.cn Homepage

About

Kehan Wu is currently pursuing the Master degree at SUSTech. His research interests include millimeter-wave sensing, simulation-to-reality human sensing, and RF simulation.

Research Projects

Lead LIVE

Dual-Attention and Adversarial Transfer Networks for Sim-to-Real Cross-Orientation Wireless Sensing

Millimeter-wave activity recognition degrades when the user's orientation changes, yet labeling measured data for every orientation is costly. S2M-Sense synthesizes orientation-diverse training data from single-orientation motion capture with a physics-guided channel simulator, extracts orientation-robust features from dual-link Doppler spectrograms with a dual-attention network, and bridges the simulation-to-reality gap through adversarial unsupervised transfer learning. On 60.48 GHz measured data, accuracy reaches 88.33% with simulation-only training and 95% after transfer with 16 unlabeled samples.

Related Publications

[01]

arXiv • preprint Simulation-Driven RF Sensing

Dual-Attention and Adversarial Transfer Networks for Sim-to-Real Cross-Orientation Wireless Sensing

Linfeng Du , Kehan Wu , Tong Zhang , Rui Wang

arXiv Preprint , Aug, 2026.

[arXiv Open Access] [Code]

BibTeX Citation

@misc{du2026dualattention,
  title         = {Dual-Attention and Adversarial Transfer Networks for Sim-to-Real Cross-Orientation Wireless Sensing},
  author        = {Linfeng Du and Kehan Wu and Tong Zhang and Rui Wang},
  year          = {2026},
  eprint        = {2608.05664},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  url           = {https://arxiv.org/abs/2608.05664}
}