5 papers
VP-VAE: Rethinking Vector Quantization via Adaptive Vector Perturbation
Linwei Zhai, Han Ding, Mingzhi Lin +5
Vector Quantized Variational Autoencoders (VQ-VAEs) are fundamental to modern generative modeling, yet they often suffer from training instability and "codebook collapse" due to th…
We Can Hear You with mmWave Radar! An End-to-End Eavesdropping System
Dachao Han, Teng Huang, Han Ding +4
With the rise of voice-enabled technologies, loudspeaker playback has become widespread, posing increasing risks to speech privacy. Traditional eavesdropping methods often require…
Active Domain Adaptation for mmWave-based HAR via Renyi Entropy-based Uncertainty Estimation
Mingzhi Lin, Teng Huang, Han Ding +4
Human Activity Recognition (HAR) using mmWave radar provides a non-invasive alternative to traditional sensor-based methods but suffers from domain shift, where model performance d…
L3AC: Towards a Lightweight and Lossless Audio Codec
Linwei Zhai, Han Ding, Cui Zhao +4
Neural audio codecs have recently gained traction for their ability to compress high-fidelity audio and provide discrete tokens for generative modeling. However, leading approaches…
One Snapshot is All You Need: A Generalized Method for mmWave Signal Generation
Teng Huang, Han Ding, Wenxin Sun +6
Wireless sensing systems, particularly those using mmWave technology, offer distinct advantages over traditional vision-based approaches, such as enhanced privacy and effectiveness…