9 citations · 15 across the 12 of their papers we have counts for
12 papers
PSEE: Progressive Sensor Event Expansion for Point-Supervised Temporal Action Localization
Jiaxi Yin, Ge Wang, Han Ding +1
Temporal action localization (TAL) in wearable sensor streams identifies action classes and temporal boundaries, enabling finer-grained activity understanding than conventional act…
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…
WS-IMUBench: Can Weakly Supervised Methods from Audio, Image, and Video Be Adapted for IMU-based Temporal Action Localization?
Pei Li, Jiaxi Yin, Lei Ouyang +4
IMU-based Human Activity Recognition (HAR) has enabled a wide range of ubiquitous computing applications, yet its dominant clip classification paradigm cannot capture the rich temp…
MobiDiary: Autoregressive Action Captioning with Wearable Devices and Wireless Signals
Fei Deng, Yinghui He, Chuntong Chu +4
Human Activity Recognition (HAR) in smart homes is critical for health monitoring and assistive living. While vision-based systems are common, they face privacy concerns and enviro…
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…
What Matters in LLM-Based Feature Extractor for Recommender? A Systematic Analysis of Prompts, Models, and Adaptation
Kainan Shi, Peilin Zhou, Ge Wang +2
Using Large Language Models (LLMs) to generate semantic features has been demonstrated as a powerful paradigm for enhancing Sequential Recommender Systems (SRS). This typically inv…
Talk is Not Always Cheap: Promoting Wireless Sensing Models with Text Prompts
Zhenkui Yang, Zeyi Huang, Ge Wang +3
Wireless signal-based human sensing technologies, such as WiFi, millimeter-wave (mmWave) radar, and Radio Frequency Identification (RFID), enable the detection and interpretation o…
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…
A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techniques, Datasets, and Future Research Prospects
Fei Wang, Tingting Zhang, Wei Xi +8
Wi-Fi sensing has emerged as a powerful non-intrusive technology for recognizing human activities, monitoring vital signs, and enabling context-aware applications using commercial…
XRF V2: A Dataset for Action Summarization with Wi-Fi Signals, and IMUs in Phones, Watches, Earbuds, and Glasses
Bo Lan, Pei Li, Jiaxi Yin +5
Human Action Recognition (HAR) plays a crucial role in applications such as health monitoring, smart home automation, and human-computer interaction. While HAR has been extensively…