1 citations · 1 across the 4 of their papers we have counts for
9 papers
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…