9 citations · 19 across the 18 of their papers we have counts for
18 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…
What's on Your Plate? Inferring Chinese Cuisine Intake from Wearable IMUs
Jiaxi Yin, Pengcheng Wang, Han Ding +1
Accurate food intake detection is vital for dietary monitoring and chronic disease prevention. Traditional self-report methods are prone to recall bias, while camera-based approach…
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…
Cross-domain EEG-based Emotion Recognition with Contrastive Learning
Rui Yan, Yibo Li, Han Ding +1
Electroencephalogram (EEG)-based emotion recognition is vital for affective computing but faces challenges in feature utilization and cross-domain generalization. This work introdu…
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…
HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous Driving
R. D. Lin, Pengcheng Weng, Yinqiao Wang +3
LiDAR point cloud semantic segmentation plays a crucial role in autonomous driving. In recent years, semi-supervised methods have gained popularity due to their significant reducti…
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…
mmEgoHand: Egocentric Hand Pose Estimation and Gesture Recognition with Head-mounted Millimeter-wave Radar and IMU
Yizhe Lv, Tingting Zhang, Zhijian Wang +4
Recent advancements in millimeter-wave (mmWave) radar have demonstrated its potential for human action recognition and pose estimation, offering privacy-preserving advantages over…
CCS: Continuous Learning for Customized Incremental Wireless Sensing Services
Qunhang Fu, Fei Wang, Mengdie Zhu +3
Wireless sensing has made significant progress in tasks ranging from action recognition, vital sign estimation, pose estimation, etc. After over a decade of work, wireless sensing…
Mask Wearing Status Estimation with Smartwatches
Huina Meng, Xilei Wu, Xin Wang +4
We present MaskReminder, an automatic mask-wearing status estimation system based on smartwatches, to remind users who may be exposed to the COVID-19 virus transmission scenarios,…
Social Distancing Alert with Smartwatches
Xin Wang, Xilei Wu, Huina Meng +4
Social distancing is an efficient public health practice during the COVID-19 pandemic. However, people would violate the social distancing practice unconsciously when they conduct…
You Can Wash Hands Better: Accurate Daily Handwashing Assessment with a Smartwatch
Fei Wang, Tingting Zhang, Xilei Wu +6
Hand hygiene is among the most effective daily practices for preventing infectious diseases such as influenza, malaria, and skin infections. While professional guidelines emphasize…