activity
20242026
most citedHARGPT: Are LLMs Zero-Shot Human Activity Recognizers?

2 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NE2026

Frequency Matching in Spiking Neural Networks for mmWave Sensing

Di Yu, Zhenyu Liao, Changze Lv +7

Millimeter-wave (mmWave) sensing enables privacy-preserving, always-on edge perception, but its measurements are often sparse, temporally irregular, and corrupted by high-frequency…

eess.SP2026

Neuro-Wideband WiFi Sensing via Self-Conditioned CSI Extrapolation

Sijie Ji, Weiying Hou, Chenshu Wu

WiFi sensing has suffered from the limited bandwidths designated for its original communication purpose, leading to fundamental limits in multipath resolution and thus multi-user s…

cs.HC2025

CardioLive: Empowering Video Streaming with Online Cardiac Monitoring

Sheng Lyu, Ruiming Huang, Sijie Ji +3

Online Cardiac Monitoring (OCM) emerges as a compelling enhancement for the next-generation video streaming platforms. It enables various applications including remote health, onli…

cs.SD2024★ 1 cited

USpeech: Ultrasound-Enhanced Speech with Minimal Human Effort via Cross-Modal Synthesis

Luca Jiang-Tao Yu, Running Zhao, Sijie Ji +2

Speech enhancement is crucial for ubiquitous human-computer interaction. Recently, ultrasound-based acoustic sensing has emerged as an attractive choice for speech enhancement beca…

cs.CL2024★ 1 cited

MindGuard: Towards Accessible and Sitgma-free Mental Health First Aid via Edge LLM

Sijie Ji, Xinzhe Zheng, Jiawei Sun +3

Mental health disorders are among the most prevalent diseases worldwide, affecting nearly one in four people. Despite their widespread impact, the intervention rate remains below 2…

cs.RO2024

NeurIT: Pushing the Limit of Neural Inertial Tracking for Indoor Robotic IoT

Xinzhe Zheng, Sijie Ji, Yipeng Pan +2

Inertial tracking is vital for robotic IoT and has gained popularity thanks to the ubiquity of low-cost inertial measurement units and deep learning-powered tracking algorithms. Ex…

cs.CL2024★ 2 cited

HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?

Sijie Ji, Xinzhe Zheng, Chenshu Wu

There is an ongoing debate regarding the potential of Large Language Models (LLMs) as foundational models seamlessly integrated with Cyber-Physical Systems (CPS) for interpreting t…