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

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

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.ET2024★ 1 cited

Quantum Ranging Enhanced TDoA Localization

Entong He, Yuxiang Yang, Chenshu Wu

Localization is critical to numerous applications. The performance of classical localization protocols is limited by the specific form of distance information and suffer from consi…

cs.ET2024

QuERLoc: Towards Next-Generation Localization with Quantum-Enhanced Ranging

Entong He, Yuxiang Yang, Chenshu Wu

Remarkable advances have been achieved in localization techniques in past decades, rendering it one of the most important technologies indispensable to our daily lives. In this pap…

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…