most citedFoundation Models for CPS-IoT: Opportunities and Challenges

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SP2025

UniFi: Combining Irregularly Sampled CSI from Diverse Communication Packets and Frequency Bands for Wi-Fi Sensing

Gaofeng Dong, Kang Yang, Mani Srivastava

Existing Wi-Fi sensing systems rely on injecting high-rate probing packets to extract channel state information (CSI), leading to communication degradation and poor deployability.…

cs.LG20251 cited

Toward Foundation Models for Online Complex Event Detection in CPS-IoT: A Case Study

Liying Han, Gaofeng Dong, Xiaomin Ouyang +3

Complex events (CEs) play a crucial role in CPS-IoT applications, enabling high-level decision-making in domains such as smart monitoring and autonomous systems. However, most exis…

cs.LG20251 cited

Foundation Models for CPS-IoT: Opportunities and Challenges

Ozan Baris, Yizhuo Chen, Gaofeng Dong +9

Methods from machine learning (ML) have transformed the implementation of Perception-Cognition-Communication-Action loops in Cyber-Physical Systems (CPS) and the Internet of Things…

cs.LG2025

NAROCE: A Neural Algorithmic Reasoner Framework for Online Complex Event Detection

Liying Han, Gaofeng Dong, Xiaomin Ouyang +3

Modern machine learning models excel at detecting individual actions, objects, or scene attributes from short, local observations. However, many real-world tasks, such as in smart…

cs.NI2025

GSRF: Complex-Valued 3D Gaussian Splatting for Efficient Radio-Frequency Data Synthesis

Kang Yang, Gaofeng Dong, Sijie Ji +2

Synthesizing radio-frequency (RF) data given the transmitter and receiver positions, e.g., received signal strength indicator (RSSI), is critical for wireless networking and sensin…