most citedFoundation Models for CPS-IoT: Opportunities and Challenges

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

collaborators

5 papers

cs.LG2025

PASS: Private Attributes Protection with Stochastic Data Substitution

Yizhuo Chen, Chun-Fu, Chen +3

The growing Machine Learning (ML) services require extensive collections of user data, which may inadvertently include people's private information irrelevant to the services. Vari…

cs.LG2025

SPAR: Self-supervised Placement-Aware Representation Learning for Distributed Sensing

Yizhuo Chen, Tianchen Wang, You Lyu +7

We present SPAR, a framework for self-supervised placement-aware representation learning in distributed sensing. Distributed sensing spans applications where multiple spatially dis…

cs.SI2025

SCRAG: Social Computing-Based Retrieval Augmented Generation for Community Response Forecasting in Social Media Environments

Dachun Sun, You Lyu, Jinning Li +4

This paper introduces SCRAG, a prediction framework inspired by social computing, designed to forecast community responses to real or hypothetical social media posts. SCRAG can be…

cs.AI2025

InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals

Tomoyoshi Kimura, Xinlin Li, Osama Hanna +10

Standard multimodal self-supervised learning (SSL) algorithms regard cross-modal synchronization as implicit supervisory labels during pretraining, thus posing high requirements on…

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…