activity
20242026
most citedCrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community

5 citations · 5 across the 9 of their papers we have counts for

collaborators

6 papers

cs.NI2025

3D Gaussian Radiation Field Modeling for Integrated RIS-FAS Systems: Analysis and Optimization

Kaining Wang, Bo Yang, Yusheng Lei +7

The integration of reconfigurable intelligent surfaces (RIS) and fluid antenna systems (FAS) has attracted considerable attention due to its tremendous potential in enhancing wirel…

cs.LG2025

Joint Optimization of Cooperation Efficiency and Communication Covertness for Target Detection with AUVs

Xueyao Zhang, Bo Yang, Zhiwen Yu +10

This paper investigates underwater cooperative target detection using autonomous underwater vehicles (AUVs), with a focus on the critical trade-off between cooperation efficiency a…

cs.LG2025

Adaptive and Resource-efficient Agentic AI Systems for Mobile and Embedded Devices: A Survey

Sicong Liu, Weiye Wu, Xiangrui Xu +4

Foundation models have reshaped AI by unifying fragmented architectures into scalable backbones with multimodal reasoning and contextual adaptation. In parallel, the long-standing…

cs.LG2025

CrowdHMTware: A Cross-level Co-adaptation Middleware for Context-aware Mobile DL Deployment

Sicong Liu, Bin Guo, Shiyan Luo +7

There are many deep learning (DL) powered mobile and wearable applications today continuously and unobtrusively sensing the ambient surroundings to enhance all aspects of human liv…

cs.IR2024

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference

Jing Du, Zesheng Ye, Bin Guo +5

Recent cross-domain recommendation (CDR) studies assume that disentangled domain-shared and domain-specific user representations can mitigate domain gaps and facilitate effective k…

cs.LG2024

AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control

Fenmin Wu, Sicong Liu, Kehao Zhu +7

The rise of mobile devices equipped with numerous sensors, such as LiDAR and cameras, has spurred the adoption of multi-modal deep intelligence for distributed sensing tasks, such…