5 citations · 5 across the 10 of their papers we have counts for
11 papers
AdaSprite: Resource-efficient Online Co-Adaptation for V2I Systems Under Large-scale Data Drifts
Lehao Wang, Zhiwen Yu, Sicong Liu +3
The rise of vehicle-infrastructure (V2I) collaboration enables safer and broader perception. To process large-scale V2I video streams, vision-language models (VLMs) are promising a…
XGait: A Multi-Modality Wireless Sensing Dataset for Indoor Human Tracking and Identification
Wei Xu, Zhu Wang, Yifan Guo +5
Wireless sensing has emerged as a promising approach for tracking and identification using commodity Internet of Things devices. However, the features derived from a single wireles…
What Language Does and What the Evidence Supports: A Functional Role Taxonomy and Evidence Audit of Language Grounding in Embodied Agents
Yifan Guo, Chenghao Li, Zhu Wang +6
Foundation models place language throughout embodied agents, but its presence does not show what it contributes or how well that contribution is grounded. This survey separates the…
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…
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…
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…
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…
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…
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…
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Yan Liu, Bin Guo, Nuo Li +3
Artificial Intelligence of Things (AIoT) is an emerging frontier based on the deep fusion of Internet of Things (IoT) and Artificial Intelligence (AI) technologies. Although advanc…
Transformer-based RGB-T Tracking with Channel and Spatial Feature Fusion
Yunfeng Li, Bo Wang, Ye Li
The main problem in RGB-T tracking is the correct and optimal merging of the cross-modal features of visible and thermal images. Some previous methods either do not fully exploit t…