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20242026
most citedEfficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge Deployment

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.GT2026

Toward a Sustainable Federated Learning Ecosystem: A Practical Least Core Mechanism for Payoff Allocation

Zhengwei Ni, Zhidu Li, Wei Chen +4

Emerging network paradigms and applications increasingly rely on federated learning (FL) to enable collaborative intelligence while preserving privacy. However, the sustainability…

cs.LG2025

FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning

Yuan Yao, Lixu Wang, Jiaqi Wu +7

Federated learning (FL) enables collaborative training across clients while preserving privacy. While most existing FL methods assume homogeneous model architectures, client hetero…

cs.NI2025

A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks

Jiaqi Wu, Jing Liu, Yang Liu +6

The proliferation of Internet of things (IoT) devices in smart cities, transportation, healthcare, and industrial applications, coupled with the explosive growth of AI-driven servi…

cs.CV2025

CLIP-Optimized Multimodal Image Enhancement via ISP-CNN Fusion for Coal Mine IoVT under Uneven Illumination

Shuai Wang, Shihao Zhang, Jiaqi Wu +7

Clear monitoring images are crucial for the safe operation of coal mine Internet of Video Things (IoVT) systems. However, low illumination and uneven brightness in underground envi…

cs.CV2024★ 1 cited

Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge Deployment

Jiaqi Wu, Shihao Zhang, Simin Chen +7

Edge computing has emerged as a key paradigm for deploying deep learning-based object detection in time-sensitive scenarios. However, existing edge detection methods face challenge…

cs.CL2024

FedDTPT: Federated Discrete and Transferable Prompt Tuning for Black-Box Large Language Models

Jiaqi Wu, Simin Chen, Yuzhe Yang +6

In recent years, large language models (LLMs) have significantly advanced the field of natural language processing (NLP). By fine-tuning LLMs with data from specific scenarios, the…

cs.CV2024

Task-Oriented Real-time Visual Inference for IoVT Systems: A Co-design Framework of Neural Networks and Edge Deployment

Jiaqi Wu, Simin Chen, Zehua Wang +4

As the volume of image data grows, data-oriented cloud computing in Internet of Video Things (IoVT) systems encounters latency issues. Task-oriented edge computing addresses this b…