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20212026
most citedEdge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey

52 citations · 73 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2026

QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks

Yao Du, Jing Liu, Pengfei Xu +4

In agentic systems, human-generated data records anchor the value of AI services. Yet cloud compute pipelines centralize processing on remote servers. Data centralization reduces p…

cs.CV2026

Diffusion-Guided Semantic Consistency for Multimodal Heterogeneity

Jing Liu, Zhengliang Guo, Yan Wang +4

Federated learning (FL) is severely challenged by non-independent and identically distributed (non-IID) client data, a problem that degrades global model performance, especially in…

cs.AI2026

Proactive Rejection and Grounded Execution: A Dual-Stage Intent Analysis Paradigm for Safe and Efficient AIoT Smart Homes

Xinxin Jin, Zhengwei Ni, Zhengguo Sheng +1

As Large Language Models (LLMs) transition from information providers to embodied agents in the Internet of Things (IoT), they face significant challenges regarding reliability and…

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.DC2025★ 52 cited

Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey

Jing Liu, Yao Du, Kun Yang +8

Edge-cloud collaborative computing (ECCC) has emerged as a pivotal paradigm for addressing the computational demands of modern intelligent applications, integrating cloud resources…

cs.LG2025★ 3 cited

A Survey on Diffusion Models for Anomaly Detection

Jing Liu, Zhenchao Ma, Zepu Wang +7

Diffusion models (DMs) have emerged as a powerful class of generative AI models, showing remarkable potential in anomaly detection (AD) tasks across various domains, such as cybers…

cs.CV2024★ 5 cited

Networking Systems for Video Anomaly Detection: A Tutorial and Survey

Jing Liu, Yang Liu, Jieyu Lin +7

The increasing utilization of surveillance cameras in smart cities, coupled with the surge of online video applications, has heightened concerns regarding public security and priva…

cs.NI2021★ 13 cited

Blockchain-empowered Data-driven Networks: A Survey and Outlook

Xi Li, Zehua Wang, Victor C. M. Leung +3

The paths leading to future networks are pointing towards a data-driven paradigm to better cater to the explosive growth of mobile services as well as the increasing heterogeneity…