activity
20202026
most citedFedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning

16 citations · 30 across the 11 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

cs.MA2025

ColorAgent: Building A Robust, Personalized, and Interactive OS Agent

Ning Li, Qiqiang Lin, Zheng Wu +19

With the advancements in hardware, software, and large language model technologies, the interaction between humans and operating systems has evolved from the command-line interface…

cs.AI2025

ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks

Yuanyi Song, Heyuan Huang, Qiqiang Lin +9

The rapid advancement of multimodal large language models has enabled agents to operate mobile devices by directly interacting with graphical user interfaces, opening new possibili…

cs.CL2025

VeriOS: Query-Driven Proactive Human-Agent-GUI Interaction for Trustworthy OS Agents

Zheng Wu, Heyuan Huang, Xingyu Lou +8

With the rapid progress of multimodal large language models, operating system (OS) agents become increasingly capable of automating tasks through on-device graphical user interface…

cs.RO2025

MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation

Ning Li, Xiangmou Qu, Jiamu Zhou +6

Recent advances in Multimodal Large Language Models (MLLMs) have enabled the development of mobile agents that can understand visual inputs and follow user instructions, unlocking…

cs.LG2025★ 16 cited

FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning

Yanbing Zhou, Xiangmou Qu, Chenlong You +5

Prototype-based federated learning has emerged as a promising approach that shares lightweight prototypes to transfer knowledge among clients with data heterogeneity in a model-agn…