activity
20242026
most citedTRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans

1 citations · 1 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CL2026

SafePred: A Predictive Guardrail for Computer-Using Agents via World Models

Yurun Chen, Zeyi Liao, Ping Yin +3

With the widespread deployment of Computer-using Agents (CUAs) in complex real-world environments, prevalent long-term risks often lead to severe and irreversible consequences. Mos…

cs.AI2025

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use

Xueyu Hu, Tao Xiong, Biao Yi +26

The dream to create AI assistants as capable and versatile as the fictional J.A.R.V.I.S from Iron Man has long captivated imaginations. With the evolution of (multi-modal) large la…

cs.CL2025

HarmonyGuard: Toward Safety and Utility in Web Agents via Adaptive Policy Enhancement and Dual-Objective Optimization

Yurun Chen, Xavier Hu, Yuhan Liu +4

Large language models enable agents to autonomously perform tasks in open web environments. However, as hidden threats within the web evolve, web agents face the challenge of balan…

cs.GR20251 cited

TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans

Yueqian Guo, Tianzhao Li, Xin Lyu +7

Large Language Model (LLM)-driven digital humans have sparked a series of recent studies on co-speech gesture generation systems. However, existing approaches struggle with real-ti…

cs.AI2025

EcoAgent: An Efficient Device-Cloud Collaborative Multi-Agent Framework for Mobile Automation

Biao Yi, Xavier Hu, Yurun Chen +3

To tackle increasingly complex tasks, recent research on mobile agents has shifted towards multi-agent collaboration. Current mobile multi-agent systems are primarily deployed in t…

cs.CV2025

ARMO: Autoregressive Rigging for Multi-Category Objects

Mingze Sun, Shiwei Mao, Keyi Chen +5

Recent advancements in large-scale generative models have significantly improved the quality and diversity of 3D shape generation. However, most existing methods focus primarily on…