Longhui Ma — accepted AI-conference papers

2026

Trifuse: Enhancing Attention-Based GUI Grounding via Multimodal Fusion

Longhui Ma, Di Zhao, Siwei Wang, Zhao Lv, Miao Wang

ICML 2026poster

GUI grounding maps natural language instructions to the correct interface elements, serving as the perception foundation for GUI agents. Existing approaches predominantly rely on fine-tuning multimodal large language models (MLLMs) using large-scale GUI datasets to predict target element coordinates…

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2025

COLA: Collaborative Multi-Agent Framework with Dynamic Task Scheduling for GUI Automation

Di Zhao, Longhui Ma, Siwei Wang, Miao Wang, Zhao Lv

EMNLP 2025

With the rapid advancements in Large Language Models (LLMs), an increasing number of studies have leveraged LLMs as the cognitive core of agents to address complex task decision-making challenges. Specially, recent research has demonstrated the potential of LLM-based agents on automating GUI operati

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