collaborators

9 papers

cs.AI2026

CoAdapt-GUI: Joint Workflow Context and Policy Adaptation for Unseen GUI Applications

Linqiang Guo, Li Gu, Zihuan Jiang +8

Mobile GUI agents remain brittle when deployed to applications absent from source training. We study novel-app generalization under a limited target interaction budget and without…

cs.CV2026

DA-MergeLoRA: Hypernetwork-Based LoRA Merging for Few-Shot Test-Time Domain Adaptation

Siobhan Reid, Zhixiang Chi, Li Gu +3

Few-shot Test-Time Domain Adaptation (FSTT-DA) seeks to adapt models to novel domains using only a handful of unlabeled target samples. This setting is more realistic than typical…

cs.SE2026

Beyond the GUI Paradigm: Do Mobile Agents Need the Phone Screen?

Li Gu, Zihuan Jiang, Linqiang Guo +6

Recent advances in mobile agents are dominated by the GUI paradigm, in which agents perceive UI information and emit screen interactions. However, mobile platforms also expose a co…

cs.CV2026

Widget2Code: From Visual Widgets to UI Code via Multimodal LLMs

Houston H. Zhang, Tao Zhang, Baoze Lin +10

User interface to code (UI2Code) aims to generate executable code that can faithfully reconstruct a given input UI. Prior work focuses largely on web pages and mobile screens, leav…

cs.CV2026

Generalization in Online Reinforcement Learning for Mobile Agents

Li Gu, Zihuan Jiang, Zhixiang Chi +5

Graphical user interface (GUI)-based mobile agents automate digital tasks on mobile devices by interpreting natural-language instructions and interacting with the screen. While rec…

cs.CV2025

PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion

Linlian Jiang, Rui Ma, Li Gu +3

Point cloud completion is essential for robust 3D perception in safety-critical applications such as robotics and augmented reality. However, existing models perform static inferen…