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Fei Tang

14 papers hereh-index 6184 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author6

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG4
  • cs.AI2
  • cs.CL2
  • cs.HC1
  • cs.IR1
same name
  • Fei Tang — 9 papers, h 8
  • Fei Tang — 6 papers, h 3
  • Fei Tang — 3 papers, h 2
  • Fei Tang — 2 papers
  • Fei Tang — 2 papers, h 3
  • Fei Tang — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedA Survey on (M)LLM-Based GUI Agents

1 citations · 1 across the 12 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

UI-Copilot: Advancing Long-Horizon GUI Automation via Tool-Integrated Policy Optimization

Zhengxi Lu, Fei Tang, Guangyi Liu +8

MLLM-based GUI agents have demonstrated strong capabilities in complex user interface interaction tasks. However, long-horizon scenarios remain challenging, as these agents are bur…

cs.LG2026

ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents

Fei Tang, Zhiqiong Lu, Boxuan Zhang +4

GUI agents drive applications through their visual interfaces instead of programmatic APIs, interacting with arbitrary software via taps, swipes, and keystrokes, reaching a long ta…

cs.LG2025

UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning

Zhengxi Lu, Jiabo Ye, Fei Tang +8

Graphical User Interface (GUI) agents have demonstrated remarkable progress in automating complex user interface interactions through reinforcement learning. However, current appro…

cs.LG2025

GUI-G2: Gaussian Reward Modeling for GUI Grounding

Fei Tang, Zhangxuan Gu, Zhengxi Lu +9

Graphical User Interface (GUI) grounding maps natural language instructions to precise interface locations for autonomous interaction. Current reinforcement learning approaches use…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.