Zhengxi Lu

Orcid: 0009-0006-3454-178X

According to our database1, Zhengxi Lu authored at least 25 papers between 2025 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
GUI-CIDER: Mid-training GUI Agents via Causal Internalization and Density-aware Exemplar Reselection.
CoRR, May, 2026

Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles.
CoRR, May, 2026

Self-Distilled Agentic Reinforcement Learning.
CoRR, May, 2026

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning.
CoRR, May, 2026

UI-Zoomer: Uncertainty-Driven Adaptive Zoom-In for GUI Grounding.
CoRR, April, 2026

KnowU-Bench: Towards Interactive, Proactive, and Personalized Mobile Agent Evaluation.
CoRR, April, 2026

SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization.
CoRR, April, 2026

Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning.
CoRR, March, 2026

MemGUI-Bench: Benchmarking Memory of Mobile GUI Agents in Dynamic Environments.
CoRR, February, 2026

FS-SFF: A domain-knowledge driven framework based on deep learning for 3D metrology of aero-engine cooling holes.
Expert Syst. Appl., 2026

MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Experience-driven Multi-turn Reinforcement Learning for GUI Agents.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

UI-Copilot: Advancing Long-Horizon GUI Automation via Tool-Integrated Policy Optimization.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

GUI-G²: Gaussian Reward Modeling for GUI Grounding.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Test-Time Reinforcement Learning for GUI Grounding via Region Consistency.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
M<sup>3</sup>-Verse: A "Spot the Difference" Challenge for Large Multimodal Models.
CoRR, December, 2025

UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning.
CoRR, September, 2025

MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents.
CoRR, September, 2025

Mobile-Agent-v3: Fundamental Agents for GUI Automation.
CoRR, August, 2025

GUI-G<sup>2</sup>: Gaussian Reward Modeling for GUI Grounding.
CoRR, July, 2025

ProtPainter: Draw or Drag Protein via Topology-guided Diffusion.
CoRR, April, 2025

UI-R1: Enhancing Action Prediction of GUI Agents by Reinforcement Learning.
CoRR, March, 2025

LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects.
Trans. Mach. Learn. Res., 2025

ProtPainter: Draw or Drag Protein via Topology-guided Diffusion.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025


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