Maonan Wang — accepted AI-conference papers

2026

InfoGeo: Information-Theoretic Object-Centric Learning for Cross-View Generalizable UAV Geo-Localization

Hongyang ZHANG, Maonan Wang, Ziyao Wang, Hongrui Yin, Simon Pun

ICML 2026poster

Cross-view geo-localization (CVGL) is fundamental for precise navigation in GPS-denied environments, aiming to match ground or UAV imagery with satellite views. While existing approaches rely on global feature alignment, they often suffer from substantial domain shifts induced by varying regional te…

Cited by 0 Source ↗Scholar ↗

2025

VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture

Maonan Wang, Yirong Chen, Aoyu Pang, Yuxin Cai, Chung Shue Chen, Yuheng KAN +1

NeurIPS 2025poster

Traffic signal control (TSC) is a core challenge in urban mobility, where real-time decisions must balance efficiency and safety. Existing methods—ranging from rule-based heuristics to reinforcement learning (RL)—often struggle to generalize to complex, dynamic, and safety-critical scenarios. We int…

Cited by 0 Source ↗Scholar ↗