Yixuan Zhao — accepted AI-conference papers

2025

BGM: Demand Prediction for Expanding Bike-Sharing Systems with Dynamic Graph Modeling

Yixuan Zhao, Hongkai Wen, Xingchen Zhang, Man Luo

IJCAI 2025

Accurate demand prediction is crucial for the equitable and sustainable expansion of bike-sharing systems, which help reduce urban congestion, promote low-carbon mobility, and improve transportation access in underserved areas. However, expanding these systems presents societal challenges, particula

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2025

Semantic Exploration and Dense Mapping of Complex Environments Using Ground Robot With Panoramic LiDAR-Camera Fusion

Xiaoyang Zhan, Shixin Zhou, Qianqian Yang, Yixuan Zhao, Hao Liu, Srinivas Chowdary Ramineni +1

RA-L 2025

This paper presents a system for autonomous semantic exploration and dense semantic target mapping of a complex unknown environment using a ground robot equipped with a panoramic LiDAR-camera system. Existing approaches often struggle to strike a balance between collecting enough high-quality observ

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