Yijing Wang — accepted AI-conference papers

2026

ID-Splat: Propagating Object Identities for Segmenting 3D Aerial-view Scenes

Yijing Wang, Xu Tang, Xiangrong Zhang, Jingjing Ma

AAAI 2026technical

High-resolution Earth Observation technologies present unprecedented opportunities for geospatial analysis, yet traditional 2D aerial-view semantic segmentation remains limited by its inability to model spatial relationships and handle object occlusions. While 3D Aerial-view Segmentation (3DAS) has

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2025

From Learning to Mastery: Achieving Safe and Efficient Real-World Autonomous Driving with Human-in-the-Loop Reinforcement Learning

Zeqiao Li, Yijing Wang, Haoyu Wang, Zheng Li, Peng Li, Wenfei Liu +1

IROS 2025

Autonomous driving with reinforcement learning (RL) has significant potential. However, applying RL in real-world settings remains challenging due to the need for safe, efficient, and robust learning. Incorporating human expertise into the learning process can help overcome these challenges by reduc

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