Jialong Zhang — accepted AI-conference papers

2026

xMHashSeg: Cross-modal Hash Learning for Training-free Unsupervised LiDAR Semantic Segmentation

Jialong Zhang, Yachao Zhang, Yao Wu, Jiangming Shi, Fangyong Wang, Yanyun Qu

AAAI 2026technical

3D semantic segmentation serves as a fundamental component in many applications, such as autonomous driving and medical image analysis. Although recent methods have advanced the field, adapting these methods to new environments or object categories without extensive retraining remains a significant

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2025

MuSCLe-Reg: Multi-Scale Contextual Embedding and Local Correspondence Rectification for Robust Two-Stage Point Cloud Registration

Yangyang Zhang, Jialong Zhang, Xiaolong Qian, Yi Cen, Bowen Zhang, Jun Gong

RA-L 2025

Algorithm of outlier removal for learning-based 3D point cloud registration is usually regarded as a classification problem. The core for this to be successful is to learn the discriminative inlier/outlier feature representations. This letter proposes a two-stage efficient network (MuSCLe-Reg) with

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