Chuanjin Liu

2 accepted papers

2026

Adversarial Masked Graph Modeling for Robust Graph Autoencoders

Qiqi Zhang, Chuanjin Liu, Gen Liu, Chao Li, Zhongying Zhao

IJCAI 2026

Graph Masked AutoEncoders (GMAEs) have achieved notable success in diverse downstream tasks. However, their superior performance usually relies on reliable and unperturbed input graphs. In real-world scenarios, graphs are vulnerable to adversarial attacks (e.g., perturbations on node features or top

Cited by 0 Scholar ↗

2023

Learning Task-Aligned Local Features for Visual Localization

Chuanjin Liu, Hongmin Liu, Lixin Zhang, Hui Zeng, Lufeng Luo, Bin Fan

RA-L 2023

Visual localization plays a key role in various robot perception systems. Robust visual localization relies on reliable and repeatable local features to establish high quality point correspondences among images. This letter focuses on addressing two limitations of joint learning detector and descrip

Cited by 2 Source ↗Scholar ↗