2 papers
cs.LG2025
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution
Songran Bai, Yuheng Ji, Yue Liu +3
Spatiotemporal Graph Learning (SGL) under Zero-Inflated Distribution (ZID) is crucial for urban risk management tasks, including crime prediction and traffic accident profiling. Ho…
cs.CV2025
Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation
Yuheng Ji, Yue Liu, Zhicheng Zhang +6
Vision-Language Models (VLMs) play a crucial role in the advancement of Artificial General Intelligence (AGI). As AGI rapidly evolves, addressing security concerns has emerged as o…