Weixi Zhang — accepted AI-conference papers

2026

AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection

Bin-Bin Gao, Yue Zhou, Jiangtao Yan, Yuezhi Cai, Weixi Zhang, Meng Wang +4

AAAI 2026technical

Universal visual anomaly detection aims to identify anomalies from novel or unseen vision domains without additional fine-tuning, which is critical in open scenarios. Recent studies have demonstrated that pre-trained vision-language models like CLIP exhibit strong generalization with just zero or a

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2026

FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space

Jiahong Liu, Ram Samarth B B, Xinyu Fu, Menglin Yang, Weixi Zhang, ZHITAO YING +1

ICML 2026oral

Personalization has become a pivotal field of study in contemporary intelligent systems. While large language models (LLMs) excel at general knowledge tasks, they often struggle with personalization, i.e., adapting their outputs to individual user expectations. Existing approaches that steer LLM beh…

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