Xiang Wang

SELECTOR utilizes diverse data to predict cancer patient survival accurately.

Diff-Mix improves image classification by creating diverse synthetic data.

CIRP enhances item representation for better online product bundling.

A new approach uses LLMs to enhance user recommendations effectively.

A new approach enhances SNNs by converting ANNs effectively.

Softmax-DPO introduces negative samples for better user preference alignment in recommendations.

DisMAE enhances model generalization across domains using unlabeled data.

A new method improves recommendation systems by creating personalized prompts for users.

InfoIGL enhances graph neural networks' performance in varied data environments.

Easily create personalized videos reflecting individual identities with advanced technology.

Uncovering the hidden tricks behind online interactions.

A new model improves online recommendations by capturing complex user-item connections.