Chuan Chen

Multi-View Clustering from the Perspective of Mutual Information

2023 · arXiv (Cornell University)

Exploring the complementary information of multi-view data to improve clustering effects is a crucial issue in multi-view clustering. In this paper, we propose a novel model based on information theory termed Informative Multi-View Clustering (IMVC), …

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information

2024 · arXiv (Cornell University)

Real-world recommendation systems commonly offer diverse content scenarios for users to interact with. Considering the enormous number of users in industrial platforms, it is infeasible to utilize a single unified recommendation model to meet the …

Federated Domain Generalization with Decision Insight Matrix

2025

Federated domain generalization addresses the crucial challenge of developing models that can generalize across diverse domains while maintaining data privacy in federated learning settings. Current approaches either compromise privacy constraints or focus narrowly on specific …