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Zhaorui Zhang

2 accepted papers

2026

MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommender

AAAI 2026technical

Graph neural networks (GNNs) have revolutionized recommender systems by effectively modeling complex user-item interactions, yet data sparsity and the item cold-start problem significantly impair performance, particularly for new items with limited or no interaction history. While multimodal content

Cited by 0SourcePDFScholar
2024

FedFa: A Fully Asynchronous Training Paradigm for Federated Learning

IJCAI 2024poster

Federated learning has been identified as an efficient decentralized training paradigm for scaling the machine learning model training on a large number of devices while guaranteeing the data privacy of the trainers. FedAvg has become a foundational parameter update strategy for federated learning,…

Cited by 5SourcePDFScholar