Lin Yue — accepted AI-conference papers

2026

Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Survey

Liangwei Zheng, Wei Emma Zhang, Olaf Maennel, Lin Yue, Weitong Chen

IJCAI 2026

Mixture-of-Experts (MoE) presents a naturally compatible and scalable framework for multimodal learning, demonstrating strong adaptability across diverse modalities and tasks. Despite its growing success, a comprehensive and systematic evaluation of multimodal MoE remains lacking. Existing surveys t

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2021

Self-Supervised Adversarial Distribution Regularization for Medication Recommendation

Yanda Wang, Weitong Chen, Dechang PI, Lin Yue, Sen Wang, Miao Xu

IJCAI 2021poster

Medication recommendation is a significant healthcare application due to its promise in effectively prescribing medications. Avoiding fatal side effects related to Drug-Drug Interaction (DDI) is among the critical challenges. Most existing methods try to mitigate the problem by providing models with…

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