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Yang Meng

2 accepted papers

2025

Transformers for Mixed-type Event Sequences

NeurIPS 2025spotlight

Event sequences appear widely in domains such as medicine, finance, and remote sensing, yet modeling them is challenging due to their heterogeneity: sequences often contain multiple event types with diverse structures—for example, electronic health records that mix discrete events like medical proce…

Cited by 0SourcecodeScholar
2024

Unity by Diversity: Improved Representation Learning for Multimodal VAEs

NeurIPS 2024poster

Variational Autoencoders for multimodal data hold promise for many tasks in data analysis, such as representation learning, conditional generation, and imputation. Current architectures either share the encoder output, decoder input, or both across modalities to learn a shared representation. Such…

Cited by 4SourcePDFScholar