RankUp raises effective rank of representations in deep MetaFormer recommenders via randomized splitting and multi-embeddings, delivering 2-5% GMV gains in production deployments at Weixin.
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CrossWeaver introduces MIB and SAF modules to enable flexible, reliability-aware cross-modal interaction and fusion, achieving SOTA multimodal semantic segmentation with minimal parameters and generalization to unseen modality sets.
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RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems
RankUp raises effective rank of representations in deep MetaFormer recommenders via randomized splitting and multi-embeddings, delivering 2-5% GMV gains in production deployments at Weixin.
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CrossWeaver: Cross-modal Weaving for Arbitrary-Modality Semantic Segmentation
CrossWeaver introduces MIB and SAF modules to enable flexible, reliability-aware cross-modal interaction and fusion, achieving SOTA multimodal semantic segmentation with minimal parameters and generalization to unseen modality sets.