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Sep 2026

MoC-KT: Mixture of Convolutions for Knowledge Tracing

Knowledge tracing (KT) aims to predict learners’ mastery levels of knowledge components (KCs) or test items based on their interaction records with educational content. Despite significant advancements in KT models, such as RNN-based sequence models and Transformer-based attention models, a critical limitation persists...

Mingliang Hou, Zitao Liu, Ren-Qiang Luo et al. · 0 citations
Book Open access Aug 2026

Natural Language-Powered Functional Protein Sequence and Structure Co-Design with Multi-Modal Knowledge Fusion

De novo protein design is pivotal for revolutionizing protein engineering and advancing life sciences. Protein co-design aims to simultaneously create a novel protein sequence and structure with tailored functions, addressing the insufficient consistency between sequence and structure of two-stage design. Current AI-as...

Ming Yang, Xin Zheng, Yi Li et al. · 0 citations

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