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Feng Xia

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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...

Ming-Liang Hou, Zi-Tao Liu, Ren-Qiang Luo et al. · 1 citation
Book Open access Aug 2026

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

This work proposes a Protein sequence–structure–function Consistency Design model empowered by Natural Language function description, dubbed ProtcdNl, which expands the protein design space and ensures alignment with function-aware framework, achieving the design of novel, diverse proteins with high functional fidelity...

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

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