Sannyuya Liu

Enhancing Knowledge Tracing with Multi-hierarchy Hypergraph Adaptive Knowledge Transfer

Sannyuya Liu, Xin Yuan, Tianyu Wei, Jieyu Yue et autres

Knowledge tracing aims to model learners’ cognitive state dynamically from interaction sequences to support personalized instructional decisions. While existing methods achieve good prediction accuracy, they often overlook the transfer effects between knowledge concepts (KCs) and their propagation, limiting fine-grained, structured modeling of …

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Mitigating orthographic interference: Exploring the combined effects of L2 interlexical similarities on vocabulary memory with big data

Sannyuya Liu, Yuxi Zhang, Sitian Zhou, Xiaoxuan Shen et autres

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A two-stage symbolic regression method for discovering mathematical formulas

Zeyu Zeng, Xicheng Peng, Mao Chen, Sannyuya Liu

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Large language model augmented multi-task learning network with inter-clause modeling for emotion-cause pair extraction

Zhi Liu, Chaodong Wen, Dong Li, Zili Fu et autres

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Heuristic strategies for geometry theorem extension based on complex number identity*

Xicheng Peng, Jingzhong Zhang, Mao Chen, Sannyuya Liu

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An Optimized Quantification Algorithm for Lossy Compression Based on P-Ldpc Codes

Xinfeng Wu, Sannyuya Liu, Qiwang Chen, Jiangli Zeng

Efficient compression conserves resources and minimizes consumption, making lossy source coding a focal point due to its high compression efficiency. This paper investigates the quantization algorithm at the encoding end of protograph lowdensity parity-check (P-LDPC) codes-based lossy source coding systems and proposes …

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Hypergraph Convolutional Networks for Course Recommendation in MOOCs

Zhu Su, Yafeng Li, Zhonghua Yan, Longfeng Zhao et autres

Mining learner preferences and needs from individual learning behavior data is a critical task in course recommendation systems. While graph-based models have shown efficacy in capturing pairwise relationships between learners and courses, they often overlook the complex higher-order interactions involving learners, courses …

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Probabilistic shaping of joint source-channel coding and modulation system based on SC-LDPC codes

Jichen He, Qiufang Lian, Sannyuya Liu, Shan Lu et autres

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VCR: A “Cone of Experience” Driven Synthetic Data Generation Framework for Mathematical Reasoning

Sannyuya Liu, Jintian Feng, Xiaoxuan Shen, Shengyingjie Liu et autres

Large language models (LLMs) have shown excellent performance in natural language processing but struggle with mathematical reasoning. As the training mode gradually solidifies, researchers propose a data-centric concept of artificial intelligence, emphasizing the development of higher-quality data to empower LLMs. Existing studies …

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Exploring the Interplay of Topic Complexity, Emotional Engagement, and Cognitive Engagement in MOOC Discussions: Using Deep Learning and Topic Modeling

Shiqi Liu, Sannyuya Liu, Xian Peng, Jianwen Sun et autres

Forum discussions in Massive Open Online Courses (MOOCs) play a crucial role in promoting learning engagement and academic achievement. In particular, discussion topics significantly influence learners’ emotional and cognitive engagement. However, the complex interrelationships among these factors remain underexplored. This study introduces …

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Ecological network analysis of attention flow in online learning: Insights into knowledge acquisition and dropout behaviors

Zhu Su, Zhongjun Shao, Zhi Liu, Yuxin Liu et autres

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Dual-view cross attention enhanced semi-supervised learning method for discourse cognitive engagement classification in online course discussions

Shiqi Liu, Weizheng Kong, Zhi Liu, Jianwen Sun et autres

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