Junyu Lu

Orcid: 0009-0008-0574-9519

According to our database1, Junyu Lu authored at least 16 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2026
LLM-EPSP: Large language model empowered early prediction of student performance.
Inf. Process. Manag., 2026

2025
Practicing in quiz, assessing in quiz: A quiz-based neural network approach for knowledge tracing.
Neural Networks, 2025

Semantic distillation and enhanced diagnostic alignment: A novel approach for depression detection in social media.
Expert Syst. Appl., 2025

STHKT: Spatiotemporal Knowledge Tracing with Topological Hawkes Process.
Expert Syst. Appl., 2025

Intelligent Interaction Platform for Personalized Digital Tutor: Advancing Empathetic and Adaptive Learning Experiences.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

WDMIR: Wavelet-Driven Multimodal Intent Recognition.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Memory and Time: A Psychology-Informed Depression Detection.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

GenAL: Generative Agent for Adaptive Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

VERSE: Verification-based Self-Play for Code Instructions.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Multi-task Information Enhancement Recommendation model for educational Self-Directed Learning System.
Expert Syst. Appl., 2024

Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Unlocking the Potential of Large Language Models for Explainable Recommendations.
Proceedings of the Database Systems for Advanced Applications, 2024

Modeling Learning Transfer Effects in Knowledge Tracing: A Dynamic and Bidirectional Perspective.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
Unlocking the Potential of Large Language Models for Explainable Recommendations.
CoRR, 2023


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