Junyu Lu

According to our database, Junyu Lu authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LLM-EPSP: Large language model empowered early prediction of student performance.

Huawei Zhou, Shuanghong Shen, Yu Su, Yongchun Miao, Qi Liu, Linbo Zhu, Junyu Lu, Zhenya Huang

Inf. Process. Manag., 2026

2025

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

Shuanghong Shen, Qi Liu, Zhenya Huang, Linbo Zhu, Junyu Lu, Kai Zhang

Neural Networks, 2025

SUMMR: A Unified Multimodal Representation Framework for Songs.

Lei Ye, Bing Shen, Yu Su, Xiao Chen, Yi Gong, Yifei Zhou, Junyu Lu

Int. J. Pattern Recognit. Artif. Intell., 2025

Semantic distillation and enhanced diagnostic alignment: A novel approach for depression detection in social media.

Yu Su, Xiangyu Zheng, Junyu Lu, Yi Gong, Qijuan Gao, Shuanghong Shen, Qi Liu

Expert Syst. Appl., 2025

STHKT: Spatiotemporal Knowledge Tracing with Topological Hawkes Process.

Shuting Li, Shuanghong Shen, Yu Su, Xinjie Sun, Junyu Lu, Qi Mo, Zhenyi Wu, Qi Liu

Expert Syst. Appl., 2025

Intelligent Interaction Platform for Personalized Digital Tutor: Advancing Empathetic and Adaptive Learning Experiences.

Kai Zhang, Weiyin Gong, Qi Liu, Junyu Lu, Meikai Bao, Xukai Liu, Linbo Zhu, Enhong Chen

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.

Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

WDMIR: Wavelet-Driven Multimodal Intent Recognition.

Weiyin Gong, Kai Zhang, Yanghai Zhang, Qi Liu, Xinjie Sun, Junyu Lu, Linbo Zhu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Memory and Time: A Psychology-Informed Depression Detection.

Xiangyu Zheng, Junyu Lu, Qingtao Cheng, Yu Su

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval.

Heng Yu, Junfeng Kang, Rui Li, Qi Liu, Liyang He, Zhenya Huang, Shuanghong Shen, Junyu Lu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

GenAL: Generative Agent for Adaptive Learning.

Rui Lv, Qi Liu, Weibo Gao, Haotian Zhang, Junyu Lu, Linbo Zhu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

VERSE: Verification-based Self-Play for Code Instructions.

Hao Jiang, Qi Liu, Rui Li, Yuze Zhao, Yixiao Ma, Shengyu Ye, Junyu Lu, Yu Su

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Multi-task Information Enhancement Recommendation model for educational Self-Directed Learning System.

Yu Su, Xuejie Yang, Junyu Lu, Yu Liu, Ze Han, Shuanghong Shen, Zhenya Huang, Qi Liu

Expert Syst. Appl., 2024

Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models.

Rui Li, Qi Liu, Liyang He, Zheng Zhang, Hao Zhang, Shengyu Ye, Junyu Lu, Zhenya Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Unlocking the Potential of Large Language Models for Explainable Recommendations.

Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2024

Modeling Learning Transfer Effects in Knowledge Tracing: A Dynamic and Bidirectional Perspective.

Weizhe Huang, Shuanghong Shen, Zhenya Huang, Qi Liu, Junyu Lu, Yu Su

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Unlocking the Potential of Large Language Models for Explainable Recommendations.

Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Qi Liu, Enhong Chen

CoRR, 2023