Linbo Zhu
Orcid: 0009-0003-6036-5095
According to our database1,
Linbo Zhu
authored at least 18 papers
between 2023 and 2025.
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Bibliography
2025
Lbgcn: Lightweight bilinear graph convolutional network with attention mechanism for recommendation.
Appl. Intell., April, 2025
A three-stage bearing transfer fault diagnosis method for large domain shift scenarios.
Reliab. Eng. Syst. Saf., 2025
Practicing in quiz, assessing in quiz: A quiz-based neural network approach for knowledge tracing.
Neural Networks, 2025
Intra-domain self generalization network for intelligent fault diagnosis of bearings under unseen working conditions.
Adv. Eng. Informatics, 2025
A dual-perspective joint domain generalization network for bearing fault diagnosis under unseen working conditions.
Adv. Eng. Informatics, 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
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Expert Syst. Appl., March, 2024
Semi-supervised small sample fault diagnosis under a wide range of speed variation conditions based on uncertainty analysis.
Reliab. Eng. Syst. Saf., February, 2024
Neural architecture search for multi-sensor information fusion-based intelligent fault diagnosis.
Adv. Eng. Informatics, 2024
Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm.
Proceedings of the ACM on Web Conference 2024, 2024
Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023