Zhiyi Duan
Orcid: 0000-0003-4650-2148
According to our database1,
Zhiyi Duan authored at least 20 papers
between 2017 and 2026.
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Bibliography
2026
RAG-KT: Cross-platform Explainable Knowledge Tracing with Multi-view Fusion Retrieval Generation.
CoRR, April, 2026
MAGE-KT: Multi-Agent Graph-Enhanced Knowledge Tracing with Subgraph Retrieval and Asymmetric Fusion.
CoRR, January, 2026
MicroC-KT: Modeling Community Effect via Learning Micro-Environment for Evidence-Grounded Explainable Knowledge Tracing.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
Advancing Multimodal Teacher Sentiment Analysis: The Large-Scale T-MED Dataset & the Effective AAM-TSA Model.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
HISE-KT: Synergizing Heterogeneous Information Networks and LLMs for Explainable Knowledge Tracing with Meta-Path Optimization.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Advancing Multimodal Teacher Sentiment Analysis:The Large-Scale T-MED Dataset & The Effective AAM-TSA Model.
CoRR, December, 2025
DKFM: a novel data and knowledge fusion-driven model for difficulty prediction of mathematical exercise.
Knowl. Inf. Syst., August, 2025
ADAC: Actor-Double-Attention-Critic for Multi-Agent Cooperation in Mixed Cooperative-Competitive Environments.
IEEE Trans. Intell. Transp. Syst., July, 2025
2024
EBERT: A lightweight expression-enhanced large-scale pre-trained language model for mathematics education.
Knowl. Based Syst., 2024
Towards more accurate and interpretable model: Fusing multiple knowledge relations into deep knowledge tracing.
Expert Syst. Appl., 2024
Modeling Balanced Explicit and Implicit Relations with Contrastive Learning for Knowledge Concept Recommendation in MOOCs.
Proceedings of the ACM on Web Conference 2024, 2024
2020
Knowl. Based Syst., 2020
Intell. Data Anal., 2020
2019
Discriminatory Target Learning: Mining Significant Dependence Relationships from Labeled and Unlabeled Data.
Entropy, 2019
Optimizing the Topology of Bayesian Network Classifiers by Applying Conditional Entropy to Mine Causal Relationships Between Attributes.
IEEE Access, 2019
Robust Structure Learning of Bayesian Network by Identifying Significant Dependencies.
IEEE Access, 2019
Model Matching: A Novel Framework to use Clustering Strategy to Solve the Classification Problem.
IEEE Access, 2019
2017