Xiaoshan Yu

Orcid: 0000-0003-3728-6914

Affiliations:
  • Anhui University (AHU), School of Artificial Intelligence, Hefei, China


According to our database1, Xiaoshan Yu authored at least 9 papers between 2023 and 2024.

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

Timeline

2023
2024
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2
3
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8
3
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2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer.
IEEE Trans. Knowl. Data Eng., July, 2024

DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation.
CoRR, 2024

Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks.
CoRR, 2024

HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection.
Proceedings of the ACM on Web Conference 2024, 2024

DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023


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