Kounianhua Du
Orcid: 0000-0002-2611-5055
According to our database1,
Kounianhua Du
authored at least 17 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation.
CoRR, 2024
ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation.
CoRR, 2024
CoRR, 2024
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation.
CoRR, 2024
CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation.
CoRR, 2024
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
CoRR, 2023
2022
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.
ACM Trans. Inf. Syst., 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2020
Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.
CoRR, 2020
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020