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Ran Xu
Yue Yu
Joyce Ho
Carl Yang

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International ACM SIGIR Conference on Research and Development in Information Retrieval. Annual International ACMSIGIR Conference on Research & Development in Information Retrieval|February 14, 2024
Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage TrainingRan Xu, Yue Yu, Joyce Ho, et al.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|February 9, 2024
Neighborhood-Regularized Self-Training for Learning with Few LabelsRan Xu, Yue Yu, Hejie Cui, et al.
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|February 28, 2025
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health RecordsWenqi Shi, Ran Xu, Yuchen Zhuang, et al.
Proceedings of Machine Learning Research|May 31, 2023
Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHRRan Xu, Yue Yu, Chao Zhang, et al.
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|March 3, 2025
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical ReasoningWenqi Shi, Ran Xu, Yuchen Zhuang, et al.
Arxiv|June 19, 2023
R-Mixup: Riemannian Mixup for Biological NetworksXuan Kan, Zimu Li, Hejie Cui, et al.
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|February 12, 2024
R-Mixup: Riemannian Mixup for Biological NetworksXuan Kan, Zimu Li, Hejie Cui, et al.
Bulletin of the Technical Committee on Data Engineering|March 20, 2026
Knowledge Graph and Large Language Model Co-learning via Structure-oriented Retrieval Augmented GenerationCarl Yang, Ran Xu, Linhao Luo, et al.
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|March 2, 2026
BMRetriever: Tuning Large Language Models as Better Biomedical Text RetrieversRan Xu, Wenqi Shi, Yue Yu, et al.
Advances in Neural Information Processing Systems|August 12, 2024
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model PromptingHejie Cui, Xinyu Fang, Zihan Zhang, et al.
Pageof 335

Showing results (1-10 of 3,346) with videos related to

Sort By:
Pageof 335
International ACM SIGIR Conference on Research and Development in Information Retrieval. Annual International ACMSIGIR Conference on Research & Development in Information Retrieval|February 14, 2024
Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage TrainingRan Xu, Yue Yu, Joyce Ho, et al.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|February 9, 2024
Neighborhood-Regularized Self-Training for Learning with Few LabelsRan Xu, Yue Yu, Hejie Cui, et al.
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|February 28, 2025
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health RecordsWenqi Shi, Ran Xu, Yuchen Zhuang, et al.
Proceedings of Machine Learning Research|May 31, 2023
Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHRRan Xu, Yue Yu, Chao Zhang, et al.
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|March 3, 2025
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical ReasoningWenqi Shi, Ran Xu, Yuchen Zhuang, et al.
Arxiv|June 19, 2023
R-Mixup: Riemannian Mixup for Biological NetworksXuan Kan, Zimu Li, Hejie Cui, et al.
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|February 12, 2024
R-Mixup: Riemannian Mixup for Biological NetworksXuan Kan, Zimu Li, Hejie Cui, et al.
Bulletin of the Technical Committee on Data Engineering|March 20, 2026
Knowledge Graph and Large Language Model Co-learning via Structure-oriented Retrieval Augmented GenerationCarl Yang, Ran Xu, Linhao Luo, et al.
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|March 2, 2026
BMRetriever: Tuning Large Language Models as Better Biomedical Text RetrieversRan Xu, Wenqi Shi, Yue Yu, et al.
Advances in Neural Information Processing Systems|August 12, 2024
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model PromptingHejie Cui, Xinyu Fang, Zihan Zhang, et al.
Pageof 335