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Carl Yang

Showing results (41-50 of 75) with videos related to

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Computational and Structural Biotechnology Journal|August 22, 2024
Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancerRui Yin, Hongru Zhao, Lu Li, et al.
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|February 9, 2024
When to Pre-Train Graph Neural Networks? From Data Generation Perspective!Yuxuan Cao, Jiarong Xu, Carl Yang, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 23, 2026
KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMsYuzhang Xie, Hejie Cui, Ziyang Zhang, 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.
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|March 20, 2026
A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and HealthcareRan Xu, Patrick Jiang, Linhao Luo, et al.
Advances in Neural Information Processing Systems|February 28, 2025
Biomedical Visual Instruction Tuning with Clinician Preference AlignmentHejie Cui, Lingjun Mao, Xin Liang, et al.
Circulation. Cardiovascular Imaging|December 11, 2023
Fusion Modeling: Combining Clinical and Imaging Data to Advance Cardiac CareMarly van Assen, Amara Tariq, Alexander C Razavi, et al.
Biorxiv : the Preprint Server for Biology|April 25, 2024
Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancerRui Yin, Hongru Zhao, Lu Li, et al.
Proceedings of Machine Learning Research|March 5, 2025
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHRRan Xu, Yiwen Lu, Chang Liu, 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.
Pageof 8

Showing results (41-50 of 75) with videos related to

Sort By:
Pageof 8
Computational and Structural Biotechnology Journal|August 22, 2024
Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancerRui Yin, Hongru Zhao, Lu Li, et al.
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|February 9, 2024
When to Pre-Train Graph Neural Networks? From Data Generation Perspective!Yuxuan Cao, Jiarong Xu, Carl Yang, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 23, 2026
KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMsYuzhang Xie, Hejie Cui, Ziyang Zhang, 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.
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|March 20, 2026
A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and HealthcareRan Xu, Patrick Jiang, Linhao Luo, et al.
Advances in Neural Information Processing Systems|February 28, 2025
Biomedical Visual Instruction Tuning with Clinician Preference AlignmentHejie Cui, Lingjun Mao, Xin Liang, et al.
Circulation. Cardiovascular Imaging|December 11, 2023
Fusion Modeling: Combining Clinical and Imaging Data to Advance Cardiac CareMarly van Assen, Amara Tariq, Alexander C Razavi, et al.
Biorxiv : the Preprint Server for Biology|April 25, 2024
Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancerRui Yin, Hongru Zhao, Lu Li, et al.
Proceedings of Machine Learning Research|March 5, 2025
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHRRan Xu, Yiwen Lu, Chang Liu, 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.
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