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Yulian Ding

Showing results (1-10 of 24) with videos related to

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International Journal of Environmental Research and Public Health|April 30, 2021
The Impact of Dietary Knowledge on Health: Evidence from the China Health and Nutrition SurveyYangyang Sun, Daxin Dong, Yulian Ding
Briefings in Bioinformatics|March 24, 2022
MLRDFM: a multi-view Laplacian regularized DeepFM model for predicting miRNA-disease associationsYulian Ding, Xiujuan Lei, Bo Liao, et al.
Briefings in Functional Genomics|February 8, 2021
Machine learning approaches for predicting biomolecule-disease associationsYulian Ding, Xiujuan Lei, Bo Liao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 5, 2023
Biomarker Identification via a Factorization Machine-Based Neural Network With Binary Pairwise EncodingYulian Ding, Xiujuan Lei, Bo Liao, et al.
IEEE Journal of Biomedical and Health Informatics|June 10, 2021
Predicting miRNA-Disease Associations Based On Multi-View Variational Graph Auto-Encoder With Matrix FactorizationYulian Ding, Xiujuan Lei, Bo Liao, et al.
Frontiers in Genetics|February 15, 2019
deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural NetworksPing Luo, Yulian Ding, Xiujuan Lei, et al.
Briefings in Bioinformatics|February 16, 2026
DTAP: a unified graph transformer framework for joint prediction of drug-target affinity and docking poseJunxi Liu, Yulian Ding, Yan Yan, et al.
Plos One|December 26, 2024
How does habit strength affect reactions to warning labels? evidence from Chinese consumers' choices of carbonated beveragesYulian Ding, Yue Yang, Yangyang Sun, et al.
Chinese Journal of Natural Medicines|November 19, 2025
Advances in small molecule representations and AI-driven drug research: bridging the gap between theory and applicationJunxi Liu, Shan Chang, Qingtian Deng, et al.
IEEE Journal of Biomedical and Health Informatics|March 27, 2026
Reinforcement Learning-enhanced Dual-view GAT-based Multi-task Learning for Non-coding RNA-Disease Association PredictionKeichin Ng, Yulian Ding, Yanjie Wei, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
International Journal of Environmental Research and Public Health|April 30, 2021
The Impact of Dietary Knowledge on Health: Evidence from the China Health and Nutrition SurveyYangyang Sun, Daxin Dong, Yulian Ding
Briefings in Bioinformatics|March 24, 2022
MLRDFM: a multi-view Laplacian regularized DeepFM model for predicting miRNA-disease associationsYulian Ding, Xiujuan Lei, Bo Liao, et al.
Briefings in Functional Genomics|February 8, 2021
Machine learning approaches for predicting biomolecule-disease associationsYulian Ding, Xiujuan Lei, Bo Liao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 5, 2023
Biomarker Identification via a Factorization Machine-Based Neural Network With Binary Pairwise EncodingYulian Ding, Xiujuan Lei, Bo Liao, et al.
IEEE Journal of Biomedical and Health Informatics|June 10, 2021
Predicting miRNA-Disease Associations Based On Multi-View Variational Graph Auto-Encoder With Matrix FactorizationYulian Ding, Xiujuan Lei, Bo Liao, et al.
Frontiers in Genetics|February 15, 2019
deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural NetworksPing Luo, Yulian Ding, Xiujuan Lei, et al.
Briefings in Bioinformatics|February 16, 2026
DTAP: a unified graph transformer framework for joint prediction of drug-target affinity and docking poseJunxi Liu, Yulian Ding, Yan Yan, et al.
Plos One|December 26, 2024
How does habit strength affect reactions to warning labels? evidence from Chinese consumers' choices of carbonated beveragesYulian Ding, Yue Yang, Yangyang Sun, et al.
Chinese Journal of Natural Medicines|November 19, 2025
Advances in small molecule representations and AI-driven drug research: bridging the gap between theory and applicationJunxi Liu, Shan Chang, Qingtian Deng, et al.
IEEE Journal of Biomedical and Health Informatics|March 27, 2026
Reinforcement Learning-enhanced Dual-view GAT-based Multi-task Learning for Non-coding RNA-Disease Association PredictionKeichin Ng, Yulian Ding, Yanjie Wei, et al.
Pageof 3