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Hongxin Xiang

Showing results (1-10 of 15) with videos related to

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Briefings in Bioinformatics|November 17, 2023
Chemical structure-aware molecular image representation learningHongxin Xiang, Shuting Jin, Xiangrong Liu, et al.
Briefings in Bioinformatics|August 12, 2024
Attribute-guided prototype network for few-shot molecular property predictionLinlin Hou, Hongxin Xiang, Xiangxiang Zeng, et al.
IEEE Journal of Biomedical and Health Informatics|March 2, 2026
ReMol: A Chemical Reaction Knowledge-guided Self-supervised Molecular Image Representation Learning FrameworkZhixiang Cheng, Hongxin Xiang, Mingquan Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 15, 2021
Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy RegularizationCheng Xie, Hongxin Xiang, Ting Zeng, et al.
Research Square|April 12, 2022
Accurate prediction of molecular targets using a self-supervised image representation learning frameworkXiangxiang Zeng, Hongxin Xiang, Linhui Yu, et al.
BMC Biology|July 2, 2025
GraphGIM: rethinking molecular graph contrastive learning via geometry image modelingChaoyi Li, Hongxin Xiang, Wenjie Du, et al.
Biomed Research International|October 21, 2020
Application of BERT to Enable Gene Classification Based on Clinical EvidenceYuhan Su, Hongxin Xiang, Haotian Xie, et al.
Communications Biology|October 31, 2024
A spatial hierarchical network learning framework for drug repositioning allowing interpretation from macro to micro scaleZhonghao Ren, Xiangxiang Zeng, Yizhen Lao, et al.
Interdisciplinary Sciences, Computational Life Sciences|May 26, 2026
Enabling Drug-Drug Interaction Event Prediction with Multi-view-enhanced Chemical Structural InformationGe Jin, Junlin Xu, Hongxin Xiang, et al.
BMC Biology|May 19, 2026
ITMol: a molecular image-text foundation model bridging the semantic gap for property prediction and retrievalXuan Lin, Yang Sun, Luming Chen, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Briefings in Bioinformatics|November 17, 2023
Chemical structure-aware molecular image representation learningHongxin Xiang, Shuting Jin, Xiangrong Liu, et al.
Briefings in Bioinformatics|August 12, 2024
Attribute-guided prototype network for few-shot molecular property predictionLinlin Hou, Hongxin Xiang, Xiangxiang Zeng, et al.
IEEE Journal of Biomedical and Health Informatics|March 2, 2026
ReMol: A Chemical Reaction Knowledge-guided Self-supervised Molecular Image Representation Learning FrameworkZhixiang Cheng, Hongxin Xiang, Mingquan Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 15, 2021
Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy RegularizationCheng Xie, Hongxin Xiang, Ting Zeng, et al.
Research Square|April 12, 2022
Accurate prediction of molecular targets using a self-supervised image representation learning frameworkXiangxiang Zeng, Hongxin Xiang, Linhui Yu, et al.
BMC Biology|July 2, 2025
GraphGIM: rethinking molecular graph contrastive learning via geometry image modelingChaoyi Li, Hongxin Xiang, Wenjie Du, et al.
Biomed Research International|October 21, 2020
Application of BERT to Enable Gene Classification Based on Clinical EvidenceYuhan Su, Hongxin Xiang, Haotian Xie, et al.
Communications Biology|October 31, 2024
A spatial hierarchical network learning framework for drug repositioning allowing interpretation from macro to micro scaleZhonghao Ren, Xiangxiang Zeng, Yizhen Lao, et al.
Interdisciplinary Sciences, Computational Life Sciences|May 26, 2026
Enabling Drug-Drug Interaction Event Prediction with Multi-view-enhanced Chemical Structural InformationGe Jin, Junlin Xu, Hongxin Xiang, et al.
BMC Biology|May 19, 2026
ITMol: a molecular image-text foundation model bridging the semantic gap for property prediction and retrievalXuan Lin, Yang Sun, Luming Chen, et al.
Pageof 2