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2020 – today
- 2024
[j7]Linlin Hou
, Hongxin Xiang, Xiangxiang Zeng, Dongsheng Cao, Li Zeng, Bosheng Song:
Attribute-guided prototype network for few-shot molecular property prediction. Briefings Bioinform. 25(5) (2024)- [j6]Jianmin Wang, Jiashun Mao, Chunyan Li, Hongxin Xiang, Xun Wang, Shuang Wang, Zixu Wang, Yangyang Chen, Yuquan Li, Kyoung Tai No, Tao Song, Xiangxiang Zeng:
Interface-aware molecular generative framework for protein-protein interaction modulators. J. Cheminformatics 16(1): 142 (2024) - [j5]Xiang Zhang, Hongxin Xiang, Xixi Yang, Jingxin Dong, Xiangzheng Fu, Xiangxiang Zeng, Haowen Chen, Keqin Li:
Dual-View Learning Based on Images and Sequences for Molecular Property Prediction. IEEE J. Biomed. Health Informatics 28(3): 1564-1574 (2024) - [c5]Hongxin Xiang, Shuting Jin, Jun Xia, Man Zhou, Jianmin Wang, Li Zeng, Xiangxiang Zeng:
An Image-enhanced Molecular Graph Representation Learning Framework. IJCAI 2024: 6107-6115 - [i6]Zhixiang Cheng, Hongxin Xiang, Pengsen Ma, Li Zeng, Xin Jin, Xixi Yang, Jianxin Lin, Yang Deng, Bosheng Song, Xinxin Feng, Changhui Deng, Xiangxiang Zeng:
MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffs. CoRR abs/2409.12926 (2024) - [i5]Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li:
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. CoRR abs/2410.15010 (2024) - 2023
- [j4]Hongxin Xiang, Shuting Jin, Xiangrong Liu, Xiangxiang Zeng, Li Zeng:
Chemical structure-aware molecular image representation learning. Briefings Bioinform. 24(6) (2023) - 2022
- [j3]Xiangxiang Zeng, Hongxin Xiang, Linhui Yu, Jianmin Wang, Kenli Li, Ruth Nussinov, Feixiong Cheng:
Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework. Nat. Mac. Intell. 4(11): 1004-1016 (2022) - 2021
- [j2]Cheng Xie, Ting Zeng, Hongxin Xiang, Keqin Li, Yun Yang, Qing Liu:
Class knowledge overlay to visual feature learning for zero-shot image classification. Comput. Vis. Image Underst. 207: 103206 (2021) - [j1]Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu:
Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization. Neural Networks 139: 168-178 (2021) - [c4]Ting Zeng, Hongxin Xiang, Cheng Xie, Yun Yang, Qing Liu:
Zero-Shot Learning Based on Knowledge Sharing. CSCWD 2021: 643-648 - [c3]Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang:
Multi-Knowledge Fusion Network for Generalized Zero-Shot Learning. ICME 2021: 1-6 - [c2]Beibei Yu, Cheng Xie, Yujin Wang, Hongxin Xiang:
Transfer Visual Semantics into Knowledge Graph for Zero-Shot Recognition in Universal Datasets. ISKE 2021: 327-331 - [i4]Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu:
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization. CoRR abs/2101.09892 (2021) - [i3]Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang:
Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning. CoRR abs/2102.11566 (2021) - [i2]Cheng Xie, Ting Zeng, Hongxin Xiang, Keqin Li, Yun Yang, Qing Liu:
Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification. CoRR abs/2102.13322 (2021) - [i1]Ting Zeng, Hongxin Xiang, Cheng Xie, Yun Yang, Qing Liu:
Zero-Shot Learning Based on Knowledge Sharing. CoRR abs/2102.13326 (2021) - 2020
- [c1]Hongxin Xiang, Ting Zeng, Yun Yang:
A Novel Sleep Stage Classification via Combination of Fast Representation Learning and Semantic-to-Signal Learning. IJCNN 2020: 1-8
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