Hongxin Xiang

According to our database, Hongxin Xiang authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Interface-aware molecular generative framework for protein-protein interaction modulators.

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

J. Cheminformatics, December, 2024

Dual-View Learning Based on Images and Sequences for Molecular Property Prediction.

Xiang Zhang, Hongxin Xiang, Xixi Yang, Jingxin Dong, Xiangzheng Fu, Xiangxiang Zeng, Haowen Chen, Keqin Li

IEEE J. Biomed. Health Informatics, March, 2024

FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning.

Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li

CoRR, 2024

MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffs.

Zhixiang Cheng, Hongxin Xiang, Pengsen Ma, Li Zeng, Xin Jin, Xixi Yang, Jianxin Lin, Yang Deng, Bosheng Song, Xinxin Feng, Changhui Deng, Xiangxiang Zeng

CoRR, 2024

Attribute-guided prototype network for few-shot molecular property prediction.

Linlin Hou, Hongxin Xiang, Xiangxiang Zeng, Dongsheng Cao, Li Zeng, Bosheng Song

Briefings Bioinform., 2024

An Image-enhanced Molecular Graph Representation Learning Framework.

Hongxin Xiang, Shuting Jin, Jun Xia, Man Zhou, Jianmin Wang, Li Zeng, Xiangxiang Zeng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Chemical structure-aware molecular image representation learning.

Hongxin Xiang, Shuting Jin, Xiangrong Liu, Xiangxiang Zeng, Li Zeng

Briefings Bioinform., September, 2023

2022

Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework.

Xiangxiang Zeng, Hongxin Xiang, Linhui Yu, Jianmin Wang, Kenli Li, Ruth Nussinov, Feixiong Cheng

Nat. Mac. Intell., November, 2022

2021

Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization.

Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu

Neural Networks, 2021

Class knowledge overlay to visual feature learning for zero-shot image classification.

Cheng Xie, Ting Zeng, Hongxin Xiang, Keqin Li, Yun Yang, Qing Liu

Comput. Vis. Image Underst., 2021

Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning.

Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang

CoRR, 2021

Transfer Visual Semantics into Knowledge Graph for Zero-Shot Recognition in Universal Datasets.

Beibei Yu, Cheng Xie, Yujin Wang, Hongxin Xiang

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

Multi-Knowledge Fusion Network for Generalized Zero-Shot Learning.

Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Zero-Shot Learning Based on Knowledge Sharing.

Ting Zeng, Hongxin Xiang, Cheng Xie, Yun Yang, Qing Liu

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

2020

A Novel Sleep Stage Classification via Combination of Fast Representation Learning and Semantic-to-Signal Learning.

Hongxin Xiang, Ting Zeng, Yun Yang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020