Hongxin Xiang

According to our database, Hongxin Xiang authored at least 24 papers between 2020 and 2026.

Collaborative distances:

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

2026

ImageDDI: Image-enhanced molecular motif sequence representation for drug-drug interaction prediction.

Yuqin He, Tengfei Ma, Chaoyi Li, Pengsen Ma, Hongxin Xiang, Jianmin Wang, Yiping Liu, Bosheng Song, Xiangxiang Zeng

Inf. Fusion, 2026

2025

ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models.

Zhuo Chen, Yizhen Zheng, Huan Yee Koh, Hongxin Xiang, Linjiang Chen, Wenjie Du, Yang Wang

CoRR, June, 2025

EDBench: Large-Scale Electron Density Data for Molecular Modeling.

Hongxin Xiang, Ke Li, Mingquan Liu, Zhixiang Cheng, Bin Yao, Wenjie Du, Jun Xia, Li Zeng, Xin Jin, Xiangxiang Zeng

CoRR, May, 2025

An image-based protein-ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training.

Hongxin Xiang, Mingquan Liu, Linlin Hou, Shuting Jin, Jianmin Wang, Jun Xia, Wenjie Du, Sisi Yuan, Xiangzheng Fu, Xinyu Yang, Li Zeng, Lei Xu

Bioinform., 2025

Electron Density-enhanced Molecular Geometry Learning.

Hongxin Xiang, Jun Xia, Xin Jin, Wenjie Du, Li Zeng, Xiangxiang Zeng

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning.

Xuan Lin, Qingrui Liu, Hongxin Xiang, Daojian Zeng, Xiangxiang Zeng

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models.

Zhuo Chen, Jiahui Zhang, Sihan Wang, Hongxin Xiang, Jianmin Wang, Wenjie Du, Yang Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck.

Shuai Zhang, Junfeng Fang, Xuqiang Li, Hongxin Xiang, Alan Xia, Ye Wei, Wenjie Du, Yang Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo.

Jun Xia, Sizhe Liu, Jingbo Zhou, Shaorong Chen, Hongxin Xiang, Zicheng Liu, Yue Liu, Stan Z. Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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