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2020 – today
- 2026
[j9]Yuqin He, Tengfei Ma
, Chaoyi Li, Pengsen Ma, Hongxin Xiang, Jianmin Wang, Yiping Liu, Bosheng Song, Xiangxiang Zeng:
ImageDDI: Image-enhanced molecular motif sequence representation for drug-drug interaction prediction. Inf. Fusion 126: 103574 (2026)- [i11]Hongxin Xiang, Pengsen Ma, Yunkang Cao, Di Yu, Haowen Chen, Xinyu Yang, Xiangxiang Zeng:
Rethinking Genomic Modeling Through Optical Character Recognition. CoRR abs/2602.02014 (2026) - 2025
- [j8]Hongxin Xiang, Mingquan Liu, Linlin Hou, Shuting Jin, Jianmin Wang, Jun Xia, Wenjie Du, Sisi Yuan, Xiangzheng Fu, Xinyu Yang, Li Zeng, Lei Xu:
An image-based protein-ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training. Bioinform. 41(10) (2025) - [c11]Jun Xia, Sizhe Liu, Jingbo Zhou, Shaorong Chen, Hongxin Xiang, Zicheng Liu, Yue Liu, Stan Z. Li:
Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo. ICLR 2025 - [c10]Shuai Zhang, Junfeng Fang, Xuqiang Li, Hongxin Xiang, Alan Xia, Ye Wei, Wenjie Du, Yang Wang:
Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck. ICLR 2025 - [c9]Zhuo Chen, Jiahui Zhang, Sihan Wang, Hongxin Xiang, Jianmin Wang, Wenjie Du, Yang Wang:
DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models. IJCAI 2025: 4905-4913 - [c8]Xuan Lin, Qingrui Liu, Hongxin Xiang, Daojian Zeng, Xiangxiang Zeng:
Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning. IJCAI 2025: 7554-7562 - [c7]Hongxin Xiang, Jun Xia, Xin Jin, Wenjie Du, Li Zeng, Xiangxiang Zeng:
Electron Density-enhanced Molecular Geometry Learning. IJCAI 2025: 7840-7848 - [i10]Xuan Lin, Qingrui Liu, Hongxin Xiang, Daojian Zeng, Xiangxiang Zeng:
Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning. CoRR abs/2505.02639 (2025) - [i9]Hongxin Xiang, Ke Li, Mingquan Liu, Zhixiang Cheng, Bin Yao, Wenjie Du, Jun Xia, Li Zeng, Xin Jin, Xiangxiang Zeng:
EDBench: Large-Scale Electron Density Data for Molecular Modeling. CoRR abs/2505.09262 (2025) - [i8]Zhuo Chen, Yizhen Zheng, Huan Yee Koh, Hongxin Xiang, Linjiang Chen, Wenjie Du, Yang Wang:
ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models. CoRR abs/2506.00880 (2025) - [i7]Yuqin He, Tengfei Ma, Chaoyi Li, Pengsen Ma, Hongxin Xiang, Jianmin Wang, Yiping Liu, Bosheng Song, Xiangxiang Zeng:
ImageDDI: Image-enhanced Molecular Motif Sequence Representation for Drug-Drug Interaction Prediction. CoRR abs/2508.08338 (2025) - 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) - [c6]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 - [c5]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. NeurIPS 2024 - [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
Coauthor Index
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