A Novel Sleep Stage Classification via Combination of Fast Representation Learning and Semantic-to-Signal Learning. - Hongxin Xiang; Ting Zeng; Yun Yang 003 (IJCNN, 2020)

Zero-Shot Learning Based on Knowledge Sharing. - Ting Zeng; Hongxin Xiang; Cheng Xie; Yun Yang 003; Qing Liu 019 (CSCWD, 2021)

Multi-Knowledge Fusion Network for Generalized Zero-Shot Learning. - Hongxin Xiang; Cheng Xie; Ting Zeng; Yun Yang 003 (ICME, 2021)

Transfer Visual Semantics into Knowledge Graph for Zero-Shot Recognition in Universal Datasets. - Beibei Yu; Cheng Xie; Yujin Wang; Hongxin Xiang (ISKE, 2021)

Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning. - Hongxin Xiang; Cheng Xie; Ting Zeng; Yun Yang 003 (CoRR, 2021)

Class knowledge overlay to visual feature learning for zero-shot image classification. - Cheng Xie; Ting Zeng; Hongxin Xiang; Keqin Li 001; Yun Yang 003; Qing Liu 019 (Comput. Vis. Image Underst., 2021)

Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization. - Cheng Xie; Hongxin Xiang; Ting Zeng; Yun Yang 003; Beibei Yu; Qing Liu 019 (Neural Networks, 2021)

Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework. - Xiangxiang Zeng; Hongxin Xiang; Linhui Yu; Jianmin Wang 016; Kenli Li 001; Ruth Nussinov; Feixiong Cheng (Nat. Mac. Intell., 2022)

Chemical structure-aware molecular image representation learning. - Hongxin Xiang; Shuting Jin; Xiangrong Liu; Xiangxiang Zeng; Li Zeng (Briefings Bioinform., 2023)

An Image-enhanced Molecular Graph Representation Learning Framework. - Hongxin Xiang; Shuting Jin; Jun Xia; Man Zhou; Jianmin Wang 016; Li Zeng; Xiangxiang Zeng (IJCAI, 2024)

FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. - Sizhe Liu; Jun Xia 001; Lecheng Zhang; Yuchen Liu; Yue Liu 008; Wenjie Du 003; Zhangyang Gao; Bozhen Hu; Cheng Tan 012; Hongxin Xiang; Stan Z. Li (NeurIPS, 2024)

Attribute-guided prototype network for few-shot molecular property prediction. - Linlin Hou; Hongxin Xiang; Xiangxiang Zeng; Dongsheng Cao 001; Li Zeng; Bosheng Song (Briefings Bioinform., 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)

Dual-View Learning Based on Images and Sequences for Molecular Property Prediction. - Xiang Zhang; Hongxin Xiang; Xixi Yang; Jingxin Dong 002; Xiangzheng Fu; Xiangxiang Zeng; Haowen Chen; Keqin Li 001 (IEEE J. Biomed. Health Informatics, 2024)

Interface-aware molecular generative framework for protein-protein interaction modulators. - Jianmin Wang 016; Jiashun Mao; Chunyan Li 002; Hongxin Xiang; Xun Wang 010; Shuang Wang; Zixu Wang; Yangyang Chen 006; Yuquan Li; Kyoung Tai No; Tao Song 001; Xiangxiang Zeng (J. Cheminformatics, 2024)

Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo. - Jun Xia 001; Sizhe Liu; Jingbo Zhou; Shaorong Chen; Hongxin Xiang; Zicheng Liu 006; Yue Liu 008; Stan Z. Li (ICLR, 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 003; Yang Wang 015 (ICLR, 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 (CoRR, 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, 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, 2025)

ImageDDI: Image-enhanced molecular motif sequence representation for drug-drug interaction prediction. - Yuqin He; Tengfei Ma 002; Chaoyi Li; Pengsen Ma; Hongxin Xiang; Jianmin Wang 016; Yiping Liu; Bosheng Song; Xiangxiang Zeng (Inf. Fusion, 2026)