Xiaobo Li

According to our database, Xiaobo Li authored at least 27 papers between 2022 and 2026.

Collaborative distances:

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

2026

Debiased medication recommendation through fusing frequent pattern and temporal medical records.

Xiaobo Li, Xiaodi Hou, Simiao Wang, Shilong Wang, Xiaokun Zhang, Yi-Jia Zhang

Neural Networks, 2026

Relation-aware pre-trained network with hierarchical aggregation mechanism for cold-start drug recommendation.

Xiaobo Li, Xiaodi Hou, Shilong Wang, Hongfei Lin, Yi-Jia Zhang

Neural Networks, 2026

Multi-modal contrastive learning based on molecular and textual data for drug response prediction.

Meiyu Duan, Xiaobo Li, Xiaodi Hou, Yanchen Qu, Hai Cui, Yi-Jia Zhang

Neural Networks, 2026

Latent diffusion-augmented cross-modal representation learning for radiology report generation.

Xiaodi Hou, Xiaobo Li, Simiao Wang, Mingyu Lu, Hongfei Lin, Yi-Jia Zhang

Inf. Process. Manag., 2026

Enhanced drug recommendation based on dynamic clinical trajectory aggregation and geometry-enhanced molecular representation.

Shidi Zhang, Xiaobo Li, Ziwei Ma, Yi-Jia Zhang

Expert Syst. Appl., 2026

MambaGen: Efficient visual representation learning for automatic radiology report generation.

Xiaodi Hou, Xiaobo Li, Simiao Wang, Mingyu Lu, Hongfei Lin, Yi-Jia Zhang

Expert Syst. Appl., 2026

Dual-channel heterogeneous graph framework with multi-view contrastive learning for drug-drug interaction prediction.

Shilong Wang, Hai Cui, Yanchen Qu, Xiaobo Li, Yijia Zhang

Eng. Appl. Artif. Intell., 2026

Mixture of experts for radiology report generation.

Xiangkang Song, Zhi Liu, Xiaodi Hou, Xiaobo Li, Yijia Zhang

Eng. Appl. Artif. Intell., 2026

2025

Heterogeneous graph contrastive learning with gradient balance for drug repositioning.

Hai Cui, Meiyu Duan, Haijia Bi, Xiaobo Li, Xiaodi Hou, Yi-Jia Zhang

Briefings Bioinform., January, 2025

Knowledge enhanced representation learning network for drug recommendation.

Xiaobo Li, Xiaodi Hou, Fanjun Meng, Xiaokun Zhang, Mingyu Lu, Hongfei Lin, Yi-Jia Zhang

Inf. Process. Manag., 2025

Towards robust drug recommendation based on dual perspective encoder and iterative denoising mechanism.

Xiaobo Li, Fanjun Meng, Jiedong Wei, Yi-Jia Zhang

Expert Syst. Appl., 2025

Recalibrated cross-modal alignment network for radiology report generation with weakly supervised contrastive learning.

Xiaodi Hou, Xiaobo Li, Zhi Liu, Shengtian Sang, Mingyu Lu, Yi-Jia Zhang

Expert Syst. Appl., 2025

Multitask gated interactive network for automatic international classification of diseases coding with dual denoising mechanism.

Xiaobo Li, Yi-Jia Zhang, Xiaodi Hou, Shilong Wang, Wen Qu

Eng. Appl. Artif. Intell., 2025

Deep learning for automatic ICD coding: Review, opportunities and challenges.

Xiaobo Li, Yijia Zhang, Xiaodi Hou, Shilong Wang, Hongfei Lin

Artif. Intell. Medicine, 2025

RRG-Mamba: Efficient Radiology Report Generation with State Space Model.

Xiaodi Hou, Xiaobo Li, Mingyu Lu, Simiao Wang, Yijia Zhang

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

2024

A Unified Review of Deep Learning for Automated Medical Coding.

Shaoxiong Ji, Xiaobo Li, Wei Sun, Hang Dong, Ara Taalas, Yijia Zhang, Honghan Wu, Esa Pitkänen, Pekka Marttinen

ACM Comput. Surv., December, 2024

Multidta: drug-target binding affinity prediction via representation learning and graph convolutional neural networks.

Jiejin Deng, Yi-Jia Zhang, Yaohua Pan, Xiaobo Li, Mingyu Lu

Int. J. Mach. Learn. Cybern., July, 2024

Visual Recalibration and Gating Enhancement Network for Radiology Report Generation.

Xiaodi Hou, Guoming Sang, Zhi Liu, Xiaobo Li, Yi-Jia Zhang

J. Comput. Biol., 2024

MGRN: toward robust drug recommendation via multi-view gating retrieval network.

Fanjun Meng, Xiaobo Li, Xiaodi Hou, Mingyu Lu, Yijia Zhang

Bioinform., 2024

Hybrid Attention Knowledge Fusion Network for Automated Medical Code Assignment.

Shilong Wang, Xiaobo Li, Wen Qu, Hongfei Lin, Yi-Jia Zhang

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

2023

MKCL: Medical Knowledge with Contrastive Learning model for radiology report generation.

Xiaodi Hou, Zhi Liu, Xiaobo Li, Xingwang Li, Shengtian Sang, Yijia Zhang

J. Biomed. Informatics, October, 2023

Automatic International Classification of Diseases Coding via Note-Code Interaction Network with Denoising Mechanism.

Xiaobo Li, Yi-Jia Zhang, Xingwang Li, Xianwei Pan, Jian Wang, Mingyu Lu

J. Comput. Biol., August, 2023

DGCL: Distance-wise and Graph Contrastive Learning for medication recommendation.

Xingwang Li, Yi-Jia Zhang, Xiaobo Li, Hao Wei, Mingyu Lu

J. Biomed. Informatics, March, 2023

Radiology Report Generation via Visual Recalibration and Context Gating-Aware.

Xiaodi Hou, Guoming Sang, Zhi Liu, Xiaobo Li, Yijia Zhang

Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

MKFN: Multimodal Knowledge Fusion Network for Automatic ICD Coding.

Shilong Wang, Hongfei Lin, Yijia Zhang, Xiaobo Li, Wen Qu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Multi-Visit Interactive Recalibration Network for Drug Recommendation with a Triple Graph Encoder.

Xiaobo Li, Yi-Jia Zhang, Xiaodi Hou, Fanjun Meng, Hongfei Lin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

NIDN: Medical Code Assignment via Note-Code Interaction Denoising Network.

Xiaobo Li, Yijia Zhang, Xingwang Li, Jian Wang, Mingyu Lu

Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022