Dongxu Li

Orcid: 0000-0002-9701-5377

Affiliations:
  • Chinese Academy of Sciences (CAS), Xinjiang Technical Institute of Physics and Chemistry, China
  • University of Chinese Academy of Sciences (UCAS), Xinjiang Laboratory of Minority Speech and Language Information Processing, China


According to our database1, Dongxu Li authored at least 17 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Multi-View Contrastive Learning for Drug-Drug Interaction Event Prediction.
IEEE J. Biomed. Health Informatics, March, 2026

LLM-DDI: Leveraging Large Language Models for Drug-Drug Interaction Prediction on Biomedical Knowledge Graph.
IEEE J. Biomed. Health Informatics, January, 2026

2025
FMvPCI: A Multiview Fusion Neural Network for Identifying Protein Complex via Fuzzy Clustering.
IEEE Trans. Syst. Man Cybern. Syst., September, 2025

Link-Based Attributed Graph Clustering via Approximate Generative Bayesian Learning.
IEEE Trans. Syst. Man Cybern. Syst., August, 2025

Integrating Fuzzy Clustering and Graph Convolution Network to Accurately Identify Clusters From Attributed Graph.
IEEE Trans. Netw. Sci. Eng., 2025

DeepHIV: A Sequence-Based Deep Learning Model for Predicting HIV-1 Protease Cleavage Sites.
IEEE Trans. Comput. Biol. Bioinform., 2025

A bijective inference network for interpretable identification of RNA N6-methyladenosine modification sites.
Pattern Recognit., 2025

Regulation-aware graph learning for drug repositioning over heterogeneous biological network.
Inf. Sci., 2025

Improving Cancer Gene Identification via Mixture-of-Experts-Based Graph Representation Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
Learning Sequential and Structural Dependencies Between Nucleotides for RNA N6-Methyladenosine Site Identification.
IEEE CAA J. Autom. Sinica, October, 2024

Knowledge-guided Protein Complex Identification with Fuzzy-based Graph Representation Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

A Multi-view Nested Contrastive Learning Framework for Predicting Drug-Drug Interaction Events.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks.
BMC Bioinform., December, 2023

Multi-level Subgraph Representation Learning for Drug-Disease Association Prediction Over Heterogeneous Biological Information Network.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

A Novel Graph Representation Learning Model for Drug Repositioning Using Graph Transition Probability Matrix Over Heterogenous Information Networks.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Drug Repositioning Method Based on Pre-trained Large Model and Network Embedding Representation.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction.
Proceedings of the Intelligent Computing Theories and Application, 2022


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