Chengwei Ai
Orcid: 0000-0003-1314-660X
According to our database1,
Chengwei Ai authored at least 17 papers
between 2020 and 2026.
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Bibliography
2026
Refprogen: a reference-guided molecular generation model with protein-ligand joint representation for property-aware drug design.
Expert Syst. Appl., 2026
PharmaQA: Prompt-Based Molecular Representation Learning via Pharmacophore-Oriented Question Answering.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
HyperPhS: a pharmacophore-guided multimodal representation framework for metabolic stability prediction through contrastive hypergraph learning.
Bioinform., 2025
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
MolInterAct: Multiscale Cross-Modal Interaction for Robust Molecular Representation Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
MTMol-GPT: De novo multi-target molecular generation with transformer-based generative adversarial imitation learning.
PLoS Comput. Biol., 2024
A generalizable framework for unlocking missing reactions in genome-scale metabolic networks using deep learning.
CoRR, 2024
RetroCaptioner: beyond attention in end-to-end retrosynthesis transformer via contrastively captioned learnable graph representation.
Bioinform., 2024
2023
Identification of DNA N4-methylcytosine Sites via Multiview Kernel Sparse Representation Model.
IEEE Trans. Artif. Intell., October, 2023
Briefings Bioinform., September, 2023
Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
2022
Sparse regularized joint projection model for identifying associations of non-coding RNAs and human diseases.
Knowl. Based Syst., 2022
DeepBLI: A Transferable Multichannel Model for Detecting β-Lactamase-Inhibitor Interaction.
J. Chem. Inf. Model., 2022
A multi-layer multi-kernel neural network for determining associations between non-coding RNAs and diseases.
Neurocomputing, 2022
Microbe-bridged disease-metabolite associations identification by heterogeneous graph fusion.
Briefings Bioinform., 2022
2020
Proceedings of the ICCSP 2020: 4th International Conference on Cryptography, 2020
Proceedings of the ICCSP 2020: 4th International Conference on Cryptography, 2020