Aoyun Geng

Orcid: 0009-0004-9716-9415

According to our database1, Aoyun Geng authored at least 10 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DeepNhKcr: Explainable Deep Learning Framework for the Prediction of Crotonylation Sites of Non-Histone Lysine in Plants Based on Pre-Trained Protein Language Model.
IEEE Trans. Comput. Biol. Bioinform., 2026

CNNCaps-DBP: Leveraging protein language models with attention-augmented convolution for DNA-binding protein prediction.
Neural Networks, 2026

Protein Solubility Prediction Using Fused Graph Convolutional Networks and Improved Attention Networks with AlphaFold3-Derived Features.
J. Chem. Inf. Model., 2026

TLAGC: Taylor Linear Attention-Guided Graph Convolutions for Revealing Spatial Domains in Spatial Multi-Omics Data.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
DeepMaT: Prediction of Target Peptide Classification and Cleavage Site by Combining Mamba2 and Multiple Attention Mechanisms.
J. Chem. Inf. Model., 2025

AcidProNet: Acidophilic Protein Classification via DCGAN-GP-Based Data Augmentation and Parameter-Shared Mixture-of-Experts Transformer.
J. Chem. Inf. Model., 2025

AVP-HNCL: Innovative Contrastive Learning with a Queue-Based Negative Sampling Strategy for Dual-Phase Antiviral Peptide Prediction.
J. Chem. Inf. Model., 2025

ACP-CLB: An Anticancer Peptide Prediction Model Based on Multichannel Discriminative Processing and Integration of Large Pretrained Protein Language Models.
J. Chem. Inf. Model., 2025

RTCDB: A Multi-Omics Database Supporting Research and Discovery in Rare Tumor Oncology.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
MultiFeatVotPIP: a voting-based ensemble learning framework for predicting proinflammatory peptides.
Briefings Bioinform., November, 2024


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