2025
GEP-DNN4Mol: automatic chemical molecular design based on deep neural networks and gene expression programming.
Health Inf. Sci. Syst., December, 2025
GCCNet: A Novel Network Leveraging Gated Cross-Correlation for Multi-View Classification.
IEEE Trans. Multim., 2025
2024
An three-in-one on-demand ride-hailing prediction model based on multi-agent reinforcement learning.
Appl. Soft Comput., December, 2024
A three-in-one dynamic shared bicycle demand forecasting model under non-classical conditions.
Appl. Intell., September, 2024
CDSC: Causal decomposition based on spectral clustering.
Inf. Sci., February, 2024
CDRM: Causal disentangled representation learning for missing data.
Knowl. Based Syst., 2024
MvMRL: a multi-view molecular representation learning method for molecular property prediction.
Briefings Bioinform., 2024
Minimizing Enzyme Mass to Decompose Flux Distribution in Genome-Scale Metabolic Network for Identifying Active Elementary Flux Modes.
Proceedings of the Applied Intelligence - Second International Conference, 2024
RePCMA-YOLOv8n: A Lightweight Traffic Sign Detection Model.
Proceedings of the Applied Intelligence - Second International Conference, 2024
A Multi-module Hybrid Neural Framework for Transformer-Based Drug Response Prediction.
Proceedings of the Applied Intelligence - Second International Conference, 2024
GEP-Graph4MD: An Automatic Molecular Generation Method Based on Gene Expression Programming with Graph-Based Modeling.
Proceedings of the Applied Intelligence - Second International Conference, 2024
2023
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model.
BMC Medical Informatics Decis. Mak., December, 2023
Unveiling the multi-target compounds of <i>Rhazya stricta</i>: Discovery and inhibition of novel target genes for the treatment of clear cell renal cell carcinoma.
Comput. Biol. Medicine, October, 2023
Imbalanced data classification: Using transfer learning and active sampling.
Eng. Appl. Artif. Intell., 2023
Imputation of Compound Property Assay Data Using a Gene Expression Programming-Based Method.
Proceedings of the Applied Intelligence - First International Conference, 2023
T-GraphDTA: A Drug-Target Binding Affinity Prediction Framework Based on Protein Pre-training Model and Hybrid Graph Neural Network.
Proceedings of the Applied Intelligence - First International Conference, 2023
GEP-DL4Mol: A Novel Molecular Deep-learning Model Optimization Framework for Boosting Molecular Properties Prediction<sup>*</sup>.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
A new clustering mining algorithm for multi-source imbalanced location data.
Inf. Sci., 2022
An automatic hyperparameter optimization DNN model for precipitation prediction.
Appl. Intell., 2022
2020
Enhanced Graph Isomorphism Network for Molecular ADMET Properties Prediction.
IEEE Access, 2020
Overview of Intelligent Online Banking System Based on HERCULES Architecture.
IEEE Access, 2020
2019
An Extreme Learning Machine and Gene Expression Programming-Based Hybrid Model for Daily Precipitation Prediction.
Int. J. Comput. Intell. Syst., 2019
A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming.
CoRR, 2019
A Seft-adaptive Multicellular GEP Algorithm Based On Fuzzy Control For Function Optimization.
CoRR, 2019
TOP: Towards Better Toxicity Prediction by Deep Molecular Representation Learning.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Multicellular Gene Expression Programming-Based Hybrid Model for Precipitation Prediction Coupled with EMD.
Proceedings of the Intelligent Computing Theories and Application, 2018
A Soft Computing-Based Daily Rainfall Forecasting Model Using ELM and GEP.
Proceedings of ELM 2018, 2018
2017
Inferring Causal Direction From Multi-Dimensional Causal Networks for Assessing Harmful Factors in Security Analysis.
IEEE Access, 2017