Hanjing Jiang

According to our database1, Hanjing Jiang authored at least 12 papers between 2019 and 2023.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2023
ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering.
BMC Bioinform., December, 2023

An Efficient and Lightweight Pigeon Age Detection Method Based on LN-STEP-YOLO.
IEEE Access, 2023

Selection of Cancer Biomarkers from Microarray Gene Expression Data Utilizing the Bi-Objective Optimization Method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
An effective drug-disease associations prediction model based on graphic representation learning over multi-biomolecular network.
BMC Bioinform., 2022

Spectral clustering of single cells using Siamese nerual network combined with improved affinity matrix.
Briefings Bioinform., 2022

2021
Accurate Identification of Agricultural Inputs Based on Sensor Monitoring Platform and SSDA-HELM-SOFTMAX Model.
J. Sensors, 2021

Prognostic Prediction for Non-small-Cell Lung Cancer Based on Deep Neural Network and Multimodal Data.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020

Prediction of Drug-Disease Associations Based on Long Short-Term Memory Network and Gaussian Interaction Profile Kernel.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2020

2019
MISSIM: Improved miRNA-Disease Association Prediction Model Based on Chaos Game Representation and Broad Learning System.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

Predicting of Drug-Disease Associations via Sparse Auto-Encoder-Based Rotation Forest.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins.
Proceedings of the Intelligent Computing Theories and Application, 2019


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