Lina Zhang

Orcid: 0000-0002-2553-2463

Affiliations:
  • Shandong University, School of Mechanical, Electrical and Information Engineering, China


According to our database1, Lina Zhang authored at least 16 papers between 2015 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
A text consistency evaluation method combining unified modeling and mixture-of-expert networks.
Expert Syst. Appl., 2026

Entity alignment based on multi-modal representation learning and constrained weakly-supervised clustering.
Appl. Soft Comput., 2026

2025
An ensemble learning method combined with multiple feature representation strategies to predict lncRNA subcellular localizations.
Comput. Biol. Chem., 2025

2024
Prediction of plant LncRNA-protein interactions based on feature fusion and an improved residual network.
Expert Syst. Appl., March, 2024

Multi-view feature fusion and density-based minority over-sampling technique for amyloid protein prediction under imbalanced data.
Appl. Soft Comput., January, 2024

GCNGAT: Drug-disease association prediction based on graph convolution neural network and graph attention network.
Artif. Intell. Medicine, 2024

2023
HGECDA: A Heterogeneous Graph Embedding Model for CircRNA-Disease Association Prediction.
IEEE J. Biomed. Health Informatics, October, 2023

ECAmyloid: An amyloid predictor based on ensemble learning and comprehensive sequence-derived features.
Comput. Biol. Chem., June, 2023

2022
Association prediction of CircRNAs and diseases using multi-homogeneous graphs and variational graph auto-encoder.
Comput. Biol. Medicine, 2022

2020
PCSPred_SC: Prediction of Protein Citrullination Sites Using an Effective Sequence-Based Combined Method.
IEEE Access, 2020

2019
Predicting FAD Interacting Residues with Feature Selection and Comprehensive Sequence Descriptors.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

DeepGly: A Deep Learning Framework With Recurrent and Convolutional Neural Networks to Identify Protein Glycation Sites From Imbalanced Data.
IEEE Access, 2019

2018
PSSM-PROREP: A Flexible Web Server for Generating Various Position Specific Score Matrix-derived Protein Representations.
Proceedings of the IEEE International Conference on Information and Automation, 2018

2016
Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes.
BMC Bioinform., 2016

2015
Incorporating g-gap dipeptide composition and position specific scoring matrix for identifying antioxidant proteins.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

A machine learning approach to identify DNA replication proteins from sequence-derived features.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015


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