Zhanheng Chen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2023
Fixed/Preassigned-Time Synchronization of Complex Variable BAM Neural Networks with Time-Varying Delays.
Neural Process. Lett., December, 2023

scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data.
BMC Bioinform., December, 2023

DeepTPpred: A Deep Learning Approach With Matrix Factorization for Predicting Therapeutic Peptides by Integrating Length Information.
IEEE J. Biomed. Health Informatics, September, 2023

Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

A survey of transformer-based multimodal pre-trained modals.
Neurocomputing, 2023

In silico prediction methods of self-interacting proteins: an empirical and academic survey.
Frontiers Comput. Sci., 2023

Multi-perspective Feedback-attention Coupling Model for Continuous-time Dynamic Graphs.
CoRR, 2023

Dynamic Link Prediction for New Nodes in Temporal Graph Networks.
CoRR, 2023

2022
FCNGRU: Locating Transcription Factor Binding Sites by Combing Fully Convolutional Neural Network With Gated Recurrent Unit.
IEEE J. Biomed. Health Informatics, 2022

Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Base-resolution prediction of transcription factor binding signals by a deep learning framework.
PLoS Comput. Biol., 2022

MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction.
Proceedings of the Intelligent Computing Theories and Application, 2022

Predicting Drug-Disease Associations via Meta-path Representation Learning based on Heterogeneous Information Net works.
Proceedings of the Intelligent Computing Theories and Application, 2022

Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities.
Proceedings of the Intelligent Computing Theories and Application, 2022

2021
Learning from low-rank multimodal representations for predicting disease-drug associations.
BMC Medical Informatics Decis. Mak., 2021

A learning-based method to predict LncRNA-disease associations by combining CNN and ELM.
BMC Bioinform., 2021

Locating transcription factor binding sites by fully convolutional neural network.
Briefings Bioinform., 2021

MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm.
Briefings Bioinform., 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

Using Deep Learning to Predict Transcription Factor Binding Sites Combining Raw DNA Sequence, Evolutionary Information and Epigenomic Data.
Proceedings of the Intelligent Computing Theories and Application, 2021

Weighted Nonnegative Matrix Factorization Based on Multi-source Fusion Information for Predicting CircRNA-Disease Associations.
Proceedings of the Intelligent Computing Theories and Application, 2021

Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation.
Proceedings of the Intelligent Computing Theories and Application, 2021

OnSum: Extractive Single Document Summarization Using Ordered Neuron LSTM.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network.
BMC Medical Informatics Decis. Mak., March, 2020

A survey of current trends in computational predictions of protein-protein interactions.
Frontiers Comput. Sci., 2020

NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information.
BMC Bioinform., 2020

GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA Interactions.
IEEE Access, 2020

Inferring Disease-Associated Piwi-Interacting RNAs via Graph Attention Networks.
Proceedings of the Intelligent Computing Theories and Application, 2020

WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease Associations.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020

Inferring Drug-miRNA Associations by Integrating Drug SMILES and MiRNA Sequence Information.
Proceedings of the Intelligent Computing Theories and Application, 2020

Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network.
Proceedings of the Intelligent Computing Theories and Application, 2020

2019
Hierarchical Transfer Learning Architecture for Low-Resource Neural Machine Translation.
IEEE Access, 2019

In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information.
Proceedings of the Intelligent Computing Theories and Application, 2019

Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting Proteins.
Proceedings of the Intelligent Computing Theories and Application, 2019

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

Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations.
Proceedings of the Intelligent Computing Theories and Application, 2019

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

2018
Prediction of protein self-interactions using stacked long short-term memory from protein sequences information.
BMC Syst. Biol., 2018

RP-FIRF: Prediction of Self-interacting Proteins Using Random Projection Classifier Combining with Finite Impulse Response Filter.
Proceedings of the Intelligent Computing Theories and Application, 2018

2017
Fixed-time stability of dynamical systems and fixed-time synchronization of coupled discontinuous neural networks.
Neural Networks, 2017

2012
Mean Square Stability of Stochastic Impulsive Genetic Regulatory Networks with Mixed Time-Delays.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

2011
Stability Analysis of Genetic Regulatory Networks with Mixed Time-Delays.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011


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