Chunyu Wang

Orcid: 0000-0002-2965-9920

Affiliations:
  • Harbin Institute of Technology, Harbin, China


According to our database1, Chunyu Wang authored at least 57 papers between 2009 and 2025.

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

Timeline

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Bibliography

2025
Computational approaches for circRNA-disease association prediction: a review.
Frontiers Comput. Sci., April, 2025

Predicting circRNA-Drug Resistance Associations Based on a Multimodal Graph Representation Learning Framework.
IEEE J. Biomed. Health Informatics, March, 2025

Joint Augmentation and Part Learning for Unsupervised Clothing Change Person Re-Identification.
IEEE Trans. Inf. Forensics Secur., 2025

Improving protein-protein interaction modulator predictions via knowledge-fused language models.
Inf. Fusion, 2025

Image-text semantic learning for unsupervised cross-resolution person re-identification.
Expert Syst. Appl., 2025

Identity-Clothing Similarity Modeling for Unsupervised Clothing Change Person Re-Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Inter-Modality Similarity Learning for Unsupervised Multi-Modality Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

A MLP-Mixer and mixture of expert model for remaining useful life prediction of lithium-ion batteries.
Frontiers Comput. Sci., October, 2024

A Hierarchical Graph Neural Network Framework for Predicting Protein-Protein Interaction Modulators With Functional Group Information and Hypergraph Structure.
IEEE J. Biomed. Health Informatics, July, 2024

MAMLCDA: A Meta-Learning Model for Predicting circRNA-Disease Association Based on MAML Combined With CNN.
IEEE J. Biomed. Health Informatics, July, 2024

Cross-Modality Hierarchical Clustering and Refinement for Unsupervised Visible-Infrared Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

AutoEdge-CCP: A novel approach for predicting cancer-associated circRNAs and drugs based on automated edge embedding.
PLoS Comput. Biol., January, 2024

Identification, characterization and expression analysis of circRNA encoded by SARS-CoV-1 and SARS-CoV-2.
Briefings Bioinform., January, 2024

Drug-Target Binding Affinity Prediction in a Continuous Latent Space Using Variational Autoencoders.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Clothing-invariant contrastive learning for unsupervised person re-identification.
Neural Networks, 2024

MIMR: Modality-Invariance Modeling and Refinement for unsupervised visible-infrared person re-identification.
Knowl. Based Syst., 2024

PPII-AEAT: Prediction of protein-protein interaction inhibitors based on autoencoders with adversarial training.
Comput. Biol. Medicine, 2024

Dual-Resolution Fusion Modeling for Unsupervised Cross-Resolution Person Re-Identification.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multimodal Contrastive Learning for Protein-Protein Interaction Inhibitor Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networks.
J. Cheminformatics, December, 2023

DataDTA: a multi-feature and dual-interaction aggregation framework for drug-target binding affinity prediction.
Bioinform., September, 2023

Using a stacked ensemble learning framework to predict modulators of protein-protein interactions.
Comput. Biol. Medicine, July, 2023

Reliability modeling and contrastive learning for unsupervised person re-identification.
Knowl. Based Syst., March, 2023

Camera Invariant Feature Learning for Unsupervised Person Re-Identification.
IEEE Trans. Multim., 2023

Continuous Prompt for Chemical Language Model Aided Anticancer Synergistic Drug Combination Prediction.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encoding.
J. Cheminformatics, 2022

RGCNCDA: Relational graph convolutional network improves circRNA-disease association prediction by incorporating microRNAs.
Comput. Biol. Medicine, 2022

GMNN2CD: identification of circRNA-disease associations based on variational inference and graph Markov neural networks.
Bioinform., 2022

Learning representations for gene ontology terms by jointly encoding graph structure and textual node descriptors.
Briefings Bioinform., 2022

2021
Critical downstream analysis steps for single-cell RNA sequencing data.
Briefings Bioinform., 2021

Pathogenic gene prediction based on network embedding.
Briefings Bioinform., 2021

SeqGO-CPA: Improving Compound-Protein Binding Affinity Prediction with Sequence Information and Gene Ontology Knowledge.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Data fusion-based algorithm for predicting miRNA-Disease associations.
Comput. Biol. Chem., 2020

Identification of Type VI Effector Proteins Using a Novel Ensemble Classifier.
IEEE Access, 2020

Predicting Sub-Golgi Apparatus Resident Protein With Primary Sequence Hybrid Features.
IEEE Access, 2020

Gene Ontology aided Compound Protein Binding Affinity Prediction Using BERT Encoding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

OntoSem: an Ontology Semantic Representation Methodology for Biomedical Domain.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2018
Identification and prioritization of differentially expressed genes for time-series gene expression data.
Frontiers Comput. Sci., 2018

2017
Refine gene functional similarity network based on interaction networks.
BMC Bioinform., 2017

Constructing an integrated gene similarity network for the identification of disease genes.
J. Biomed. Semant., 2017

2016
MiRTDL: A Deep Learning Approach for miRNA Target Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

An improved method for functional similarity analysis of genes based on Gene Ontology.
BMC Syst. Biol., 2016

SGFSC: speeding the gene functional similarity calculation based on hash tables.
BMC Bioinform., 2016

Reconstructing gene regulatory network based on candidate auto selection method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Non-negative Locality-Constrained Linear Coding for Image Classification.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

2014
CPL: Detecting Protein Complexes by Propagating Labels on Protein-Protein Interaction Network.
J. Comput. Sci. Technol., 2014

Inferring the soybean (<i>Glycine max</i>) microRNA functional network based on target gene network.
Bioinform., 2014

SoyFN: a knowledge database of soybean functional networks.
Database J. Biol. Databases Curation, 2014

Identification of functional miRNA regulatory modules and their associations via dynamic miRNA regulatory function.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
A probabilistic model of active learning with multiple noisy oracles.
Neurocomputing, 2013

Lnetwork: an efficient and effective method for constructing phylogenetic networks.
Bioinform., 2013

Measuring gene functional similarity based on group-wise comparison of GO terms.
Bioinform., 2013

Effective constructing training sets for object detection.
Proceedings of the IEEE International Conference on Image Processing, 2013

A new distance computing method for DNA sequences in phylogenetic analysis.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2009
A hybrid clustering and graph based algorithm for tagSNP selection.
Soft Comput., 2009

CGTS: a site-clustering graph based tagSNP selection algorithm in genotype data.
BMC Bioinform., 2009

Novel H/ACA Box snoRNA Mining and Secondary Structure Prediction Algorithms.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009


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