Zhen Tian

Orcid: 0000-0003-0945-8168

Affiliations:
  • Zhengzhou University, School of Computer and Artificial Intelligence, China
  • University of Electronic Science and Technology of China (UESTC), Yangtze Delta Region Institute, Quzhou, China
  • Harbin institute of technology (HIT), School of Computer Science and Technology, China (PhD 2017)


According to our database1, Zhen Tian authored at least 35 papers between 2016 and 2026.

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Bibliography

2026
Contrastive Variational Graph Symmetric Autoencoder for Full Extrapolation Over Temporal Knowledge Graphs.
IEEE Trans. Syst. Man Cybern. Syst., July, 2026

A Stitch in Time Saves Nine: Progressive Information Bottleneck for Incremental Multiview Clustering.
IEEE Trans. Comput. Soc. Syst., April, 2026

MFCLDTA: Multi-scale feature contrastive learning for predicting drug-target binding affinity.
Expert Syst. Appl., 2026

Adaptive multi-view information bottleneck for multi-omics data clustering.
Briefings Bioinform., 2026

2025
Self-Cumulative Contrastive Graph Clustering.
IEEE CAA J. Autom. Sinica, June, 2025

Enhancing LncRNA-miRNA interaction prediction with multimodal contrastive representation learning.
Briefings Bioinform., May, 2025

MAEST: accurately spatial domain detection in spatial transcriptomics with graph masked autoencoder.
Briefings Bioinform., March, 2025

HSSPPI: hierarchical and spatial-sequential modeling for PPIs prediction.
Briefings Bioinform., March, 2025

DSANIB: Drug-Target Interaction Predictions With Dual-View Synergistic Attention Network and Information Bottleneck Strategy.
IEEE J. Biomed. Health Informatics, February, 2025

Decoupled contrastive multi-view clustering with adaptive false negative elimination for cancer subtyping.
PLoS Comput. Biol., 2025

Few-Shot Object Counting with frequency attention and multi-perception head.
Neurocomputing, 2025

Drug repositioning by collaborative learning based on graph convolutional inductive network.
Future Gener. Comput. Syst., 2025

Hierarchical feature aggregation with mixed attention mechanism for single-cell RNA-seq analysis.
Expert Syst. Appl., 2025

Differentiable graph clustering with structural grouping for single-cell RNA-seq data.
Bioinform., 2025

CDIB: Consistency Discovery-guided Information Bottleneck for Multi-modal Knowledge Graph Reasoning.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Drug-Target Interaction Prediction with Pretrained LLM Feature Learning and Cross-Modal Fusion Strategy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Clustering scRNA-seq data with the cross-view collaborative information fusion strategy.
Briefings Bioinform., November, 2024

MGCNSS: miRNA-disease association prediction with multi-layer graph convolution and distance-based negative sample selection strategy.
Briefings Bioinform., May, 2024

Drug-target interaction predictions with multi-view similarity network fusion strategy and deep interactive attention mechanism.
Bioinform., 2024

2023
Predicting microbe-drug associations with structure-enhanced contrastive learning and self-paced negative sampling strategy.
Briefings Bioinform., March, 2023

GOGCN: Graph Convolutional Network on Gene Ontology for Functional Similarity Analysis of Genes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Learning knowledge graph embedding with a dual-attention embedding network.
Expert Syst. Appl., 2023

2022
A novel gene functional similarity calculation model by utilizing the specificity of terms and relationships in gene ontology.
BMC Bioinform., 2022

MHADTI: predicting drug-target interactions via multiview heterogeneous information network embedding with hierarchical attention mechanisms.
Briefings Bioinform., 2022

Predicting miRNA-disease associations via learning multimodal networks and fusing mixed neighborhood information.
Briefings Bioinform., 2022

2021
ReRF-Pred: predicting amyloidogenic regions of proteins based on their pseudo amino acid composition and tripeptide composition.
BMC Bioinform., 2021

2020
SWE: a novel method with semantic-weighted edge for measuring gene functional similarity.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

A Stacked Ensemble Learning Framework with Heterogeneous Feature Combinations for Predicting ncRNA-Protein Interaction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2018
Computational drug repositioning using meta-path-based semantic network analysis.
BMC Syst. Biol., 2018

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

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

Constructing an integrated gene similarity network for the identification of disease genes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Revealing protein functions based on relationships of interacting proteins and GO terms.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016


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