Geng Tian

Orcid: 0000-0001-5731-8413

According to our database1, Geng Tian authored at least 37 papers between 2010 and 2025.

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

Timeline

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On csauthors.net:

Bibliography

2025
SWMA-UNet: Multi-Path Attention Network for Improved Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, May, 2025

Enhancing Drug Repositioning Through Local Interactive Learning With Bilinear Attention Networks.
IEEE J. Biomed. Health Informatics, March, 2025

Generalization of Urban Wind Environment Using Fourier Neural Operator Across Different Wind Directions and Cities.
CoRR, January, 2025

DO-GMA: An End-to-End Drug-Target Interaction Identification Framework with a Depthwise Overparameterized Convolutional Network and the Gated Multihead Attention Mechanism.
J. Chem. Inf. Model., 2025

Prediction of colorectal cancer microsatellite instability and tumor mutational burden from histopathological images using multiple instance learning.
Biomed. Signal Process. Control., 2025

MMsurv: a multimodal multi-instance multi-cancer survival prediction model integrating pathological images, clinical information, and sequencing data.
Briefings Bioinform., 2025

2024
Modeling Multivariable High-resolution 3D Urban Microclimate Using Localized Fourier Neural Operator.
CoRR, 2024

Convergence Analysis of Split Federated Learning on Heterogeneous Data.
CoRR, 2024

Unveiling the distinctive variations in multi-omics triggered by TP53 mutation in lung cancer subtypes: An insight from interaction among intratumoral microbiota, tumor microenvironment, and pathology.
Comput. Biol. Chem., 2024

LDA-VGHB: identifying potential lncRNA-disease associations with singular value decomposition, variational graph auto-encoder and heterogeneous Newton boosting machine.
Briefings Bioinform., 2024

Convergence Analysis of Split Federated Learning on Heterogeneous Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Pan-cancer analyses reveal the stratification of patient prognosis by viral composition in tumor tissues.
Comput. Biol. Medicine, December, 2023

Drug repositioning based on weighted local information augmented graph neural network.
Briefings Bioinform., November, 2023

MLSpatial: A machine-learning method to reconstruct the spatial distribution of cells from scRNA-seq by extracting spatial features.
Comput. Biol. Medicine, June, 2023

Spatial-Temporal Graph Network for Video Crowd Counting.
IEEE Trans. Circuits Syst. Video Technol., 2023

When MiniBatch SGD Meets SplitFed Learning: Convergence Analysis and Performance Evaluation.
CoRR, 2023

Automatic Intelligent Chronic Kidney Disease Detection in Healthcare 5.0.
Proceedings of the 22nd IEEE International Conference on Trust, 2023

2022
Predicting colorectal cancer tumor mutational burden from histopathological images and clinical information using multi-modal deep learning.
Bioinform., November, 2022

A multi-omics machine learning framework in predicting the survival of colorectal cancer patients.
Comput. Biol. Medicine, 2022

Evaluating the performance of dropout imputation and clustering methods for single-cell RNA sequencing data.
Comput. Biol. Medicine, 2022

ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data.
Briefings Bioinform., 2022

DGHNE: network enhancement-based method in identifying disease-causing genes through a heterogeneous biomedical network.
Briefings Bioinform., 2022

Recognition effect of models based on different microscope objectives.
Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences, 2022

2021
FlowMapper.org: A web-based framework for designing origin-destination flow maps.
CoRR, 2021

Influences of puff protocols and upper airway anatomy on cannabis pharmacokinetics: A CFPD-PK study.
Comput. Biol. Medicine, 2021

A Streamlined scRNA-Seq Data Analysis Framework Based on Improved Sparse Subspace Clustering.
IEEE Access, 2021

2020
LRMCMDA: Predicting miRNA-Disease Association by Integrating Low-Rank Matrix Completion With miRNA and Disease Similarity Information.
IEEE Access, 2020

2019
Quality risk assessment and mitigation of pharmaceutical continuous manufacturing using flowsheet modeling approach.
Comput. Chem. Eng., 2019

2017
CEFF: An efficient approach for traffic anomaly detection and classification.
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

2015
TADOOP: Mining Network Traffic Anomalies with Hadoop.
Proceedings of the Security and Privacy in Communication Networks, 2015

Mining network traffic anomaly based on adjustable piecewise entropy.
Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

Adjustable Piecewise Entropy for network traffic anomaly detection.
Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015

2014
An effectiveness-based adaptive cache replacement policy.
Microprocess. Microsystems, 2014

2013
Recommending scientific articles using bi-relational graph-based iterative RWR.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

2012
Analysis of Reputation Speculation Behavior in China's C2C E-Commerce Market.
J. Comput., 2012

2011
Estimation of allele frequency and association mapping using next-generation sequencing data.
BMC Bioinform., 2011

2010
Analysis of the correlation properties of digital satellite signals and their applicability in bistatic remote sensing.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010


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