Geng Tian

According to our database, Geng Tian authored at least 27 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Convergence Analysis of Split Federated Learning on Heterogeneous Data.

Pengchao Han, Chao Huang, Geng Tian, Ming Tang, Xin Liu

CoRR, 2024

2023

Pan-cancer analyses reveal the stratification of patient prognosis by viral composition in tumor tissues.

Yumeng Zhang, Lei Ji, Huakai Wen, Yuwen Chu, Xingwei Wang, Geng Tian, Yuhua Yao, Jialiang Yang

Comput. Biol. Medicine, December, 2023

Drug repositioning based on weighted local information augmented graph neural network.

Yajie Meng, Yi Wang, Junlin Xu, Changcheng Lu, Xianfang Tang, Tao Peng, Ben-gong Zhang, Geng Tian, Jialiang Yang

Briefings Bioinform., November, 2023

MLSpatial: A machine-learning method to reconstruct the spatial distribution of cells from scRNA-seq by extracting spatial features.

Mengbo Zhu, Changjun Li, Kebo Lv, Hongzhe Guo, Rui Hou, Geng Tian, Jialiang Yang

Comput. Biol. Medicine, June, 2023

Spatial-Temporal Graph Network for Video Crowd Counting.

Zhe Wu, Xinfeng Zhang, Geng Tian, Yaowei Wang, Qingming Huang

IEEE Trans. Circuits Syst. Video Technol., 2023

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

Chao Huang, Geng Tian, Ming Tang

CoRR, 2023

Automatic Intelligent Chronic Kidney Disease Detection in Healthcare 5.0.

Geng Tian, Amir Rehman, Huanlai Xing, Li Feng, Nighat Gulzar, Abid Hussain

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.

Kaimei Huang, Binghu Lin, Jinyang Liu, Yankun Liu, Jingwu Li, Geng Tian, Jialiang Yang

Bioinform., November, 2022

A multi-omics machine learning framework in predicting the survival of colorectal cancer patients.

Min Yang, Huandong Yang, Lei Ji, Xuan Hu, Geng Tian, Bing Wang, Jialiang Yang

Comput. Biol. Medicine, 2022

Evaluating the performance of dropout imputation and clustering methods for single-cell RNA sequencing data.

Junlin Xu, Lingyu Cui, Jujuan Zhuang, Yajie Meng, Pingping Bing, Binsheng He, Geng Tian, Choi Kwok Pui, Taoyang Wu, Bing Wang, Jialiang Yang

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.

Yuhua Yao, Yaping Lv, Ling Tong, Yuebin Liang, Shuxue Xi, Binbin Ji, Guanglu Zhang, Ling Li, Geng Tian, Min Tang, Xiyue Hu, Shijun Li, Jialiang Yang

Briefings Bioinform., 2022

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

Binsheng He, Kun Wang, Ju Xiang, Pingping Bing, Min Tang, Geng Tian, Cheng Guo, Miao Xu, Jialiang Yang

Briefings Bioinform., 2022

Recognition effect of models based on different microscope objectives.

Geng Tian, Xiaohang Li, Yi Wu, Ao Liu, Ying Zhang, Yifei Ma, Wenhui Guo, Xiaoli Sun, Bangze Fu, Da Li

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.

Caglar Koylu, Geng Tian, Mary Windsor

CoRR, 2021

Influences of puff protocols and upper airway anatomy on cannabis pharmacokinetics: A CFPD-PK study.

Jianan Zhao, Yu Feng, Geng Tian, Cassandra Taylor, N. Sarah Arden

Comput. Biol. Medicine, 2021

A Streamlined scRNA-Seq Data Analysis Framework Based on Improved Sparse Subspace Clustering.

Jujuan Zhuang, Lingyu Cui, Tianqi Qu, Changjing Ren, Junlin Xu, Tianbao Li, Geng Tian, Jialiang Yang

IEEE Access, 2021

2020

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

Junlin Xu, Wen Zhu, Lijun Cai, Bo Liao, Yajie Meng, Ju Xiang, Dawei Yuan, Geng Tian, Jialiang Yang

IEEE Access, 2020

2019

Quality risk assessment and mitigation of pharmaceutical continuous manufacturing using flowsheet modeling approach.

Geng Tian, Abdollah Koolivand, Nilou S. Arden, Sau Lee, Thomas O'Connor

Comput. Chem. Eng., 2019

2017

CEFF: An efficient approach for traffic anomaly detection and classification.

Geng Tian, Zhiliang Wang, Xia Yin, Jun Chen, Xingang Shi, Chao Zhou, Zimu Li, Yingya Guo

Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

2015

TADOOP: Mining Network Traffic Anomalies with Hadoop.

Geng Tian, Zhiliang Wang, Xia Yin, Zimu Li, Xingang Shi, Ziyi Lu, Chao Zhou, Yang Yu, Dan Wu

Proceedings of the Security and Privacy in Communication Networks, 2015

Mining network traffic anomaly based on adjustable piecewise entropy.

Geng Tian, Zhiliang Wang, Xia Yin, Zimu Li, Xingang Shi, Ziyi Lu, Chao Zhou, Yang Yu, Yingya Guo

Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

Adjustable Piecewise Entropy for network traffic anomaly detection.

Geng Tian, Zhiliang Wang, Xia Yin, Zimu Li, Xingang Shi, Ziyi Lu, Chao Zhou, Yingya Guo

Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015

2014

An effectiveness-based adaptive cache replacement policy.

Geng Tian, Michael Liebelt

Microprocess. Microsystems, 2014

2013

Recommending scientific articles using bi-relational graph-based iterative RWR.

Geng Tian, Liping Jing

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

2012

Analysis of Reputation Speculation Behavior in China's C2C E-Commerce Market.

Geng Tian, Hui Peng, Chao Sun, Yijun Li

J. Comput., 2012

2011

Estimation of allele frequency and association mapping using next-generation sequencing data.

Su Yeon Kim, Kirk E. Lohmueller, Anders Albrechtsen, Yingrui Li, Thorfinn Korneliussen, Geng Tian, Niels Grarup, Tao Jiang, Gitte Andersen, Daniel Witte, Torben Jørgensen, Torben Hansen, Oluf Pedersen, Jun Wang, Rasmus Nielsen

BMC Bioinform., 2011

2010

Analysis of the correlation properties of digital satellite signals and their applicability in bistatic remote sensing.

Rashmi Shah, James L. Garrison, Michael S. Grant, Stephen J. Katzberg, Geng Tian

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010