Tianhai Tian

Orcid: 0000-0001-6191-0209

According to our database1, Tianhai Tian authored at least 68 papers between 2002 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Bistability and Bifurcations of Tumor Dynamics with Immune Escape and the Chimeric Antigen Receptor T-Cell Therapy.
Int. J. Bifurc. Chaos, February, 2024

TSPLASSO: A Two-Stage Prior LASSO Algorithm for Gene Selection Using Omics Data.
IEEE J. Biomed. Health Informatics, January, 2024

2023
An ensemble interval prediction model with change point detection and interval perturbation-based adjustment strategy: A case study of air quality.
Expert Syst. Appl., July, 2023

Breast Cancer Detection Based on Modified Harris Hawks Optimization and Extreme Learning Machine Embedded with Feature Weighting.
Neural Process. Lett., 2023

Computer Simulation of Nonlinear Mixed-Effect Models with Ordinary Differential Equations for Genetic Regulation.
Proceedings of the 15th International Conference on Computer Modeling and Simulation, 2023

Simulations of the insulin-like growth factor receptor signaling pathway with randomly sampled parameters.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Growth dynamics of breast cancer stem cells: effects of self-feedback and EMT mechanisms.
Theory Biosci., 2022

Mathematical modeling for mutator phenotype and clonal selection advantage in the risk analysis of lung cancer.
Theory Biosci., 2022

Bayesian Inference of Stochastic Dynamic Models Using Early-Rejection Methods Based on Sequential Stochastic Simulations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Mathematical Modeling and Analysis of Tumor Chemotherapy.
Symmetry, 2022

Inference of Molecular Regulatory Systems Using Statistical Path-Consistency Algorithm.
Entropy, 2022

The Linear Relationship Model with LASSO for Studying Stock Networks.
Entropy, 2022

Clustering-based interval prediction of electric load using multi-objective pathfinder algorithm and Elman neural network.
Appl. Soft Comput., 2022

2021
Online Kernel Learning With Adaptive Bandwidth by Optimal Control Approach.
IEEE Trans. Neural Networks Learn. Syst., 2021

Integrated Inference of Asymmetric Protein Interaction Networks Using Dynamic Model and Individual Patient Proteomics Data.
Symmetry, 2021

DTFLOW: Inference and Visualization of Single-cell Pseudotime Trajectory Using Diffusion Propagation.
Genom. Proteom. Bioinform., 2021

Spatial Correlation Network and Regional Differences for the Development of Digital Economy in China.
Entropy, 2021

An in-host HIV-1 infection model incorporating quiescent and activated CD4+ T cells as well as CTL response.
Appl. Math. Comput., 2021

A Bayesian framework for inferring heterogeneity of cellular processes using single-cell data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Mathematical modeling and dynamic analysis of anti-tumor immune response.
J. Appl. Math. Comput., February, 2020

Inference of Model Parameters Using Particle Filter Algorithm and Copula Distributions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Control-based algorithms for high dimensional online learning.
J. Frankl. Inst., 2020

Development of Stock Networks Using Part Mutual Information and Australian Stock Market Data.
Entropy, 2020

Inference Method for Reconstructing Regulatory Networks Using Statistical Path-Consistency Algorithm and Mutual Information.
Proceedings of the Intelligent Computing Theories and Application, 2020

Optimal Tree of a Complete Weighted Graph.
Proceedings of the Recent Advances in Computational Optimization, 2020

On Finding the Optimal Tree of a Complete Weighted Graph.
Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

2019
Online Identification of Nonlinear Stochastic Spatiotemporal System With Multiplicative Noise by Robust Optimal Control-Based Kernel Learning Method.
IEEE Trans. Neural Networks Learn. Syst., 2019

The Cost-Effectiveness Analysis and Optimal Strategy of the Tobacco Control.
Comput. Math. Methods Medicine, 2019

SCOUT: A new algorithm for the inference of pseudo-time trajectory using single-cell data.
Comput. Biol. Chem., 2019

A clustering-based ensemble approach with improved pigeon-inspired optimization and extreme learning machine for air quality prediction.
Appl. Soft Comput., 2019

Robust Online Learning Method Based on Dynamical Linear Quadratic Regulator.
IEEE Access, 2019

2018
Guest Editorial for Special Section on BIBM 2015.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Mutation Mechanisms of Human Breast Cancer.
J. Comput. Biol., 2018

Development of Stock Correlation Network Models Using Maximum Likelihood Method and Stock Big Data.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

Inference of protein-protein networks for triple-negative breast cancer using single-patient proteomic data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Mathematical Modelling of Genetic Network for Regulating the Fate Determination of Hematopoietic Stem Cells.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Mathematical modelling for variations of inbreeding populations fitness with single and polygenic traits.
BMC Genom., 2017

Mathematical model for pancreatic cancer progression using non-constant gene mutation rate.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Inference of Term Structure Models.
Proceedings of the International Conference on Identification, 2016

Inference of genetic regulatory network for stem cell using single cells expression data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Preface.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Copula particle filter algorithm for inferring parameters of regulatory network models with noisy observation data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Sensitivity and Robustness Analysis for Stochastic Model of Nanog Gene Regulatory Network.
Int. J. Bifurc. Chaos, 2015

Volatility Analysis of Chinese Stock Market Using High-Frequency Financial Big Data.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

Integrated study to infer dynamic protein-gene interactions in human p53 regulatory networks.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

A new approach for estimating probability of metastasis at diagnosis.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Simplified stochastic models with time delay for studying the degradation process of mRNA molecules.
Int. J. Data Min. Bioinform., 2014

Mathematical modeling of GATA-switching for regulating the differentiation of hematopoietic stem cell.
BMC Syst. Biol., 2014

A new model of time scheme for progression of colorectal cancer.
BMC Syst. Biol., 2014

Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density.
BMC Bioinform., 2014

A continuous optimization approach for inferring parameters in mathematical models of regulatory networks.
BMC Bioinform., 2014

A New Mathematical Model for Inbreeding Depression in Large Populations.
Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014

2013
Translational Bioinformatics and Computational Systems Medicine.
Comput. Math. Methods Medicine, 2013

Stochastic modelling of biochemical systems of multi-step reactions using a simplified two-variable model.
BMC Syst. Biol., 2013

Approximate Bayesian computation for estimating rate constants in biochemical reaction systems.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

A new mathematical model for progression of colorectal cancer.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
A two-variable model for stochastic modelling of chemical events with multi-step reactions.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
Stochastic Models for Studying the Degradation of mRNA Molecules.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
Steady State Solution and Stability of an Age-Structured MSIQR Epidemic Model.
Intell. Inf. Manag., 2010

Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53.
BMC Bioinform., 2010

Stochastic models for inferring genetic regulation from microarray gene expression data.
Biosyst., 2010

2009
Estimation of Kinetic Rates of MAP Kinase Activation from Experimental Data.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

2007
Simulated maximum likelihood method for estimating kinetic rates in gene expression.
Bioinform., 2007

2006
Oscillatory Regulation of Hes1: Discrete Stochastic Delay Modelling and Simulation.
PLoS Comput. Biol., 2006

Accelerated Leap Methods for Simulating Discrete Stochastic Chemical Kinetics.
Proceedings of the Positive Systems, 2006

2005
A Mathematical Model for Genetic Regulation of the Lactose Operon.
Proceedings of the Computational Science and Its Applications, 2005

2003
Stochastic neural network models for gene regulatory networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Predictor-Corrector Methods of Runge-Kutta Type for Stochastic Differential Equations.
SIAM J. Numer. Anal., 2002


  Loading...