Predictor-Corrector Methods of Runge-Kutta Type for Stochastic Differential Equations. - Kevin Burrage; Tianhai Tian (SIAM J. Numer. Anal., 2002)

Stochastic neural network models for gene regulatory networks. - Tianhai Tian; Kevin Burrage (IEEE Congress on Evolutionary Computation, 2003)

A Mathematical Model for Genetic Regulation of the Lactose Operon. - Tianhai Tian; Kevin Burrage (ICCSA (2), 2005)

Accelerated Leap Methods for Simulating Discrete Stochastic Chemical Kinetics. - Kevin Burrage; Shev Mac; Tianhai Tian (POSTA, 2006)

Oscillatory Regulation of Hes1: Discrete Stochastic Delay Modelling and Simulation. - Manuel Barrio; Kevin Burrage; André Leier; Tianhai Tian (PLoS Comput. Biol., 2006)

Simulated maximum likelihood method for estimating kinetic rates in gene expression. - Tianhai Tian; Songlin Xu; Junbin Gao; Kevin Burrage (Bioinform., 2007)

Estimation of Kinetic Rates of MAP Kinase Activation from Experimental Data. - Tianhai Tian (IJCBS, 2009)

Stochastic models for inferring genetic regulation from microarray gene expression data. - Tianhai Tian (Biosyst., 2010)

Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53. - Junbai Wang; Tianhai Tian (BMC Bioinform., 2010)

Steady State Solution and Stability of an Age-Structured MSIQR Epidemic Model. - Meihong Qiao; Huan Qi; Tianhai Tian (Intell. Inf. Manag., 2010)

Stochastic Models for Studying the Degradation of mRNA Molecules. - Tianhai Tian (BIBM, 2011)

A two-variable model for stochastic modelling of chemical events with multi-step reactions. - Qianqian Wu; Kate Smith-Miles; Tianhai Tian (BIBM, 2012)

A new mathematical model for progression of colorectal cancer. - Shuhao Sun; Fima C. Klebaner; Tianhai Tian (BIBM, 2013)

Approximate Bayesian computation for estimating rate constants in biochemical reaction systems. - Qianqian Wu; Kate Smith-Miles; Tianhai Tian (BIBM, 2013)

Stochastic modelling of biochemical systems of multi-step reactions using a simplified two-variable model. - Qianqian Wu; Kate Smith-Miles; Tianshou Zhou; Tianhai Tian (BMC Syst. Biol., 2013)

Translational Bioinformatics and Computational Systems Medicine. - Bairong Shen; Hong-Bin Shen; Tianhai Tian; Qiang Lü; Guang Hu 001 (Comput. Math. Methods Medicine, 2013)

A New Mathematical Model for Inbreeding Depression in Large Populations. - Shuhao Sun; Fima C. Klebaner; Tianhai Tian (ISBRA, 2014)

A continuous optimization approach for inferring parameters in mathematical models of regulatory networks. - Zhimin Deng; Tianhai Tian (BMC Bioinform., 2014)

Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density. - Qianqian Wu; Kate Smith-Miles; Tianhai Tian (BMC Bioinform., 2014)

A new model of time scheme for progression of colorectal cancer. - Shuhao Sun; Fima C. Klebaner; Tianhai Tian (BMC Syst. Biol., 2014)

Mathematical modeling of GATA-switching for regulating the differentiation of hematopoietic stem cell. - Tianhai Tian; Kate Smith-Miles (BMC Syst. Biol., 2014)

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

A new approach for estimating probability of metastasis at diagnosis. - Shuhao Sun; Fima C. Klebaner; Tianhai Tian (BIBM, 2015)

Integrated study to infer dynamic protein-gene interactions in human p53 regulatory networks. - Junbai Wang; Qianqian Wu; Tianhai Tian (BIBM, 2015)

Volatility Analysis of Chinese Stock Market Using High-Frequency Financial Big Data. - Tongtong Dong; Bowei Yang; Tianhai Tian (SmartCity, 2015)

Sensitivity and Robustness Analysis for Stochastic Model of Nanog Gene Regulatory Network. - Qianqian Wu; Feng Jiang; Tianhai Tian (Int. J. Bifurc. Chaos, 2015)

Copula particle filter algorithm for inferring parameters of regulatory network models with noisy observation data. - Zhimin Deng; Xingan Zhang; Tianhai Tian (BIBM, 2016)

Preface. - Yadong Wang; Kevin Burrage; Yunlong Liu; Shinichi Morishita; Tianhai Tian; Qinghua Jiang; Jiangning Song; Guohua Wang; Qian Zhu; Xiaohua Tony Hu (BIBM, 2016)

Inference of genetic regulatory network for stem cell using single cells expression data. - Jiangyong Wei; Xiaohua Hu 001; Xiufen Zou; Tianhai Tian (BIBM, 2016)

Inference of Term Structure Models. - Yanli Zhou; Xiangyu Ge; Yonghong Wu; Tianhai Tian (IIKI, 2016)

Mathematical model for pancreatic cancer progression using non-constant gene mutation rate. - Shuhao Sun; Fima C. Klebaner; Tianhai Tian (BIBM, 2017)

Mathematical modelling for variations of inbreeding populations fitness with single and polygenic traits. - Shuhao Sun; Fima C. Klebaner; Tianhai Tian (BMC Genom., 2017)

Mathematical Modelling of Genetic Network for Regulating the Fate Determination of Hematopoietic Stem Cells. - Siyuan Wu; Tiangang Cui; Tianhai Tian (BIBM, 2018)

Inference of protein-protein networks for triple-negative breast cancer using single-patient proteomic data. - Yan Yan; Jiangyong Wei; Xiaohua Hu 001; Tianhai Tian (BIBM, 2018)

Development of Stock Correlation Network Models Using Maximum Likelihood Method and Stock Big Data. - Xue Guo; Hu Zhang; Feng Jiang; Tianhai Tian (BigComp, 2018)

Mutation Mechanisms of Human Breast Cancer. - Lingling Li; Tianhai Tian; Xinan Zhang 002 (J. Comput. Biol., 2018)

Guest Editorial for Special Section on BIBM 2015. - Tianhai Tian; Jingshan Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Robust Online Learning Method Based on Dynamical Linear Quadratic Regulator. - Hanwen Ning; Jiaming Zhang 002; Xingjian Jing; Tianhai Tian (IEEE Access, 2019)

A clustering-based ensemble approach with improved pigeon-inspired optimization and extreme learning machine for air quality prediction. - Feng Jiang 003; Jiaqi He; Tianhai Tian (Appl. Soft Comput., 2019)

SCOUT: A new algorithm for the inference of pseudo-time trajectory using single-cell data. - Jiangyong Wei; Tianshou Zhou; Xinan Zhang 002; Tianhai Tian (Comput. Biol. Chem., 2019)

The Cost-Effectiveness Analysis and Optimal Strategy of the Tobacco Control. - Liuyong Pang; Sanhong Liu; Xinan Zhang 002; Tianhai Tian (Comput. Math. Methods Medicine, 2019)

Online Identification of Nonlinear Stochastic Spatiotemporal System With Multiplicative Noise by Robust Optimal Control-Based Kernel Learning Method. - Hanwen Ning; Guangyan Qing; Tianhai Tian; Xing Jian Jing (IEEE Trans. Neural Networks Learn. Syst., 2019)

On Finding the Optimal Tree of a Complete Weighted Graph. - Seyed Soheil Hosseini; Nick Wormald; Tianhai Tian (FedCSIS, 2020)

Optimal Tree of a Complete Weighted Graph. - Seyed Soheil Hosseini; Nick Wormald; Tianhai Tian (WCO@FedCSIS, 2020)

Inference Method for Reconstructing Regulatory Networks Using Statistical Path-Consistency Algorithm and Mutual Information. - Yan Yan; Xinan Zhang 002; Tianhai Tian (ICIC (2), 2020)

Development of Stock Networks Using Part Mutual Information and Australian Stock Market Data. - Yan Yan; Boyao Wu; Tianhai Tian; Hu Zhang (Entropy, 2020)

Control-based algorithms for high dimensional online learning. - Hanwen Ning; Jiaming Zhang 002; Ting-Ting Feng; Eric King-Wah Chu; Tianhai Tian (J. Frankl. Inst., 2020)

Inference of Model Parameters Using Particle Filter Algorithm and Copula Distributions. - Zhimin Deng; Xinan Zhang 002; Tianhai Tian (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Mathematical modeling and dynamic analysis of anti-tumor immune response. - Liuyong Pang; Sanhong Liu; Xinan Zhang 002; Tianhai Tian (J. Appl. Math. Comput., 2020)

A Bayesian framework for inferring heterogeneity of cellular processes using single-cell data. - Wenlong He; Peng Xia; Xinan Zhang 002; Tianhai Tian (BIBM, 2021)

An in-host HIV-1 infection model incorporating quiescent and activated CD4+ T cells as well as CTL response. - Sutimin; Karunia Putra Wijaya; Joseph Páez Chávez; Tianhai Tian (Appl. Math. Comput., 2021)

Spatial Correlation Network and Regional Differences for the Development of Digital Economy in China. - Luyang Tang; Bangke Lu; Tianhai Tian (Entropy, 2021)

DTFLOW: Inference and Visualization of Single-cell Pseudotime Trajectory Using Diffusion Propagation. - Jiangyong Wei; Tianshou Zhou; Xinan Zhang 002; Tianhai Tian (Genom. Proteom. Bioinform., 2021)

Integrated Inference of Asymmetric Protein Interaction Networks Using Dynamic Model and Individual Patient Proteomics Data. - Yan Yan; Feng Jiang; Xinan Zhang 002; Tianhai Tian (Symmetry, 2021)

Online Kernel Learning With Adaptive Bandwidth by Optimal Control Approach. - Jiaming Zhang 002; Hanwen Ning; Xingjian Jing; Tianhai Tian (IEEE Trans. Neural Networks Learn. Syst., 2021)

Clustering-based interval prediction of electric load using multi-objective pathfinder algorithm and Elman neural network. - Feng Jiang; Qiannan Zhu; Jiawei Yang; Guici Chen; Tianhai Tian (Appl. Soft Comput., 2022)

The Linear Relationship Model with LASSO for Studying Stock Networks. - Muzi Chen; Hongjiong Tian; Boyao Wu; Tianhai Tian (Entropy, 2022)

Inference of Molecular Regulatory Systems Using Statistical Path-Consistency Algorithm. - Yan Yan; Feng Jiang; Xinan Zhang 002; Tianhai Tian (Entropy, 2022)

Mathematical Modeling and Analysis of Tumor Chemotherapy. - Ge Song; Guizhen Liang; Tianhai Tian; Xinan Zhang 002 (Symmetry, 2022)

Bayesian Inference of Stochastic Dynamic Models Using Early-Rejection Methods Based on Sequential Stochastic Simulations. - Hu Zhang; Jingsong Chen; Tianhai Tian (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Mathematical modeling for mutator phenotype and clonal selection advantage in the risk analysis of lung cancer. - Lingling Li; Ting Zhao; Xingshi He; Xinshe Yang; Tianhai Tian; Xinan Zhang 002 (Theory Biosci., 2022)

Growth dynamics of breast cancer stem cells: effects of self-feedback and EMT mechanisms. - Liuyong Pang; Sanhong Liu; Zhong Zhao; Tianhai Tian; Xinan Zhang 002; Qiuying Li (Theory Biosci., 2022)

Simulations of the insulin-like growth factor receptor signaling pathway with randomly sampled parameters. - Yan Yan; Xinan Zhang 002; Tianhai Tian (BIBM, 2023)

Computer Simulation of Nonlinear Mixed-Effect Models with Ordinary Differential Equations for Genetic Regulation. - Aimin Chen; Tianshou Zhou; Tianhai Tian (ICCMS, 2023)

Breast Cancer Detection Based on Modified Harris Hawks Optimization and Extreme Learning Machine Embedded with Feature Weighting. - Feng Jiang; Qiannan Zhu; Tianhai Tian (Neural Process. Lett., 2023)

An ensemble interval prediction model with change point detection and interval perturbation-based adjustment strategy: A case study of air quality. - Feng Jiang; Qiannan Zhu; Tianhai Tian (Expert Syst. Appl., 2023)

TSPLASSO: A Two-Stage Prior LASSO Algorithm for Gene Selection Using Omics Data. - Sijia Yang; Shunjie Chen; Pei Wang 004; Aimin Chen; Tianhai Tian (IEEE J. Biomed. Health Informatics, 2024)

Bistability and Bifurcations of Tumor Dynamics with Immune Escape and the Chimeric Antigen Receptor T-Cell Therapy. - Shaoli Wang; Tengfei Wang; Xiyan Bai; Shaoping Ji; Tianhai Tian (Int. J. Bifurc. Chaos, 2024)

Kolmogorov-Arnold network-based enhanced fusion transformer for hyperspectral image classification. - Xingyu Han; Feng Jiang; Shiping Wen 001; Tianhai Tian (Inf. Sci., 2025)

Adaptive option pricing based on a posteriori error estimates for fully discrete finite difference methods. - Mengli Mao; Wansheng Wang; Tianhai Tian; Lehan Wang (J. Comput. Appl. Math., 2025)

Spatiotemporal interactive learning dynamic adaptive graph convolutional network for traffic forecasting. - Feng Jiang; Xingyu Han; Shiping Wen 001; Tianhai Tian (Knowl. Based Syst., 2025)

Tristability and Elite Control in an HIV Infection Model with Natural Killer Cells Effect and Immune Impairment. - Shaoli Wang; Tengfei Wang; Jianhong Wu; Tianhai Tian (SIAM J. Appl. Math., 2025)

MSDIPN: Multi-Scale Deep Interval Prediction Network for Multivariate Time Series. - Feng Jiang; Bo Wu; Shiping Wen 001; Tianhai Tian (IEEE Trans. Knowl. Data Eng., 2025)