Tianhai Tian - RankMe

75 papers B 1C 1Journal 48Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OmniShift spatial MixFormer generalization network for cross-scene classification of hyperspectral image. Knowl. Based Syst. Xingyu Han, Feng Jiang, Shiping Wen, Tianhai Tian
2025	J	`jnl`	Adaptive option pricing based on a posteriori error estimates for fully discrete finite difference methods. J. Comput. Appl. Math. Mengli Mao, Wansheng Wang, Tianhai Tian, Lehan Wang
2025	J	`jnl`	Kolmogorov-Arnold network-based enhanced fusion transformer for hyperspectral image classification. Inf. Sci. Xingyu Han, Feng Jiang, Shiping Wen, Tianhai Tian
2025	J	`jnl`	MSDIPN: Multi-Scale Deep Interval Prediction Network for Multivariate Time Series. IEEE Trans. Knowl. Data Eng. Feng Jiang, Bo Wu, Shiping Wen, Tianhai Tian
2025	J	`jnl`	Spatiotemporal interactive learning dynamic adaptive graph convolutional network for traffic forecasting. Knowl. Based Syst. Feng Jiang, Xingyu Han, Shiping Wen, Tianhai Tian
2025	J	`jnl`	Tristability and Elite Control in an HIV Infection Model with Natural Killer Cells Effect and Immune Impairment. SIAM J. Appl. Math. Shaoli Wang, Tengfei Wang, Jianhong Wu, Tianhai Tian
2024	J	`jnl`	Bistability and Bifurcations of Tumor Dynamics with Immune Escape and the Chimeric Antigen Receptor T-Cell Therapy. Int. J. Bifurc. Chaos Shaoli Wang, Tengfei Wang, Xiyan Bai, Shaoping Ji, Tianhai Tian
2024	J	`jnl`	TSPLASSO: A Two-Stage Prior LASSO Algorithm for Gene Selection Using Omics Data. IEEE J. Biomed. Health Informatics Sijia Yang, Shunjie Chen, Pei Wang, Aimin Chen, Tianhai Tian
2023	J	`jnl`	An ensemble interval prediction model with change point detection and interval perturbation-based adjustment strategy: A case study of air quality. Expert Syst. Appl. Feng Jiang, Qiannan Zhu, Tianhai Tian
2023	J	`jnl`	Breast Cancer Detection Based on Modified Harris Hawks Optimization and Extreme Learning Machine Embedded with Feature Weighting. Neural Process. Lett. Feng Jiang, Qiannan Zhu, Tianhai Tian
2023	—	`conf`	Computer Simulation of Nonlinear Mixed-Effect Models with Ordinary Differential Equations for Genetic Regulation. ICCMS Aimin Chen, Tianshou Zhou, Tianhai Tian
2023	—	`conf`	Simulations of the insulin-like growth factor receptor signaling pathway with randomly sampled parameters. BIBM Yan Yan, Xinan Zhang, Tianhai Tian
2022	J	`jnl`	Bayesian Inference of Stochastic Dynamic Models Using Early-Rejection Methods Based on Sequential Stochastic Simulations. IEEE ACM Trans. Comput. Biol. Bioinform. Hu Zhang, Jingsong Chen, Tianhai Tian
2022	J	`jnl`	Clustering-based interval prediction of electric load using multi-objective pathfinder algorithm and Elman neural network. Appl. Soft Comput. Feng Jiang, Qiannan Zhu, Jiawei Yang, Guici Chen, Tianhai Tian
2022	J	`jnl`	Growth dynamics of breast cancer stem cells: effects of self-feedback and EMT mechanisms. Theory Biosci. Liuyong Pang, Sanhong Liu, Zhong Zhao, Tianhai Tian, Xinan Zhang, Qiuying Li
2022	J	`jnl`	Inference of Molecular Regulatory Systems Using Statistical Path-Consistency Algorithm. Entropy Yan Yan, Feng Jiang, Xinan Zhang, Tianhai Tian
2022	J	`jnl`	Mathematical Modeling and Analysis of Tumor Chemotherapy. Symmetry Ge Song, Guizhen Liang, Tianhai Tian, Xinan Zhang
2022	J	`jnl`	Mathematical modeling for mutator phenotype and clonal selection advantage in the risk analysis of lung cancer. Theory Biosci. Lingling Li, Ting Zhao, Xingshi He, Xinshe Yang, Tianhai Tian, Xinan Zhang
2022	J	`jnl`	The Linear Relationship Model with LASSO for Studying Stock Networks. Entropy Muzi Chen, Hongjiong Tian, Boyao Wu, Tianhai Tian
2021	—	`conf`	A Bayesian framework for inferring heterogeneity of cellular processes using single-cell data. BIBM Wenlong He, Peng Xia, Xinan Zhang, Tianhai Tian
2021	J	`jnl`	An in-host HIV-1 infection model incorporating quiescent and activated CD4+ T cells as well as CTL response. Appl. Math. Comput. Sutimin, Karunia Putra Wijaya, Joseph Páez Chávez, Tianhai Tian
2021	J	`jnl`	DTFLOW: Inference and Visualization of Single-cell Pseudotime Trajectory Using Diffusion Propagation. Genom. Proteom. Bioinform. Jiangyong Wei, Tianshou Zhou, Xinan Zhang, Tianhai Tian
2021	J	`jnl`	Integrated Inference of Asymmetric Protein Interaction Networks Using Dynamic Model and Individual Patient Proteomics Data. Symmetry Yan Yan, Feng Jiang, Xinan Zhang, Tianhai Tian
2021	J	`jnl`	Online Kernel Learning With Adaptive Bandwidth by Optimal Control Approach. IEEE Trans. Neural Networks Learn. Syst. Jiaming Zhang, Hanwen Ning, Xingjian Jing, Tianhai Tian
2021	J	`jnl`	Spatial Correlation Network and Regional Differences for the Development of Digital Economy in China. Entropy Luyang Tang, Bangke Lu, Tianhai Tian
2020	J	`jnl`	Control-based algorithms for high dimensional online learning. J. Frankl. Inst. Hanwen Ning, Jiaming Zhang, Ting-Ting Feng, Eric King-Wah Chu, Tianhai Tian
2020	J	`jnl`	Development of Stock Networks Using Part Mutual Information and Australian Stock Market Data. Entropy Yan Yan, Boyao Wu, Tianhai Tian, Hu Zhang
2020	—	`conf`	Inference Method for Reconstructing Regulatory Networks Using Statistical Path-Consistency Algorithm and Mutual Information. ICIC (2) Yan Yan, Xinan Zhang, Tianhai Tian
2020	J	`jnl`	Inference of Model Parameters Using Particle Filter Algorithm and Copula Distributions. IEEE ACM Trans. Comput. Biol. Bioinform. Zhimin Deng, Xinan Zhang, Tianhai Tian
2020	J	`jnl`	Mathematical modeling and dynamic analysis of anti-tumor immune response. J. Appl. Math. Comput. Liuyong Pang, Sanhong Liu, Xinan Zhang, Tianhai Tian
2020	C	`conf`	On Finding the Optimal Tree of a Complete Weighted Graph. FedCSIS Seyed Soheil Hosseini, Nick Wormald, Tianhai Tian
2020	—	`conf`	Optimal Tree of a Complete Weighted Graph. WCO@FedCSIS Seyed Soheil Hosseini, Nick Wormald, Tianhai Tian
2019	J	`jnl`	A clustering-based ensemble approach with improved pigeon-inspired optimization and extreme learning machine for air quality prediction. Appl. Soft Comput. Feng Jiang, Jiaqi He, Tianhai Tian
2019	J	`jnl`	Online Identification of Nonlinear Stochastic Spatiotemporal System With Multiplicative Noise by Robust Optimal Control-Based Kernel Learning Method. IEEE Trans. Neural Networks Learn. Syst. Hanwen Ning, Guangyan Qing, Tianhai Tian, Xing Jian Jing
2019	J	`jnl`	Robust Online Learning Method Based on Dynamical Linear Quadratic Regulator. IEEE Access Hanwen Ning, Jiaming Zhang, Xingjian Jing, Tianhai Tian
2019	J	`jnl`	SCOUT: A new algorithm for the inference of pseudo-time trajectory using single-cell data. Comput. Biol. Chem. Jiangyong Wei, Tianshou Zhou, Xinan Zhang, Tianhai Tian
2019	J	`jnl`	The Cost-Effectiveness Analysis and Optimal Strategy of the Tobacco Control. Comput. Math. Methods Medicine Liuyong Pang, Sanhong Liu, Xinan Zhang, Tianhai Tian
2018	—	`conf`	Development of Stock Correlation Network Models Using Maximum Likelihood Method and Stock Big Data. BigComp Xue Guo, Hu Zhang, Feng Jiang, Tianhai Tian
2018	J	`jnl`	Guest Editorial for Special Section on BIBM 2015. IEEE ACM Trans. Comput. Biol. Bioinform. Tianhai Tian, Jingshan Huang
2018	—	`conf`	Inference of protein-protein networks for triple-negative breast cancer using single-patient proteomic data. BIBM Yan Yan, Jiangyong Wei, Xiaohua Hu, Tianhai Tian
2018	—	`conf`	Mathematical Modelling of Genetic Network for Regulating the Fate Determination of Hematopoietic Stem Cells. BIBM Siyuan Wu, Tiangang Cui, Tianhai Tian
2018	J	`jnl`	Mutation Mechanisms of Human Breast Cancer. J. Comput. Biol. Lingling Li, Tianhai Tian, Xinan Zhang
2017	—	`conf`	Mathematical model for pancreatic cancer progression using non-constant gene mutation rate. BIBM Shuhao Sun, Fima C. Klebaner, Tianhai Tian
2017	J	`jnl`	Mathematical modelling for variations of inbreeding populations fitness with single and polygenic traits. BMC Genom. Shuhao Sun, Fima C. Klebaner, Tianhai Tian
2016	—	`conf`	Copula particle filter algorithm for inferring parameters of regulatory network models with noisy observation data. BIBM Zhimin Deng, Xingan Zhang, Tianhai Tian
2016	—	`ed.`	IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016, Shenzhen, China, December 15-18, 2016 BIBM Tianhai Tian, Qinghua Jiang, Yunlong Liu, Kevin Burrage, Jiangning Song, Yadong Wang, Xiaohua Hu, Shinichi Morishita, Qian Zhu, Guohua Wang
2016	—	`conf`	Inference of Term Structure Models. IIKI Yanli Zhou, Xiangyu Ge, Yonghong Wu, Tianhai Tian
2016	—	`conf`	Inference of genetic regulatory network for stem cell using single cells expression data. BIBM Jiangyong Wei, Xiaohua Hu, Xiufen Zou, Tianhai Tian
2016	—	`conf`	Preface. BIBM Yadong Wang, Kevin Burrage, Yunlong Liu, Shinichi Morishita, Tianhai Tian, Qinghua Jiang, Jiangning Song, Guohua Wang, Qian Zhu, Xiaohua Tony Hu
2015	—	`conf`	A new approach for estimating probability of metastasis at diagnosis. BIBM Shuhao Sun, Fima C. Klebaner, Tianhai Tian
2015	—	`conf`	Integrated study to infer dynamic protein-gene interactions in human p53 regulatory networks. BIBM Junbai Wang, Qianqian Wu, Tianhai Tian
2015	J	`jnl`	Sensitivity and Robustness Analysis for Stochastic Model of Nanog Gene Regulatory Network. Int. J. Bifurc. Chaos Qianqian Wu, Feng Jiang, Tianhai Tian
2015	—	`conf`	Volatility Analysis of Chinese Stock Market Using High-Frequency Financial Big Data. SmartCity Tongtong Dong, Bowei Yang, Tianhai Tian
2014	—	`conf`	A New Mathematical Model for Inbreeding Depression in Large Populations. ISBRA Shuhao Sun, Fima C. Klebaner, Tianhai Tian
2014	J	`jnl`	A continuous optimization approach for inferring parameters in mathematical models of regulatory networks. BMC Bioinform. Zhimin Deng, Tianhai Tian
2014	J	`jnl`	A new model of time scheme for progression of colorectal cancer. BMC Syst. Biol. Shuhao Sun, Fima C. Klebaner, Tianhai Tian
2014	J	`jnl`	Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density. BMC Bioinform. Qianqian Wu, Kate Smith-Miles, Tianhai Tian
2014	J	`jnl`	Mathematical modeling of GATA-switching for regulating the differentiation of hematopoietic stem cell. BMC Syst. Biol. Tianhai Tian, Kate Smith-Miles
2014	J	`jnl`	Simplified stochastic models with time delay for studying the degradation process of mRNA molecules. Int. J. Data Min. Bioinform. Tianhai Tian
2013	—	`conf`	A new mathematical model for progression of colorectal cancer. BIBM Shuhao Sun, Fima C. Klebaner, Tianhai Tian
2013	—	`conf`	Approximate Bayesian computation for estimating rate constants in biochemical reaction systems. BIBM Qianqian Wu, Kate Smith-Miles, Tianhai Tian
2013	J	`jnl`	Stochastic modelling of biochemical systems of multi-step reactions using a simplified two-variable model. BMC Syst. Biol. Qianqian Wu, Kate Smith-Miles, Tianshou Zhou, Tianhai Tian
2013	J	`jnl`	Translational Bioinformatics and Computational Systems Medicine. Comput. Math. Methods Medicine Bairong Shen, Hong-Bin Shen, Tianhai Tian, Qiang Lü, Guang Hu
2012	—	`conf`	A two-variable model for stochastic modelling of chemical events with multi-step reactions. BIBM Qianqian Wu, Kate Smith-Miles, Tianhai Tian
2011	—	`conf`	Stochastic Models for Studying the Degradation of mRNA Molecules. BIBM Tianhai Tian
2010	J	`jnl`	Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53. BMC Bioinform. Junbai Wang, Tianhai Tian
2010	J	`jnl`	Steady State Solution and Stability of an Age-Structured MSIQR Epidemic Model. Intell. Inf. Manag. Meihong Qiao, Huan Qi, Tianhai Tian
2010	J	`jnl`	Stochastic models for inferring genetic regulation from microarray gene expression data. Biosyst. Tianhai Tian
2009	—	`conf`	Estimation of Kinetic Rates of MAP Kinase Activation from Experimental Data. IJCBS Tianhai Tian
2007	J	`jnl`	Simulated maximum likelihood method for estimating kinetic rates in gene expression. Bioinform. Tianhai Tian, Songlin Xu, Junbin Gao, Kevin Burrage
2006	—	`conf`	Accelerated Leap Methods for Simulating Discrete Stochastic Chemical Kinetics. POSTA Kevin Burrage, Shev Mac, Tianhai Tian
2006	J	`jnl`	Oscillatory Regulation of Hes1: Discrete Stochastic Delay Modelling and Simulation. PLoS Comput. Biol. Manuel Barrio, Kevin Burrage, André Leier, Tianhai Tian
2005	—	`conf`	A Mathematical Model for Genetic Regulation of the Lactose Operon. ICCSA (2) Tianhai Tian, Kevin Burrage
2003	B	`conf`	Stochastic neural network models for gene regulatory networks. IEEE Congress on Evolutionary Computation Tianhai Tian, Kevin Burrage
2002	J	`jnl`	Predictor-Corrector Methods of Runge-Kutta Type for Stochastic Differential Equations. SIAM J. Numer. Anal. Kevin Burrage, Tianhai Tian