Immersed Interface Method for elliptic equations based on a piecewise second order polynomial. - Jianping Zhao 001; Yanren Hou; Yongfei Li (Comput. Math. Appl., 2012)

Error analysis of a fully discrete finite element variational multiscale method for the natural convection problem. - Yunzhang Zhang; Yanren Hou; Jianping Zhao 001 (Comput. Math. Appl., 2014)

Two-Level Penalty Newton Iterative Method for the 2D/3D Stationary Incompressible Magnetohydrodynamics Equations. - Haiyan Su; Xinlong Feng; Jianping Zhao 001 (J. Sci. Comput., 2017)

A compact integrated RBF method for time fractional convection-diffusion-reaction equations. - Yuanyang Qiao; Jianping Zhao 001; Xinlong Feng (Comput. Math. Appl., 2019)

A Petrov-Galerkin finite element method for simulating chemotaxis models on stationary surfaces. - Shubo Zhao; Xufeng Xiao; Jianping Zhao 001; Xinlong Feng (Comput. Math. Appl., 2020)

An efficient operator-splitting FEM-FCT algorithm for 3D chemotaxis models. - Xueling Huang; Xufeng Xiao; Jianping Zhao 001; Xinlong Feng (Eng. Comput., 2020)

How to obtain an accurate gradient for interface problems? - Fenghua Tong; Weilong Wang; Xinlong Feng; Jianping Zhao 001; Zhilin Li 002 (J. Comput. Phys., 2020)

On Two-Level Oseen Penalty Iteration Methods for the 2D/3D Stationary Incompressible Magnetohydronamics. - Haiyan Su; Xinlong Feng; Jianping Zhao 001 (J. Sci. Comput., 2020)

SNEMO: Spectral Clustering Based on the Neighborhood for Multi-omics Data. - Qi Guan; Jianping Zhao 001; Chunhou Zheng 001 (ICIC (3), 2021)

SHDC: A Method of Similarity Measurement Using Heat Kernel Based on Denoising for Clustering scRNA-seq Data. - Jian-ping Zhao 001; Hai-Yun Wang; Chun-Hou Zheng 001 (ICIC (3), 2021)

Identification of driver genes based on gene mutational effects and network centrality. - Yun-Yun Tang; Pi-Jing Wei; Jian-ping Zhao 001; Junfeng Xia; Rui-Fen Cao; Chun-Hou Zheng 001 (BMC Bioinform., 2021)

Clustering of cancer data based on Stiefel manifold for multiple views. - Jing Tian; Jianping Zhao 001; Chunhou Zheng 001 (BMC Bioinform., 2021)

NeuroPred-CLQ: incorporating deep temporal convolutional networks and multi-head attention mechanism to predict neuropeptides. - Shouzhi Chen; Qing Li; Jianping Zhao 001; Yannan Bin; Chunhou Zheng 001 (Briefings Bioinform., 2022)

scCNC: a method based on capsule network for clustering scRNA-seq data. - Hai-Yun Wang; Jian-Ping Zhao 001; Chun-Hou Zheng 001; Yan-Sen Su (Bioinform., 2022)

iEnhancer-DCLA: using the original sequence to identify enhancers and their strength based on a deep learning framework. - Meng Liao; Jian-ping Zhao 001; Jing Tian; Chun-Hou Zheng 001 (BMC Bioinform., 2022)

DeeProPre: A promoter predictor based on deep learning. - Zhi-Wen Ma; Jianping Zhao 001; Jing Tian; Chun-Hou Zheng 001 (Comput. Biol. Chem., 2022)

iPromoter-CLA: Identifying promoters and their strength by deep capsule networks with bidirectional long short-term memory. - Zhi-min Zhang; Jian-ping Zhao 001; Pi-Jing Wei; Chun-Hou Zheng 001 (Comput. Methods Programs Biomed., 2022)

scCDG: A Method Based on DAE and GCN for scRNA-Seq Data Analysis. - Hai-Yun Wang; Jian-ping Zhao 001; Yan-Sen Su; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

scDSSC: Deep Sparse Subspace Clustering for scRNA-seq Data. - Haiyun Wang; Jianping Zhao 001; Chunhou Zheng 001; Yansen Su (PLoS Comput. Biol., 2022)

scAEQN: A Batch Correction Joint Dimension Reduction Method on scRNA-seq Data. - Sining Song; Demin Liu; Haiyun Wang; Jianping Zhao 001; Chunhou Zheng 001; Yansen Su (BIC, 2023)

An Integrated Method Based on Wasserstein Distance and Graph for Cancer Subtype Discovery. - Qingqing Cao; Jianping Zhao 001; Hai-Yun Wang; Qi Guan; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation. - Shouzhi Chen; Yanhong Liao; Jianping Zhao 001; Yannan Bin; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

scGMAAE: Gaussian mixture adversarial autoencoders for diversification analysis of scRNA-seq data. - Hai-Yun Wang; Jian-Ping Zhao 001; Chun-Hou Zheng 001; Yan-Sen Su (Briefings Bioinform., 2023)

A priori error estimates of Crank-Nicolson finite element method for parabolic optimal control problems. - Xindan Zhang; Jianping Zhao 001; Yanren Hou (Comput. Math. Appl., 2023)

scSemiAAE: a semi-supervised clustering model for single-cell RNA-seq data. - Zile Wang; Haiyun Wang; Jianping Zhao 001; Chunhou Zheng 001 (BMC Bioinform., 2023)

scHyper: reconstructing cell-cell communication through hypergraph neural networks. - Wenying Li; Haiyun Wang; Jianping Zhao 001; Junfeng Xia; Xiaoqiang Sun (Briefings Bioinform., 2024)

UsIL-6: An unbalanced learning strategy for identifying IL-6 inducing peptides by undersampling technique. - Yanhong Liao; Shouzhi Chen; Yannan Bin; Jianping Zhao 001; Xinlong Feng; Chun-Hou Zheng 001 (Comput. Methods Programs Biomed., 2024)

scVSC: Deep Variational Subspace Clustering for Single-Cell Transcriptome Data. - Zile Wang; Hai-Yun Wang; Jianping Zhao 001; Junfeng Xia; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Vegetation coverage precisely extracting and driving factors analysis in drylands. - Haolin Wang; Dongwei Gui; Qi Liu; Xinlong Feng; Jia Qu; Jianping Zhao 001; Guangyan Wang; Guanghui Wei (Ecol. Informatics, 2024)

MultiPep-DLCL: recognition of multifunctional therapeutic peptides through deep learning with label-sequence contrastive learning. - Ting Li; Henghui Fan; Jianping Zhao 001; Xiaomei Yang; Junfeng Xia (Briefings Bioinform., 2025)

Protein language model-based prediction for plant miRNA encoded peptides. - Yishan Yue; Henghui Fan; Jianping Zhao 001; Junfeng Xia (PeerJ Comput. Sci., 2025)

scDMSC: Deep Multi-View Subspace Clustering for Single-Cell Multi-Omics Data. - Zile Wang; Fengyu Lei; Xiaoping Shi; Jianping Zhao 001; Junfeng Xia (IEEE J. Biomed. Health Informatics, 2025)