Shunfang Wang - RankMe

69 papers B 1C 3Journal 41Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Label-Free Framework for GNSS Spoofing and Jamming Detection With Cluster-Level Semantic Inference. IEEE Commun. Lett. Qi Yao, Jingjing Yang, Shunfang Wang, Zhe Xiao, Ming Huang
2026	J	`jnl`	A three-stage network to capture sufficient multi-scale spatial information for skin lesion segmentation. Biomed. Signal Process. Control. Li Yu, Zimin Yu, Shunfang Wang, Xiang Zhang, Chaowei Chen, Che Zhao, Fubing Yu
2026	J	`jnl`	EAG-SAE-ESTF: An entropy-aware gated network with scale-adaptive enhancement and elastic spatial topology fusion for coronary artery segmentation. Inf. Fusion Xiang Zhang, Shunfang Wang, Wenbing Lv, Minjie Zhou, Shanshan Li, Jingjing Yang, Ming Huang, Yunshan Su, Tao Shen
2026	J	`jnl`	Integration of interpretable multi-features and multi-loss functions for multi-functional therapeutic peptide prediction via dataset construction. Comput. Biol. Chem. Xinyi Wang, Minjie Zhou, Yunshan Su, Shunfang Wang
2026	J	`jnl`	SDHM2T: A scale direction heteroid micro to macro transition network for retinal vessel segmentation. Biomed. Signal Process. Control. Xiang Zhang, Wenbing Lv, Lijun Lu, Zanting Ye, Minjie Zhou, Jiajie Duan, Yunshan Su, Shunfang Wang
2025	J	`jnl`	EFM2BF: Extraction and fusion of multi-network multi-scale bio-topological features for gene prediction in brain diseases. Comput. Biol. Chem. Zhuokun Tan, Longfei Luo, Jingjing Yang, Xiang Zhang, Zimin Yu, Ming Huang, Shunfang Wang
2025	J	`jnl`	IGCLAPS: an interpretable graph contrastive learning method with adaptive positive sampling for scRNA-seq data analysis. Bioinform. Weihua Zheng, Wenwen Min, Shunfang Wang
2025	J	`jnl`	Interval-Shared Information Integration and False-Negative Association Reduction in Multi-Source MiRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics Qinghang Cui, Honglie Guo, Yueyi Cai, Yu Fei, Shunfang Wang
2025	J	`jnl`	Multi-Omics Correlation Reconstruction of Complete Graph Forms Based on the Self-Expressive Learning Network for Cancer Subtype Prediction. IEEE Trans. Comput. Biol. Bioinform. Junran Zhao, Yueyi Cai, Shunfang Wang
2025	J	`jnl`	SS-DTI: A deep learning method integrating semantic and structural information for drug-target interaction prediction. J. Bioinform. Comput. Biol. Yujie Chun, Huaihu Li, Shunfang Wang
2025	—	`conf`	Style-Aware Blending and Prototype-Based Cross-Contrast Consistency for Semi-Supervised Medical Image Segmentation. BIBM Chaowei Chen, Xiang Zhang, Honglie Guo, Shunfang Wang
2025	J	`jnl`	Style-Aware Blending and Prototype-Based Cross-Contrast Consistency for Semi-Supervised Medical Image Segmentation. CoRR Chaowei Chen, Xiang Zhang, Honglie Guo, Shunfang Wang
2025	J	`jnl`	scDVAE:Single-Cell Data Clustering Based on Variational Autoencoder With Disentangled Latent Representations. IEEE Trans. Comput. Biol. Bioinform. Xiaohan Zou, Weihua Zheng, Shunfang Wang
2024	J	`jnl`	ACP-PDAFF: Pretrained model and dual-channel attentional feature fusion for anticancer peptides prediction. Comput. Biol. Chem. Xinyi Wang, Shunfang Wang
2024	—	`conf`	AttCON-Homo: Attention and PLMs-enhanced Neural Networks for Predicting Inter-chain Contacts and Distances in Homo-oligomeric Protein Complexes. BCB Che Zhao, Shunfang Wang
2024	J	`jnl`	AttCON: With better MSAs and attention mechanism for accurate protein contact map prediction. Comput. Biol. Medicine Che Zhao, Shunfang Wang
2024	J	`jnl`	Boundary-Aware Gradient Operator Network for Medical Image Segmentation. IEEE J. Biomed. Health Informatics Li Yu, Wenwen Min, Shunfang Wang
2024	J	`jnl`	Deeply integrating latent consistent representations in high-noise multi-omics data for cancer subtyping. Briefings Bioinform. Yueyi Cai, Shunfang Wang
2024	—	`conf`	Difference in Uptake Pattern Heterogeneity and Reproducibility of Radiomics Features Between FAPI and FDG Pet/Ct Imaging of Tumors. ISBI Tianmeng Xu, Yanchao Huang, Tingting Ang, Shuilin Chu, Peiyin Luo, Shunfang Wang, Yufeng Zhang, Lijun Lu, Ganghua Tang, Wenbing Lv
2024	J	`jnl`	Hilbert signal envelope-based multi-features methods for GNSS spoofing detection. Comput. Secur. Xiaoyan Wang, Jingjing Yang, Zixiao Peng, Shunfang Wang, Ming Huang
2024	—	`conf`	Learning an Adaptive Self-expressive Fusion Model for Multi-omics Cancer Subtype Prediction. ISBRA (1) Yueyi Cai, Nan Zhou, Junran Zhao, Shunfang Wang
2024	—	`conf`	MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation. BIBM Chaowei Chen, Li Yu, Shiquan Min, Shunfang Wang
2024	J	`jnl`	MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation. CoRR Chaowei Chen, Li Yu, Shiquan Min, Shunfang Wang
2024	—	`conf`	Masked Conditional Diffusion Model with GNN for Spatial Transcriptomics Data Imputation. BIBM Xiaoyu Li, Wenwen Min, Shunfang Wang, Changmiao Wang, Taosheng Xu
2024	—	`conf`	Masked adversarial neural network for cell type deconvolution in spatial transcriptomics. BIBM Lin Huang, Xiaofei Liu, Shunfang Wang, Wenwen Min
2024	J	`jnl`	Masked adversarial neural network for cell type deconvolution in spatial transcriptomics. CoRR Lin Huang, Xiaofei Liu, Shunfang Wang, Wenwen Min
2024	J	`jnl`	One-step multi-view clustering guided by weakened view-specific distribution. Expert Syst. Appl. Yueyi Cai, Shunfang Wang, Junjie Wang, Yu Fei
2024	—	`conf`	Polymorphic multi-head attention aggregation network for skin lesion segmentation. BIBM Li Yu, Chaowei Chen, Wenwen Min, Che Zhao, Shunfang Wang
2024	—	`conf`	scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data. BIBM Wenwen Min, Zhen Wang, Fangfang Zhu, Taosheng Xu, Guangsheng Wu, Shunfang Wang
2024	J	`jnl`	scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data. CoRR Wenwen Min, Zhen Wang, Fangfang Zhu, Taosheng Xu, Shunfang Wang
2024	J	`jnl`	stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation. CoRR Xiaoyu Li, Wenwen Min, Shunfang Wang, Changmiao Wang, Taosheng Xu
2023	—	`conf`	BFP-Net: Boundary Feature Pyramid for Medical Image Segmentation. BIBM Shiquan Min, Xiang Zhang, Shunfang Wang
2023	J	`jnl`	Deep Classification with Linearity-Enhanced Logits to Softmax Function. Entropy Hao Shao, Shunfang Wang
2023	J	`jnl`	EIU-Net: Enhanced feature extraction and improved skip connections in U-Net for skin lesion segmentation. Comput. Biol. Medicine Zimin Yu, Li Yu, Weihua Zheng, Shunfang Wang
2023	J	`jnl`	MMS-Net: Multi-level multi-scale feature extraction network for medical image segmentation. Biomed. Signal Process. Control. Chang Zhao, Wenbing Lv, Xiang Zhang, Zimin Yu, Shunfang Wang
2023	J	`jnl`	Multi-dimensional search for drug-target interaction prediction by preserving the consistency of attention distribution. Comput. Biol. Chem. Huaihu Li, Shunfang Wang, Weihua Zheng, Li Yu
2023	—	`conf`	TransVCOX: Bridging Transformer Encoder and Pre-trained VAE for Robust Cancer Multi-Omics Survival Analysis. BIBM Xiaoyu Li, Wenwen Min, Jinyu Chen, Jiaxin Wu, Shunfang Wang
2023	J	`jnl`	TsImpute: an accurate two-step imputation method for single-cell RNA-seq data. Bioinform. Weihua Zheng, Wenwen Min, Shunfang Wang
2022	J	`jnl`	A protein succinylation sites prediction method based on the hybrid architecture of LSTM network and CNN. J. Bioinform. Comput. Biol. Die Zhang, Shunfang Wang
2022	—	`conf`	AEMVC: anchor enhanced multi-omics cancer subtype identification. ISAIMS Nan Zhou, Shunfang Wang, Zhuokun Tan
2022	J	`jnl`	SE-BLTCNN: A channel attention adapted deep learning model based on PSSM for membrane protein classification. Comput. Biol. Chem. Yu He, Shunfang Wang
2021	—	`conf`	DNA protein binding motif prediction based on fusion of expectation pooling and LSTM. ICACI Zhaofeng Li, Shunfang Wang
2021	J	`jnl`	Gene prediction of aging-related diseases based on DNN and Mashup. BMC Bioinform. Junhua Ye, Shunfang Wang, Xin Yang, Xianjun Tang
2021	C	`conf`	IMAL: An Improved Meta-learning Approach for Few-shot Classification of Plant Diseases. BIBE Yingtao Wang, Shunfang Wang
2021	C	`conf`	Identifying Enhancers and Their Strength Based on PCWM Feature by A Two-Layer Predictor. BIBE Huan Yang, Shunfang Wang
2021	—	`conf`	Parameter Transfer Learning Measured by Image Similarity to Detect CT of COVID-19. ISBRA Chang Zhao, Shunfang Wang
2021	J	`jnl`	Predicting antifreeze proteins with weighted generalized dipeptide composition and multi-regression feature selection ensemble. BMC Bioinform. Shunfang Wang, Lin Deng, Xinnan Xia, Zicheng Cao, Yu Fei
2021	—	`conf`	RNA-binding protein sequence prediction method based on ensemble learning and data over-sampling. ICACI Xu Wang, Shunfang Wang
2020	J	`jnl`	G-DipC: An Improved Feature Representation Method for Short Sequences to Predict the Type of Cargo in Cell-Penetrating Peptides. IEEE ACM Trans. Comput. Biol. Bioinform. Shunfang Wang, Zicheng Cao, Mingyuan Li, Yaoting Yue
2020	—	`conf`	Multi-feature fusion and dimensional reduction based on the two-step deep ontology and the conjoint triad for the identification of cancerlectins. BIBM Shunfang Wang, Yuan Fang, Xu Wang
2020	C	`conf`	Prediction of Anuran Antimicrobial Peptides Using AdaBoost and Improved PSSM Profiles. BIBE Haoyi Fu, Zicheng Cao, Mingyuan Li, Xinnan Xia, Shunfang Wang
2019	J	`jnl`	Accurate classification of membrane protein types based on sequence and evolutionary information using deep learning. BMC Bioinform. Lei Guo, Shunfang Wang, Mingyuan Li, Zicheng Cao
2019	J	`jnl`	An Improved Process for Generating Uniform PSSMs and Its Application in Protein Subcellular Localization via Various Global Dimension Reduction Techniques. IEEE Access Shunfang Wang, Wenjia Li, Yu Fei, Zicheng Cao, Dongshu Xu, Huanyu Guo
2019	J	`jnl`	Efficient utilization on PSSM combining with recurrent neural network for membrane protein types prediction. Comput. Biol. Chem. Shunfang Wang, Mingyuan Li, Lei Guo, Zicheng Cao, Yu Fei
2019	J	`jnl`	Prediction of oxidoreductase subfamily classes based on RFE-SND-CC-PSSM and machine learning methods. J. Bioinform. Comput. Biol. Fang Yuan, Gan Liu, Xiwen Yang, Shunfang Wang, Xueren Wang
2019	J	`jnl`	Prediction of protein structural classes by different feature expressions based on 2-D wavelet denoising and fusion. BMC Bioinform. Shunfang Wang, Xiaoheng Wang
2018	—	`conf`	Predicting Membrane Protein Subcellular Localization from Gene Ontology Terms Based on a Deep Learning Model. CISP-BMEI Yuan Fang, Lin Deng, Shunfang Wang
2018	J	`jnl`	Prediction for Membrane Protein Types Based on Effective Fusion Representation and MIC-GA Feature Selection. IEEE Access Lei Guo, Shunfang Wang, Zhenfeng Lei, Xueren Wang
2018	—	`conf`	Using Support Tensor Mechine for Predicting Cell Penetrating Peptides by Fusing DipC and TipC. CISP-BMEI Lin Deng, Yuan Fang, Shunfang Wang, Zicheng Cao
2017	—	`conf`	An ensemble classifier based on stacked generalization for predicting membrane protein types. CISP-BMEI Lei Guo, Shunfang Wang, Zicheng Cao
2017	—	`conf`	Kernel principal component analysis based on semi-supervised dimensionality reduction and its application on protein subnuclear localization. CISP-BMEI Yaoting Yue, Shunfang Wang
2016	—	`conf`	Multi-structure feature fusion for face recognition based on multi-resolution exaction. CISP-BMEI Xiaoli Ruan, Shunfang Wang, Shenshen Liu
2016	—	`conf`	Protein sub-cellular localization based on noise-intensity-weighted linear discriminant analysis and an improved k-nearest-neighbor classifier. CISP-BMEI Zhenfeng Lei, Shunfang Wang, Dongshu Xu
2016	—	`conf`	Recognition of partially occluded face by error detection with logarithmic operator and KPCA. CISP-BMEI Xiaolin Chen, Shunfang Wang, Xiaoli Ruan
2015	J	`jnl`	A New Feature Extraction Method Based on the Information Fusion of Entropy Matrix and Covariance Matrix and Its Application in Face Recognition. Entropy Shunfang Wang, Ping Liu
2014	—	`conf`	A kernel principal component analysis algorithm based on sample selection according to pseudo-eigenvalue contribution. MFI Xiaolin Chen, Shunfang Wang, Hao Zhang
2014	B	`conf`	Improved 2DLDA Algorithm and Its Application in Face Recognition. TrustCom Dong Wang, Shunfang Wang
2013	J	`jnl`	Statistical inference of risk ratio in a correlated 2 × 2 table with structural zero. Comput. Stat. Shunfang Wang, Xueren Wang
2006	J	`jnl`	Analysis of the risk difference of marginal and conditional probabilities in an incomplete correlated 2×2 table. Comput. Stat. Data Anal. Shunfang Wang, Nian-Sheng Tang, Xueren Wang