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2020 – today
- 2026
[j32]Xiang Zhang, Wenbing Lv, Lijun Lu, Zanting Ye, Minjie Zhou, Jiajie Duan, Yunshan Su, Shunfang Wang
:
SDHM2T: A scale direction heteroid micro to macro transition network for retinal vessel segmentation. Biomed. Signal Process. Control. 113: 108881 (2026)- [j31]Li Yu, Zimin Yu, Shunfang Wang, Xiang Zhang, Chaowei Chen, Che Zhao, Fubing Yu:
A three-stage network to capture sufficient multi-scale spatial information for skin lesion segmentation. Biomed. Signal Process. Control. 113: 109245 (2026) - [j30]Xiang Zhang, Shunfang Wang, Wenbing Lv, Minjie Zhou, Shanshan Li, Jingjing Yang, Ming Huang, Yunshan Su, Tao Shen:
EAG-SAE-ESTF: An entropy-aware gated network with scale-adaptive enhancement and elastic spatial topology fusion for coronary artery segmentation. Inf. Fusion 126: 103597 (2026) - 2025
- [j29]Zhuokun Tan, Longfei Luo, Jingjing Yang, Xiang Zhang, Zimin Yu, Ming Huang, Shunfang Wang:
EFM2BF: Extraction and fusion of multi-network multi-scale bio-topological features for gene prediction in brain diseases. Comput. Biol. Chem. 119: 108509 (2025) - [j28]Yujie Chun, Huaihu Li, Shunfang Wang:
SS-DTI: A deep learning method integrating semantic and structural information for drug-target interaction prediction. J. Bioinform. Comput. Biol. 23(1): 2550002:1-2550002:25 (2025) - [j27]Xiaohan Zou, Weihua Zheng, Shunfang Wang:
scDVAE:Single-Cell Data Clustering Based on Variational Autoencoder With Disentangled Latent Representations. IEEE Trans. Comput. Biol. Bioinform. 22(6): 2712-2723 (2025) - [j26]Junran Zhao, Yueyi Cai, Shunfang Wang:
Multi-Omics Correlation Reconstruction of Complete Graph Forms Based on the Self-Expressive Learning Network for Cancer Subtype Prediction. IEEE Trans. Comput. Biol. Bioinform. 22(6): 3363-3374 (2025) - [i5]Chaowei Chen, Xiang Zhang, Honglie Guo, Shunfang Wang:
Style-Aware Blending and Prototype-Based Cross-Contrast Consistency for Semi-Supervised Medical Image Segmentation. CoRR abs/2507.20729 (2025) - 2024
- [j25]Yueyi Cai, Shunfang Wang:
Deeply integrating latent consistent representations in high-noise multi-omics data for cancer subtyping. Briefings Bioinform. 25(2) (2024) - [j24]Xinyi Wang, Shunfang Wang:
ACP-PDAFF: Pretrained model and dual-channel attentional feature fusion for anticancer peptides prediction. Comput. Biol. Chem. 112: 108141 (2024) - [j23]Che Zhao, Shunfang Wang:
AttCON: With better MSAs and attention mechanism for accurate protein contact map prediction. Comput. Biol. Medicine 169: 107822 (2024) - [j22]Xiaoyan Wang, Jingjing Yang, Zixiao Peng, Shunfang Wang, Ming Huang:
Hilbert signal envelope-based multi-features methods for GNSS spoofing detection. Comput. Secur. 144: 103959 (2024) - [j21]Yueyi Cai, Shunfang Wang, Junjie Wang, Yu Fei:
One-step multi-view clustering guided by weakened view-specific distribution. Expert Syst. Appl. 251: 124021 (2024) - [j20]Li Yu, Wenwen Min, Shunfang Wang:
Boundary-Aware Gradient Operator Network for Medical Image Segmentation. IEEE J. Biomed. Health Informatics 28(8): 4711-4723 (2024) - [c27]Che Zhao, Shunfang Wang:
AttCON-Homo: Attention and PLMs-enhanced Neural Networks for Predicting Inter-chain Contacts and Distances in Homo-oligomeric Protein Complexes. BCB 2024: 50:1-50:6 - [c26]Lin Huang, Xiaofei Liu, Shunfang Wang, Wenwen Min:
Masked adversarial neural network for cell type deconvolution in spatial transcriptomics. BIBM 2024: 619-622 - [c25]Wenwen Min, Zhen Wang, Fangfang Zhu, Taosheng Xu, Guangsheng Wu, Shunfang Wang:
scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data. BIBM 2024: 1092-1097 - [c24]Xiaoyu Li, Wenwen Min, Shunfang Wang, Changmiao Wang, Taosheng Xu:
Masked Conditional Diffusion Model with GNN for Spatial Transcriptomics Data Imputation. BIBM 2024: 2164-2169 - [c23]Chaowei Chen, Li Yu, Shiquan Min, Shunfang Wang:
MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation. BIBM 2024: 3111-3114 - [c22]Li Yu, Chaowei Chen, Wenwen Min, Che Zhao, Shunfang Wang:
Polymorphic multi-head attention aggregation network for skin lesion segmentation. BIBM 2024: 3935-3938 - [c21]Tianmeng Xu, Yanchao Huang, Tingting Ang, Shuilin Chu, Peiyin Luo, Shunfang Wang, Yufeng Zhang, Lijun Lu, Ganghua Tang, Wenbing Lv:
Difference in Uptake Pattern Heterogeneity and Reproducibility of Radiomics Features Between FAPI and FDG Pet/Ct Imaging of Tumors. ISBI 2024: 1-5 - [c20]Yueyi Cai, Nan Zhou, Junran Zhao, Shunfang Wang:
Learning an Adaptive Self-expressive Fusion Model for Multi-omics Cancer Subtype Prediction. ISBRA (1) 2024: 274-285 - [i4]Xiaoyu Li, Wenwen Min, Shunfang Wang, Changmiao Wang, Taosheng Xu:
stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation. CoRR abs/2403.10863 (2024) - [i3]Lin Huang, Xiaofei Liu, Shunfang Wang, Wenwen Min:
Masked adversarial neural network for cell type deconvolution in spatial transcriptomics. CoRR abs/2408.05065 (2024) - [i2]Wenwen Min, Zhen Wang, Fangfang Zhu, Taosheng Xu, Shunfang Wang:
scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data. CoRR abs/2408.05258 (2024) - [i1]Chaowei Chen, Li Yu, Shiquan Min, Shunfang Wang:
MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation. CoRR abs/2408.13735 (2024) - 2023
- [j19]Weihua Zheng, Wenwen Min, Shunfang Wang:
TsImpute: an accurate two-step imputation method for single-cell RNA-seq data. Bioinform. 39(12) (2023) - [j18]Chang Zhao, Wenbing Lv, Xiang Zhang, Zimin Yu, Shunfang Wang:
MMS-Net: Multi-level multi-scale feature extraction network for medical image segmentation. Biomed. Signal Process. Control. 86(Part C): 105330 (2023) - [j17]Huaihu Li, Shunfang Wang, Weihua Zheng, Li Yu:
Multi-dimensional search for drug-target interaction prediction by preserving the consistency of attention distribution. Comput. Biol. Chem. 107: 107968 (2023) - [j16]Zimin Yu, Li Yu, Weihua Zheng, Shunfang Wang:
EIU-Net: Enhanced feature extraction and improved skip connections in U-Net for skin lesion segmentation. Comput. Biol. Medicine 162: 107081 (2023) - [j15]Hao Shao, Shunfang Wang:
Deep Classification with Linearity-Enhanced Logits to Softmax Function. Entropy 25(5): 727 (2023) - [c19]Xiaoyu Li, Wenwen Min, Jinyu Chen, Jiaxin Wu, Shunfang Wang:
TransVCOX: Bridging Transformer Encoder and Pre-trained VAE for Robust Cancer Multi-Omics Survival Analysis. BIBM 2023: 1254-1259 - [c18]Shiquan Min, Xiang Zhang, Shunfang Wang:
BFP-Net: Boundary Feature Pyramid for Medical Image Segmentation. BIBM 2023: 1362-1367 - 2022
- [j14]Yu He, Shunfang Wang:
SE-BLTCNN: A channel attention adapted deep learning model based on PSSM for membrane protein classification. Comput. Biol. Chem. 98: 107680 (2022) - [j13]Die Zhang, Shunfang Wang:
A protein succinylation sites prediction method based on the hybrid architecture of LSTM network and CNN. J. Bioinform. Comput. Biol. 20(2): 2250003:1-2250003:18 (2022) - [c17]Nan Zhou, Shunfang Wang, Zhuokun Tan:
AEMVC: anchor enhanced multi-omics cancer subtype identification. ISAIMS 2022: 57-63 - 2021
- [j12]Junhua Ye, Shunfang Wang, Xin Yang, Xianjun Tang:
Gene prediction of aging-related diseases based on DNN and Mashup. BMC Bioinform. 22(1): 597 (2021) - [j11]Shunfang Wang, Lin Deng, Xinnan Xia, Zicheng Cao, Yu Fei:
Predicting antifreeze proteins with weighted generalized dipeptide composition and multi-regression feature selection ensemble. BMC Bioinform. 22-S(3): 340 (2021) - [c16]Yingtao Wang, Shunfang Wang:
IMAL: An Improved Meta-learning Approach for Few-shot Classification of Plant Diseases. BIBE 2021: 1-7 - [c15]Huan Yang, Shunfang Wang:
Identifying Enhancers and Their Strength Based on PCWM Feature by A Two-Layer Predictor. BIBE 2021: 29:1-29:8 - [c14]Zhaofeng Li, Shunfang Wang:
DNA protein binding motif prediction based on fusion of expectation pooling and LSTM. ICACI 2021: 273-278 - [c13]Xu Wang, Shunfang Wang:
RNA-binding protein sequence prediction method based on ensemble learning and data over-sampling. ICACI 2021: 323-328 - [c12]Chang Zhao, Shunfang Wang:
Parameter Transfer Learning Measured by Image Similarity to Detect CT of COVID-19. ISBRA 2021: 266-278 - 2020
- [j10]Shunfang Wang, Zicheng Cao, Mingyuan Li, Yaoting Yue:
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. 17(3): 739-747 (2020) - [c11]Haoyi Fu, Zicheng Cao, Mingyuan Li, Xinnan Xia, Shunfang Wang:
Prediction of Anuran Antimicrobial Peptides Using AdaBoost and Improved PSSM Profiles. BIBE 2020: 25:1-25:6 - [c10]Shunfang Wang, Yuan Fang, Xu Wang:
Multi-feature fusion and dimensional reduction based on the two-step deep ontology and the conjoint triad for the identification of cancerlectins. BIBM 2020: 1687-1692
2010 – 2019
- 2019
- [j9]Shunfang Wang, Wenjia Li, Yu Fei, Zicheng Cao, Dongshu Xu, Huanyu Guo:
An Improved Process for Generating Uniform PSSMs and Its Application in Protein Subcellular Localization via Various Global Dimension Reduction Techniques. IEEE Access 7: 42384-42395 (2019) - [j8]Lei Guo, Shunfang Wang, Mingyuan Li, Zicheng Cao:
Accurate classification of membrane protein types based on sequence and evolutionary information using deep learning. BMC Bioinform. 20-S(25): 700 (2019) - [j7]Shunfang Wang, Xiaoheng Wang:
Prediction of protein structural classes by different feature expressions based on 2-D wavelet denoising and fusion. BMC Bioinform. 20-S(25): 701 (2019) - [j6]Shunfang Wang, Mingyuan Li, Lei Guo, Zicheng Cao, Yu Fei:
Efficient utilization on PSSM combining with recurrent neural network for membrane protein types prediction. Comput. Biol. Chem. 81: 9-15 (2019) - [j5]Fang Yuan, Gan Liu, Xiwen Yang, Shunfang Wang, Xueren Wang:
Prediction of oxidoreductase subfamily classes based on RFE-SND-CC-PSSM and machine learning methods. J. Bioinform. Comput. Biol. 17(4): 1950029:1-1950029:25 (2019) - 2018
- [j4]Lei Guo, Shunfang Wang, Zhenfeng Lei, Xueren Wang:
Prediction for Membrane Protein Types Based on Effective Fusion Representation and MIC-GA Feature Selection. IEEE Access 6: 75669-75681 (2018) - [c9]Lin Deng, Yuan Fang, Shunfang Wang, Zicheng Cao:
Using Support Tensor Mechine for Predicting Cell Penetrating Peptides by Fusing DipC and TipC. CISP-BMEI 2018: 1-6 - [c8]Yuan Fang, Lin Deng, Shunfang Wang:
Predicting Membrane Protein Subcellular Localization from Gene Ontology Terms Based on a Deep Learning Model. CISP-BMEI 2018: 1-5 - 2017
- [c7]Lei Guo, Shunfang Wang, Zicheng Cao:
An ensemble classifier based on stacked generalization for predicting membrane protein types. CISP-BMEI 2017: 1-6 - [c6]Yaoting Yue, Shunfang Wang:
Kernel principal component analysis based on semi-supervised dimensionality reduction and its application on protein subnuclear localization. CISP-BMEI 2017: 1-6 - 2016
- [c5]Xiaoli Ruan, Shunfang Wang, Shenshen Liu:
Multi-structure feature fusion for face recognition based on multi-resolution exaction. CISP-BMEI 2016: 291-296 - [c4]Xiaolin Chen, Shunfang Wang, Xiaoli Ruan:
Recognition of partially occluded face by error detection with logarithmic operator and KPCA. CISP-BMEI 2016: 460-464 - [c3]Zhenfeng Lei, Shunfang Wang, Dongshu Xu:
Protein sub-cellular localization based on noise-intensity-weighted linear discriminant analysis and an improved k-nearest-neighbor classifier. CISP-BMEI 2016: 1871-1876 - 2015
- [j3]Shunfang Wang, Ping Liu:
A New Feature Extraction Method Based on the Information Fusion of Entropy Matrix and Covariance Matrix and Its Application in Face Recognition. Entropy 17(7): 4664-4683 (2015) - 2014
- [c2]Xiaolin Chen, Shunfang Wang, Hao Zhang:
A kernel principal component analysis algorithm based on sample selection according to pseudo-eigenvalue contribution. MFI 2014: 1-6 - [c1]Dong Wang, Shunfang Wang:
Improved 2DLDA Algorithm and Its Application in Face Recognition. TrustCom 2014: 707-713 - 2013
- [j2]Shunfang Wang, Xueren Wang:
Statistical inference of risk ratio in a correlated 2 × 2 table with structural zero. Comput. Stat. 28(4): 1599-1615 (2013)
2000 – 2009
- 2006
- [j1]Shunfang Wang, Nian-Sheng Tang, Xueren Wang:
Analysis of the risk difference of marginal and conditional probabilities in an incomplete correlated 2×2 table. Comput. Stat. Data Anal. 50(6): 1597-1614 (2006)
Coauthor Index
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