百晓学者学者目录

王顺芳

博士生导师、教授,云南大学

精选作品

期刊论文

2026

Local Feature Supplementation Network for Polyp Segmentation

Shanshan Li, Shunfang Wang

2026 5th International Symposium on Computer Applications and Information Technology (ISCAIT)

2026

CBRR: A correlation-based redundancy reduction framework with multi-omics multi-level fusion for cancer subtype prediction

Junran Zhao, Tao Ouyang, Qinghang Cui, Xin Wu, Jing Chai, Tao Shen, Shunfang Wang

Expert Systems with Applications

2026

WTMCNet: A wavelet transform multi-scale channel-mixing network for breast ultrasound image segmentation

Jiajie Duan, Xiang Zhang, 苏云衫, Shunfang Wang

Biomedical Signal Processing and Control

2026

Unlocking biological insight from single-cell data with an interpretable dual-stream foundation model

Honglie Guo, Qinghang Cui, Xiang Zhang, Chao‐Wei Chen, Weihua Zheng, Changfeng Cai, Xinyi Wang, Shunfang Wang

Genome biology

2026

SPMFE-UNet: shape perception and multi-scale features enhancement UNet for robust abdominal organ and skin lesion segmentation

Jiuming Bao, Xiang Zhang, Xinyi Wang, Tao Shen, Shunfang Wang

Biomedical Physics & Engineering Express

2026

Integration of interpretable multi-features and multi-loss functions for multi-functional therapeutic peptide prediction via dataset construction

Xinyi Wang, Xinyi Wang, Minjie Zhou, 苏云衫, Shunfang Wang

Computational Biology and Chemistry

2026

GPG-Net: graph-prior-guided breast ultrasound image segmentation network

Jiajie Duan, Shunfang Wang

2025

跨域小样本农业病虫害图像分类算法

封凡,王顺芳

《计算机工程与设计》

2025

Style-Aware Blending and Prototype-Based Cross-Contrast Consistency for Semi-Supervised Medical Image Segmentation

Chaowei Chen, Xiang Zhang, Honglie Guo, Shunfang Wang

IEEE International Conference on Bioinformatics and Biomedicine

2025

scDVAE:Single-Cell Data Clustering Based on Variational Autoencoder With Disentangled Latent Representations

Xiao-Han Zou, Weihua Zheng, Shunfang Wang

IEEE Transactions on Computational Biology and Bioinformatics

2025

Graph Mask Contrastive Autoencoder for MiRNA-Disease Association Prediction

Qing-Hang Cui, Honglie Guo, Shunfang Wang

2025 IEEE 5th International Conference on Computer Communication and Artificial Intelligence (CCAI)

2025

IGCLAPS: an interpretable graph contrastive learning method with adaptive positive sampling for scRNA-seq data analysis

Weihua Zheng, Wenwen Min, Shunfang Wang

Bioinform.

2025

EFM2BF: Extraction and fusion of multi-network multi-scale bio-topological features for gene prediction in brain diseases

Zhuokun Tan, Long-Fei Luo, Jing-Jing Yang, Xiang Zhang, Zimin Yu, Ming Huang, Shunfang Wang

Comput. Biol. Chem.

2025

Multi-Omics Correlation Reconstruction of Complete Graph Forms Based on the Self-Expressive Learning Network for Cancer Subtype Prediction

Junran Zhao, Yueyi Cai, Shunfang Wang

IEEE Transactions on Computational Biology and Bioinformatics

2025

EAG-SAE-ESTF: An entropy-aware gated network with scale-adaptive enhancement and elastic spatial topology fusion for coronary artery segmentation

Xiang Zhang, Shunfang Wang, Wenbing Lv, Minjie Zhou, Shanshan Li, Jingjing Yang, Ming Yu Huang, Yunshan Su, Tao Shen

Information Fusion

2025

Interval-Shared Information Integration and False-Negative Association Reduction in Multi-Source MiRNA-Disease Association Prediction

Qinghang Cui, Honglie Guo, Yueyi Cai, Yu Fei, Shunfang Wang

IEEE Journal of Biomedical and Health Informatics

2025

CSSEC: An adaptive approach integrating consensus and specific self-expressive coefficients for multi-omics cancer subtyping

Yueyi Cai, Nan Zhou, Junran Zhao, Weihua Li, Shunfang Wang

Methods

2025

SS-DTI: A deep learning method integrating semantic and structural information for drug-target interaction prediction

Yujie Chun, Huaihu Li, Shunfang Wang

Journal of Bioinformatics and Computational Biology

2025

A three-stage network to capture sufficient multi-scale spatial information for skin lesion segmentation

Li Yu, Zimin Yu, Shunfang Wang, Xiang Zhang, Chao‐Wei Chen, Che Zhao, Fubing Yu

Biomedical Signal Processing and Control

2025

SDHM2T: A scale direction heteroid micro to macro transition network for retinal vessel segmentation

Xiang Zhang, Wenbing Lv, Lijun Lu, Zhaoxiang Ye, Minjie Zhou, Jie Duan, Yunshan Su, Shunfang Wang

Biomedical Signal Processing and Control

2025

scSNOT: Single-cell multi-omics clustering method based on minibatch unbalanced optimal transport and study-specific adaptive normalization

Xiaohan Zou, Shunfang Wang

International Conference on Biomedical and Intelligent Systems (IC-BIS)

2024

基于FAVOR+和增强损失的蛋白溶解预测

杨子航,王顺芳

《计算机工程与设计》

2024

基于多检查结果融合的MCI进展预测方法

董浩然,王顺芳

《计算机工程与设计》

2024

多尺度和边界融合的皮肤病变区域分割网络

王国凯,张翔,王顺芳

《计算机科学与探索》

2024

Masked adversarial neural network for cell type deconvolution in spatial transcriptomics

Lin Huang, Xiao-Fei Liu, Shunfang Wang, Wen-Wen Min

IEEE International Conference on Bioinformatics and Biomedicine

2024

Masked Conditional Diffusion Model with GNN for Spatial Transcriptomics Data Imputation

Xiaoyu Li, Wen-Wen Min, Shunfang Wang, Chang-Miao Wang, Taosheng Xu

IEEE International Conference on Bioinformatics and Biomedicine

2024

MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation

Chaowei Chen, Li Yu, Shi-Quan Min, Shunfang Wang

IEEE International Conference on Bioinformatics and Biomedicine

2024

scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data

Wenwen Min, Zhen Wang, Fangfang Zhu, Taosheng Xu, Guang-Sheng Wu, Shunfang Wang

IEEE International Conference on Bioinformatics and Biomedicine

2024

Polymorphic multi-head attention aggregation network for skin lesion segmentation

Li Yu, Chaowei Chen, Wen-Wen Min, Che Zhao, Shunfang Wang

IEEE International Conference on Bioinformatics and Biomedicine

2024

Deep clustering representation of spatially resolved transcriptomics data using multi-view variational graph auto-encoders with consensus clustering

Jinyun Niu, Fangfang Zhu, Taosheng Xu, Shunfang Wang, Wen-Wen Min

Computational and Structural Biotechnology Journal

2024

AttCON-Homo: Attention and PLMs-enhanced Neural Networks for Predicting Inter-chain Contacts and Distances in Homo-oligomeric Protein Complexes

Che Zhao, Shunfang Wang

ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)

2024

RSANMDA: Resampling based subview attention network for miRNA-disease association prediction

Longfei Luo, Zhuokun Tan, Shunfang Wang

Methods

2024

Boundary-Aware Gradient Operator Network for Medical Image Segmentation

Li Yu, Wenwen Min, Shunfang Wang

IEEE Journal of Biomedical and Health Informatics

2024

Deeply integrating latent consistent representations in high-noise multi-omics data for cancer subtyping

Yueyi Cai, Shunfang Wang

Briefings in Bioinformatics

2024

ACP-PDAFF: Pretrained model and dual-channel attentional feature fusion for anticancer peptides prediction

Xinyi Wang, Shunfang Wang

Computational Biology and Chemistry

2024

Difference in Uptake Pattern Heterogeneity and Reproducibility of Radiomics Features Between FAPI and FDG Pet/Ct Imaging of Tumors

Tianmeng Xu, Yanchao Huang, Tingting Ang, Shuilin Chu, Peiyin Luo, Shunfang Wang, Yufeng Zhang, Lijun Lu, Ganghua Tang, Wenbing Lv

IEEE International Symposium on Biomedical Imaging (ISBI)

2024

Learning an Adaptive Self-expressive Fusion Model for Multi-omics Cancer Subtype Prediction

Yueyi Cai, Nan Zhou, Junran Zhao, Shunfang Wang

Lecture notes in computer science

2023

基于半监督网络表示学习方法的基因功能预测

杨鑫,王顺芳

《计算机工程与设计》

2023

TransVCOX: Bridging Transformer Encoder and Pre-trained VAE for Robust Cancer Multi-Omics Survival Analysis

Xiaoyu Li, Wen-Wen Min, Jinyu Chen, Jiaxin Wu, Shunfang Wang

IEEE International Conference on Bioinformatics and Biomedicine

2023

BFP-Net: Boundary Feature Pyramid for Medical Image Segmentation

Shi-Quan Min, Xiang Zhang, Shunfang Wang

IEEE International Conference on Bioinformatics and Biomedicine

2023

EIU-Net: Enhanced feature extraction and improved skip connections in U-Net for skin lesion segmentation

Zimin Yu, Li Yu, Weihua Zheng, Shunfang Wang

Comput. Biol. Medicine

2023

MMS-Net: Multi-level multi-scale feature extraction network for medical image segmentation

Chang Zhao, Wenbing Lv, Xiang Zhang, Zimin Yu, Shunfang Wang

Biomedical Signal Processing and Control

2023

AttCON: With better MSAs and attention mechanism for accurate protein contact map prediction

Che Zhao, Shunfang Wang

Computers in Biology and Medicine

2023

TsImpute: an accurate two-step imputation method for single-cell RNA-seq data

Weihua Zheng, Wenwen Min, Shunfang Wang

Bioinformatics

2023

TSE-ARF: An adaptive prediction method of effectors across secretion system types

Xianjun Tang, Longfei Luo, Shunfang Wang

Analytical Biochemistry

2023

Multi-dimensional search for drug–target interaction prediction by preserving the consistency of attention distribution

Huaihu Li, Shunfang Wang, Weihua Zheng, Li Yu

Computational Biology and Chemistry

2022

基于序列深度学习的Ⅲ型分泌效应子预测

唐贤俊,王顺芳

《计算机工程与设计》

2022

AEMVC: anchor enhanced multi-omics cancer subtype identification

Nan Zhou, Shunfang Wang, Zhuokun Tan

International Symposium on Artificial Intelligence in Medical Sciences

2022

A protein succinylation sites prediction method based on the hybrid architecture of LSTM network and CNN

Die Zhang, Shunfang Wang

J. Bioinform. Comput. Biol.

2022

SE-BLTCNN: A channel attention adapted deep learning model based on PSSM for membrane protein classification

Yu He, Shunfang Wang

Comput. Biol. Chem.

2021

Parameter Transfer Learning Measured by Image Similarity to Detect CT of COVID-19

Chang Zhao, Shunfang Wang

International Symposium on Bioinformatics Research and Applications

2021

DeepFusion-RBP: Using deep learning to fuse multiple features to identify RNA-binding protein sequences

Xu Wang, Shunfang Wang, Haoyi Fu, Xiao-Li Ruan, Xian-Jun Tang

Current Bioinformatics

2021

Gene prediction of aging-related diseases based on DNN and Mashup

Jun-Hua Ye, Shunfang Wang, Xin Yang, Xian-Jun Tang

BMC Bioinformatics

2021

Predicting antifreeze proteins with weighted generalized dipeptide composition and multi-regression feature selection ensemble

Shunfang Wang, L. Deng, Xin-Nan Xia, Zicheng Cao, Y. Fei

BMC Bioinformatics

2021

Identifying Enhancers and Their Strength Based on PCWM Feature by A Two-Layer Predictor

Huan Yang, Shunfang Wang

International Conferences on Biological Information and Biomedical Engineering

2021

Assembled graph neural network using graph transformer with edges for protein model quality assessment.

S. Dong, Shunfang Wang

Journal of Molecular Graphics and Modelling

2021

RNA-binding protein sequence prediction method based on ensemble learning and data over-sampling

Xu Wang, Shunfang Wang

International Conference on Advanced Computational Intelligence

2021

DNA protein binding motif prediction based on fusion of expectation pooling and LSTM

Zhaofeng Li, Shunfang Wang

International Conference on Advanced Computational Intelligence

2021

iEnhancer-RD: Identification of enhancers and their strength using RKPK features and deep neural networks.

Huan Yang, Shunfang Wang, Xin-Nan Xia

Analytical Biochemistry

2020

G-DipC: An Improved Feature Representation Method for Short Sequences to Predict the Type of Cargo in Cell-Penetrating Peptides

Shunfang Wang, Zicheng Cao, Mingyuan Li, Yao-Ting Yue

IEEE/ACM Transactions on Computational Biology & Bioinformatics

2020

Multi-feature fusion and dimensional reduction based on the two-step deep ontology and the conjoint triad for the identification of cancerlectins

Shunfang Wang, Yuan Fang, Xu Wang

IEEE International Conference on Bioinformatics and Biomedicine

2020

ACEP: improving antimicrobial peptides recognition through automatic feature fusion and amino acid embedding

Haoyi Fu, Zicheng Cao, Mingyuan Li, Shunfang Wang

BMC Genomics

2020

Prediction of Anuran Antimicrobial Peptides Using AdaBoost and Improved PSSM Profiles

Haoyi Fu, Zicheng Cao, Mingyuan Li, Xin-Nan Xia, Shunfang Wang

International Conferences on Biological Information and Biomedical Engineering

2019

Accurate classification of membrane protein types based on sequence and evolutionary information using deep learning

Lei Guo, Shunfang Wang, Mingyuan Li, Zicheng Cao

BMC Bioinformatics

2019

Prediction of protein structural classes by different feature expressions based on 2-D wavelet denoising and fusion

Shunfang Wang, Xiaoheng Wang

BMC Bioinformatics

2019

An Improved Process for Generating Uniform PSSMs and Its Application in Protein Subcellular Localization via Various Global Dimension Reduction Techniques

Shunfang Wang, Wenjia Li, Y. Fei, Zicheng Cao, Dongshu Xu, Huanyu Guo

IEEE Access

2019

Efficient utilization on PSSM combining with recurrent neural network for membrane protein types prediction

Shunfang Wang, Mingyuan Li, Lei Guo, Zicheng Cao, Y. Fei

Comput. Biol. Chem.

2019

Prediction of oxidoreductase subfamily classes based on RFE-SND-CC-PSSM and machine learning methods

Fang Yuan, Gan Liu, Xi-Wen Yang, Shunfang Wang, Xueren Wang

J. Bioinform. Comput. Biol.

2018

基于多分辨率局部与全局特征融合的人脸识别

阮小利,王顺芳

《计算机工程与设计》

2018

Prediction for Membrane Protein Types Based on Effective Fusion Representation and MIC-GA Feature Selection

Lei Guo, Shunfang Wang, Zhen-Feng Lei, Xueren Wang

IEEE Access

2018

Using Support Tensor Mechine for Predicting Cell Penetrating Peptides by Fusing DipC and TipC

L. Deng, Yuan Fang, Shunfang Wang, Zicheng Cao

2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

2018

Protein subnuclear localization based on a new effective representation and intelligent kernel linear discriminant analysis by dichotomous greedy genetic algorithm

Shunfang Wang, Yao-Ting Yue

PLoS ONE

2018

Predicting Membrane Protein Subcellular Localization from Gene Ontology Terms Based on a Deep Learning Model

Yuan Fang, L. Deng, Shunfang Wang

2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

2018

Membrane Protein Type Prediction for High-Dimensional Imbalanced Datasets

Lei Guo, Shunfang Wang

International Conference on Information Technology in Medicine and Education

2018

The effectiveness of ensemble learning based on four different classifiers for predicting membrane protein types

Mingyuan Li, Shunfang Wang, Lei Guo

Chinese Control and Decision Conference

2017

基于特征融合和有监督局部保持投影的蛋白质亚核定位

刘树慧,王顺芳

《计算机应用与软件》

2017

Kernel principal component analysis based on semi-supervised dimensionality reduction and its application on protein subnuclear localization

Yao-Ting Yue, Shunfang Wang

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

2017

Protein Subcellular Localization with Gaussian Kernel Discriminant Analysis and Its Kernel Parameter Selection

Shunfang Wang, Bing Nie, Kun Yue, Y. Fei, Wenjia Li, Dongshu Xu

International Journal of Molecular Sciences

2017

An ensemble classifier based on stacked generalization for predicting membrane protein types

Lei Guo, Shunfang Wang, Zicheng Cao

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

2017

Using kernel SVM for predicting membrane protein types by fusing PseAAC and DipC

Zicheng Cao, Shunfang Wang, Lei Guo

International Conference on Computer Science and Network Technology

2017

Protein subnuclear location based on KLDA with fused kernel and effective fusion representation

Yao-Ting Yue, Shunfang Wang

International Conference on Computer Science and Network Technology

2017

Optimizing effective fusion representation by particle swarm optimization algorithm for protein sub-nuclear location

Yao-Ting Yue, Shunfang Wang

International Conference on Computer Science and Network Technology

2016

Applied biological data mining based on improved K-means clustering algorithm and KNN classifier in protein sub-cellular localization

Zhen-Feng Lei, Shunfang Wang

2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)

2016

Protein sub-cellular localization based on noise-intensity-weighted linear discriminant analysis and an improved k-nearest-neighbor classifier

Zhen-Feng Lei, Shunfang Wang, Dongshu Xu

2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

2016

雑音強度重み付き線形判別分析と改良されたk最近接分類器に基づく蛋白質細胞内局在【Powered by NICT】

Zhen-Feng Lei, Shunfang Wang, Dongshu Xu

2015

基于MCD稳健估计的PCA人脸识别算法

张蓓,王顺芳

《计算机工程与设计》

2015

Weighted feature dimensions according to Fisher's linear discriminant rate and its application on protein sub-cellular localization

Wenjia Li, Shunfang Wang, Dongshu Xu

International Conference on Computer Science and Network Technology

2015

Research on prediction of protein sub-cellular location based on KLDA with combined kernel function

Bing Nie, Shunfang Wang, Dongshu Xu

International Conference on Computer Science and Network Technology

2015

The effective feature representations by integrating PseAAC and PSSM for protein sub-nuclear location

Shu-Hui Liu, Shunfang Wang, Weibo Liu

IEEE International Conference on Electronics Information and Emergency Communication

2015

Protein Sub-Nuclear Localization Based on Effective Fusion Representations and Dimension Reduction Algorithm LDA

Shunfang Wang, Shu-Hui Liu

International Journal of Molecular Sciences

2015

Protein sub-nuclear location by fusing AAC and PSSM features based on sequence information

Shu-Hui Liu, Shunfang Wang, Hai-Yan Ding

IEEE International Conference on Electronics Information and Emergency Communication

2014

基于图像分割及模糊隶属度的PCA人脸识别

张飞龙,王顺芳,赵剑华,丁海燕

《计算机应用与软件》

2014

基于组合核函数KPCA的人脸识别研究

赵剑华,王顺芳,张飞龙

《计算机工程与设计》

2013

A face recognition method based on combinational mirror-like odd and even images features

Jianhua Zhao, Dong Wang, Shunfang Wang, Rongrong Sun

International Conference on Computer Science and Network Technology (ICCSNT)

2011

一种局部保留C2DPCA人脸特征提取方法

刘平,王顺芳

《云南大学学报(自然科学版)》

2011

改进的小波分解、Fisher脸及几何特征相结合的人脸识别方法

彭叶,王顺芳,丁海燕

《云南大学学报(自然科学版)》

2011

Improved PCA facial recognition with bootstrap and data standardization in small sample case

Shunfang Wang, Fu-Lai Ku, Huai-Xiong Zhang

International Conference on Computer Science and Network Technology (ICCSNT)

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