Wenwen Min - RankMe

82 papers A* 1Journal 58Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adapting a Pre-trained Single-Cell Foundation Model to Spatial Gene Expression Generation from Histology Images. CoRR Donghai Fang, Yongheng Li, Zhen Wang, Yuansong Zeng, Wenwen Min
2026	J	`jnl`	BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images With Conditional Latent Diffusion Models. IEEE J. Biomed. Health Informatics Yifei Sun, Zhanghao Chen, Hao Zheng, Wenming Deng, Jin Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang, Ruiquan Ge
2026	J	`jnl`	Cross-Slice Knowledge Transfer via Masked Multi-Modal Heterogeneous Graph Contrastive Learning for Spatial Gene Expression Inference. CoRR Zhiceng Shi, Changmiao Wang, Jun Wan, Wenwen Min
2026	J	`jnl`	FGTBT: Frequency-Guided Task-Balancing Transformer for Unified Facial Landmark Detection. CoRR Jun Wan, Xinyu Xiong, Ning Chen, Zhihui Lai, Jie Zhou, Wenwen Min
2026	J	`jnl`	FGTBT: Frequency-guided task-balancing transformer for unified facial landmark detection. Inf. Sci. Jun Wan, Xinyu Xiong, Ning Chen, Zhihui Lai, Jie Zhou, Wenwen Min
2026	J	`jnl`	OmniMamba: Omnidirectional Scanning Meets State Space Models for Efficient Hyperspectral Image Classification. IEEE J. Sel. Top. Signal Process. Qiyun Zheng, Taosheng Xu, Chenglong Zhang, Peng Li, Wenwen Min, Changmiao Wang
2026	A*	`conf`	SpaCRD: Multimodal Deep Fusion of Histology and Spatial Transcriptomics for Cancer Region Detection. AAAI Shuailin Xue, Jun Wan, Lihua Zhang, Wenwen Min
2026	J	`jnl`	SpaCRD: Multimodal Deep Fusion of Histology and Spatial Transcriptomics for Cancer Region Detection. CoRR Shuailin Xue, Jun Wan, Lihua Zhang, Wenwen Min
2026	J	`jnl`	Supervision-by-Hallucination-and-Transfer: A Weakly-Supervised Approach for Robust and Precise Facial Landmark Detection. CoRR Jun Wan, Yuanzhi Yao, Zhihui Lai, Jie Zhou, Xianxu Hou, Wenwen Min
2025	J	`jnl`	ClusIR: Towards Cluster-Guided All-in-One Image Restoration. CoRR Shengkai Hu, Jiaqi Ma, Jun Wan, Wenwen Min, Yongcheng Jing, Lefei Zhang, Dacheng Tao
2025	J	`jnl`	Geometry-informed multimodal fusion network for enhancing high-density spatial transcriptomics from histology images. Eng. Appl. Artif. Intell. Zhiceng Shi, Shuailin Xue, Wenwen Min
2025	—	`conf`	GraphMMP: A Graph Neural Network Model with Mutual Information and Global Fusion for Multimodal Medical Prognosis. CMMCA@MICCAI Xuhao Shan, Ruiquan Ge, Jikui Liu, Linglong Wu, Chi Zhang, Siqi Liu, Wenjian Qin, Wenwen Min, Ahmed Elazab, Changmiao Wang
2025	J	`jnl`	GraphMMP: A Graph Neural Network Model with Mutual Information and Global Fusion for Multimodal Medical Prognosis. CoRR Xuhao Shan, Ruiquan Ge, Jikui Liu, Linglong Wu, Chi Zhang, Siqi Liu, Wenjian Qin, Wenwen Min, Ahmed Elazab, Changmiao 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	—	`conf`	ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction. ISBI Xiangyang Hu, Xiangyu Shen, Yifei Sun, Xuhao Shan, Wenwen Min, Liyilei Su, Xiaomao Fan, Ahmed Elazab, Ruiquan Ge, Changmiao Wang, Xiaopeng Fan
2025	J	`jnl`	ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction. CoRR Xiangyang Hu, Xiangyu Shen, Yifei Sun, Xuhao Shan, Wenwen Min, Liyilei Su, Xiaomao Fan, Ahmed Elazab, Ruiquan Ge, Changmiao Wang, Xiaopeng Fan
2025	J	`jnl`	Improving cell-type composition inference in spatial transcriptomics with SpaDAMA. PLoS Comput. Biol. Lin Huang, Xiaofei Liu, Fangfang Zhu, Wenwen Min
2025	—	`conf`	Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX. MICCAI (13) Shuailin Xue, Changmiao Wang, Xiaomao Fan, Wenwen Min
2025	J	`jnl`	Inferring single-cell resolution spatial gene expression via fusing spot-based spatial transcriptomics, location, and histology using GCN. Briefings Bioinform. Shuailin Xue, Fangfang Zhu, Jinyu Chen, Wenwen Min
2025	—	`conf`	RE-SAM2: Boosting Few-Shot Medical Image Segmentation via Reinforcement Learning and Ensemble Learning. BIBM Bin Zhao, Shougan Teng, Wenwen Min, Changmiao Wang, Zhenbing Liu
2025	—	`conf`	RTGMFF: Enhanced fMRI-Based Brain Disorder Diagnosis via ROI-Driven Text Generation and Multimodal Feature Fusion. BIBM Junhao Jia, Yifei Sun, Yunyou Liu, Cheng Yang, Changmiao Wang, Feiwei Qin, Yong Peng, Wenwen Min
2025	J	`jnl`	RTGMFF: Enhanced fMRI-based Brain Disorder Diagnosis via ROI-driven Text Generation and Multimodal Feature Fusion. CoRR Junhao Jia, Yifei Sun, Yunyou Liu, Cheng Yang, Changmiao Wang, Feiwei Qin, Yong Peng, Wenwen Min
2025	J	`jnl`	SpaICL: image-guided curriculum strategy-based graph contrastive learning for spatial transcriptomics clustering. Briefings Bioinform. Jingcheng Zhao, Wenwen Min
2025	J	`jnl`	SpaMask: Dual masking graph autoencoder with contrastive learning for spatial transcriptomics. PLoS Comput. Biol. Wenwen Min, Donghai Fang, Jinyu Chen, Shihua Zhang
2025	J	`jnl`	VTrans: A VAE-Based Pre-Trained Transformer Method for Microbiome Data Analysis. J. Comput. Biol. Xinyuan Shi, Fangfang Zhu, Wenwen Min
2025	J	`jnl`	Weighted Sparse Partial Least Squares With Joint Sample and Feature Selection for Integrating Multi-Omics Data. IEEE Trans. Comput. Biol. Bioinform. Wenwen Min, Taosheng Xu, Chris Ding
2025	J	`jnl`	sTPLS: identifying common and specific correlated patterns under multiple biological conditions. Briefings Bioinform. Jinyu Chen, Wenwen Min
2024	—	`conf`	BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models From Chest X-Ray Images. ISBI Zhanghao Chen, Yifei Sun, Ruiquan Ge, Wenjian Qin, Cheng Pan, Wenming Deng, Zhou Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang
2024	J	`jnl`	BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models. CoRR Yifei Sun, Zhanghao Chen, Hao Zheng, Wenming Deng, Jin Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang, Ruiquan Ge
2024	J	`jnl`	Boundary-Aware Gradient Operator Network for Medical Image Segmentation. IEEE J. Biomed. Health Informatics Li Yu, Wenwen Min, Shunfang Wang
2024	—	`conf`	CCLNet: Causal and Contrastive Learning Framework for Enhanced Pulmonary Embolism Detection. BIBM Zhipeng Wang, Ruiquan Ge, Jianxun Yu, Feiwei Qin, Yuan Tian, Nannan Li, Wenwen Min, Ahmed Elazab, Changmiao Wang
2024	—	`conf`	Contrastive Masked Graph Autoencoders for Spatial Transcriptomics Data Analysis. ISBRA (1) Donghai Fang, Yichen Gao, Zhaoying Wang, Fangfang Zhu, Wenwen Min
2024	—	`conf`	Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with ℓ ICIC (LNAI 1) Weifeng Yang, Wenwen Min
2024	J	`jnl`	Graph Regularized NMF with L20-norm for Unsupervised Feature Learning. CoRR Zhen Wang, Wenwen Min
2024	—	`conf`	High-Resolution Spatial Transcriptomics from Histology Images using HisToSGE. BIBM Zhiceng Shi, Shuailin Xue, Fangfang Zhu, Wenwen Min
2024	J	`jnl`	High-Resolution Spatial Transcriptomics from Histology Images using HisToSGE. CoRR Zhiceng Shi, Shuailin Xue, Fangfang Zhu, Wenwen Min
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 Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data. BIBM Donghai Fang, Fangfang Zhu, Dongting Xie, Wenwen Min
2024	J	`jnl`	Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data. CoRR Donghai Fang, Fangfang Zhu, Dongting Xie, Wenwen Min
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	—	`conf`	Multi-Slice Spatial Transcriptomics Data Integration Analysis with STG3Net. BIBM Donghai Fang, Fangfang Zhu, Wenwen Min
2024	J	`jnl`	Multi-Slice Spatial Transcriptomics Data Integration Analysis with STG3Net. CoRR Donghai Fang, Fangfang Zhu, Wenwen Min
2024	J	`jnl`	Multimodal contrastive learning for spatial gene expression prediction using histology images. Briefings Bioinform. Wenwen Min, Zhiceng Shi, Jun Zhang, Jun Wan, Changmiao Wang
2024	J	`jnl`	Multimodal contrastive learning for spatial gene expression prediction using histology images. CoRR Wenwen Min, Zhiceng Shi, Jun Zhang, Jun Wan, Changmiao Wang
2024	—	`conf`	Polymorphic multi-head attention aggregation network for skin lesion segmentation. BIBM Li Yu, Chaowei Chen, Wenwen Min, Che Zhao, Shunfang Wang
2024	J	`jnl`	Precise Facial Landmark Detection by Dynamic Semantic Aggregation Transformer. CoRR Jun Wan, He Liu, Yujia Wu, Zhihui Lai, Wenwen Min, Jun Liu
2024	J	`jnl`	Precise facial landmark detection by Dynamic Semantic Aggregation Transformer. Pattern Recognit. Jun Wan, He Liu, Yujia Wu, Zhihui Lai, Wenwen Min, Jun Liu
2024	—	`conf`	Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis. BIBM Xinyuan Shi, Fangfang Zhu, Wenwen Min
2024	J	`jnl`	Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis. CoRR Xinyuan Shi, Fangfang Zhu, Wenwen Min
2024	J	`jnl`	SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq. CoRR Xiaoyu Li, Fangfang Zhu, Wenwen Min
2024	J	`jnl`	SpaDiT: diffusion transformer for spatial gene expression prediction using scRNA-seq. Briefings Bioinform. Xiaoyu Li, Fangfang Zhu, Wenwen Min
2024	—	`conf`	Spatial Gene Expression Prediction from Histology Images with STco. ISBRA (1) Zhiceng Shi, Fangfang Zhu, Changmiao Wang, Wenwen Min
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	—	`conf`	stEnTrans: Transformer-Based Deep Learning for Spatial Transcriptomics Enhancement. ISBRA (1) Shuailin Xue, Fangfang Zhu, Changmiao Wang, Wenwen Min
2024	J	`jnl`	stEnTrans: Transformer-based deep learning for spatial transcriptomics enhancement. CoRR Shuailin Xue, Fangfang Zhu, Changmiao Wang, Wenwen Min
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	J	`jnl`	An Accelerated Block Proximal Framework with Adaptive Momentum for Nonconvex and Nonsmooth Optimization. CoRR Weifeng Yang, Wenwen Min
2023	J	`jnl`	BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray Images. CoRR Zhanghao Chen, Yifei Sun, Wenjian Qin, Ruiquan Ge, Cheng Pan, Wenming Deng, Zhou Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang
2023	J	`jnl`	Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with 𝓁 CoRR Weifeng Yang, Wenwen Min
2023	—	`conf`	Multimodal attention-based variational autoencoder for clinical risk prediction. BIBM Xiaoyu Li, Taosheng Xu, Jinyu Chen, Jun Wan, Wenwen Min
2023	J	`jnl`	Precise Facial Landmark Detection by Reference Heatmap Transformer. CoRR Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Wenwen Min
2023	J	`jnl`	Precise Facial Landmark Detection by Reference Heatmap Transformer. IEEE Trans. Image Process. Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Wenwen Min
2023	J	`jnl`	Structured Sparse Non-Negative Matrix Factorization With $\ell _{2,0}$ℓ2,0-Norm. IEEE Trans. Knowl. Data Eng. Wenwen Min, Taosheng Xu, Xiang Wan, Tsung-Hui Chang
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
2023	J	`jnl`	Weighted Sparse Partial Least Squares for Joint Sample and Feature Selection. CoRR Wenwen Min, Taosheng Xu, Chris Ding
2022	J	`jnl`	A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis. IEEE Trans. Neural Networks Learn. Syst. Wenwen Min, Xiang Wan, Tsung-Hui Chang, Shihua Zhang
2021	J	`jnl`	Group-Sparse SVD Models via $L_1$L1- and $L_0$L0-norm Penalties and their Applications in Biological Data. IEEE Trans. Knowl. Data Eng. Wenwen Min, Juan Liu, Shihua Zhang
2021	J	`jnl`	Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis. CoRR Wenwen Min, Taosheng Xu, Xiang Wan, Tsung-Hui Chang
2021	J	`jnl`	TSCCA: A tensor sparse CCA method for detecting microRNA-gene patterns from multiple cancers. PLoS Comput. Biol. Wenwen Min, Tsung-Hui Chang, Shihua Zhang, Xiang Wan
2019	—	`conf`	Gene Functional Module Discovery via Integrating Gene Expression and PPI Network Data. ICIC (2) Fangfang Zhu, Juan Liu, Wenwen Min
2018	J	`jnl`	Edge-group sparse PCA for network-guided high dimensional data analysis. Bioinform. Wenwen Min, Juan Liu, Shihua Zhang
2018	J	`jnl`	Group-sparse SVD Models and Their Applications in Biological Data. CoRR Wenwen Min, Juan Liu, Shihua Zhang
2018	J	`jnl`	Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. Wenwen Min, Juan Liu, Shihua Zhang
2018	J	`jnl`	Prediction of drug-disease treatment relations based on positive and unlabeled samples. J. Intell. Fuzzy Syst. Guangsheng Wu, Juan Liu, Wenwen Min
2017	J	`jnl`	Sparse Weighted Canonical Correlation Analysis. CoRR Wenwen Min, Juan Liu, Shihua Zhang
2016	J	`jnl`	L0-norm Sparse Graph-regularized SVD for Biclustering. CoRR Wenwen Min, Juan Liu, Shi-Hua Zhang
2016	J	`jnl`	Network-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. CoRR Wenwen Min, Juan Liu, Shihua Zhang
2015	J	`jnl`	A neurodynamic framework for local community extraction in networks. CoRR Shihua Zhang, Guanghua Hu, Wenwen Min
2015	—	`conf`	A novel two-stage method for identifying microRNA-gene regulatory modules in breast cancer. BIBM Wenwen Min, Juan Liu, Fei Luo, Shi-Hua Zhang