Taosheng Xu - RankMe

26 papers Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fourier-enhanced semi-supervised proxy learning for ultra-fine-grained novel class discovery. Pattern Recognit. Qiupu Chen, Hongkui Jiang, Lin Jiao, Zhou Li, Taosheng Xu, Xue Wang, Rujing Wang
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
2025	J	`jnl`	DBiSeNet: Dual bilateral segmentation network for real-time semantic segmentation. Comput. Vis. Image Underst. Xiaobo Hu, Hongbo Zhu, Ning Su, Taosheng Xu
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
2024	J	`jnl`	ICHPro: Intracerebral Hemorrhage Prognosis Classification Via Joint-attention Fusion-based 3d Cross-modal Network. CoRR Xinlei Yu, Xinyang Li, Ruiquan Ge, Shibin Wu, Ahmed Elazab, Jichao Zhu, Lingyan Zhang, Gangyong Jia, Taosheng Xu, Xiang Wan, Changmiao Wang
2024	—	`conf`	ICHPro: Intracerebral Hemorrhage Prognosis Classification via Joint-Attention Fusion-Based 3D Cross-Modal Network. ISBI Xinlei Yu, Xinyang Li, Ruiquan Ge, Shibin Wu, Ahmed Elazab, Jichao Zhu, Lingyan Zhang, Gangyong Jia, Taosheng Xu, Xiang Wan, Changmiao 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`	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`	Multimodal attention-based variational autoencoder for clinical risk prediction. BIBM Xiaoyu Li, Taosheng Xu, Jinyu Chen, Jun Wan, 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	J	`jnl`	Weighted Sparse Partial Least Squares for Joint Sample and Feature Selection. CoRR Wenwen Min, Taosheng Xu, Chris Ding
2021	J	`jnl`	Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data. BMC Bioinform. Junpeng Zhang, Lin Liu, Taosheng Xu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le
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`	Uncovering the roles of microRNAs/lncRNAs in characterising breast cancer subtypes and prognosis. BMC Bioinform. Xiaomei Li, Buu Minh Thanh Truong, Taosheng Xu, Lin Liu, Jiuyong Li, Thuc Duy Le
2020	J	`jnl`	A novel single-cell based method for breast cancer prognosis. PLoS Comput. Biol. Xiaomei Li, Lin Liu, Gregory J. Goodall, Andreas W. Schreiber, Taosheng Xu, Jiuyong Li, Thuc Duy Le
2020	J	`jnl`	Correction to: Identifying miRNA synergism using multiple-intervention causal inference. BMC Bioinform. Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Minh Thanh Truong, Jiuyong Li, Nini Rao, Thuc Duy Le
2020	J	`jnl`	LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer. PLoS Comput. Biol. Junpeng Zhang, Taosheng Xu, Lin Liu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le
2019	J	`jnl`	Identifying miRNA synergism using multiple-intervention causal inference. BMC Bioinform. Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Minh Thanh Truong, Jiuyong Li, Nini Rao, Thuc Duy Le
2019	J	`jnl`	Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction. BMC Bioinform. Vu Viet Hoang Pham, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Taosheng Xu, Trung T. Nguyen, Jiuyong Li, Thuc Duy Le
2019	J	`jnl`	miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules. BMC Bioinform. Junpeng Zhang, Lin Liu, Taosheng Xu, Yong Xie, Chunwen Zhao, Jiuyong Li, Thuc Duy Le
2018	—	`conf`	ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data. PAKDD (Workshops) Thuc Duy Le, Taosheng Xu, Lin Liu, Hu Shu, Tao Hoang, Jiuyong Li
2018	J	`jnl`	miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase. BMC Bioinform. Taosheng Xu, Ning Su, Lin Liu, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li, Thuc Duy Le
2017	J	`jnl`	CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization. Bioinform. Taosheng Xu, Thuc Duy Le, Lin Liu, Ning Su, Rujing Wang, Bing-Yu Sun, Antonio Colaprico, Gianluca Bontempi, Jiuyong Li
2017	—	`conf`	Identifying microRNA targets in epithelial-mesenchymal transition using joint-intervention causal inference. CSBio Thuc Duy Le, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Shu Hu, Taosheng Xu, Jiuyong Li