Xuping Xie

27 papers A* 1C 1Journal 22Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reliable Multimodal Cancer Survival Prediction With Confidence-Aware Risk Modeling.
IEEE J. Biomed. Health Informatics
Xuping Xie, Ye Wang, Ziqi Zhao, Qixing Yang, Lan Huang, Fengfeng Zhou, Yan Wang
2025 J jnl
DP-Adapter: Dual-Pathway Adapter for Boosting Fidelity and Text Consistency in Customizable Human Image Generation.
CoRR
Ye Wang, Xuping Xie, Lanjun Wang, Zili Yi, Rui Ma
2025 J jnl
DP-Adapter: Dual-pathway adapter for boosting fidelity and text consistency in customizable human image generation.
Graph. Model.
Ye Wang, Ruiqi Liu, Xuping Xie, Lanjun Wang, Zili Yi, Rui Ma
2025 — conf
GSAM-MRI: Frequency-Based Domain Randomization for Generalized MR Image Segmentation with Segment Anything Model.
BIBM
Lan Huang, Ziqi Zhao, Yinglu Sun, Xinfei Wang, Qixing Yang, Xuping Xie, Wenju Hou, Chunjie Guo, Yan Wang
2025 J jnl
OmniStyle2: Scalable and High Quality Artistic Style Transfer Data Generation via Destylization.
CoRR
Ye Wang, Zili Yi, Yibo Zhang, Peng Zheng, Xuping Xie, Jiang Lin, Yilin Wang, Rui Ma
2025 A* conf
SigStyle: Signature Style Transfer via Personalized Text-to-Image Models.
AAAI
Ye Wang, Tongyuan Bai, Xuping Xie, Zili Yi, Yilin Wang, Rui Ma
2025 J jnl
SigStyle: Signature Style Transfer via Personalized Text-to-Image Models.
CoRR
Ye Wang, Tongyuan Bai, Xuping Xie, Zili Yi, Yilin Wang, Rui Ma
2025 J jnl
Supervised contrastive knowledge graph learning for ncRNA-disease association prediction.
Expert Syst. Appl.
Yan Wang, Xuping Xie, Ye Wang, Nan Sheng, Lan Huang, Chunman Zuo
2024 J jnl
A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions.
IEEE ACM Trans. Comput. Biol. Bioinform.
Nan Sheng, Xuping Xie, Yan Wang, Lan Huang, Shuangquan Zhang, Ling Gao, Hao Wang
2024 J jnl
A multi-task positive-unlabeled learning framework to predict secreted proteins in human body fluids.
Complex Intell. Syst.
Kai He, Yan Wang, Xuping Xie, Dan Shao
2024 J jnl
A multi-task prediction method based on neighborhood structure embedding and signed graph representation learning to infer the relationship between circRNA, miRNA, and cancer.
Briefings Bioinform.
Lan Huang, Xin-Fei Wang, Yan Wang, Ren-Chu Guan, Nan Sheng, Xuping Xie, Lei Wang, Ziqi Zhao
2024 J jnl
A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers.
Briefings Bioinform.
Xin-Fei Wang, Lan Huang, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Nan Sheng, Xuping Xie, Qixing Yang
2024 J jnl
Latent space dynamics learning for stiff collisional-radiative models.
Mach. Learn. Sci. Technol.
Xuping Xie, Qi Tang, Xianzhu Tang
2024 J jnl
Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks.
Briefings Bioinform.
Xin-Fei Wang, Lan Huang, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Nan Sheng, Xuping Xie, Wenju Hou
2023 J jnl
A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Nan Sheng, Lan Huang, Ling Gao, Yangkun Cao, Xuping Xie, Yan Wang
2023 — conf
Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases.
BIBM
Nan Sheng, Lan Huang, Yan Wang, Ling Gao, Huiyan Sun, Xuping Xie
2023 J jnl
Data resources and computational methods for lncRNA-disease association prediction.
Comput. Biol. Medicine
Nan Sheng, Lan Huang, Yuting Lu, Hao Wang, Lili Yang, Ling Gao, Xuping Xie, Yuan Fu, Yan Wang
2023 J jnl
Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases.
Briefings Bioinform.
Nan Sheng, Yan Wang, Lan Huang, Ling Gao, Yangkun Cao, Xuping Xie, Yuan Fu
2023 J jnl
Predicting miRNA-disease associations based on PPMI and attention network.
BMC Bioinform.
Xuping Xie, Yan Wang, Kai He, Nan Sheng
2021 — conf
An AutoEncoder-Based Matrix Factorization Approach to Estimating Cell Proportion from Bulk Tumor RNA-seq Data.
BIBM
Yingze Xu, Yan Wang, Xuping Xie, Feilong Wang, Qiong Chen, Huiyan Sun
2021 J jnl
Minimum Distribution Support Vector Clustering.
Entropy
Yan Wang, Jiali Chen, Xuping Xie, Sen Yang, Wei Pang, Lan Huang, Shuangquan Zhang, Shishun Zhao
2021 C conf
Research and Application of Reinforcement Learning Recommendation Method for Taobao.
ISCC
Lan Huang, Xiaofang Zhang, Yan Wang, Xuping Xie
2020 J jnl
An Efficient v-Minimum Absolute Deviation Distribution Regression Machine.
IEEE Access
Yan Wang, Yao Wang, Yingying Song, Xuping Xie, Lan Huang, Wei Pang, George M. Coghill
2020 J jnl
Reduced Order Models for the Quasi-Geostrophic Equations: A Brief Survey.
CoRR
Changhong Mou, Zhu Wang, David R. Wells, Xuping Xie, Traian Iliescu
2018 J jnl
Data-Driven Filtered Reduced Order Modeling of Fluid Flows.
SIAM J. Sci. Comput.
Xuping Xie, Muhammad Mohebujjaman, Leo G. Rebholz, Traian Iliescu
2018 J jnl
Numerical analysis of the Leray reduced order model.
J. Comput. Appl. Math.
Xuping Xie, David R. Wells, Zhu Wang, Traian Iliescu
2017 J jnl
Energy balance and mass conservation in reduced order models of fluid flows.
J. Comput. Phys.
Muhammad Mohebujjaman, Leo G. Rebholz, Xuping Xie, Traian Iliescu