徐晓璐｜辽宁师范大学｜学者主页

2026

Towards cross-lingual entity alignment with refined attribute and description features

Beibei Zhu, Haolong Duan, Xiaolu Xu, Bo Fu, Ruijie Tian, Na Lei

Big Data Research

DOI

2026

A Meta-Learning and GNN-Based Framework for Few-Shot Prediction of Regional Educational Development

Xiaolu Xu, Shuai Zheng, Shikai Guo, Yulong Li, Lina Hou

International Conference on Informatics Education and Computer Technology Applications (IECA)

DOI

2026

A Knowledge-Enhanced Multimodal Framework with Genomic Reconstruction for DLBCL Drug Response Prediction

Xiaolu Xu, Yulong Li, Shuai Zheng, Chengjie Lu, Jingyi Zhou, Hongbin Lu, Beibei Zhu, Jie Yu, Zhaohong Geng

Computational and Structural Biotechnology Journal

DOI

2026

Protein–protein interaction extraction enhanced by entity semantic representation

Xinyu He, Binhe Li, Xiaolu Xu, Hongbin Lu, Jiatong Chi

Health Information Science and Systems

DOI

2026

Adaptive balancer-based symmetrical contrastive pre-training for biomedical few-shot entity relation extraction

Hongbin Lu, Qiuyang Zhang, Jiale Niu, Xiaolu Xu, Beibei Zhu, Yonggong Ren

Biomedical Signal Processing and Control

DOI

2025

Mining Critical Factors for K12 Curriculum Planning based on Deep Neural Network

Lina Hou, Yuxiu An, Xiaolu Xu

DOI

2025

The Federated Sample Weight Model: A New Strategy for Precision Medicine

Jiaxuan Li, Zhihe Peng, Liang Xu, Yulong Li, Shuai Zheng, Lingwen Kong, Zixin Quan, Xiaolu Xu, Zhaohong Geng

DOI

2024

Segment Any Nuclei: A Prompt-free Segment Anything Model for Nuclei from Histology Image

Xutao Sun, Junwen Liu, Yonggong Ren, Xiaolu Xu, Yiqing Shen

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact

Xiaolu Xu, Zitong Qi, Lei Wang, Meiwei Zhang, Zhao-Hong Geng, Xiumei Han

BMC Bioinformatics

DOI

2024

Combined-task deep network based on LassoNet feature selection for predicting the comorbidities of acute coronary syndrome

Xiaolu Xu, Zitong Qi, Xiumei Han, Yuxing Wang, Ming Yu, Zhao-Hong Geng

Comput. Biol. Medicine

DOI

2023

Biomarker Identification for the Comorbidities of Acute Coronary Syndrome based on LassoNet Feature Selection

Xiaolu Xu, Yuxing Wang, Zitong Qi, Junfeng Chen, Zhaohong Geng, Lina Hou

DOI

2023

DriverGenePathway: Identifying driver genes and driver pathways in cancer based on MutSigCV and statistical methods

Xiaolu Xu, Zitong Qi, Dawei Zhang, Mei-Wei Zhang, Yonggong Ren, Zhao-Hong Geng

Computational and Structural Biotechnology Journal

DOI

2023

Predicting anticancer drug sensitivity on distributed data sources using federated deep learning

Xiaolu Xu, Zitong Qi, Xiumei Han, A. Xu, Zhao-Hong Geng, Xinyu He, Yonggong Ren, Zhao-Jun Duo

Heliyon

DOI

2021

基于机器学习的癌症驱动基因辨识研究

徐晓璐

《大连理工大学》

2021

Corrigendum: FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network

Hong Gu, Xiaolu Xu, Pan Qin, Jia Wang

Frontiers in Genetics

DOI

2020

基于广义线性模型的基因表达水平预测

师豪杰，顾宏，徐晓璐，秦攀

《大连理工大学学报》

2020

FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network

Hong Gu, Xiaolu Xu, Pan Qin, Jia Wang

Frontiers in Genetics

DOI

2019

基于深度学习的多标签短文本分类方法研究

徐晓璐

《桂林电子科技大学》

2019

Adaptively Weighted and Robust Mathematical Programming for the Discovery of Driver Gene Sets in Cancers

Xiaolu Xu, Pan Qin, Hong Gu, Jia Wang, Yang Wang

Scientific Reports

DOI

2019

Autoencoder Based Feature Selection Method for Classification of Anticancer Drug Response

Xiaolu Xu, Hong Gu, Yang Wang, Jia Wang, Pan Qin

Frontiers in Genetics

DOI

徐晓璐

精选作品

期刊论文

Towards cross-lingual entity alignment with refined attribute and description features

A Meta-Learning and GNN-Based Framework for Few-Shot Prediction of Regional Educational Development

A Knowledge-Enhanced Multimodal Framework with Genomic Reconstruction for DLBCL Drug Response Prediction

Protein–protein interaction extraction enhanced by entity semantic representation

Adaptive balancer-based symmetrical contrastive pre-training for biomedical few-shot entity relation extraction

Mining Critical Factors for K12 Curriculum Planning based on Deep Neural Network

The Federated Sample Weight Model: A New Strategy for Precision Medicine

Segment Any Nuclei: A Prompt-free Segment Anything Model for Nuclei from Histology Image

Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact

Combined-task deep network based on LassoNet feature selection for predicting the comorbidities of acute coronary syndrome

Biomarker Identification for the Comorbidities of Acute Coronary Syndrome based on LassoNet Feature Selection

DriverGenePathway: Identifying driver genes and driver pathways in cancer based on MutSigCV and statistical methods

Predicting anticancer drug sensitivity on distributed data sources using federated deep learning

基于机器学习的癌症驱动基因辨识研究

Corrigendum: FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network

基于广义线性模型的基因表达水平预测

FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network

基于深度学习的多标签短文本分类方法研究

Adaptively Weighted and Robust Mathematical Programming for the Discovery of Driver Gene Sets in Cancers

Autoencoder Based Feature Selection Method for Classification of Anticancer Drug Response

研究方向