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朱晓燕 (Xiaoyan Zhu)

Xi'an Jiaotong University副教授

H指数:47

被引数:1.1万

个人简介

任职于计算机科学与技术学院，副教授、博士生导师。主要从事自动机器学习、软件缺陷预测、软件缺陷修复等方面的研究。主持国家自然科学基金重大研究计划培育项目、青年项目，主持和参与国家自然科学基金重大项目、面上项目、863高技术研究发展计划等项目。近五年在AAAI、ICSE、PR、INS、TKDD、ESWA等知名期刊和会议发表学术论文50余篇，获陕西省高等学校科学技术奖一等奖。主讲本科生专业核心课《算法分析与设计》、研究生学位课《机器学习与数据挖掘》，主持、参与《数据结构与算法》课程改革等多项教改项目。

教育背景

暂无内容

工作经历

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荣誉奖项

陕西省高等学校科学技术奖一等奖｜陕西省高等学校

TSP-1 upregulation promotes alveolar regeneration via the CD47/β1-integrin/FAK pathway during sepsis

脓毒症期间TSP-1上调通过CD47/β1整合素/FAK通路促进肺泡再生

Respiratory Research

IF5

2026-10-010

OAAI

BioTester: an AI-driven automated testing framework for identifying potential quality risks in bioinformatics software

BioTester：一个用于识别生物信息学软件中潜在质量风险的AI驱动自动化测试框架

Briefings in Bioinformatics

IF7.7

2026-09-160

OAAI

TrafHILLM: Highway network traffic flow prediction with heterogeneous graph-based and instruction fine-tuned large language model

基于异构图和指令微调大型语言模型的高速公路交通流量预测TrafHILLM

Expert Systems with Applications

IF7.5

2026-07-012

PRE

Investigating the Origin of Topological-Hall-Like Resistivity in Zn-Doped Mn2Sb Ferrimagnet

研究Zn掺杂Mn2Sb铁磁体中拓扑霍尔型电阻率的起源

IF11

2026-03-270

OAAI

Reaching Software Quality for Bioinformatics Applications: How Far Are We?

生物信息学应用实现软件质量：我们还有多远？

IEEE Transactions on Software Engineering

IF5.6

2025-12-080

PRE

A risk-adjusted CUSUM for monitoring the surgical quality reflected by the time-to-event outcomes with a cured fraction

针对反映治愈比例的时间-事件结局的手术质量监控的风险调整CUSUM方法

QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT

IF3

2025-12-010

PRE

TMBclaw: tumor clone-aware graph learning improves immunotherapy response prediction across heterogeneous cohorts

TMBclaw：基于肿瘤克隆感知的图学习改进异质性队列中的免疫治疗反应预测

BRIEFINGS IN BIOINFORMATICS

IF7.7

2025-11-010

OAAI

MRDadaptis: self-adaptive parameter configuration enhances minimal residual disease detection in heterogeneous ctDNA samples

MRDadaptis：自适应性参数配置增强了异质性ctDNA样本中的微小残留病检测

BRIEFINGS IN BIOINFORMATICS

IF7.7

2025-09-010

OAAI

TMBquant: an explainable AI-powered caller advancing tumor mutation burden quantification across heterogeneous samples

TMBquant：一种基于可解释人工智能的调用程序，用于推进异质性样本中的肿瘤突变负荷量化

BRIEFINGS IN BIOINFORMATICS

IF7.7

2025-09-010

OAAI

Projecting lyme disease risk in the United States: A machine learning approach integrating environmental, socioeconomic and vector factors

预测美国莱姆病风险：一种整合环境、社会经济和媒介因素的机器学习方法

IF4.5

2025-07-020

OAAI

Transcriptomic analysis of melatonin-mediated drought stress response genes in alfalfa during germination period

苜蓿萌发期中褪黑素介导的干旱胁迫响应基因的转录组分析

BMC PLANT BIOLOGY

IF4.8

2025-05-140

OA

Learning multi-behavior user intent for session-based recommendation

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2025-01-010

PRE

A ranking-based problem transformation method for weakly supervised multi-label learning

PATTERN RECOGNITION

IF7.6

2024-09-010

PRE

NIPT-PG: empowering non-invasive prenatal testing to learn from population genomics through an incremental pan-genomic approach

BRIEFINGS IN BIOINFORMATICS

IF7.7

2024-06-050

OAAI

TMBstable: a variant caller controls performance variation across heterogeneous sequencing samples

BRIEFINGS IN BIOINFORMATICS

IF7.7

2024-04-180

OAAI

Graph-enhanced and collaborative attention networks for session-based recommendation

KNOWLEDGE-BASED SYSTEMS

IF7.6

2024-04-014

PRE

DeepLION2: deep multi-instance contrastive learning framework enhancing the prediction of cancer-associated T cell receptors by attention strategy on motifs

FRONTIERS IN IMMUNOLOGY

IF5.9

2024-03-070

OAAI

SCR-CUSUM: An illness-death semi-Markov model-based risk-adjusted CUSUM for semi-competing risk data monitoring

COMPUTERS & INDUSTRIAL ENGINEERING

IF6.5

2023-10-013

PRE

An independent evaluation in a CRC patient cohort of microbiome 16S rRNA sequence analysis methods: OTU clustering, DADA2, and Deblur

FRONTIERS IN MICROBIOLOGY

IF4.5

2023-07-2511

OAAI

Automated machine learning with dynamic ensemble selection

APPLIED INTELLIGENCE

IF3.5

2023-07-133

PRE