机器学习、软件工程

朱晓燕，博士，计算机科学与技术学院副教授、博士生导师。

朱晓燕教授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，获得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。

1.    研究开发和实现期权套利策略的使用（第二期），横向课题，主持，进行中

2.    全自动一体化高通量基因检测体外诊断系统的研发，应用研究，参与，进行中

3.    研究开发和实现套利策略的使用，横向课题，主持，进行中

4.    智能制造软件开发技术服务，横向课题，主持，已结题

5.    基于大学生学习生活行为大数据的学生群体画像研究及其应用，横向课题，主持，已结题

6.    基于深度学习的个人信息智能识别方法研究，横向课题，主持，已结题

7.    肠道微生态的健康模型研究及其应用，横向课题，主持，已结题

8.    基于医疗大数据分析的临床决策支持算法评估、推荐与优化，国家自然科学基金重大研究计划培育项目，主持，已结题

9.    软件更改缺陷实时预测方法研究，国家自然科学基金青年科学基金，主持，已结题

10.  基于数据挖掘的软件过程模型推荐方法研究，武汉大学国家重点实验室开放课题，主持，已结题

1.    Jiaxuan Li, Xiaoyan Zhu*, Hongrui Wang, Yu Zhang, Xin Lai, Jiayin Wang. Multi-Label Ranking Loss Minimization for Matrix Completion, Proceedings of the AAAI Conference on Artificial Intelligence 39, No. 17: AAAI-25 Technical Tracks 17, AAAI Technical Track on Machine Learning III, pp. 18333-18340.

2.    Yu Zhang, Xiaoyan Zhu*, Guopeng He, Jiaxuan Li, Jiayin Wang. Learning multi-behavior user intent for session-based recommendation, Expert Systems with Applications 259, Article Number: 125269, January 2025.

3.    Jiaxuan Li, Tong Zhu, Xiaoyan Zhu*, Jiayin Wang. Label-specific multi-label classification with entropy guided clustering, in Proceedings of the 27th International Conference on Pattern Recognition (ICPR 2024), Kolkata, India, December 2024.

4.    Xiaoyan Zhu*, Yu Zhang, Jiaxuan Li, Jiayin Wang, Xin Lai. TCSR: Self-attention with time and category for session-based recommendation, Computational Intelligence 40, Issue 5, Article Number: e12695, October 2024.

5.    Jiaxuan Li, Xiaoyan Zhu*, Weichu Zhang, Jiayin Wang. A ranking-based problem transformation method for weakly supervised multi-label learning, Pattern Recognition 153, Article number: 110505, September 2024.

6.    Jiaxuan Li, Xiaoyan Zhu*, Hongrui Wang, Yu Zhang, Jiayin Wang. Stacked co-training for semi-supervised multi-label learning, Information Sciences 677, Article Number: 120906, August 2024.

7.    Xiaoyan Zhu*, Tian Qiu, Jiayin Wang, Xin Lai. A novel instance-based method for cross-project just-in-time defect prediction, Software: Practice and Experience 54, Issue 6, pp. 1087-1117, June 2024.

8.    Xiaoyan Zhu*, Yu Zhang*, Jiayin Wang, Guangtao Wang. Graph-enhanced and collaborative attention networks for session-based recommendation, Knowledge-Based Systems 289, Article number: 111509, April 2024.

9.    Xiaoyan Zhu#*, Jiaxuan Li#, Jingtao Ren, Jiayin Wang, Guangtao Wang. Dynamic ensemble learning for multi-label classification, Information Sciences 623, pp. 94-111, April 2023.

10.  Jiaxuan Li, Xiaoyan Zhu, Jiayin Wang. AdaBoost.C2: Boosting Classifiers Chains for Multi-Label Classification, Proceedings of the AAAI Conference on Artificial Intelligence 37, No. 7: AAAI-23 Technical Tracks 7, AAAI Technical Track on Machine Learning II, pp. 8580-8587.

11.  Xiaoyan Zhu, Nan Li, Yong Wang*. Software change-proneness prediction based on deep learning, Journal of Software: Evolution and Process 34, Issue 4, Article Number: e2434, April 2022.

12.  Xiaoyan Zhu*, Chenzhen Ying, Jiayin Wang, Jiaxuan Li, Xin Lai, Guangtao Wang. Ensemble of ML-KNN for classification algorithm recommendation, Knowledge-Based Systems 221, Article number: 106933, June 2021.

13.  Xiaoyan Zhu, Yingbin Li, Jiayin Wang, Tian Zheng, Jingwen Fu. Automatic recommendation of a distance measure for clustering algorithms, ACM Transactions on Knowledge Discovery from Data 15, No.1, Article number: 7, February 2021.

14.  Xiaoyan Zhu*, Chenyu Yan, James E. Whitehead, Binbin Niu, Long Pan. Just-in-time defect prediction for software hunks, Software: Practice and Experience 52, Issue 1, pp. 130-153, January 2022.