师资队伍

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周欣蕾

教育程度：博士
职称：

电话：
邮箱：zhouxnli@szu.edu.cn
地址：汇星楼426

教程程度	博士	职称
电话		邮箱	zhouxnli@szu.edu.cn
地址	汇星楼426	教育经历	2017.09-2023.06 bat365官网登录入口计算机与软件学院博士 <br> 2013.09-2017.06 江西师范大学计算机信息工程学院学士
工作经历	2021.7-2021.12 香港中文大学数学系研究助理	研究领域	机器学习与不确定性信息处理
获得荣誉		教学课程
科研成果	[1] <strong>周欣蕾</strong>, 王熙照. 不确定性视角下的弱监督学习. 西北大学学报. 2022, 52(5): 831–840.<br><br> [2] <strong>Xinlei Zhou</strong>, Sudong Chen, Nianjiao Peng, Xinpeng Zhou, Xizhao Wang. Uncertainty Guided Pruning of Classification Model Tree. Knowledge-Based Systems, 2023, 259: 110067.(IF:8.139)<br><br> [3] <strong>Xinlei Zhou</strong>, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang. A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. Neurocomputing, 2022, 489: 449-465. (IF:5.779)<br><br> [4] <strong>Xinlei Zhou</strong>, Xizhao Wang, Cong hu, Ran Wang. An Analysis on the Relationship between Uncertainty and Misclassification Rate of Classifiers. Information Sciences, 2020, 535: 16-27. (IF:6.795)<br><br> [5] <strong>Xinlei Zhou</strong>, and Dasen Yan. Model tree pruning. International Journal of Machine Learning and Cybernetics, 2019, 10 (12): 3431-3444. (IF:3.753)<br><br> [6] Chao Liu, <strong>Xinlei Zhou</strong>, Xizhao Wang. Prediction Uncertainty Flatting for Performance Improvement of Deep Learning. Proceedings of the 5th International Conference on Uncertainty Quantification in Computational Science and Engineering.2023.<br><br> [7] Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, <strong>Xinlei Zhou</strong>, Ran Wang, Chee Peng Lim, Xizhao Wang, QM Jonathan Wu. A review of generalized zero-shot learning methods. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023,45(4):4051-4070. (IF: 24.314)<br><br> [8] Nianjiao Peng, <strong>Xinlei Zhou</strong>, Ben Niu, Yuanyue Feng. Predicting Fundraising Performance in Medical Crowdfunding Campaigns Using Machine Learning. Electronics. 2021,10(2):143. (IF: 2.690)<br><br> [9] Dasen Yan, <strong>Xinlei Zhou</strong>, Xizhao Wang, Ran Wang. An Off-center Technique: Learning a Feature Transformation to Improve the Performance of Clustering and Classification. Information Sciences. 2019, 503: 635-651. (IF:5.910)	科研项目	2019.3.1-2021.01.31（参加）深圳市科技计划项目：大数据相依分类及其在股市分析中的应用

个人简介

主要从事机器学习与不确定性信息处理相关研究，在模型不确定性分析、不确定性建模与泛化和低质量数据处理等方面获得了一系列学术成果，在Information Science, Knowledge-based System, Neurocomputing和TPAMI等国际学术刊物发表学术论文9篇，曾参与深圳市科技计划项目的课题，同时担任Information Science和IJMLC等多个期刊审稿人。

教育经历

2017.09-2023.06 bat365官网登录入口计算机与软件学院博士
2013.09-2017.06 江西师范大学计算机信息工程学院学士

工作经历

2021.7-2021.12 香港中文大学数学系研究助理

研究领域

机器学习与不确定性信息处理

获得荣誉

教学课程

科研成果

[1] 周欣蕾, 王熙照. 不确定性视角下的弱监督学习. 西北大学学报. 2022, 52(5): 831–840.

[2] Xinlei Zhou, Sudong Chen, Nianjiao Peng, Xinpeng Zhou, Xizhao Wang. Uncertainty Guided Pruning of Classification Model Tree. Knowledge-Based Systems, 2023, 259: 110067.(IF:8.139)

[3] Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang. A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. Neurocomputing, 2022, 489: 449-465. (IF:5.779)

[4] Xinlei Zhou, Xizhao Wang, Cong hu, Ran Wang. An Analysis on the Relationship between Uncertainty and Misclassification Rate of Classifiers. Information Sciences, 2020, 535: 16-27. (IF:6.795)

[5] Xinlei Zhou, and Dasen Yan. Model tree pruning. International Journal of Machine Learning and Cybernetics, 2019, 10 (12): 3431-3444. (IF:3.753)

[6] Chao Liu, Xinlei Zhou, Xizhao Wang. Prediction Uncertainty Flatting for Performance Improvement of Deep Learning. Proceedings of the 5th International Conference on Uncertainty Quantification in Computational Science and Engineering.2023.

[7] Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xizhao Wang, QM Jonathan Wu. A review of generalized zero-shot learning methods. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023,45(4):4051-4070. (IF: 24.314)

[8] Nianjiao Peng, Xinlei Zhou, Ben Niu, Yuanyue Feng. Predicting Fundraising Performance in Medical Crowdfunding Campaigns Using Machine Learning. Electronics. 2021,10(2):143. (IF: 2.690)

[9] Dasen Yan, Xinlei Zhou, Xizhao Wang, Ran Wang. An Off-center Technique: Learning a Feature Transformation to Improve the Performance of Clustering and Classification. Information Sciences. 2019, 503: 635-651. (IF:5.910)

科研项目

2019.3.1-2021.01.31（参加）深圳市科技计划项目：大数据相依分类及其在股市分析中的应用