全雄文

2022年06月14日 16:11  点击:[]

基本信息

姓名:全雄文

性别:男

所属部门:自动化与智能科学系

行政职务

职称:讲师

学历:博士

所学专业:控制理论与控制工程

办公电话:13920016137

电子邮件:quanxw@nankai.edu.cn

研究方向:优化理论与应用,机器学习,医学图像分析

个人简介

1997.9--2001.7 公司自动化系攻读学士学位

2001.7--2003.9 公司自动化系CIM研究室攻读硕士学位

2003.9--2007.7 公司自动化系CIM研究室攻读博士学位

2007.7至今 公司自动化与智能科学系任教

研项目、成果、获奖、专利

主持科研项目

1. 基于拍卖机制的制造资源多智能体调度(61403213),国家自然科学基金青年基金项目,2015.01-2017.12。

2.  一类基于博弈论的需求链区间调度问题,中央高校基本科研业务费

参与科研项目

1.  神经系统疾病高通量异质性组学数据整合分析关键方法研究(61973174),国家自然科学基金面上项目,2020.01-2023.12。

2.  集装箱码头扰动管理与优化调度(No. 70772052),国家自然科学基金面上项目,2007.01-2010.12。

撰写论文、专著、教材等

[1] Ken Lin, Xiongwen Quan*, Wenya Yin and Han Zhang. A Contrastive Learning Pre-Training Method for Motif Occupancy Identification[J]. InternationalJournal of Molecular Sciences, 2022, 23, 4699. ( SCI 2区 TOP)

[2] Xingyuan Ou, Li Gao, Xiongwen Quan*, Han Zhang, Jinglong Yang, Wei Li. BFENet: A two-stream interaction CNN method for multi-label ophthalmic diseases classification with bilateral fundus images. Computer Methods and Programs in Biomedicine, 2022, 219,: 106739 (SCI 2区)

[3] Ken Lin, Xiongwen Quan*, Chen Jin, Zhuangwei Shi, Jinglong Yang. An Interpretable Double-Scale Attention Model for Enzyme Protein Class Prediction Based on Transformer Encoders and Multi-Scale Convolutions. Frontiers in Genetics, 2022, 13: 885627. (SCI 2区)

[4] Shuo Gao, Li Gao, Xiongwen Quan*, Han Zhang, Hang Bai, Chuanze Kang.Automatic arteriosclerotic retinopathy grading using four-channel with image merging. Computer Methods and Programs in Biomedicine, 2021, 208: 106274, https://doi.org/10.1016/j.cmpb.2021.106274 (SCI 2区)

[5] Hang Bai, Li Gao, Xiongwen Quan*, Han Zhang, Shuo Gao, Chuanze Kang, Jiaqiang Qi. OTNet: A CNN Method Based on Hierarchical Attention Maps for Grading Arteriosclerosis of Fundus Images with Small Samples. Interdisciplinary Sciences: Computational Life Sciences, 2021, https://doi.org/10.1007/s12539-021-00479-8 (SCI 2区)

[6] Jinglong Yang , Xiongwen Quan*, Han Zhang. Novel GAN Inversion Model with Latent Space Constraints for Face Reconstruction. International Conference on Neural Information Processing(ICONIP), 2021:.620–631,

[7] Wenying Yue, Peng Du, Xiongwen Quan*, Ying Chen. A new strategy based on approximate dynamic programming to maximize the net revenue of IaaS cloud providers with limited resources. Future Generation Computer Systems, 2019, 101: 1168-1186 (SCI 1区)

[8] Zhang Han, Huo Xueting, Guo Xia, Su Xin, Quan Xiongwen*, Jin Chen. A disease-related gene mining method based on weakly supervised learning model. BMC Bioinformatics, 2019, 20. (SCI 2区)

[9] Xia Guo, Xue Jiang, Jing Xu, Xiongwen Quan*, Min Wu, Han Zhang. Ensemble Consensus-Guided Unsupervised Feature Selection to Identify Huntington’s Disease-Associated Genes. Genes, 2018, 9(7):1-11. (SCI 4区)

[10] Xue Jiang, Han Zhang, Feng Duan, Xiongwen Quan*. Identify Huntington's disease associated genes based on restricted Boltzmann machine with RNA-seq data, BMC Bioinformatics, 2017, 18(1):447. (SCI 2区)

[11] Xue Jiang, Han Zhang, Xiongwen Quan*, Zhandong Liu, Yanbin Yin. Disease-related gene module detection based on a multi-label propagation clustering algorithm, PLOS ONE, 2017, 12(5):e0178006. (SCI 4区)

讲授课程

算法设计与分析、自动控制原理实验

社会兼职

1. 中国自动化学会智能健康与生物信息专委会委员

2. 中国宇航学会任务规划专委会委员

3. 中国指挥与控制学会智能指挥与调度专委会委员

4. Computers in Biology and medicine、Bioinfomatics和 TCBB审稿人






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