Quan Xiongwen

Quan Xiongwen

Name: Quan Xiongwen

Gender: male

Department: Department of Automation and Intelligent Sciences

Administrative position: 

Title: lecturer

Education: Doctor

Major: control theory and control engineering

Email: quanxw@nankai.edu.cn

Research interests: Optimization theory and applicationmachine learningMedical image analysis


Personal profile
Achievements
Writing papers
Lecture course
Social Appointments

[Education and Work Experience]

1997.9--2001.7 Bachelor's degree, Department of Automation, Nankai University

2001.7--2003.9 Master's degree, CIM Laboratory, Automation Department, Nankai University

2003.9--2007.7 Doctor's degree, CIM Laboratory, Automation Department, Nankai University

2007.7 so far Lecturer, Department of Automation and Intelligent Sciences, Nankai University


[Projects,Award and Patent]

Leaded projects

1.Multi-agent scheduling for manufacturing resources based on the Auction Mechanism(NO. 61403213), Youth Fund project of National Natural Science Foundation of China, 2015.01-2017.12.

2. A class of interval scheduling problem in demand chain based on game theory, Fundamental Research Funds for the Central Universities.

Participated projects

1. Research on Key Methods for Integrated Analysis of High-Throughput Heterogeneous Omics Data in Neurological Disease, (NO. 61973174), National Natural Science Foundation of China (NSFC), 2020.01-2023.12.

2. Disturbance management and optimal scheduling of container terminals (No. 70772052), National Natural Science Foundation of China (NSFC), 2007.01-2010.12.

3. Optimal supply chain control of enterprise product renewal,(No. 60474062), National Natural Science Foundation of China (NSFC), 2005.012007.12

4. Research on temporal and spatial model of logistics and Real-time dispatching and dynamic dispatching of vehicles , (05YFJMJC01300)General project of Tianjin Natural Science Foundation, 2005.012007.12 




[Publications and Books]

[1] 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

[2] 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

[3] Wenying YuePeng DuXiongwen 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

[4] 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.

[5] 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.

[6] 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. 

[7] 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. 


 


[Courses]

Automatic detection technology and systemAutomatic control principle experiment, Algorithm design






[Memberships]

1. Member of Intelligent Health and Bioinformation Committee, Chinese Association of Automation  

2. Member of mission Planning Committee, Chinese Society of Astronautics  

3. Member of Intelligent Command and Dispatch Committee, Chinese Command and Control Society