纵向项目：

国家自然科学基金委员会，面上项目，61973174，面向神经疾病的高通量异构组学数据集成分析的关键方法研究，2020/1-2024/12，63万，在研，参加

国家自然科学基金委员会，面上项目，71772095，考虑消费者行为的O2O服务企业决策优化与供应链协同研究，2018/1-2021/12，48万，在研，参加

国家自然科学基金委员会，青年基金项目，61403213，基于拍卖机制的制造资源多主体调度方法研究，2015/1-2017/12, 24万，已结题，主持

横向项目：

《基于智能系统集成平台的绿色建筑运行分析与评价》、《分布智力资源驱动的产品创新设计理论与方法研究》，《任务分配模型构建技术研究》以及飞行器路径规划等

[1] Zhang Han,Huo Xueting, Guo Xia, Su Xin, QuanXiongwen*, Jin Chen. Adisease-related gene mining method based on weakly supervised learning model.BMC Bioinformatics (2018 BIBM推荐, Madrid, Spain, 03-06 December2018, regular paper, CCF B 类会议), 2019, 20. SCI 二区，影响因子2.213

[2] Xia Guo,Xue Jiang, Jing Xu, Xiongwen Quan*,Min Wu, Han Zhang. Ensemble Consensus-Guided Unsupervised Feature Selection toIdentify Huntington’s Disease-Associated Genes. Genes, 2018, 9(7):1-11. SCI 三区

[3] Xue Jiang,Han Zhang, Feng Duan, Xiongwen Quan*.Identify Huntington's disease associated genes based on restricted Boltzmannmachine with RNA-seq data, BMC Bioinformatics, 2017, 18(1):447. SCI 二区，影响因子2.213

[4] Xue Jiang,Han Zhang, Xiongwen Quan*, ZhandongLiu, Yanbin Yin. Disease-related gene module detection based on a multi-labelpropagation clustering algorithm, PLOS ONE, 2017, 12(5):e0178006. SCI 三区

[5] Wei Li ,Yanbin Yin , Xiongwen Quan, Han Zhang*. GeneExpression Value Prediction Based on XGBoost Algorithm. Frontiers in Genetics,2019,DOI: 10.3389/fgene.2019.01077. SCI二区.

[6] Xin Su, Jing Xu, YanbinYin, Xiongwen Quan, Han Zhang*. AntimicrobialPeptide Identification Using Multi-scale Convolutional Network. BMCBioinformatics, 2019, 20(1): 730. SCI二区，影响因子2.213

[7] Wanwan Huang , Han Zhang*, Xiongwen Quan. A New Algorithm forMedical Image Fusion from CT and MR-T2 with Densely Connected U-Net, 已投稿

[8] Wanwan Huang , Han Zhang*, Xiongwen Quan. A Medical Image FusionMethod Guided by Multi-scale processing Framework, 已投稿

[9]Liang Yu, Yang Jinglong, Quan Xiongwen, Zhang Han. MetastaticBreast Cancer Recognition in Histopathology Images Using Convolutional NeuralNetwork with Attention Mechanism. 2019 Chinese Automation Congress, CAC2019,  2019, 2922-2926

[10] ShuoGao, Li Gao, Xiongwen Quan*, HanZhang, Hang Bai, Chuanze Kang. Automatic Arteriosclerotic Retinopathy GradingUsing Four-Channel with Image Merging. Computer Methods and Programs inBiomedicine, 已投稿

[11] Hang Bai, Li Gao, XiongwenQuan*, Han Zhang, Shuo Gao, Chuanze Kang, Jiaqiang Qi. Hierarchicalattention mechanism based CNN method for grading arteriosclerosis of fundusimages under small samples. Artificial Intelligence In Medicine, 已投稿  

[12] Xue Jiang, Hang Zhang, Zhao Zhang, XiongwenQuan. Flexible Non-negative Matrix Factorization to Unravel Disease-relatedGenes, IEEE/ACM Transactions onComputational Biology andBioinformatics, doi:10.1109/TCBB.2018. 2823746. SCI 二区，影响因子2.428.

[13] Xue Jiang, Han Zhang*, Xiongwen Quan,Yanbin Yin. A Heterogeneous Networks Fusion

Algorithm Based on Local TopologicalInformation for Neurodegenerative Disease. Current

Bioinformatics, 2017, 12(5): 387-397. SCI 四区

[14] Xue Jiang, Han Zhang*, Xiongwen Quan,Meta-analysis for Feature Selection Based on Gene Co-expression Network, BioMed Research International, 2016. SCI三区

[15] WenyingYue, Peng Du, Xiongwen Quan*, Ying Chen. A new strategy based onapproximate dynamic programming to maximize the net revenue of IaaS cloudproviders with limited resources. Future Generation Computer Systems, 2019,101: 1168-1186. 计算机类SCI 一区

[16] Wei Li, Qingqing Zhao, Han Zhang*, Xiongwen Quan, Jing Xu, Yanbin Yin. BayesianMulti-scale Convolutional Neural Network for Motif Occupancy Identification, 2020BIBM(CCF B类会议)

[17] Zhuangwei Shi1, Han Zhang*, Chen Jin, XiongwenQuan, Yanbin Yin. VGAELDA: a representation learning model based on variationalinference and graph autoencoder for predicting lncRNA-disease associations，BMC Bioinformatics, 已录用