张仲楠 教授、博士生导师
Ph.D.美国德克萨斯大学达拉斯分校计算机科学系，2008.08
研究方向：大数据分析，人工智能，深度学习，数据挖掘，生物信息学
所属部门：软件工程系
电子邮件：zhongnan_zhang@xmu.edu.cn
个人主页：


个人简历：
教育背景
Ph.D.美国德克萨斯大学达拉斯分校计算机科学系，2008.08
M.S.东南大学计算机科学与工程系，2001.06
B.S. 东南大学计算机科学与工程系，1999.06

工作经历
2019/6至今，厦门大学，信息学院软件工程系，教授、博士生导师
2018/11 - 2019/6，厦门大学，软件学院软件工程系，教授、博士生导师
2017/8 – 2018/11，厦门大学，软件学院软件工程系，教授
2012/8 – 2017/7，厦门大学，软件学院软件工程系，副教授
2009/12 - 2012/7，厦门大学，软件学院软件工程系，助理教授

研究领域
大数据分析，人工智能，深度学习，数据挖掘，生物信息学

演讲/授课
数据库系统（本科）、IT专业英语（本科）、大数据处理技术（研究生）、数据挖掘与数据仓库（研究生）

学术和社会兼职
福建省人工智能学会：理事

近期科研项目
目前主要在研科研项目（持续更新中）：

1福建省科技计划引导性（重点）项目

2贵州某企业管理集团委托项目（立项经费超过200万）

近期发表文章
(1) Jianjian Yan, Zhongnan Zhang*, Kunhui Lin*, Fan Yang, Xiongbiao Luo, A hybrid scheme-based one-vs-all decision trees for multi-class classification tasks, Knowledge-Based Systems, 198 (2020), 105922.(JCR2区，CCF C类)
(2) Lingwei Xie, Song He, Zhongnan Zhang*, Kunhui Lin*, Xiaochen Bo*, Shu Yang, Boyuan Feng, Kun Wan, Kang Yang, Jie Yang, Yufei Ding, Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds, Bioinformatics, 36(9), 2020, 2848–2855. (JCR2区Top，CCF B类)
(3) Jie Yang, Song He, Zhongnan Zhang*, Xiaochen Bo*, NegStacking: drug-target interaction prediction based on ensemble learning and logistic regression, IEEE/ACM Transactions on Computational Biology and Bioinformatics, https://doi.org/10.1109/TCBB.2020.**.(JCR3区， CCF B类)
(4) Jianjian Yan, Zhongnan Zhang*, Lingwei Xie, Zhantu Zhu, A Unified Framework for Decision Tree on Continuous Attributes, IEEE Access, 7, 11924-11933, 2019. (JCR2区)
(5) Kang Yang, Zhongnan Zhang*, Song He and Xiaochen Bo*: Prediction of DTIs for high-dimensional and class-imbalanced data based on CGAN. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) , pp. 788-791, Madrid, Spain, 2018.(EI, CCF B类)
(6) Xiaoping Zheng, Song He, Xinyu Song, Zhongnan Zhang*, Xiaochen Bo*: DTI-RCNN: New efficient hybrid neural network model to predict drug–target interactions. 27th International Conference on Artificial Neural Networks (ICANN), LNCS 11139:104-114, 2018. (EI, CCF C类)
(7) Lingwei Xie, Song He, Xinyu Song, Xiaochen Bo*, Zhongnan Zhang*, Deep learning-based transcriptome data classification for drug-target interaction prediction, BMC genomics, 19, Suppl 7, 667, 2018.9.24. (JCR2区)
(8) Tingxi Wen, Zhongnan Zhang*, Deep Convolution Neural Network and Autoencoders-based Unsupervised Feature Learning of EEG Signals, IEEE Access, 6, 25399-25410, 2018. (JCR2区)
(9) Zhongnan Zhang*, Lei Hu, Ming Qiu, Fangyuan Gao, Events detection and community partition based on probabilistic snapshot for evolutionary social network, Peer-to-Peer Networking and Applications, 10(6), pp. 1272–1284, 2017. (SCI, CCF C类)
(10) Lingwei Xie, Song He, Yuqi Wen, Xiaochen Bo*, Zhongnan Zhang*, Discovery of novel therapeutic properties of drugs from transcriptional responses based on multi-label classification, SCIENTIFIC REPORTS, 7, 7136, 2017. (JCR3区)
(11) Lingwei Xie, Zhongnan Zhang*, Song He, Xiaochen Bo*, Xinyu Song, Drug–target interaction prediction with a deep-learning-based model. 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 469-476, 2017. (EI, CCF B类)
(12) Tingxi Wen, Zhongnan Zhang*, Effective and Extensible Feature Extraction Method Using Genetic Algorithm-Based Frequency-Domain Feature Search for Epileptic EEG Multi-classification, MEDICINE, 96(19), e6879，2017. (SCI)
(13) Tingxi Wen, Zhongnan Zhang*, Ming Qiu, Qingfeng Wu, Chunfeng Li, A Multi-objective Optimization Method for Emergency Medical Resources Allocation, Journal of Medical Imaging and Health Informatics, 7(2), pp. 393–399, 2017. (SCI)
(14) Zhongnan Zhang*, Chunfeng Li, Meihong Wang, Qingfeng Wu, A Hybrid Multi-Objective Evolutionary Algorithm for Operating Room Assignment Problem, Journal of Medical Imaging and Health Informatics, 7(1), pp. 47–54, 2017. (SCI)
(15) Zhongnan Zhang*, Tingxi Wen, Wei Huang, Meihong Wang, Chunfeng Li, Automatic epileptic seizure detection in EEGs using MF-DFA, SVM based on cloud computing, Journal of X-Ray Science and Technology, 25(2), pp. 261–272, 2017. (SCI)
(16) Tingxi Wen, Zhongnan Zhang*, Ming Qiu, Ming Zeng, Weizhen Luo, A two-dimensional matrix image based feature extraction method for classification of sEMG: a comparative analysis based on SVM, KNN and RBF-NN, Journal of X-Ray Science and Technology, 25(2), pp. 287–300, 2017. (SCI)
(17) Tingxi Wen, Zhongnan Zhang*, Kelvin K. L. Wong, Multi-Objective Algorithm for Blood Supply via Unmanned Aerial Vehicles to the Wounded in an Emergency Situation, PLOS ONE, 11(5), e**, 2016. (JCR3区)
(18) Lei Hu, Zhongnan Zhang*, Fangyuan Gao: Probabilistic Snapshot Based Evolutionary Social Network Events Detection. 10th International Conference on Mobile Ad-hoc and Sensor Networks, pp. 243-250, Maui, Hawaii, USA, 2014.(CCF C类)