研究领域 数据挖掘、个性化推荐、复杂系统与综合集成
教育经历
2007/09-2012/07，中国科学院自动化研究所，工学博士
2003/09-2007/07，山东大学，计算机科学与技术专业（软件方向），工学学士
工作经历
2014/11-至今，中国科学院自动化研究所，副研究员
2018/06-2019/06，加州大学伯克利分校，访问学者
2012/07-2014/11，中国科学院自动化研究所，助理研究员
研究简介
郑楠博士主要从事数据挖掘、个性化推荐、综合集成等领域的研究，2013年入选中国科学院青年创新促进会会员。已在国际权威期刊及学术会议上发表学术论文20余篇，已授权发明专利5项。作为项目负责人承担国家自然科学基金项目、中国科学院院创新项目等，作为骨干主要参与了国家973计划、国家自然科学基金项目、自动化研究所科研项目等。
学术论文
1. Yaguang Song, Danli Wang, Kang Yue, Nan Zheng and Zuojun Shen. EEG-Based Motor Imagery Classification with Deep Multi-Task Learning[C]//2019 International Joint Conference on Neural Networks (IJCNN) 1-8.
2. Yaguang Song, Danli Wang, Kang Yue and Nan Zheng, 68-3: DeepFatigueNet: A Model for Automatic Visual Fatigue Assessment Based on Raw Single-Channel EEG[C]//SID Symposium Digest of Technical Papers, 2019.
3. Fanxia Zeng, Wensheng Zhang, Siheng Zhang and Nan Zheng. “Re-KISSME: A robust resampling scheme for distance metric learning in the presence of label noise.” Neurocomputing 330 (2019): 138-150.
4. Danli Wang, Xueyu Wang, Yaguang Song, Qian Xing & Nan Zheng. (2019). Visual Fatigue Assessment Based on Multi-task Learning. Journal of Imaging Science and Technology.
5. Yunfang Niu, Danli Wang, Ziwei Wang, Fan Sun, Kang Yue & Nan Zheng. (2019). User Experience Evaluation in Virtual Reality based on Subjective Feelings and Physiological Signals. Journal of Imaging Science and Technology.
6. Qiao Jin, Danli Wang, Xiaozhou Deng, Nan Zheng and Steve Chiu. AR-Maze: a tangible programming tool for children based on AR technology, Proceedings of the 17th ACM Conference on Interaction Design and Children. 2018: 611-616.
7. Wenpeng Hu ，Jiajun Zhang and Nan Zheng，Different Contexts Lead to Different Word Embeddings，COLING 2016，762~771.
8. Nan Zheng , Shuangyong Song and Hongyun Bao. A Temporal-topic Model for Friend Recommendations in Chinese Microblogging Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems. 45(9) pp.1245 - 1253, 2015.
9. Dongyuan Lu, and Nan Zheng. Exploring the Heterogeneity of Social Media: Dataset and A Pilot Study, ICIMCS, 2015.
10. 戴汝为，郑楠*；钱学森先生时代前沿的大成智慧学术思想；控制理论与应用；2014.
11. 郑楠；综合集成方法论的形成、发展与实践；复杂性与智能化，2014.
12. Nan Zheng, and Hongyun Bao. Flickr group recommendation based on user-generated tags and social relations via topic model. Proceedings of the 10th International Sympodium on Neural Networks, 2013, pp.514-523.
13. 包红云，李秋丹，高珩，郑楠；集成组内标签与用户链接关系的Flickr组推荐模型，模式识别与人工智能，2013，26（2）：176-181.
14. Nan Zheng，Qiudan Li，A recommender system based on tag and time information for social tagging systems，Expert Systems with Applications，2011，38（4）：4575-4587.
15. 郑楠，李秋丹，一种面向主题的Flickr组内照片浏览方法，模式识别与人工智能，2011，（02）：272-276.
16. Shuangyong Song, Qiudan Li and Nan Zheng, Understanding a Celebrity with His Salient Events. AMT 2010: 86-97.
17. Shuangyong Song, Qiudan Li and Nan Zheng, A Spatio-temporal Framework for Related Topic Search in Micro-Blogging. AMT 2010: 63-73.
18. Nan Zheng，Qiudan Li，Shengcai Liao，Leiming Zhang，Which photo groups should I choose? A comparative study of recommendation algorithms in Flickr，Journal of Information Science，2010，36（6）：733-750.
19. Nan Zheng，Qiudan Li，Shengcai Liao，Leiming Zhang，Flickr group recommendation based on tensor decomposition，Proc. of the 33rd SIGIR conference，2010.
20. 张雷鸣，李秋丹，郑楠；基于用户标注的信息分类显示与浏览系统， 全国模式识别会议，南京，2009.
