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，耀世娱乐，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，耀世娱乐，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，耀世娱乐，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年入选耀世娱乐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、耀世娱乐院创新项目等，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. , , , and . 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，，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, and , Understanding a Celebrity with His Salient Events. : 86-97.
17. Shuangyong Song, and , A Spatio-temporal Framework for Related Topic Search in Micro-Blogging. : 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.
