生成式对抗网络:从生成数据到创造智能

王坤峰; 左旺孟; 谭营; 秦涛; 李力; 王飞跃

doi:10.16383/j.aas.2018.y000001

生成式对抗网络:从生成数据到创造智能

doi: 10.16383/j.aas.2018.y000001

王坤峰^1,2, ,,
左旺孟^3,,
谭营^4,,
秦涛^5,,
李力^6,,
王飞跃^1,7,

1.
中国科学院自动化研究所复杂系统管理与控制国家重点实验室北京 100190
2.
青岛智能产业技术研究院青岛 266000
3.
哈尔滨工业大学计算机科学与技术学院哈尔滨 150001
4.
北京大学信息科学技术学院北京 100871
5.
微软亚洲研究院北京 100080
6.
清华大学自动化系北京 100084
7.
国防科技大学军事计算实验与平行系统技术研究中心长沙 410073

基金项目:

国家自然科学基金 91720000

国家自然科学基金 61533019

详细信息

作者简介:
左旺孟  哈尔滨工业大学计算机科学与技术学院教授.主要研究方向为计算机视觉, 机器学习, 生物特征识别.E-mail:wmzuo@hit.edu.cn

谭营  北京大学信息科学技术学院教授.主要研究方向为计算智能, 群体智能, 机器学习.E-mail:ytan@pku.edu.cn

秦涛  微软亚洲研究院资深研究员, 主要研究方向为机器学习, 博弈论和多智能体系统, 搜索和在线广告.E-mail:taoqin@microsoft.com

李力  清华大学自动化系副教授.主要研究方向为人工智能和机器学习, 智能交通系统和智能汽车.E-mail:li-li@tsinghua.edu.cn

王飞跃  中国科学院自动化研究所复杂系统管理与控制国家重点实验室研究员.国防科技大学军事计算实验与平行系统技术研究中心主任.主要研究方向为智能系统和复杂系统的建模、分析与控制.E-mail:feiyue.wang@ia.ac.cn

通讯作者:
王坤峰中国科学院自动化研究所复杂系统管理与控制国家重点实验室副研究员.主要研究方向为智能交通系统, 智能视觉计算, 机器学习.本文通信作者.E-mail:kunfeng.wang@ia.ac.cn

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- 被引次数: 0
出版历程
- 收稿日期: 2018-05-01
- 刊出日期: 2018-05-20

Generative adversarial networks: from generating data to creating intelligence

Wang Kun-Feng^{1,2
, ,},
Zuo Wang-Meng^3
,,
Tan Ying^4
,,
Qin Tao^5
,,
Li Li^6
,,
Wang Fei-Yue^{1,7
,}

1.
The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190
2.
Qingdao Academy of Intelligent Industries, Qingdao 266000
3.
School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001
4.
School of Electronics Engineering and Computer Science, Peking University, Beijing 100871
5.
Microsoft Research Asia, Beijing 100080
6.
Department of Automation, Tsinghua University, Beijing 100084
7.
Research Center for Computational Experiments and Parallel Systems Technology, National University of Defense Technology, Changsha 410073

Funds:

National Natural Science Foundation of China 91720000

National Natural Science Foundation of China 61533019

More Information

Author Bio:
Professor at the School of Computer Science and Technology, Harbin Institute of Technology. His research interest covers computer vision, machine learning, and biometrics

Professor at the School of Electronics Engineering and Computer Science, Peking University. His research interest covers computational intelligence, swarm intelligence, and machine learning

Senior researcher at Microsoft Research Asia. His research interest covers machine learning, game theory and multi-agent system, search and advertising

Associate professor at Department of Automation, Tsinghua University. His research interest covers artificial intelligence and machine learning, intelligent transportation systems and intelligent vehicles

Professor at The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. Director of the Research Center for Computational Experiments and Parallel Systems Technology, National University of Defense Technology. His research interest covers modeling, analysis, and control of intelligent systems and complex systems

Corresponding author: WANG Kun-Feng Associate professor at The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. His research interest covers intelligent transportation systems, intelligent visual computing, and machine learning. Corresponding author of this paper

摘要

HTML全文

图 1 GAN的基本结构和计算流程

Fig. 1 Basic structure and computation procedure of GAN

下载: 全尺寸图片幻灯片

图 2 arXiv上GAN论文数量的变化趋势

Fig. 2 Trend of the number of GAN papers published on arXiv

下载: 全尺寸图片幻灯片

图 3 arXiv上GAN论文所属的TOP 10学科领域

Fig. 3 Top 10 subject categories of the GAN papers published on arXiv

下载: 全尺寸图片幻灯片

参考文献(21)

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