Difference between revisions of "Miao Fan"

From cslt Wiki
Jump to: navigation, search
Line 1: Line 1:
# 范淼
+
-----个人简介------
  
 
[[文件: MF_PHOTO.jpg|180px]]
 
[[文件: MF_PHOTO.jpg|180px]]
Line 40: Line 40:
  
 
++++++++++++++++++++++++++++
 
++++++++++++++++++++++++++++
 
[https://union-click.jd.com/jdc?d=lKjrlR&come=appmessage 范淼、李超;《Python机器学习及实践:从零开始通往Kaggle竞赛之路》; 清华大学出版社 (Tsinghua University Press)] [http://www.tup.tsinghua.edu.cn/upload/books/yz/069392-01.pdf 书籍样章] [https://union-click.jd.com/jdc?d=lKjrlR&come=appmessage 京东购书] [http://pan.baidu.com/s/1bGp15G 源代码 (Source Codes)] [https://git.coding.net/fanmiao_thu/Python_ML_and_Kaggle.git Github] [勘误列表]
 
 
 
[《Python(深度)强化学习实战》]
 
 
[范淼;《PySpark 2.0 分布式机器学习与大数据分析》 ;清华大学出版社 (Tsinghua University Press) 计划出版] [https://www.youtube.com/playlist?list=PL-x35fyliRwhDv3g1dae8v2F6-_bzBfGK YouTube视频] [源代码(Source Codes)]
 
 
[范淼;《Python深度学习实践:探秘谷歌TensorFlow》] [https://www.tensorflow.org/ Google TensorFlow] [https://arxiv.org/pdf/1610.01178v1.pdf A Tour of TensorFlow] [https://www.udacity.com/course/deep-learning--ud730 谷歌官方视频教程] [https://www.youtube.com/playlist?list=PLXO45tsB95cKI5AIlf5TxxFPzb-0zeVZ8 周莫烦简易视频教程]
 
 
[范淼;《Python推荐系统实战》(Recommender System in Practice with Python Programming)] [https://arxiv.org/pdf/1606.07792v1.pdf Wide & Deep Learning for Recommender Systems]
 
 
 
 
++++++++++++++++++++++++++++
 
 
[http://www.deeplearningbook.org/contents/acknowledgements.html Deep Learning(校对图书)] [http://www.deeplearningbook.org 公开下载网址] [https://github.com/exacity/deeplearningbook-chinese/releases/download/v0.5-beta/dlbook_cn_v0.5-beta.pdf 中文版] [http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial Tutorial(教程)]
 
 
[https://www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf Yann LeCun, Yoshua Bengio & Geoffrey Hinton; Nature: Review of Deep Learning] 
 
 
[http://www.cs.cmu.edu/~tom/pubs/Science-ML-2015.pdf M.I.Jordan & T.M.Mitchell; Science: Machine learning Trends, perspectives, and prospects ]
 
 
[http://cs229.stanford.edu/materials.html  Machine Learning (Stanford University)] [https://www.youtube.com/playlist?list=PLC5F94EBABE15D569 YouTube(视频)] [http://open.163.com/special/opencourse/machinelearning.html 网易公开课视频]
 
 
[http://mmds.org/ Mining of Massive Datasets] [https://www.youtube.com/channel/UC_Oao2FYkLAUlUVkBfze4jg Youtube(视频)]
 
 
[http://spark.apache.org/docs/latest/api/python/index.html  PySpark 2.x] [https://www.youtube.com/playlist?list=PL-x35fyliRwhDv3g1dae8v2F6-_bzBfGK YouTube视频] [https://www.gitbook.com/book/jaceklaskowski/mastering-apache-spark/details 参考文档]
 
 
[http://incompleteideas.net/sutton/book/bookdraft2017nov5.pdf Reinforcement Learning: An Introduction (MIT Press)]
 
 
[https://www.cs.cornell.edu/jeh/book2016June9.pdf Foundations of Data Science]
 
 
[https://courses.csail.mit.edu/6.042/spring17/mcs.pdf Mathematics for Computer Science]
 
 
[http://www.mlyearning.org/ Machine Learning Yearning]
 
 
[http://www.wildml.com/ WildML]
 
 
[https://morvanzhou.github.io/tutorials/ Morvan莫烦机器学习视频]
 
 
 
++++++++++++++++++++++++++++
 
 
Pre-mentors/advisers:  [http://cs.nyu.edu/grishman/ Ralph Grishman] [http://stat.rutgers.edu/home/pingli/doc/PingLiCV.pdf Ping Li] [https://scholar.google.com.hk/citations?user=jgy4jCAAAAAJ&hl=zh-CN Haifeng Wang] [http://www.thss.tsinghua.edu.cn/publish/soft/3641/2010/20101214090035662150715/20101214090035662150715_.html Jianmin Wang] [http://baike.baidu.com/view/9021485.htm Guoshi Wu] [http://cslt.riit.tsinghua.edu.cn/~fzheng/ Thomas Fang Zheng] [http://cslt.riit.tsinghua.edu.cn/~qzhou/chs/index.htm Qiang Zhou]
 
 
Outstanding Friends: [http://dblp.uni-trier.de/pers/hd/g/Gan:Chuang Chuang Gan] [https://sites.google.com/site/wenbinghuangshomepage/ Wenbing Huang] [http://www.ruiyan.me/ Rui Yan] [http://yindawei.com Dawei Yin] [http://ir.hit.edu.cn/~zhaosq/ Shiqi Zhao] [https://www.microsoft.com/en-us/research/people/jiazhan/ Jianwen Zhang]
 

Revision as of 02:56, 9 November 2021


个人简介------

MF PHOTO.jpg

范淼

主页(海外版) 新浪微博

++++++++++++++++++++++++++++

B.Eng @ Beijing University of Posts and Telecommunications [北京邮电大学 软件学院 软件工程专业 工学学士学位] —— 导师:吴国仕、李晶;

Ph.D. in C.S. @ Tsinghua University [清华大学 计算机科学与技术系 计算机科学与技术专业 工学博士学位] —— 导师:郑方周强

Visiting Scholar @ New York University [国家留学基金委 公派联合培养博士 美国纽约大学计算机系] —— 导师:Ralph Grishman

Postdoctoral Scholar @ Baidu Research & Tsinghua University [百度-清华大学联合培养博士后 清华大学软件学院 信息系统工程专业] —— 联合导师:王海峰 (百度)王建民 (清华大学)


++++++++++++++++++++++++++++

Google Scholar(谷歌学术档案)

DBLP(DBLP论文索引)

Kaggle Profile(Kaggle竞赛成绩)


++++++++++++++++++++++++++++

Best B.Eng Dissertation @ Beijing University of Posts and Telecommunications (北京邮电大学本科优秀毕业设计:基于百科知识的中文自动问题生成技术的研究与系统实现)

Ph.D. Research Proposal(清华大学博士开题报告:基于低维表示的大规模实体关系挖掘技术研究)

Best Ph.D. Thesis Nomination @ Tsinghua University (清华大学计算机系优秀博士毕业生;清华大学校级优秀博士论文提名:基于表示学习的知识挖掘研究) Slides of thesis defense (答辩PPT) References(已发表的学术论文集)

Slides of NYU Special Talks(美国纽约大学授课讲义:Statistical NLP: A Machine Learning Perspective)


++++++++++++++++++++++++++++