Data scientist, Machine Learning Specialist, Ph.D.

Machine Learning Specialist, Solution Architect at Amazon Web Services

Previous data scientist at GMF ASSURANCES, Group COVEA

Previous Ph.D. in IRISA Institute for Research in Computer Science and Random Systems, one of the laboratory at French National Center for Scientific Research.

My research interests focus on machine learning, deep learning and artificial intelligence with various applications, including Natural Language Processing, digital marketing, online adversting and computer vision.

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Recent activities:

October 2019

Start my new journey at Amazon Web Services

September 2019

Publication of our Nature Language Processing project using active learning and pretrained model:

Understand customer reviews with less data and in short time: pretrained language representation and active learning

See the PDF from arXiv website: click here

April 2018:

Publish our data science method at arXiv.org to address one digital marketing challenge

Modelling customer online behaviours with neural networks: applications to conversion prediction and advertising retargeting

See the PDF from arXiv website: click here

July 2017:

Join my professional career at GMF ASSURANCES as Data Scientist

Use Machine Learning techniques for various Digital Marketing applications

July 2017:

I have finished my Ph.D. in Machine Learning at Laboratory IRISA

My thesis is now published online at HAL

February 2017:

Our journal paper has been accepted in Remote Sensing (impact factor 3.036) !!

Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification

Remote Sensing, special issue "Advances in Object-Based Image Analysis—Linking with Computer Vision and Machine Learning"

See the PDF from Journal website: click here

September 2016:

Oral presentation at the conference GEOBIA-2016

Faculty of Geo-Information Science and Earth Observation (ITC)

University of Twente, Enschede, The Netherlands.

August 2016:

Oral presentation at the conference WHIPSERS-2016

University of California, Los Angeles, United States.

April 2016:

Poster presentation at the conference STATLEARN-2016

Organised by French Society of Statistics

University of Bretagne Sud, Vannes, France.

January 2016:

Visiting research in Laboratory Image, City, Environment (LIVE)

Collaboration with Anne Puissant

University of Strasbourg, Strasbourg, France.

November 2015:

Participation in Data Science Symposium

Organised by IRISA, Inria Rennes-Bretagne Atlantique

Inria Convention Centre, Renne, France.

May 2015:

Oral presentation at the conference GBR-2015

National Laboratory of Pattern Recognition (NLPR) of Institute of Automation

Chinese Academy of Sciences, Beijing, China.

October 2014:

Participation in Workshop in Compute Vision

Organised by Inria Rennes-Bretagne Atlantique

INRIA, Campus Universitaire de Beaulieu, Renne, France


Contact me:

yanwei.cui@gmail.com