Yi Tang

Yi Tang Email and Phone Number

Machine Learning at Haystack News @ Haystack News
Yi Tang's Location
Redmond, Washington, United States, United States
Yi Tang's Contact Details
About Yi Tang

Yi has been a passionate ML practitioner/applied scientist for 10 years. He deeply believes in a data-driven approach and are excited about applying ML/AI to solve the world's problems. He has a solid understanding of ML problems including classification, regression, ranking and have experience on a wide range of topics such as Deep Learning, Reinforcement Learning, Recommender System, Natural Language Processing and native ads/RTB optimization.

Yi Tang's Current Company Details
Haystack News

Haystack News

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Machine Learning at Haystack News
Yi Tang Work Experience Details
  • Haystack News
    Machine Learning Staff Engineer
    Haystack News Aug 2023 - Present
    San Francisco, Ca, Us
    Machine Learning at Haystack News
  • Microsoft
    Sr Machine Learning Scientist, Tech Lead
    Microsoft Apr 2020 - Nov 2023
    Redmond, Washington, Us
    Working with a team of scientists and engineers to continuously improve content recommendation service used by millions of users -- Microsoft News & Feeds services.
  • Microsoft
    Sr Machine Learning Scientist
    Microsoft Mar 2017 - Mar 2020
    Redmond, Washington, Us
    Worked for Microsoft News on both news recommendation and native ads monetization.1. Recommendation & Relevance:Built deep semantic models (DSSM, BERT, MT-DNN) for personalization and brought double-digit improvement to user engagement and multi-million-dollar impact to revenue.Built user segmentation algorithm/pipeline for personalized feeds curation.2. Monetization:Mediation for Native Ads Traffic: 26+% boost on RPM, contributed to multi-million-dollar growth of native revenue.Prediction of bidding floor in Real-time Bidding (RTB): 12+% boost on RPM.Optimization of safety nets for RTB
  • Microsoft
    Machine Learning Scientist Ii
    Microsoft Dec 2014 - Mar 2017
    Redmond, Washington, Us
    - Built LDA topic models based on large corpus of licensed news, applied model to represent user interests and contributed to building the first version of content recommendation engine for MSN homepage.- Collaborated with team to apply Contextual Bandits algorithm to news recommendation of largest-scale in Microsoft in real-time
  • Microsoft
    Software Development Engineer Ii
    Microsoft Apr 2013 - Dec 2014
    Redmond, Washington, Us
    Projects:1). Trending Stories: Extracted trending URLs by monitoring web signals, clustered them based on content similarity, and presented a list of ranked stories on web portal.2). Related Content: built a system that supports full-text indexing, fast retrieval and computation of related content.3). Local News.4). Entity ranking in apps.5). Query understanding in Cortana for international markets.
  • Motorola Solutions
    Senior Staff Research Engineer
    Motorola Solutions Nov 2012 - Mar 2013
    Chicago, Il, Us
    - Worked on 3D image analytics using machine learning and computer vision techniques;- Designed algorithms for depth estimation, door status classification, and camera angle estimation;- Built and tested the major component of a working prototype and demonstrated its value to the customer;- Helped the team complete the Pilot (proof-of-concept) successfully.
  • University At Buffalo
    Research Assistant
    University At Buffalo Jun 2009 - Aug 2012
    Buffalo, Ny, Us
    Supervisor: Dr. Sargur Srihari- Shoeprint Clustering, Retrieval and Identification- Statistical Models of Computing Likelihood Ratio for Identification- Structure Learning of Bayes Nets- Develop Feature Truthing Software in Handwriting
  • University At Buffalo
    Teaching Assistant
    University At Buffalo Aug 2006 - May 2011
    Buffalo, Ny, Us
    - Taught recitations for undergraduate and graduate courses: C++/Java/Matlab programming, Operating Systems, Distributed Systems;- Implemented Java Unit Testing (JUnit) for automated grading of student projects.
  • University At Buffalo
    Research Assistant
    University At Buffalo Jun 2008 - Oct 2008
    Buffalo, Ny, Us
    Supervisor: Dr. Chunming Qiao- Driver Mobility Profiling in Vehicular Networks;- Information Fusion Architecture of Safety Applications in Vehicular Networks.
  • Yunnan Yuntianhua Co., Ltd.
    Chemical Analyst
    Yunnan Yuntianhua Co., Ltd. Aug 1995 - Aug 2002
    Zhaotong, Yun, Cn
    1. Analyzed composition of chemical products;2. Provided quality monitoring and guidance to operation control.

Yi Tang Skills

.net C/c++ C Ruby Matlab Delphi/pascal Cedar Solutions Eclipse Html Artificial Intelligence Programming Latex Java Analytical Skill Big Data Javascript C++ Computer Vision Css Sql Software Development Machine Learning C# Analysis Data Mining Pattern Recognition

Yi Tang Education Details

  • University At Buffalo
    University At Buffalo
    Computer Science
  • Beijing University Of Posts And Telecommunications
    Beijing University Of Posts And Telecommunications
    Computer Science
  • University Of Electronic Science And Technology Of China
    University Of Electronic Science And Technology Of China
    Electronics
  • Sichuan Vocational College Of Chemical Technology
    Sichuan Vocational College Of Chemical Technology
    Chemical Analysis (4-Year Program For Technical Diploma)

Frequently Asked Questions about Yi Tang

What company does Yi Tang work for?

Yi Tang works for Haystack News

What is Yi Tang's role at the current company?

Yi Tang's current role is Machine Learning at Haystack News.

What is Yi Tang's email address?

Yi Tang's email address is yi****@****alo.edu

What is Yi Tang's direct phone number?

Yi Tang's direct phone number is +150344*****

What schools did Yi Tang attend?

Yi Tang attended University At Buffalo, Beijing University Of Posts And Telecommunications, University Of Electronic Science And Technology Of China, Sichuan Vocational College Of Chemical Technology.

What skills is Yi Tang known for?

Yi Tang has skills like .net, C/c++, C, Ruby, Matlab, Delphi/pascal, Cedar, Solutions, Eclipse, Html, Artificial Intelligence, Programming.

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