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Heng-Tze Cheng

Senior Software Engineer

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Mountain View, California

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Heng-Tze Cheng's Email Addresses & Phone Numbers

Heng-Tze Cheng's Work Experience

Google Research

Senior Software Engineer

March 2014 to Present

San Francisco Bay Area


Software Engineering Intern

May 2013 to August 2013

San Francisco Bay Area

Motorola Mobility

Research Intern

May 2012 to August 2012

Greater Chicago Area

Heng-Tze Cheng's Education

Carnegie Mellon University

Ph.D. Electrical and Computer Engineering 3.85/4.0

2009 to 2013

National Taiwan University

B.S. Electrical Engineering 3.94/4.0 (overall), 4.0/4.0 (major)

2004 to 2008

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About Heng-Tze Cheng's Current Company

Google Research

Sibyl Large-Scale Machine Learning Team, Research & Machine Intelligence I work on Sibyl, one of the most widely-used general machine learning systems at Google that scales up to billions of features and 100s of billions of training examples. Sibyl powers the ranking and scoring of Google Ads ranking, YouTube video recommendation, Google Play Store search and discovery,...

Frequently Asked Questions about Heng-Tze Cheng

What company does Heng-Tze Cheng work for?

Heng-Tze Cheng works for Google Research

What is Heng-Tze Cheng's role at Google Research?

Heng-Tze Cheng is Senior Software Engineer

What is Heng-Tze Cheng's personal email address?

Heng-Tze Cheng's personal email addresses are m****[email protected], and h****[email protected]

What is Heng-Tze Cheng's business email address?

Heng-Tze Cheng's business email addresses are not available

What is Heng-Tze Cheng's Phone Number?

Heng-Tze Cheng's phone (213) ***-*185

What industry does Heng-Tze Cheng work in?

Heng-Tze Cheng works in the Computer Software industry.

About Heng-Tze Cheng

馃摉 Summary

* 8+ years of research and industrial experience in machine learning and its applications. * 15+ papers and 2 U.S. patent applications in the related fields. * Extensive experience in productionizing large-scale machine learning systems end-to-end (logging, feature engineering, model training & serving, corpus indexing and retrieval). * Experience in building and A/B testing search ranking and recommendation systems. * Expertise in classification/clustering algorithms, probabilistic graphical models, and neural networks. * Strong programming skills in C++, Python, Go, Java, Matlab. * Experience in mobile application development and big data analytics. * Research experience in machine learning, audio/image/multimodal signal processing, human activity recognition, indoor positioning, computer vision, and content-based information retrieval. * Highly self-motivated. Proven ability in independent research, teamwork, and efficient project development.Senior Software Engineer @ Sibyl Large-Scale Machine Learning Team, Research & Machine Intelligence I work on Sibyl, one of the most widely-used general machine learning systems at Google that scales up to billions of features and 100s of billions of training examples. Sibyl powers the ranking and scoring of Google Ads ranking, YouTube video recommendation, Google Play Store search and discovery, Gmail, Google+, and more. - Developed a new machine learning model and document retrieval system for general search ranking and recommendation problems. - Led the cross-team effort consisting of 10+ engineers and 4+ PMs from 3 product areas from design to implementation to several product launches. - Increased annual revenue by +X% and user engagement by +Y% with improved personalized user experience. From March 2014 to Present (1 year 8 months) San Francisco Bay AreaSoftware Engineering Intern @ Google Ads - Machine Learning for Ads Ranking - Designed two feature selection algorithms for conversion rate and click-through rate prediction models in Google Ads ranking. - Implemented scalable algorithms using MapReduce framework. - Proposed model outperformed the model used in production, leading to a potential revenue gain. From May 2013 to August 2013 (4 months) San Francisco Bay AreaResearch Intern @ Predictive Analytics team, Applied Research Center - Designed and implemented a novel human activity recognition system using sensor data from mobile devices - Developed an Android app prototype with activity recognition engine - Submitted a provisional patent application From May 2012 to August 2012 (4 months) Greater Chicago AreaMcKinsey Insight Program Member @ Worked in a team with McKinsey consultants and fellow participants to research, develop, and present a business strategy for a biotechnology company. From June 2012 to June 2012 (1 month) Greater Chicago AreaSoftware Engineering Intern @ - Designed a context-aware multimedia recommender system using mobile phone sensors. - Independently developed and released the recommender app in Android for future production. From May 2011 to August 2011 (4 months) San Francisco Bay AreaEngineering Research Intern @ Office of The Chief Scientist Research & Development - Designed and implemented a set of new algorithms and apparatus for contactless gesture recognition using proximity sensors. - Filed a US patent application and published two papers. From May 2010 to August 2010 (4 months) Greater San Diego AreaPh.D., Electrical and Computer Engineering, 3.85/4.0 @ Carnegie Mellon University From 2009 to 2013 B.S., Electrical Engineering, 3.94/4.0 (overall), 4.0/4.0 (major) @ National Taiwan University From 2004 to 2008 Heng-Tze Cheng is skilled in: Machine Learning, Android, Algorithms, Python, C++, Matlab, R, Go, Computer Vision, MapReduce, OpenCV, Mobile Applications, Pattern Recognition, Information Retrieval, Software Development, Java, Hadoop, Computer Science, Android Development, CUDA, Signal Processing, Verilog, Data Mining, Statistical Inference, Graphical Models, Natural Language..., Speech Recognition, OpenMP, Mobile Computing, Wearable Computing, Audio Processing, Music Information...

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Heng-Tze Cheng's Personality Type

Extraversion (E), Sensing (S), Thinking (T), Judging (J)

Average Tenure

0 year(s), 6 month(s)

Heng-Tze Cheng's Willingness to Change Jobs



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Heng-Tze Cheng's Achievements

Best Paper Award

Issued by International Conference on Mobile Computing, Applications, and Services 路 2010

Qualcomm Research Center Scholarship

Issued by Qualcomm 路 September 2010

Nokia Research Center Fellowship

Issued by Nokia Research Center 路 October 2009

1st Prize, National Engineering Paper Competition

Issued by Chinese Institute of Engineers 路 2008

1st Prize, National Taiwan University Engineering Technology Paper Contest

Issued by National Taiwan University 路 2008

Presidential Award

Issued by National Taiwan University 路 2008

Google GRAD CS Forum 2012

Issued by Google 路 January 2011

McKinsey Insight Program 2012

Issued by McKinsey & Company 路 June 2012

Carnegie Institute of Technology Dean's Fellowship

Issued by Carnegie Mellon University 路 2009

NSF/ACM MobiSys 2013 Travel Award

Issued by NSF/ACM SIGMOBILE 路 2013

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