Image of Richard Wang

Richard Wang

Founder / CTO

Principal AI Scientist at Target

Mountain View, California

Section title

Richard Wang's Email Addresses & Phone Numbers

Richard Wang's Work Experience

EnFind, Inc.

Founder / CTO

October 2012 to March 2014

Sunnyvale, CA

Google

Summer Engineering Intern

May 2006 to September 2006

Mountain View, CA

Edimax USA

System Administrator and Technical Writer Summer Intern

May 2000 to September 2000

Taipei, Taiwan

Richard Wang's Education

Carnegie Mellon University

M.S., Computer Science, Language Technologies

2003 to 2005

Carnegie Mellon University

B.S., Computer Science

1999 to 2003

Carnegie Mellon University

Ph.D., Computer Science, Language Technologies

2005 to 2009

About Richard Wang's Current Company

EnFind, Inc.

I founded a company to deep-learn and deep-understand online articles by automatically identifying and distinguishing all people, places, and things mentioned, and to provide most relevant information to the publishers, advertisers, and users. We launched on many publishers' websites in 2013 and reached 1M+ daily users. By using our proprietary technology in NLP, AI, and knowledge graph,...

About Richard Wang

📖 Summary

Founder / CTO @ EnFind, Inc. I founded a company to deep-learn and deep-understand online articles by automatically identifying and distinguishing all people, places, and things mentioned, and to provide most relevant information to the publishers, advertisers, and users. We launched on many publishers' websites in 2013 and reached 1M+ daily users. By using our proprietary technology in NLP, AI, and knowledge graph, we achieved a super high mouse-hover rate of 20% (every 1 out of 5 users would mouse over our annotations) and an astonishing re-hover rate of 80% (every 4 out of 5 users who hovered once would hover another one). Please visit www.enfind.com for examples and demos. From October 2012 to March 2014 (1 year 6 months) Sunnyvale, CASummer Engineering Intern @ Google I developed a generic learning and extraction system that automatically produces complex and well-formulated regular expressions for extracting information learned from annotated training data. From May 2006 to September 2006 (5 months) Mountain View, CASystem Administrator and Technical Writer Summer Intern @ Edimax USA I installed and maintained intranet systems of Novell/Windows servers, hubs, and switches on LAN. I also translated real-time conversations, emails, web pages, user manuals between English and Chinese. From May 2000 to September 2000 (5 months) Taipei, TaiwanPrincipal AI Scientist @ Target Responsible for designing and implementing systems to solve various natural language-related problems at Target, using artificial intelligence, machine learning, information extraction/retrieval techniques.To improve online e-commerce search, I have implemented a CNN n-gram-based text classifier that can understand what category of merchandise the user is looking for. The classifier has both precision and recall above 90%, and has improved the search quality significantly. To increase productivity of business analysts, we have implemented a natural-language interface for databases, which allow analysts, who generally do not understand database query languages such as SQL, to be able to query databases and retrieve answers through only natural language. To help users answer questions regarding a specific product, we have implemented a CNN-based question answering system, which automatically finds the answer for the user and increases the conversion rate significantly in our experiment. To better understand customers complaints and feedback while shopping at Target, we have teamed up with the customer support team to automatically detect various aspects through the natural language text (some may be transcribed from voice). Some of these aspects include user's sentiment, issues being reported, and the Target store that was mentioned. Sunnyvale, CAStaff Architect and Senior Research Scientist @ Baidu USA I led a knowledge search team of more than 10 people. By building a state-of-the-art medical knowledge graph with 200+ million facts, combined with deep learning and NLP, our system was able to understand 90% of medical-related user-search queries with 95% accuracy. When applied to online search ads, we increased CTR of medical-related ads by 0.5% and RPM by 1.5% (absolute, not relative), which equates to an annual revenue of $15M USD for the company.I also led the same team on developing a virtual medical doctor -- a chatbot that understands users' medical condition and needs, using intent detection and entity recognition, interacts with users via multiple conversations by dialogue state tracking, and provides medical advice and diagnosis using Bayesian interference and random walk on our medical knowledge graph.I've also contributed to many other NLP-related tasks, such as developing a conversation dialogue framework for our home-brewed Alexa-like project, improving language model accuracy, and capitalizing words automatically for our speech recognition system. From March 2014 to August 2017 (3 years 6 months) Sunnyvale, CASoftware Engineer @ Google Google's Knowledge Graph, used widely in search and ads, contains more than 44 million topics and 2.4 billion facts, and is considered the largest knowledge-base with 99% accuracy. I lead a project that further increased its coverage and completeness by more than 5%, using unsupervised clustering and semi-supervised learning on semi-structured data from the web.I also worked on the Google Squared project, an automatic instance extraction system for categorical user queries (eg. car makers, US presidents, etc.). I implemented and integrated my thesis system SEAL into Google Squared and improved its overall precision and recall by more than 30%. From November 2009 to October 2012 (3 years) New York, NY & Mountain View, CAResearch Assistant on Machine Learning and Information Extraction @ Carnegie Mellon University I conducted research and implemented systems related to machine learning, natural language processing, and information extraction for the RADAR personal assistant project and the NELL (never-ending language learning) project at CMU. From July 2003 to November 2009 (6 years 5 months) Pittsburgh, PATeaching Assistant on Natural Language Processing @ Carnegie Mellon University I was the teaching assistant for the course "Advanced Natural Language Processing Seminar" at CMU. From January 2009 to May 2009 (5 months) Pittsburgh, PATeaching Assistant on Information Retrieval @ Carnegie Mellon University I graded student's assignments and exams, made exam questions, and held office hours for the course "Information Retrieval" at CMU. From January 2007 to May 2007 (5 months) Pittsburgh, PAMachine Translation Research Programmer @ Carnegie Mellon University I developed a system for the RADD machine translation project at CMU that crawls the web and automatically identifies and extracts parallel corpora from online web pages for training machine translation models. From January 2003 to July 2003 (7 months) Pittsburgh, PACarnegie Mellon University Web Programmer @ Carnegie Mellon University I designed and programmed part of the official School of Computer Science website at http://www.cs.cmu.edu. From August 2002 to May 2003 (10 months) Pittsburgh, PAMerck Computational Biology Summer Scholar @ Carnegie Mellon University I developed a system that automatically extracts cell/protein names from image captions in biological journal articles, to use as features for training a cell/protein image classifier. From May 2002 to September 2002 (5 months) Pittsburgh, PA


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Frequently Asked Questions about Richard Wang

What company does Richard Wang work for?

Richard Wang works for EnFind, Inc.


What is Richard Wang's role at EnFind, Inc.?

Richard Wang is Founder / CTO


What is Richard Wang's personal email address?

Richard Wang's personal email address is r****[email protected]


What is Richard Wang's business email address?

Richard Wang's business email address is r****[email protected]


What is Richard Wang's Phone Number?

Richard Wang's phone (213) ***-*557


What industry does Richard Wang work in?

Richard Wang works in the Internet industry.


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Richard Wang's Personality Type

Extraversion (E), Intuition (N), Feeling (F), Judging (J)

Average Tenure

1 year(s), 7 month(s)

Richard Wang's Willingness to Change Jobs

Unlikely

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