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- Dr. Hao Yang joined Visa Research as VP, AI Research in September 2015, where he is leading a team in advanced machine learning research to tackle challenging problems in the payment industry and develop the world’s best commerce intelligence engine. Prior to joining Visa, Hao was a Software Engineer at Google Research, responsible for the research and development of a diverse set of machine learning technologies including social recommendation, knowledge discovery and semantic query understanding. Before joining Google, Hao was the Principal Researcher at Nokia Research Center, leading a team of research scientists and engineers driving innovations in data mining, machine learning and real-time data processing and developing intelligent mobile services. Hao also worked as a Research Staff Member at IBM T. J. Watson Research Center, focusing on distributed system technologies including stream processing, messaging and publish/subscribe systems. Hao received his Ph.D. in Computer Science from the University of California, Los Angeles in 2006. He received his M.S. in Pattern Recognition and Artificial Intelligence from Institute of Automation, Chinese Academy of Sciences in 2001, and B.S. in Automatic Control from University of Science and Technology of China in 1998. His research interests are in data analytics, machine learning, deep learning and distributed systems. He has published over 60 papers in top international conferences and journals, with 6800 citations to date, and he holds more than thirty patents around the world. He is the recipient of numerous awards, including the Best Paper Awards from ICPP'08, PacificVis'18 and RecSys'22. He is currently the Chair of the Steering Committee of the IEEE Transactions on Big Data.
- Head of AI at Splunk (We are hiring!)
Hao Yang Education
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FAQ About Hao Yang
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Hao Yang is located at San Jose, California, United States
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Hao Yang is a Dr. Hao Yang joined Visa Research as VP, AI Research in September 2015, where he is leading a team in advanced machine learning research to tackle challenging problems in the payment industry and develop the world’s best commerce intelligence engine. Prior to joining Visa, Hao was a Software Engineer at Google Research, responsible for the research and development of a diverse set of machine learning technologies including social recommendation, knowledge discovery and semantic query understanding. Before joining Google, Hao was the Principal Researcher at Nokia Research Center, leading a team of research scientists and engineers driving innovations in data mining, machine learning and real-time data processing and developing intelligent mobile services. Hao also worked as a Research Staff Member at IBM T. J. Watson Research Center, focusing on distributed system technologies including stream processing, messaging and publish/subscribe systems. Hao received his Ph.D. in Computer Science from the University of California, Los Angeles in 2006. He received his M.S. in Pattern Recognition and Artificial Intelligence from Institute of Automation, Chinese Academy of Sciences in 2001, and B.S. in Automatic Control from University of Science and Technology of China in 1998. His research interests are in data analytics, machine learning, deep learning and distributed systems. He has published over 60 papers in top international conferences and journals, with 6800 citations to date, and he holds more than thirty patents around the world. He is the recipient of numerous awards, including the Best Paper Awards from ICPP'08, PacificVis'18 and RecSys'22. He is currently the Chair of the Steering Committee of the IEEE Transactions on Big Data. Splunk
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Hao Yang currently works in the Splunk
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Hao Yang specializes in Dr. Hao Yang joined Visa Research as VP, AI Research in September 2015, where he is leading a team in advanced machine learning research to tackle challenging problems in the payment industry and develop the world’s best commerce intelligence engine. Prior to joining Visa, Hao was a Software Engineer at Google Research, responsible for the research and development of a diverse set of machine learning technologies including social recommendation, knowledge discovery and semantic query understanding. Before joining Google, Hao was the Principal Researcher at Nokia Research Center, leading a team of research scientists and engineers driving innovations in data mining, machine learning and real-time data processing and developing intelligent mobile services. Hao also worked as a Research Staff Member at IBM T. J. Watson Research Center, focusing on distributed system technologies including stream processing, messaging and publish/subscribe systems. Hao received his Ph.D. in Computer Science from the University of California, Los Angeles in 2006. He received his M.S. in Pattern Recognition and Artificial Intelligence from Institute of Automation, Chinese Academy of Sciences in 2001, and B.S. in Automatic Control from University of Science and Technology of China in 1998. His research interests are in data analytics, machine learning, deep learning and distributed systems. He has published over 60 papers in top international conferences and journals, with 6800 citations to date, and he holds more than thirty patents around the world. He is the recipient of numerous awards, including the Best Paper Awards from ICPP'08, PacificVis'18 and RecSys'22. He is currently the Chair of the Steering Committee of the IEEE Transactions on Big Data.
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Hao Yang speaks the following languages: No languages available.
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Hao Yang has prior experience in the following industries: Visa , Google , Nokia , Ibm
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Hao Yang has the following professional experience: Splunk , Visa , Google , Nokia , Ibm .
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You can view Hao Yang’s LinkedIn profile at LinkedIn URL.
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Hao Yang’s work email addresses are [email protected] .
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Hao Yang works at Splunk