Google Research

Heng-Tze Cheng


Heng-Tze Cheng is a Technical Lead Manager and Senior Staff Software Engineer on the Google Brain team, part of Google Research & AI. Heng-Tze currently leads a research team focusing on Neural Sequence Modeling research for Task-oriented Dialogues, Personalized Semantic Search, and Recommender Systems productionized across Google, such as Google Duplex Assistant, YouTube, and more. Heng-Tze also founded and led the Wide & Deep Learning project in TensorFlow, and has worked on large-scale machine learning platforms that are widely used for retrieval, ranking, and recommender systems. Prior to joining Google in 2014, Heng-Tze received his Ph.D. from Carnegie Mellon University in 2013 and B.S. from National Taiwan University in 2008. His research interests range across machine learning, information retrieval, user behavior modeling, and human activity recognition.

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