基本信息
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Bio
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.
Research Interests
Papers共 50 篇Author StatisticsCo-AuthorSimilar Experts
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ICLR 2024 (2024)
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CoRR (2024)
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Sidharth Mudgal, Jong Lee,Harish Ganapathy,YaGuang Li, Tao Wang, Yanping Huang, Zhifeng Chen,Heng-Tze Cheng, Michael Collins,Trevor Strohman, Jilin Chen,Alex Beutel,
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arxiv(2024)
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arXiv (Cornell University) (2023)
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CoRR (2022)
International Conference on Machine Learningpp.8678-8690, (2022)
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