Derek Zhiyuan Cheng

Derek Zhiyuan Cheng

Derek is a principal software engineer and engineering director at Google DeepMind, where he leads a team of ML researchers and engineers tackling problem-driven research and product integration. Recent interests include 1. efficient data representation learning; 2. model and data efficiency for RecSys & LLMs; and 3. user and ads modeling with LLMs. Derek has 40+ research publications in the field, and has contributed to over 100 launches in Google Ads, Play, Search and YouTube. Prior to joining Google in 2013, he finished his Ph.D. in Texas A&M University with a focus on geo-social data mining. Derek is also a proud Pinterest alumnus that really enjoyed building Pinterest's Homefeed with the homies.
Authored Publications
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    Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
    Ben Coleman
    Ruoxi Wang
    Lichan Hong
    Advances in Neural Information Processing Systems (2023), pp. 56234-56255
    Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations
    Ji Yang
    Lichan Hong
    Yang Li
    Simon Wang
    Taibai Xu
    WWW '20: Companion Proceedings of the Web Conference 2020April 2020 (2020)
    Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations
    Ji Yang
    Lichan Hong
    Lukasz Heldt
    Aditee Ajit Kumthekar
    Zhe Zhao
    Li Wei
    RecSys 2019
    Beyond Globally Optimal: Focused Learning for Improved Recommendations
    Alex Beutel
    Hubert Pham
    John Anderson
    Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017
    Improving User Topic Interest Profiles by Behavior Factorization
    Zhe Zhao
    Lichan Hong
    Proceedings of the 24th International Conference on World Wide Web, International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland (2015), pp. 1406-1416