Andy Dong

Andy Dong

Applied Scientist

About Me

I am an Applied Scientist and Tech Lead at Amazon, specializing in Retrieval, Ranking, and Personalization. My research interest lies at Natural Language Processing, Recommender Systems, and Data Mining, with a proven track record in developing end-to-end machine learning solutions that transform complex data insights into high-impact systems for Ads, Search, and Recommendations.

With extensive experience in managing large-scale industrial ML products, I excel in architecting and implementing ML solutions and MLOps infrastructure. My technical prowess encompasses the complete ML lifecycle, from offline data processing and model training to online model serving and platform infrastructure development.

Experience

News

Publications

  1. Graph Collaborative Signals Denoising and Augmentation for Recommendation
    SIGIR
    Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S Yu
    Proceedings of the 46nd International ACM SIGIR Conference (SIGIR), 2023.
  2. Exploring information retrieval for personalized teaching support
    HCII
    Nanjie Rao, Sharon Lynn Chu, Zeyuan Jing, Huan Kuang, Yunjie Tang, Zhang Dong
    International Conference on Human-Computer Interaction (HCII), 2022.

Services

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