About me

There should be a quote.… –unknown

I am now an applied researcher at eBay inc., working on developing and deploying scalable and extensible recommendation algorithms. Previously, I worked as a senior algorithm engineer in the search and recommendation team at Alibaba inc., where I developed web-scale search & recommendation algorithms and published several papers in top-tier conferences. In 2019, I obtained my PH.D. in computer Science at Zhejiang University. I am also very fortunate to work with Kun Zhang (CMU), who is knowledgeable, visionary, and inspiring. He helps to shape my thinking toward connections between causality and machine learning.

I have a broad interest in machine learning and its efficient practice in reality. Especially, I am passionate about information retrieval on Internet (e.g., Search, Recommendation, and Ads) since it has a comprehensive and profound influence on everyone’s life. I have hands-on experiences both in industry and academia, which brings me a better understanding of their knowing-doing gap, tradeoffs between system and algorithm, and shifting of data distribution. Current the paradigm of information retrieval (e.g., training, metrics, feedback circle, etc.) are far from perfection, and I am working with passion for better solutions (more unbiased, efficient and social good). Drop me an email if you wanna get in touch for discussion or any kind of cooperation.

Research Interests

  • Applied machine learning
    • Information retrieval (Search, Recommendation, Ads)
    • Applications of deep learning
  • Large-scale machine learning
    • Model compressing & Auto ML
    • Continual learning & transfer learning
    • System & algorithm co-design
  • Causal inference
    • Causality-based & Unbiased learning

News

  1. 2021.07 My personal website is set up :D