Roger Zhe Li

Senior Research Scientist · Huawei Ireland Research Center

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Dublin, Ireland

Rijswijk, the Netherlands

I am a Senior Research Scientist at Huawei Ireland Research Center, where I also serve as a tech lead for recommendation and advertising research. My work sits where information retrieval meets large-scale industrial systems. Lately that means two things. One is semantic IDs: how to construct item identifiers that carry meaning, and how to consume them as features in retrieval-based ranking systems. The other is privacy-aware ad recommendation: keeping models accurate when personalized features are limited or must stay on the device.

Before Huawei, I spent several years as a Senior Data Scientist and Product Owner at adidas in Amsterdam. There I led computer-vision work on product representations and generative AI, and built recommendation and supply-chain solutions. I received my PhD in Computer Science from TU Delft, supervised by Julián Urbano and Alan Hanjalic. My thesis was on metric optimization and mainstream bias in recommender systems. Before that, I studied at Tianjin University (M.Sc., cum laude) and Zhejiang University (B.Eng.).

Research interests

Recommender systems

  • Semantic ID construction and item tokenization
  • Semantic ID features in retrieval and ranking
  • Cross-domain, multimodal and cold-start recommendation

Computational advertising

  • Ranking and CTR/CVR prediction under privacy and feature constraints
  • Cloud–device collaborative modeling

Evaluation and fairness

  • Evaluation methodology and metrics for recommender systems
  • Fairness and bias in recommendation

news

Nov, 2026 Presenting our hands-on semantic ID tutorial at CIKM 2026 in Rome.
Oct, 2026 Co-organizing IDEA@WWW 2027, a workshop on item identifiers, in Dublin.
Sep, 2026 From Raw IDs to Semantic Planning accepted at the EARL workshop at CIKM 2026.
Aug, 2026 PriCoRec, on privacy-aware ad recommendation, accepted at RecSys 2026.
Jul, 2026 RAMP, on robust ad recommendation without personalized features, accepted at ICTIR 2026.
Apr, 2026 Invited speaker at the ECIR 2026 Industry Day in Delft.
Nov, 2023 Defended my PhD thesis at TU Delft. PhDone!