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Fan Li

4 papers hereh-index 368 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IR3
  • cs.LG1
same name
  • Fan Li — 39 papers, h 34
  • Fan Li — 21 papers, h 5
  • Fan Li — 18 papers, h 4
  • Fan Li — 15 papers, h 17
  • Fan Li — 13 papers, h 5
  • Fan Li — 12 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedDistributed Equivalent Substitution Training for Large-Scale Recommender Systems

9 citations · 9 across the 3 of their papers we have counts for

collaborators

4 papers

cs.IR2026

From Bootstrapping to Sequence Modeling: A Unified Generative Framework for Personalized Landing-Page Modeling

Fan Li, Chang Meng, Jiaqi Fu +6

Modern online platforms increasingly adopt multi-page architectures to accommodate diverse user needs. On these platforms, page navigation (the process of directing users to specif…

cs.IR2026

RankEvolve: Automating the Discovery of Retrieval Algorithms via LLM-Driven Evolution

Jinming Nian, Fangchen Li, Dae Hoon Park +1

Retrieval algorithms like BM25 and query likelihood with Dirichlet smoothing remain strong and efficient first-stage rankers, yet improvements have mostly relied on parameter tunin…

cs.IR2025

KLAN: Kuaishou Landing-page Adaptive Navigator

Fan Li, Chang Meng, Jiaqi Fu +5

Modern online platforms configure multiple pages to accommodate diverse user needs. This multi-page architecture inherently establishes a two-stage interaction paradigm between the…

cs.LG2019★ 9 cited

Distributed Equivalent Substitution Training for Large-Scale Recommender Systems

Haidong Rong, Yangzihao Wang, Feihu Zhou +8

We present Distributed Equivalent Substitution (DES) training, a novel distributed training framework for large-scale recommender systems with dynamic sparse features. DES introduc…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.