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Wenqi Fan

The Hong Kong Polytechnic University

32 papers hereh-index 295.9k citations60 works total

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

author position
  • first author10
  • middle author20

Across the 30 of 32 papers where every author was matched, so the position is known.

fields
  • cs.IR17
  • cs.LG7
  • cs.CL4
  • cs.SI2
  • cs.AI1
  • cs.MM1
affiliations
  • The Hong Kong Polytechnic University
same name
  • Wenqi Fan — 35 papers, h 13
  • Wenqi Fan — 15 papers, h 3
  • Wenqi Fan — 11 papers, h 7
  • Wenqi Fan — 10 papers, h 8
  • Wenqi Fan — 4 papers, h 1
  • Wenqi Fan — 4 papers, h 1

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
20192024
most citedRecommender Systems in the Era of Large Language Models (LLMs)

422 citations · 815 across the 32 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.IR2024★ 86 cited

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems

Langming Liu, Xiangyu Zhao, Chi Zhang +7

Transformer models have achieved remarkable success in sequential recommender systems (SRSs). However, computing the attention matrix in traditional dot-product attention mechanism…

cs.MM2024

FashionReGen: LLM-Empowered Fashion Report Generation

Yujuan Ding, Yunshan Ma, Wenqi Fan +3

Fashion analysis refers to the process of examining and evaluating trends, styles, and elements within the fashion industry to understand and interpret its current state, generatin…

cs.CL2024★ 3 cited

Large Language Models are In-Context Molecule Learners

Jiatong Li, Wei Liu, Zhihao Ding +3

Large Language Models (LLMs) have demonstrated exceptional performance in biochemical tasks, especially the molecule caption translation task, which aims to bridge the gap between…

cs.IR2024

Linear-Time Graph Neural Networks for Scalable Recommendations

Jiahao Zhang, Rui Xue, Wenqi Fan +4

In an era of information explosion, recommender systems are vital tools to deliver personalized recommendations for users. The key of recommender systems is to forecast users' futu…

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