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Qiang Liu

4 papers hereh-index 00 citations0 works total

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

author position
  • middle author4

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

fields
  • cs.IR3
  • cs.CL1
same name
  • Qiang Liu — 100 papers, h 56
  • Qiang Liu — 16 papers, h 14
  • Qiang Liu — 16 papers, h 15
  • Qiang Liu — 13 papers, h 6
  • Qiang Liu — 11 papers, h 7
  • Qiang Liu — 9 papers, h 19

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

most citedStealthy Attack on Large Language Model based Recommendation

2 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IR2024

CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation

Yuting Liu, Jinghao Zhang, Yizhou Dang +5

Involving collaborative information in Large Language Models (LLMs) is a promising technique for adapting LLMs for recommendation. Existing methods achieve this by concatenating co…

cs.IR2024

Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation

Yuting Liu, Yizhou Dang, Yuliang Liang +4

Recently, sign-aware graph recommendation has drawn much attention as it will learn users' negative preferences besides positive ones from both positive and negative interactions (…

cs.CL2024★ 2 cited

Stealthy Attack on Large Language Model based Recommendation

Jinghao Zhang, Yuting Liu, Qiang Liu +3

Recently, the powerful large language models (LLMs) have been instrumental in propelling the progress of recommender systems (RS). However, while these systems have flourished, the…

cs.IR2023★ 2 cited

ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation

Yuting Liu, Enneng Yang, Yizhou Dang +5

Multimodal recommendation aims to model user and item representations comprehensively with the involvement of multimedia content for effective recommendations. Existing research ha…

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