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Jie Zhang

4 papers here

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

author position
  • middle author3
  • last author1

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

fields
  • cs.IR2
  • cs.AI1
  • cs.CV1
ORCID 0000-0001-6331-4005
same name
  • Jie Zhang — 29 papers
  • Jie Zhang — 18 papers
  • Jie Zhang — 14 papers, h 22
  • Jie Zhang — 14 papers, h 30
  • Jie Zhang — 13 papers
  • Jie Zhang — 12 papers, h 14

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 citedLarge Language Model with Graph Convolution for Recommendation

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

collaborators

4 papers

cs.IR2024

Leveraging Knowledge Graph Embedding for Effective Conversational Recommendation

Yunwen Xia, Hui Fang, Jie Zhang +1

Conversational recommender system (CRS), which combines the techniques of dialogue system and recommender system, has obtained increasing interest recently. In contrast to traditio…

cs.AI2024★ 2 cited

Large Language Model with Graph Convolution for Recommendation

Yingpeng Du, Ziyan Wang, Zhu Sun +6

In recent years, efforts have been made to use text information for better user profiling and item characterization in recommendations. However, text information can sometimes be o…

cs.IR2023★ 1 cited

Enhancing Job Recommendation through LLM-based Generative Adversarial Networks

Yingpeng Du, Di Luo, Rui Yan +4

Recommending suitable jobs to users is a critical task in online recruitment platforms, as it can enhance users' satisfaction and the platforms' profitability. While existing job r…

cs.CV2023★ 1 cited

CCLAP: Controllable Chinese Landscape Painting Generation via Latent Diffusion Model

Zhongqi Wang, Jie Zhang, Zhilong Ji +2

With the development of deep generative models, recent years have seen great success of Chinese landscape painting generation. However, few works focus on controllable Chinese land…

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