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Ziwei Zhao

8 papers hereh-index 6126 citations14 works total

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

author position
  • first author1
  • middle author7

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.IR3
  • cs.AI1
  • cs.CL1
  • cs.LG1
  • cs.SE1
  • cs.SI1
same name
  • Ziwei Zhao — 5 papers, h 3
  • Ziwei Zhao — 4 papers, h 4
  • Ziwei Zhao — 3 papers, h 0
  • Ziwei Zhao — 2 papers, h 7
  • Ziwei Zhao — 1 paper, h 3
  • Ziwei Zhao — 1 paper, h 3

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
20242026
most citedKnowledge Graph Pruning for Recommendation

1 citations · 1 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.SI2024

Continuous Dynamic Modeling via Neural ODEs for Popularity Trajectory Prediction

Songbo Yang, Ziwei Zhao, Zihang Chen +3

Popularity prediction for information cascades has significant applications across various domains, including opinion monitoring and advertising recommendations. While most existin…

cs.IR2024

When Box Meets Graph Neural Network in Tag-aware Recommendation

Fake Lin, Ziwei Zhao, Xi Zhu +6

Last year has witnessed the re-flourishment of tag-aware recommender systems supported by the LLM-enriched tags. Unfortunately, though large efforts have been made, current solutio…

cs.IR2024

DynLLM: When Large Language Models Meet Dynamic Graph Recommendation

Ziwei Zhao, Fake Lin, Xi Zhu +6

Last year has witnessed the considerable interest of Large Language Models (LLMs) for their potential applications in recommender systems, which may mitigate the persistent issue o…

cs.IR2024★ 1 cited

Knowledge Graph Pruning for Recommendation

Fake Lin, Xi Zhu, Ziwei Zhao +6

Recent years have witnessed the prosperity of knowledge graph based recommendation system (KGRS), which enriches the representation of users, items, and entities by structural know…

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