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researcher

Yujia Hu

4 papers hereh-index 5295 citations5 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.DB2
  • cs.IR2
same name
  • Yujia Hu — 7 papers, h 3
  • Yujia Hu — 5 papers, h 3
  • Yujia Hu — 4 papers, h 2
  • Yujia Hu — 2 papers, h 1
  • Yujia Hu — 1 paper, h 2
  • Yujia Hu — 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
20222024
most citedSelf-Guided Learning to Denoise for Robust Recommendation

78 citations · 180 across the 4 of their papers we have counts for

collaborators

4 papers

cs.DB2024

Real-Time Trajectory Synthesis with Local Differential Privacy

Yujia Hu, Yuntao Du, Zhikun Zhang +4

Trajectory streams are being generated from location-aware devices, such as smartphones and in-vehicle navigation systems. Due to the sensitive nature of the location data, directl…

cs.IR2023★ 35 cited

Knowledge-refined Denoising Network for Robust Recommendation

Xinjun Zhu, Yuntao Du, Yuren Mao +3

Knowledge graph (KG), which contains rich side information, becomes an essential part to boost the recommendation performance and improve its explainability. However, existing know…

cs.DB2023★ 67 cited

LDPTrace: Locally Differentially Private Trajectory Synthesis

Yuntao Du, Yujia Hu, Zhikun Zhang +4

Trajectory data has the potential to greatly benefit a wide-range of real-world applications, such as tracking the spread of the disease through people's movement patterns and prov…

cs.IR2022★ 78 cited

Self-Guided Learning to Denoise for Robust Recommendation

Yunjun Gao, Yuntao Du, Yujia Hu +4

The ubiquity of implicit feedback makes them the default choice to build modern recommender systems. Generally speaking, observed interactions are considered as positive samples, w…

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