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Shaomin Wu

4 papers here

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

author position
  • sole author1
  • middle author1
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IR1
  • cs.LG1
  • stat.AP1
  • stat.ME1
ORCID 0000-0001-9786-3213
same name
  • Shaomin Wu — 2 papers

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
20222025
most citedFederated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IR2025

IU4Rec: Interest Unit-Based Product Organization and Recommendation for E-Commerce Platform

Wenhao Wu, Xiaojie Li, Lin Wang +8

Most recommendation systems typically follow a product-based paradigm utilizing user-product interactions to identify the most engaging items for users. However, this product-based…

cs.LG2024★ 2 cited

Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction

Shuai Zhong, Zengtong Tang, Di Wu

In applications related to big data and service computing, dynamic connections tend to be encountered, especially the dynamic data of user-perspective quality of service (QoS) in W…

stat.ME2024

Kernel-based multi-marker tests of association based on the accelerated failure time model

Chenxi Li, Di Wu, Qing Lu

Kernel-based multi-marker tests for survival outcomes use primarily the Cox model to adjust for covariates. The proportional hazards assumption made by the Cox model could be unrea…

stat.AP2022★ 1 cited

Lower and upper bounds of the superposition of renewal processes and extensions

Shaomin Wu

Consider a system consisting of multiple sockets into each of which a component is inserted. If a component fails, it is replaced immediately and system operation resumes. Then the…

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