Jie Zhou

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Senior Algorithm Engineer

Southern Arkansas University

1 h-index 1 pubs 1 cited

Research Areas

Biomedical Subjects

Links

ORCID

OverviewAI-generated summary

Jie Zhou's research focuses on the application of deep learning and machine learning techniques to various signal processing and data analysis challenges. His recent work includes developing novel multi-task learning models for hierarchical information extraction and recommender systems, such as HiNet and DualGCN. Zhou has also investigated end-to-end Mandarin speech reconstruction using deep learning and ultrasound tongue imaging. Earlier research involved network multisensor decision and estimation fusion, and theoretical studies on graph decompositions for data storage systems. His publications span areas including natural language processing, speech analysis, and recommender systems, with a recent publication in 2024 on speech reconstruction.

Metrics

h-index: 1
Publications: 1
Citations: 1

Positions

Kuaishou Technology 2024–present

ORCID
Senior Algorithm Engineer 2021–present

Meituan Inc Catering Platform ORCID
Senior Algorithm Engineer publications 2025

Southern Arkansas University ORCID
Algorithm engineer 2019–2021

Xiaomi Inc Search and Recommendation Department ORCID
Algorithm engineer 2017–2019

JD Inc Search and recommend business groups ORCID

Selected Publications

Distribution-Aware Outlier Detection in High Dimensions: A Scalable Parametric Approach (2025)

Mathematics 1 citation DOI OpenAlex
Distribution-Aware Outlier Detection in High Dimensions: A Scalable Parametric Approach (2025)

Preprints.org DOI OpenAlex