Xiaopei Wu Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

Last publication 2025 Last refreshed 2026-05-16

faculty

14 h-index 32 pubs 1,070 cited

Biography and Research Information

OverviewAI-generated summary

Xiaopei Wu's research focuses on advanced computational methods and their applications, particularly in the areas of 3D object detection and stereoselective synthesis. Wu has published work on techniques for improving the accuracy and quality of 3D detection using depth completion and semantic graph representations, including the Graph R-CNN and DID-M3D models. Additionally, Wu investigates the stereoselective synthesis of complex carbohydrate structures, such as 2,3-diamino-2,3-dideoxyglycosides and O-antigens, employing conformation-constrained nitroglycals as donors and bifunctional thiourea catalysts. Wu's work also extends to temporal aggregation networks for LiDAR semantic segmentation. With an h-index of 14 and over 1,000 citations, Wu's scholarship demonstrates a consistent contribution to computational and synthetic chemistry research.

Metrics

  • h-index: 14
  • Publications: 32
  • Citations: 1,070

Selected Publications

  • An Efficient CNN Network Utilizing Temporal and Spatial Attention Mechanisms for SSVEP Frequency Recognition (2025)

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Collaboration Network

62 Collaborators 17 Institutions 2 Countries

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