Xiaopei Wu Data-verified
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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
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An Efficient CNN Network Utilizing Temporal and Spatial Attention Mechanisms for SSVEP Frequency Recognition (2025)
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- Stereoselective glycosylation with conformation-constrained 2-Nitroglycals as donors and bifunctional thiourea as catalyst
- Stereoselective Synthesis of 2,3‐Diamino‐2,3‐dideoxyglycosides from 3‐<i>O</i>‐Acetyl‐2‐nitroglycals
- Stereoselective Synthesis and Immunological Evaluation of Common O‐antigen of <i>P. mirabilis</i><scp>OE</scp> and <i>P. vulgaris</i><scp>TG103</scp>
- Chemical Synthesis and Antigenic Evaluation of Oligosaccharides of <i>Bordetella hinzii</i> O-Antigen Containing Unique Amidated 2,3-Diacetamido-2,3-dideoxy-alduronic Acids
- Stereoselective glycosylation with conformation-constrained 2-Nitroglycals as donors and bifunctional thiourea as catalyst
- Stereoselective Synthesis of 2,3‐Diamino‐2,3‐dideoxyglycosides from 3‐<i>O</i>‐Acetyl‐2‐nitroglycals
- Stereoselective Synthesis and Immunological Evaluation of Common O‐antigen of <i>P. mirabilis</i><scp>OE</scp> and <i>P. vulgaris</i><scp>TG103</scp>
- Chemical Synthesis and Antigenic Evaluation of Oligosaccharides of <i>Bordetella hinzii</i> O-Antigen Containing Unique Amidated 2,3-Diacetamido-2,3-dideoxy-alduronic Acids
- Stereoselective glycosylation with conformation-constrained 2-Nitroglycals as donors and bifunctional thiourea as catalyst
- Stereoselective Synthesis of 2,3‐Diamino‐2,3‐dideoxyglycosides from 3‐<i>O</i>‐Acetyl‐2‐nitroglycals
- Stereoselective Synthesis and Immunological Evaluation of Common O‐antigen of <i>P. mirabilis</i><scp>OE</scp> and <i>P. vulgaris</i><scp>TG103</scp>
- Stereoselective glycosylation with conformation-constrained 2-Nitroglycals as donors and bifunctional thiourea as catalyst
- Stereoselective Synthesis of 2,3‐Diamino‐2,3‐dideoxyglycosides from 3‐<i>O</i>‐Acetyl‐2‐nitroglycals
- Stereoselective Synthesis and Immunological Evaluation of Common O‐antigen of <i>P. mirabilis</i><scp>OE</scp> and <i>P. vulgaris</i><scp>TG103</scp>
- Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph
- DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection
- Learning Occupancy for Monocular 3D Object Detection
- Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion
- Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph
- Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion
- DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection
- Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion
- TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
- Stereoselective Synthesis of 2,3‐Diamino‐2,3‐dideoxyglycosides from 3‐<i>O</i>‐Acetyl‐2‐nitroglycals
- Chemical Synthesis and Antigenic Evaluation of Oligosaccharides of <i>Bordetella hinzii</i> O-Antigen Containing Unique Amidated 2,3-Diacetamido-2,3-dideoxy-alduronic Acids
- Stereoselective Synthesis of 2,3‐Diamino‐2,3‐dideoxyglycosides from 3‐<i>O</i>‐Acetyl‐2‐nitroglycals
- Stereoselective Synthesis and Immunological Evaluation of Common O‐antigen of <i>P. mirabilis</i><scp>OE</scp> and <i>P. vulgaris</i><scp>TG103</scp>
- Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph
- Learning Occupancy for Monocular 3D Object Detection
- Analysis of SSVEP frequency-spatial characteristics based on EhythmNet and its application in identity recognition
- An Efficient CNN Network Utilizing Temporal and Spatial Attention Mechanisms for SSVEP Frequency Recognition
- Learning Occupancy for Monocular 3D Object Detection
- TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
- Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion
- Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion
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