Hebei University | China
Mr. Yingchun Niu is a researcher in intelligent information processing with a doctoral background in Control Science and Engineering and strong expertise in artificial intelligence and computer vision. He holds a Ph.D., M.S., and B.S. in engineering and computing-related disciplines and has professional experience as a researcher and faculty member in cyberspace security and computer science. His research interests include point cloud semantic segmentation, uncertainty-aware learning, big data analytics, and visual understanding. His research skills cover deep learning, weakly supervised learning, 3D vision, model uncertainty estimation, and SCI journal publishing, with scholarly recognition demonstrated through high-impact international publications contributing to trustworthy and efficient intelligent perception systems.
Citation Metrics (Scopus)
Citations
Documents
h-index
View Scopus Profile
Featured Publications
Weakly Supervised Point Cloud Semantic Segmentation with the Fusion of Heterogeneous Network Features
– Image and Vision Computing, 2024
Beyond Accuracy: More Trustworthy Weakly Supervised Point Cloud Semantic Segmentation with Primary–Auxiliary Structure
– Computers & Electrical Engineering, 2024
Weakly Supervised Point Cloud Semantic Segmentation Based on Scene Consistency
– Applied Intelligence, 2024
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-Aware Semantic Segmentation in Point Clouds
– IEEE Transactions on Geoscience and Remote Sensing, 2023
Beyond-Skeleton: Zero-Shot Skeleton Action Recognition Enhanced by Supplementary RGB Visual Information
– Expert Systems with Applications, 2025