Yingchun Niu l Data Processing | Research Excellence Award

Mr. Yingchun Niu l Data Processing | Research Excellence Award

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.

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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

Xintong Wang | Best Researcher Award | Cyberspace Security

 Xintong Wang | Huaneng Nanjing Jinling Power Generation Co., Ltd - Cyberspace Security

Ms Xintong Wang : Cyberspace Security

Professional profile:

Early Academic Pursuits:

Xintong Wang began her academic journey with a focus on information technology and cybersecurity. She pursued studies in Nanjing, Jiangsu, China, likely at Nanjing University of Posts and Telecommunications given the affiliation mentioned in the research publication.

Professional Endeavors:

Xintong Wang gained practical experience in the field through her work at Huaneng Nanjing Jinling Power Generation Co., Ltd in the Production Department. This experience likely provided her with insights into industrial operations and potentially influenced her research direction.

Contributions and Research Focus:

Xintong Wang has made significant contributions to the field of network security and traffic management. Her research publications demonstrate expertise in topics such as traffic matrix prediction, lightweight network traffic anomaly detection, and vulnerability detection methods. The use of advanced techniques like Spatial Temporal Residual Graph Convolutional Network and DistilBert-LSTM reflects a commitment to cutting-edge methodologies.

Accolades and Recognition:

While specific accolades and recognition are not mentioned in the provided information, the presentation of research papers at conferences like the 2023 Chinese Control and Decision Conference and the publication in the journal Computers & Security indicate a level of acknowledgment within the academic and research community.

Impact and Influence:

Xintong Wang's work in traffic prediction, anomaly detection, and vulnerability detection has the potential to impact the fields of cybersecurity and network management. These contributions address critical challenges in ensuring the security and reliability of digital infrastructure, with applications likely extending to various industries.

Legacy and Future Contributions:

As of the available information, Xintong Wang's legacy lies in her research publications and practical experience. Her work sets the stage for future contributions in the evolving landscape of cybersecurity, where the integration of advanced technologies and novel approaches is essential. The legacy could potentially include advancements in network security methodologies, influence on industry practices, and continued academic contributions.

In summary, Xintong Wang's academic and professional journey reflects a commitment to advancing the field of cybersecurity and network management. Her research contributions and practical experience position her as a notable figure in the intersection of academia and industry. The impact of her work on the broader cybersecurity landscape is evident, with potential future contributions anticipated.

Notable Publications: