- Ā Associate Professor at Liaoning Technical University, China
Bio Summary
Haicheng Qu is an Associate Professor at the School of Software, Liaoning Technical University, specializing in Information and Communications Engineering. He holds a Ph.D. in Information and Communications Engineering from Harbin Institute of Technology, an MS in Computer Application Technology from Liaoning Technical University, and a BS in Computer Science and Technology from Qingdao University of Technology. With expertise in High-Performance Computing, Machine Learning, Image Processing, and Target Detection, Haicheng Qu has made significant contributions to the field through his research, publications, and academic leadership.
Education
Haicheng Qu pursued his academic journey with dedication and excellence. He obtained his Ph.D. in Information and Communications Engineering from Harbin Institute of Technology, mastering advanced concepts in his field. Prior to this, he earned an MS in Computer Application Technology from Liaoning Technical University and a BS in Computer Science and Technology from Qingdao University of Technology, laying the foundation for his future research endeavors.
Research Focus
Haicheng Qu’s research interests encompass a wide array of topics, reflecting his multidisciplinary approach to problem-solving. His primary focus areas include:
- High-Performance Computing Based on GPU
- Target Detection and Identification
- Machine Learning
- Image Processing
Through his research, Haicheng Qu aims to address real-world challenges and contribute to the advancement of knowledge in these domains.
Professional Journey
Haicheng Qu has had a fruitful professional journey marked by continuous growth and achievement. Starting as an Assistant at the School of Software, Liaoning Technical University, he progressed to the position of Lecturer before assuming his current role as Associate Professor. Alongside his teaching responsibilities, he serves as the Dean of the Department of Software Engineering and contributes as a reviewer for esteemed journals in his field.
Honors & Awards
Throughout his career, Haicheng Qu has received recognition for his outstanding contributions to research and academia. While specific honors and awards may vary, his dedication and excellence have been acknowledged through various accolades, affirming his status as a respected scholar in his field.
Publications Top Noted & Contributions
Haicheng Qu has made significant contributions to the academic community through his research publications. His work spans journal papers and conference papers, covering a diverse range of topics such as image shadow removal algorithms, ships detection in SAR images, anomaly detection for industrial control networks, and more. His publications have been well-received and cited, contributing to the advancement of knowledge in his areas of expertise.
Image shadow removal algorithm guided by progressive attention mechanism
- Published in Signal, Image and Video Processing in July 2023.
- DOI: 10.1007/s11760-022-02473-z
- Contributors: Haicheng Qu, Chang Tong, Wanjun Liu
- This article presents an innovative approach to removing shadows from images using a progressive attention mechanism, aimed at enhancing image quality and clarity.
Pruning Networks Using Filters Similarity Stability
- Presented as a conference paper on January 31, 2023.
- DOI: 10.1145/3584871.3584908
- Contributors: Haicheng Qu, Xuecong Zhang
- This paper discusses techniques for network pruning based on filters’ similarity stability, contributing to the optimization of deep learning models.
Parallel acceleration of SAM algorithm and performance analysis
- Published as a journal article.
- Source: Haicheng Qu
- This work likely focuses on the parallelization and performance analysis of the SAM (Spatial Attention Mechanism) algorithm, which is crucial for efficient image processing tasks.
Research on Recommendation Algorithm of Joint Light Graph Convolution Network and DropEdge
- Published as a journal article.
- Source: Haicheng Qu
- This research explores recommendation algorithms leveraging Joint Light Graph Convolution Networks and DropEdge techniques, likely contributing to advancements in recommendation systems.
Ships Detection in SAR Images Based on Anchor-Free Model With Mask Guidance Features
- Published as a journal article.
- Source: Haicheng Qu
- This article likely discusses a method for detecting ships in SAR (Synthetic Aperture Radar) images using an anchor-free model with mask guidance features, contributing to maritime surveillance and security.
Author Metrics
As an esteemed researcher, Haicheng Qu’s contributions are reflected in his author metrics. His publications have garnered attention and recognition, with metrics such as citation counts, h-index, and impact factor reflecting the impact of his work within the academic community. These metrics serve as a testament to the significance and influence of his research contributions.
Research Timeline
Haicheng Qu’s research journey has been characterized by a timeline of significant achievements and milestones. From his early academic pursuits to his current role as an Associate Professor, each phase of his career has been marked by research projects, publications, and professional growth. His timeline showcases a trajectory of continuous learning, innovation, and contribution to the field of Information and Communications Engineering.
