Qingdao University - China
Author Profile
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🎓 Early academic pursuits
Baoxiang Huang's academic journey began with a strong foundation in engineering and computational sciences. he earned his undergraduate degree from the school of traffic and vehicle engineering at shandong university of technology in 2002. his passion for technological advancements led him to pursue a master's degree at the provincial key laboratory of computer-aided design, school of mechanical engineering, shandong university, which he completed in 2005. driven by his interest in artificial intelligence and computational modeling, he furthered his studies at the college of information science and engineering, ocean university of china, where he obtained his doctoral degree in 2011. these formative years established his expertise in computer science, marine artificial intelligence, and big data analytics, paving the way for an illustrious academic and research career.
🌍 Professional endeavors
Baoxiang Huang has built an impressive career that spans across academia and research institutions. he began as an assistant professor at shandong university of technology from 2005 to 2008. following this, he took on a lecturer position at the school of computer science and technology, qingdao university, from 2011 to 2016. his dedication and contributions to the field led to his promotion as an associate professor and master supervisor at qingdao university in 2017. by 2022, he had ascended to the position of professor and doctoral supervisor at the college of computer science and technology, qingdao university.
🧠 Contributions and research focus
Professor Huang’s research primarily revolves around marine artificial intelligence, big data analytics, and computational modeling. he has led multiple groundbreaking projects, including the intelligent sensing of floating macroplastics and microplastics in the global ocean, a crucial international research initiative addressing environmental sustainability. his work on the lifecycle Artifical Intelligence Oceanography trajectory prediction of oceanic eddy propagation using physics-informed neural networks has been a significant contribution to oceanographic modeling.
🏆 Accolades and recognition
Professor Huang’s expertise has earned him notable recognition within the academic and scientific communities. he holds several prestigious positions, including director of the institute of marine artificial intelligence at qingdao university and secretary-general of the digital ocean committee of china national committee for the international digital earth society. he is a research Artifical Intelligence Oceanography member of the regional laboratory of ocean dynamics and numerical simulation and an esteemed member of various scientific organizations, including the artificial intelligence oceanography committee of the chinese society of oceanography, the china remote sensing application association, and the china computer society.
👨� Impact and influence
Professor Huang’s work has had a profound impact on the fields of oceanography, remote sensing, and artificial intelligence. his pioneering research in marine ai and big data has significantly advanced the understanding of ocean dynamics, environmental sustainability, and digital ocean technologies. through his leadership roles and academic endeavors, he has mentored a new Artifical Intelligence Oceanography generation of researchers and professionals in computer science and marine technology.
💡 Legacy and future contributions
Looking ahead, professor huang continues to push the boundaries of marine artificial intelligence and digital ocean research. his dedication to exploring advanced computational methods, enhancing big data analytics in marine science, and developing intelligent sensing technologies underscores his commitment to scientific excellence. he envisions a future where artificial intelligence and remote sensing will play a crucial role in marine conservation, environmental monitoring, and sustainable development.
Notable Publications
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Title: PQGAL-net: Perceptual quality guided generative adversarial learning for non-uniform illumination underwater image enhancement
Author(s): Jiaqi Ma, Mingzhe Wang, Guojia Hou, Weidong Zhang, Baoxiang Huang
Journal: Digital Signal Processing: A Review Journal, 2025
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Title: DCAFusion: A novel general image fusion framework based on reference image reconstruction and dual-cross attention mechanism
Author(s): Lixing Fang, Meng Hou, Baoxiang Huang, Ge Chen, Jie Yang
Journal: Information Sciences, 2025
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Title: Application of machine learning methods for predicting esophageal variceal bleeding in patients with cirrhosis
Author(s): Haichen Zhao, Xiaoya Zhang, Baoxiang Huang, Longyang Xiao, Zhiming Li
Journal: European Radiology, 2025
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Title: Contour and texture preservation underwater image restoration via low-rank regularizations
Author(s): Qing Yu, Guojia Hou, Weidong Zhang, Baoxiang Huang, Zhengkuan Pan
Journal: Expert Systems with Applications, 2025
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Title: Mesoscale Westward Eddy Trajectory Prediction with Memory Augmented Neural Network
Author(s): Wanchuan Kan, Baoxiang Huang, Milena V. Radenkovic, Xinmin Zhang, Ge Chen
Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025