PhD at xidian Unviersity, China.
Zhuang Junbin (庄俊彬) is a dedicated researcher specializing in deep learning and image processing 🧠📷. Born in 1993, he is currently pursuing a Ph.D. at Xi’an University of Electronic Science and Technology 🎓, focusing on computer vision, multi-sensor information fusion, and superpixel segmentation. With over 10+ SCI/EI-indexed papers 🏆, multiple patents, and involvement in national and industrial projects, he has significantly contributed to remote sensing, infrared imaging, and intelligent scene perception 🚀. His research has been published in top-tier journals, reflecting his innovative approach to AI-powered image analysis.
Professional Profile:
ORCID Profile
Suitability for Best Researcher Award
Dr. Zhuang Junbin is a highly qualified candidate for the Best Researcher Award, given his extensive contributions to deep learning, image processing, and multi-sensor information fusion. His strong publication record, leadership in national and industrial research projects, and intellectual property contributions make him an outstanding researcher in his field.
Education & Experience 🎓💼
📌 Ph.D. in Instrument Science & Technology – Xi’an University of Electronic Science and Technology (2019 – Present)
📌 M.Sc. in Control Science & Engineering – Harbin Engineering University (2018 – 2019)
📌 Lead Researcher – AI-driven superpixel segmentation & multi-sensor fusion projects
📌 Project Leader – Space scene perception & infrared target detection
📌 Published 10+ SCI/EI Papers – IEEE, Remote Sensing, Top AI journals
📌 Patents & Software – 5+ intellectual property contributions
Professional Development 🚀📖
Zhuang Junbin has led multiple research projects focusing on multi-source information fusion, remote sensing image analysis, and AI-based vision enhancement 🔬. He has designed and deployed novel algorithms for superpixel segmentation, infrared detection, and underwater image enhancement 🌊📡. His leadership in national defense, aerospace, and AI-driven perception systems has resulted in cutting-edge innovations in sensor fusion and intelligent imaging 🛰️🔍. His work is instrumental in military applications, satellite technology, and remote sensing automation, demonstrating his commitment to bridging AI with real-world challenges 🌍🤖.
Research Focus 🔬📊
Zhuang Junbin’s research primarily revolves around deep learning-driven image processing and multi-sensor data fusion 🖥️🔍. His work includes:
📌 Superpixel Segmentation – Advanced algorithms for precise image segmentation and boundary awareness 🏞️🧩
📌 Remote Sensing & AI – Developing models for satellite image analysis, terrain classification, and geospatial intelligence 🛰️🌏
📌 Infrared Object Detection – Enhancing military and defense imaging systems for real-time surveillance 🎯🔥
📌 Underwater Image Enhancement – AI-based dehazing and color restoration for deep-sea exploration 🐠🌊
📌 Multi-Domain Image Fusion – Integrating visible, infrared, and remote sensing data for superior image clarity 📡📷
Awards & Honors 🏆🎖️
🏅 Top-Tier Publications – Published in IEEE Transactions, Remote Sensing (SCI Q1-Q2, IF 8.3, 5.3, 3.4)
🏅 National Research Grants – Contributor to National Natural Science Foundation projects
🏅 Industrial Collaboration – Led defense and aerospace AI projects for space and military applications 🚀
🏅 Innovation Patents & Software – 5+ patents and software copyrights in computer vision & AI
🏅 Best Research Project Leadership – Recognized for leading high-impact AI research in multi-sensor fusion 🎯
Publication Top Notes
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“Band Selection Algorithm Based on Multi-Feature and Affinity Propagation Clustering”
- Authors: Junbin Zhuang, Wenying Chen, Xunan Huang, Yunyi Yan
- Year: 2025
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“Globally Deformable Information Selection Transformer for Underwater Image Enhancement”
- Authors: Junbin Zhuang, Yan Zheng, Baolong Guo, Yunyi Yan
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“HIFI-Net: A Novel Network for Enhancement to Underwater Optical Images”
- Authors: Jiajia Zhou, Junbin Zhuang, Yan Zheng, Yasheng Chang, Suleman Mazhar
- Year: 2024
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“Infrared Weak Target Detection in Dual Images and Dual Areas”
- Authors: Junbin Zhuang, Wenying Chen, Baolong Guo, Yunyi Yan
- Year: 2024
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“Area Contrast Distribution Loss for Underwater Image Enhancement”
- Authors: Jiajia Zhou, Junbin Zhuang, Yan Zheng, Juan Li
- Year: 2023
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“Research on Underwater Image Recognition Based on Transfer Learning”
- Authors: Jiajia Zhou, Junbin Zhuang, Benyin Li, Liang Zhou
- Year: 2022