Mr. Shuang Wu, Chongqing Metropolitan College of Science and Technology, China
Shuang Wu is a male teacher specializing in computer vision, particularly in salient object detection, affiliated with the School of Artificial Intelligence and Big Data at Chongqing Metropolitan College of Science and Technology. Holding a Master’s qualification from Chongqing University of Technology, he has four years of experience, including a tenure as an Algorithm Engineer at Futong Genesis AI lab. Wu has made significant contributions to the field, evident through his research papers published in renowned journals and his two Chinese patents related to innovative methods in object recognition. With a strong academic background and a commitment to advancing the field of computer vision, Wu aims to drive real-world applications of his research in areas such as autonomous driving and medical image analysis.
Professional Profile:
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🎓 Education:
Shuang Wu pursued his Bachelor’s and Master’s degrees at Chongqing University of Technology, solidifying his foundation in Computer Vision. From 2015 to 2019, he immersed himself in the undergraduate program, delving into various aspects of technology and laying the groundwork for his future endeavors. Building upon this knowledge, he continued his academic journey from 2020 to 2023, focusing on advanced studies and research in his Master’s program. These formative years equipped him with a deep understanding of the theoretical underpinnings and practical applications of computer science, particularly in the realm of Artificial Intelligence and Big Data. Throughout his academic pursuit, Shuang demonstrated a keen aptitude for innovation and a relentless drive for excellence, setting the stage for his subsequent contributions to the field as a researcher and educator.
🔬 Experience:
Shuang Wu ventured into the industry as an Algorithm Engineer at Futong Genesis AI Lab from 2023 to 2024. In this role, he applied his expertise in Computer Vision to tackle real-world challenges, contributing to the development of cutting-edge algorithms and solutions. Transitioning to the realm of academia, Shuang assumed the role of a Teacher at Chongqing Metropolitan College of Science and Technology from 2024 onwards. Here, he shares his knowledge and passion for technology with the next generation of innovators, guiding students in their exploration of Artificial Intelligence and Big Data. As both a practitioner and an educator, Shuang continues to make meaningful contributions to the fields of computer science and AI, bridging the gap between theory and application while nurturing future talent in the industry.
🏆 Academic Achievements:
Shuang Wu’s contributions extend beyond academia, with notable achievements in patenting and publishing. He holds two Chinese invention patents, showcasing his innovative approach to solving problems in Computer Vision. Additionally, his research has been recognized and published in esteemed journals such as “Image and Vision Computing” and “Cognitive Computation.” These publications serve as a testament to Shuang’s expertise and the impact of his work in advancing the field of Artificial Intelligence. Through his patents and research papers, Shuang demonstrates a commitment to pushing the boundaries of knowledge and driving technological innovation forward.
Publication Top Notes:
- SRFFNet: Self-refine, Fusion and Feedback for Salient Object Detection
- Authors: S. Wu, G. Zhang
- Published Year: 2023
- Journal: Cognitive Computation
- Citation: 943-955
- Swinsod: Salient Object Detection Using Swin Transformer
- Authors: S. Wu, G. Zhang, X. Liu
- Available at SSRN 4556674
- FI-FPN: Feature-integration feature pyramid network for object detection
- Authors: Q. Su, G. Zhang, S. Wu, Y. Yin
- Published Year: Not specified
- Journal: AI Communications
- Citation: 1-13