PhD student at Zhejiang University , China
Xinyue Gong 🎓 is a dedicated and dynamic Ph.D. candidate at Zhejiang University, specializing in Resource Exploration and Geophysics. With a strong academic foundation from Ocean University of China, where she ranked 2nd in her class, she has consistently demonstrated intellectual curiosity and a passion for scientific inquiry. Her journey through the world of geosciences has been marked by an integration of advanced technologies such as deep learning, seismic data analysis, and remote sensing. 💻🛰️ Beyond her academic excellence, Xinyue has led and participated in multiple national innovation projects, showcasing her leadership, coding fluency, and creative visualization skills in platforms like Unity3D. 🌊 Her research strives to bridge theory and application, particularly in the reconstruction of sparsity seismic data using AI models like DnCNN and Diffusion Models. With a blend of technical brilliance and vision, Xinyue is poised to make impactful contributions to the future of geophysics and Earth observation. 🌍🚀
Professional Profile
Scopus Profile
🎓 Education
Xinyue Gong’s educational path is paved with precision and passion. 🧭 She is currently pursuing her Ph.D. in Resource Exploration and Geophysics at Zhejiang University, guided by Prof. Shengchang Chen. Her academic focus includes seismic inversion, computational geophysics, and AI-enhanced data processing—courses that anchor her deep understanding of the Earth’s subsurface. 🌐 Prior to her doctoral studies, she earned her Bachelor’s degree in Geo-information Science and Technology from Ocean University of China, graduating with a stellar GPA of 3.71/4.00 and securing the 2nd rank in her class of 34 students. 📘📈 This foundational training equipped her with both theoretical insight and hands-on skills in geospatial data, GIS, and remote sensing technologies. Her solid academic performance reflects not only her analytical prowess but also her unwavering commitment to the pursuit of knowledge. 🔬📚 From the oceans of Qingdao to the labs of Hangzhou, Xinyue’s academic journey is a story of vision and discipline.
💼 Professional Experience
Xinyue Gong’s professional pursuits revolve around the intelligent integration of geophysical concepts with modern AI techniques. 🧠🌋 As a doctoral researcher, her primary project involves the reconstruction of seismic data by blending deep learning and knowledge-driven constraints. She has tackled the challenges of spatial irregularity and theoretical limitations in compressed sensing with cutting-edge models like DnCNN and Diffusion Models. 📡 Her hands-on experience extends back to her undergraduate days, where she led a national innovation project on coastline detection using deep learning techniques such as FCN and HED. She also contributed as a core member in developing a visual simulation for Ocean Bottom Seismograph (OBS) deployment using Unity3D and C#, enhancing the interactive understanding of seismic operations. 🛠️🖥️ Her combined exposure to algorithm development, simulation, and real-world geoscience applications makes her a versatile and forward-thinking researcher, capable of transforming complex earth systems into computationally navigable frameworks. 🚧🔍
🔬 Research Interest
Xinyue Gong’s research compass points toward the frontier of AI-driven geoscience. 🧭🧠 Her interests are anchored in the acquisition and processing of sparsity seismic data, where she seeks to overcome limitations in conventional reconstruction through advanced algorithms. With a deep appreciation for the power of compressed sensing and the interpretability of deep learning, she explores hybrid models that combine data-driven methods with domain knowledge—an approach evident in her work with DnCNN and Diffusion Models. 🌀🧩 She is equally intrigued by the use of remote sensing in Earth system monitoring, particularly in coastal and marine environments. Her methodological blend of geophysics, signal processing, and artificial intelligence signals a paradigm shift in how seismic and geospatial data are interpreted. 🛰️🌍 Xinyue aims to develop robust and efficient systems that can handle real-world complexities with accuracy and computational elegance, making her research not only innovative but also essential for future environmental and energy challenges. 🌊🔎
🏅 Awards and Honors
Xinyue Gong’s academic path has been adorned with recognition and accolades that mirror her exceptional talent and dedication. 🏆📜 Ranking 2nd out of 34 in her undergraduate program is a testament to her consistent excellence and intellectual drive. As the Project Leader in the National Innovation Training Program for Chinese College Students, she successfully led a multidisciplinary team to develop a deep learning-based coastline extraction system—a rare feat for an undergraduate researcher. 👩💻🌊 Her capability to manage complex datasets and lead innovation efforts was further recognized through her co-leadership in the Ocean Bottom Seismograph visual simulation project, which combined technical artistry with geophysical realism. 🎮🔬 Her work has not only brought national-level recognition but also forged a strong foundation for future scientific contributions. These accomplishments reflect not just skill, but a steadfast commitment to innovation and academic leadership in geoscience and computational modeling. 🧠💡
Publications Top Notes
Title: Compressed sensing approach to 3D spatially irregular seismic data reconstruction in frequency-space domain
Authors: Xinyue Gong, Shengchang Chen, Yawen Zhang, Ruxun Dou, Wenhao LuoFrontiers+1MDPI+1
Journal: Journal of Applied Geophysics
Year: 2025
DOI: 10.1016/j.jappgeo.2025.104345
Abstract: This study presents a novel method for reconstructing 3D spatially irregular seismic data by combining compressed sensing techniques with deep learning models in the frequency-space domain. The approach aims to enhance the accuracy and efficiency of seismic data reconstruction, which is crucial for subsurface imaging and geological interpretation.
🧾 Conclusion
In a world increasingly defined by data and complexity, Xinyue Gong stands as a beacon of interdisciplinary brilliance. 🌟🔍 Her blend of geophysical expertise and AI-savviness is rare and impactful, enabling her to decode Earth’s secrets with precision and elegance. From theoretical frameworks to hands-on applications, she has demonstrated a comprehensive and forward-looking approach to scientific challenges. 🌐💻 Her leadership in national projects, proficiency in seismic data reconstruction, and passion for environmental understanding place her among the most promising young researchers in geosciences. As she continues her doctoral journey at Zhejiang University, she is poised not just to contribute—but to transform the field of geophysics. 🧪🌍 Xinyue Gong is not merely building a career; she is building bridges between Earth systems and intelligent computation, preparing to make waves in academia, industry, and beyond. 🚀🧬