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I am a PhD candidate at Purdue University advised by Prof. Songlin Fei. Prior to Purdue, I obtained my Master of Science from the Insitute of Urban Environment, Chinese Academy of Sciences. My research interests include Machine Learning, 3D Computer Vision, and Remote Sensing. I currently focus on developing 3D vision algorithms on LiDAR point clouds for automatic forest inventory. By leveraging modern sensing technologies and intelligent algorithms, I aim to improve traditional, labor-intensive forest inventory methods to promote sustainable forest practices globally. Please reach out to me if you have questions about my research or hope to seek collaboration. Email | CV | GitHub | Google Scholar | LinkedIn |
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Jan 2026: 📜 One paper has been accepted for publication by Remote Sensing of Environment! |
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Sep 2025: 🌟 I was selected as the Purdue Ag Graduate Spotlight of September! (Article) |
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Jan 2025: 🏆 Win the first place in ASPRS 2024 GeoChallenge as the team leader! (Announcement; News) |
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Jinyuan Shao, Dennis Heejoon Choi, Jidong Liu, Xiangxi Tian, Bina Thapa, Seunghyeon Lee, Ayman Habib, Songlin Fei Remote Sensing of Environment (RSE), 2026 |
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Jinyuan Shao, Yi-Chun Lin, Cameron Wingren, Sang-Yeop Shin, William Fei, Joshua Carpenter, Ayman Habib, Songlin Fei Science of Remote Sensing (SRS), 2024 poster |
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Jinyuan Shao, Yi-Ting Cheng, Yerassyl Koshan, Raja Manish, Ayman Habib, Songlin Fei IEEE International Geoscience and Remote Sensing Sypossium (IGARSS), 2023 poster |
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Sheng Fang, Kaiyu Li, Jinyuan Shao, Zhe Li, IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), 2021 code |