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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. I'm graduating this May and actively seeking applied scientist or MLE positions.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 |