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叶晨
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教授级高级工程师
博士生导师
硕士生导师
- 教师拼音名称：yechen
- 电子邮箱：3b63f01644d3263fc92d68993c21b3b780d81650085f8a8a3b2ca50fdcdaa887601f6fb35e9ed18aeec3200b70830f25b3a77cb128e0efeac580d32a1ecf8974657ec2a370d991fb5d5501f12ea10704218b64d37da0b7ed22b8af45694987fb6e73629df07755d977486e6161b12adc500a507493e0bcee78b2622ffdab0764
- 学历：博士研究生毕业
- 学位：工学博士学位
- 主要任职：计算机科学与技术学院实验中心负责人
- 毕业院校：同济大学
- 学科：电子信息
计算机科学与技术
- 招生学科：智能科学与技术
电子信息
访问量：
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[1]叶晨.Exploring Mathematical Extrapolation of Large Language Models with Synthetic Data209 N EIGHTH STREET, STROUDSBURG, PA 18360 USA:62nd Annual Meeting of the Association-for-Computational-Linguistics (ACL) / Student Research Workshop (SRW),2024,936-946.
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[2]叶晨.VNI-Net: Vector neurons-based rotation-invariant descriptor for LiDAR place recognition☆RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS:ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2024,218506-517.
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[3]叶晨.GlyphGenius: Unleashing the Potential of AIGC in Chinese Character Learning445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA:IEEE ACCESS,2024,12136420-136434.
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[4]叶晨.LIMOT: A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA:IEEE ROBOTICS AND AUTOMATION LETTERS,2024,9(7):6600-6607.
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[5]叶晨.Batch Informed Vines (BIV): Heuristically Guided Exploration of Narrow Passages by Batch Vine Expansion445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA:IEEE Robotics and Automation Letters,2025,
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[6]叶晨.LOG-LIO2: A LiDAR-Inertial Odometry With Efficient Uncertainty Analysis445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA:IEEE ROBOTICS AND AUTOMATION LETTERS,2024,9(10):8226-8233.
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[7]叶晨.Focus On What Matters: Separated Models For Visual-Based RL GeneralizationarXiv,2024,
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[8]叶晨.A Large-Angle License Plate Detection and Recognition System in Chinese Port Scenarios152 BEACH ROAD, #21-01/04 GATEWAY EAST, SINGAPORE, 189721, SINGAPORE:20th International Conference on Intelligent Computing (ICIC),2024,14866311-322.
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[9]叶晨.Subject-independent EEG classification based on a hybrid neural networkAVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND:Frontiers in Neuroscience,2023,17
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[10]叶晨.N3-Mapping: Normal Guided Neural Non-Projective Signed Distance Fields for Large-Scale 3D Mapping445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA:IEEE ROBOTICS AND AUTOMATION LETTERS,2024,9(6):5935-5942.
