Xiangyu Lu is a Ph.D. researcher and founder focused on UAV remote sensing, image processing, and deep learning for agriculture and ecology, with seven years of applied research experience. His work spans UAV image super-resolution using variance-enhanced diffusion models to bridge UAV and satellite data, real-time UAV-based geo-location and trait extraction systems for crop sensing, and current projects in paddy weed grading and forest tree crown instance segmentation. A visiting Ph.D. student at University of Toronto’s Ensminger Lab, he blends academic rigor from Zhejiang University with practical system-building and an interest in few-shot anomaly detection using hyperspectral imaging and UAV LiDAR 3D trait measurement. He also founded OpenLLMAI, reflecting an entrepreneurial streak and engagement with open-source AI tooling beyond his core remote-sensing domain.
7 years of coding experience
Visiting Ph.D Student, Visiting Ph.D Student at 加拿大多伦多大学
OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目,支持中英双语、多种模型、多种任务。
Contributions:39 commits, 47 pushes, 2 branches in 4 years 1 month
Contributions:24 commits, 21 pushes, 1 branch in 2 years 5 months
word2vecnlpdl-pytorchlstmspeech-tagger
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