Top expert inDeep Learning and Model Optimization Techniques
Yongcheng Liu is a visual computing specialist with nine years of experience bridging academic research and industry production, currently driving 3D/2D perception and data-closure algorithms for high-definition maps at Amap, Alibaba. He previously served as an assistant professor at the National Laboratory of Pattern Recognition (CASIA), where his research focused on 3D point cloud processing, image segmentation, scene understanding, and deep learning for remote sensing and video analysis. Comfortable moving models from lab to large-scale visual big-data pipelines, he combines rigorous PhD training in pattern recognition with hands-on experience deploying perception stacks for mapping products. Based in Haidian, Beijing, he has industry research experience including a stint at SenseTime, reflecting a pragmatic mix of cutting-edge algorithms and production engineering. An under-the-radar strength is his end-to-end perspective on both model-centric perception and the data-closure loops that keep mapping systems accurate at scale.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy, Pattern Recognition and Intelligent Systems, Doctor of Philosophy, Pattern Recognition and Intelligent Systems at University of Chinese Academy of Sciences
Bachelor of Engineering, Control Technology and Instrument, 5.6%, Bachelor of Engineering, Control Technology and Instrument, 5.6% at Huazhong University of Science and Technology
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