Yu-syuan Xu is a Senior AI Algorithm Engineer based in New Taipei, Taiwan with 11 years of experience specializing in deep learning and computer vision for intelligent vision/video analysis and advanced image/video processing. At MediaTek he leads development and on-device deployment of cutting-edge AI models and co-designs/optimizes Deep Learning Accelerator integrations to maximize performance on APU-powered edge devices. His strong academic foundation from National Tsing Hua University (MS/BS, top GPA) is complemented by hands-on teaching roles at NVIDIA and his university, reflecting both research depth and practical pedagogy. He focuses on turning state-of-the-art research into efficient, production-ready solutions for constrained hardware, bridging algorithm design and system-level optimization. Known for squeezing high accuracy and throughput from edge ecosystems, he brings a rare combination of algorithmic rigor and hardware-aware engineering.
11 years of coding experience
Master's degree, Computer Science, 4.15/4.3, Master's degree, Computer Science, 4.15/4.3 at National Tsing Hua University
Modified implementation for DVSNet based on Tensorflow
Contributions:27 commits, 17 pushes, 26 comments in 11 months
tensorflowdvsnetvideo-segmentation
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