About

Xueying (Ace) Hu is a Robotics Software Engineer at Johnson & Johnson, with a keen interest in the robotics and autonomous vehicle industry. Currently pursuing a Master of Science in Mechanical Engineering at Stanford University, Xueying has gained a wealth of experience in her field, having worked for several companies in the past. Xueying's most recent role was as a Deep Learning Research Intern at Sensetime 商汤科技, where she participated in the AIM 2020 Learned Smartphone ISP Challenge and was part of the top 10 teams. Her responsibilities included developing a Multi-scaled W-net architecture using Pytorch to apply color correction, preprocessing misaligned images, and removing 17% dirty data by the histogram. She also improved training efficiency with a 2.6 times faster convergence rate than the state-of-the-art method (PyNET) and removed image artifacts, reducing runtime by conducting cross-channel white interpolation. Xueying is also the Founder of a Digital Therapeutics Platform for arthritis diseases, where she developed a mobile app for arthritis rehabilitation training in JavaScript and PHP. She collected information and analyzed training frequency from users on MySQL to provide further guidance and managed to shorten the recovery time for patients by more than 15%. Xueying is a highly skilled software engineer with experience in deep learning and research science. She is proficient in Pytorch, JavaScript, PHP, MySQL, and mobile app development. With 1.78 years of relevant experience and a Bachelor of Engineering in Engineering Mechanics Major and Electrical Engineering Minor from the University of Illinois, Xueying is well-equipped to take on any challenges in her field.