Zhifei Zhang
About Zhifei Zhang
Zhifei Zhang is a Research Engineer at Adobe, specializing in generative adversarial networks and image synthesis. He has a diverse background in research and engineering, with experience at several prestigious institutions and companies.
Work at Adobe
Zhifei Zhang has been employed at Adobe as a Research Engineer since 2018. In this role, he focuses on advanced research in deep learning, particularly in the area of generative adversarial networks. Prior to his current position, he served as a Deep Learning Research Intern at Adobe from 2017 to 2018. His work at Adobe involves developing innovative solutions for image and video synthesis, contributing to the company's efforts in enhancing digital media technologies.
Education and Expertise
Zhifei Zhang holds a Doctor of Philosophy (PhD) in Computer Engineering from the University of Tennessee, Knoxville, where he studied from 2014 to 2019. He also earned a Master's degree in Electrical and Electronics Engineering from Zhejiang University, completing his studies from 2010 to 2013. Additionally, he has a background in Mechanical Engineering from Oregon State University. His expertise includes generative adversarial networks, mathematical optimization, and proficiency in programming languages such as TensorFlow, Matlab, Python, and C/C++.
Background
Zhifei Zhang's professional background includes various research roles across multiple organizations. He worked as a Research Assistant at the University of Tennessee from 2014 to 2018 and at Oregon State University from 2013 to 2014. He also gained experience as a Research Intern at GE Global Research and Alibaba.com, as well as at Siasun Robot & Automation Co., Ltd. His international experience spans across the United States and China, contributing to his diverse skill set in research and engineering.
Achievements
Zhifei Zhang has demonstrated significant contributions in the field of deep learning and image processing. His work with generative adversarial networks has applications in image generation, transformation, and editing. He actively seeks interns for projects related to image and video synthesis, indicating his commitment to advancing research in this area. His strong foundation in mathematical optimization further supports his research capabilities.