Qi Mao
Lecturer at Communication University of China
Beijing, China
Summary
👤
Senior🎓
Top SchoolQi Mao is a lecturer at the Communication University of China with a PhD in computer science from Peking University and nine years of research and teaching experience focused on image generation, image-to-image translation, low-level computer vision, deep learning, and video coding. Based in Beijing, he works at the School of Information and Communication Engineering within the State Key Laboratory of Media Convergence and Communication, bridging academic research and applied media technologies. His background includes a visiting scholar stint in computer vision at UC Merced and strong undergraduate foundations in digital media and journalism, reflecting a rare blend of technical depth and media awareness. Qi’s work emphasizes practical advances in visual synthesis and compression, often exploring cross-disciplinary applications that inform both research and curriculum.
9 years of coding experience
Bachelor's degree, Digital Media Technology, 平均分：93分 GPA：3.87/4.0, Bachelor's degree, Digital Media Technology, 平均分：93分 GPA：3.87/4.0 at Communication University of ChinaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Peking UniversityVisiting Scholar, Computer Vision, Visiting Scholar, Computer Vision at University of California, Merced
Chinese, Chinese
Github Skills (22)
updating7
recall6
generative-adversarial-network6
arxiv5
generative-model5
generative5
evaluation5
image-processing4
dcgan4
translation4
image-translation4
coverage4
computer-graphics4
cyclegan4
deep-learning3
Programming languages (2)
Github contributions (5)
HelenMao/Conditional-Image-Generation-Papers
Mar 2019 - Mar 2019
Contributions:18 commits, 1 push in 4 days
HelenMao/MSGAN
Mar 2019 - Apr 2019
Contributions:46 commits, 7 pushes, 25 comments in 1 month
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