Fumin Shen
Professor at University of Electronic Science and Technology
Chengdu, Sichuan, China
Summary
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Senior🎓
Top SchoolFumin Shen is a professor and researcher with 13 years of experience specializing in computer vision, machine learning, and learning-based hashing for large-scale visual retrieval and recognition. He has authored 80+ publications in top venues (CVPR, ICCV, SIGIR, TPAMI, TIP) and earned multiple best-paper recognitions, reflecting a sustained impact on discrete hashing and retrieval methods. Based at the University of Electronic Science and Technology in Chengdu, he blends theoretical advances with practical retrieval applications and has served extensively on program committees and editorial boards. His work uniquely spans both supervised discrete hashing and manifold-based inductive hashing, demonstrating a focus on making compact representations work for real-world maximum inner product and collaborative filtering tasks.
13 years of coding experience
1 year of employment as a software developer
Joint PhD, Computer Vision, Joint PhD, Computer Vision at University of AdelaideDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Nanjing University of Science and TechnologyBachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at Shandong University
English, Chinese
Github Skills (5)
discrete-optimization1
pytorch1
deep-learning1
similarity1
optimization1
Github contributions (5)
bd622/DiscretHashing
May 2015 - Dec 2017
Contributions:2 commits, 1 push, 1 branch in 2 years 7 months
bd622/BinaryOptimization
Oct 2016 - Oct 2016
Contributions:3 commits, 2 pushes, 1 branch in 1 day
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