Biography

Zewen Li, M.S. @ Carnegie Mellon University, received B.E. degree from Computer Science and Technology of Hohai University. During undergraduate, he served as the president of Student Association of Science and Technology in College of Computer & Information at HHU. He won 20 scholarships such as Yan Kai First Prize Scholarship(top 0.03%), China National Scholarship(top 1%), and 20 honors such as Merit Student of Jiangsu Province(top 0.1%), Outstanding Student with Highest Honor(top 1%). He published over 10 papers on IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Journal of Computer Science, IEEE International Symposium on Multimedia (ISM), IEEE International Conference on Multimedia and Expo (ICME), etc. His eight China national invention patents were accepted, and one national practical new-type patent was authorized (first inventor). Besides, he won two national awards, four provincial awards, and several university-level awards in science and technology competitions. His experience was publicized by the People's Daily, Sina.com, Toutiao, official website of Hohai University, official WeChat account of Hohai University, Official WeChat account of Student Affairs Office, Hohai University, Journal of China Campus, etc.

Education

Hohai University (HHU), College of Computer and Information, Sep 2016- Jun 2020
Bachelor of Engineering, Computer Science and Technology, GPA: 91.4/100 (4.7/5.0), Ranking: 5/178

Skills & Abilities

Programming

Sports

Music

About Me

Selected Publications

Selected Patents

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A Smart Suitcase

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Face Image Restoration Based on Residual Generative Adversarial Network

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An Automatic Obstacle Avoidance Suitcase Based on Binocular Vision

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A mobile Power Generation Device Based on An Electric Suitcase

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A Smart Electric Suitcase with Capacitive Fingerprint Unlocking Function

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An Intelligent Tracking Suitcase Based on Gait Recognition Algorithm

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A Low Power Location and Loss-proof Luggage Based on RFID and Wireless Communication Technology

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An Intelligent Hard Hat Wearing Detection System Based on Edge Computing

MOOCs


01

Deep Learning


Offered by: Andrew NG, DeepLearning.AI, Coursera


02

Machine Learning


Offered by: Andrew NG, Stanford University, Coursera


03

Introduction to TensorFlow for AI, ML, and DL


Offered by: Laurence Moroney, Google Brain, Coursera


04

Convolutional Neural Networks for Visual Recognition


Offered by: Feifei Li, Stanford CS231n


05

Build Basic Generative Adversarial Networks (GANs)


Offered by: Sharon Zhou, DeepLearning.AI, Coursera


06

Machine Learning Engineering for Production (MLOps)


Offered by: Andrew Ng, DeepLearning.AI, Coursera


07

Deep Learning for Self-Driving Cars


Offered by: Lex Fridman, MIT 6.S094


08

Neural Networks for Machine Learning


Offered by: Geoffrey Hinton

" To enthusiastically harness AI to make the world a better place for all creatures to live. "

Competitions

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Scholarships

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Honors

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Albums

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Any question? Feel free to reach out

Contact