Haodi Wang  
Research Area: Zero-knowledge Proof, Privacy Preservation  
TEL:  
(+86) 15710068793  
February. 1996  
E-mail:  
lirawang@foxmail.com  
Date of Birth:  
Education Background  
Beijing Normal University  
09/2020-Present  
09/2018-08/2020  
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First year of PhD candidate, recommended;  
Research Area: Zero-knowledge proofs  
Beijing Normal University  
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Master of Computer Science, recommended;  
Research Area: Deep learning and computer vision;  
GPA: 3.96 out of 4.0.  
Rank: 1 out of 30  
Beijing Normal University  
09/2014-08/2018  
03/2020-01/2021  
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Bachelor of Science in Computer Science, Department of Artificial Intelligence;  
GPA: 3.85 out of 5.0  
Rank: 6 out of 54  
Research Projects  
Research on the proof of deep learning model by zero-knowledge proof  
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Construct and train the mnist-demo/LeNet-5/AlexNet/VGG16 model;  
Give detailed principle and operation of CNN model  
Cooperate with SECBIT Labs for the paper (under review).  
Research on the batch Plonk zero-knowledge proof scheme  
11/2020-Present  
12/2020-01/2021  
12/2020-Present  
09/2018-12/2019  
09/2018-08/2019  
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Construct the main idea of this project  
Draft the paper (revising)  
Research on the Halo 0.9 zero-knowledge proof protocol  
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Construct the main idea  
Report this work on Cryptology ePrint Archive: https://eprint.iacr.org/2020/1573  
Research on the privacy-preserving deep learning model  
Construct the main idea of this project, it’s an ongoing research and still needs to be revised.  
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Research on image inpainting with generative adversarial network  
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Using GAN network and multi-discriminators for image inpainting;  
Publish a conference paper and attend to the conference in April, 2020.  
Research on image inpainting with text recovery and residual learning  
Publish journal papers as co-authors.  
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Research Achievements  
Preprint  
Cryptology ePrint Archive, Report  
2020/1573,  
Halo 0.9: A halo protocol with fully-succinctness  
https://eprint.iacr.org/2020/1573 (2020)  
Semantic Inpainting with Multi-Dimensional Adversarial  
Network and Wasserstein Distance.  
Conference  
paper  
3rd Chinese Conference on Pattern  
Recognition and Computer Vision  
Multi-scale semantic image inpainting with residual learning  
and GAN.  
journal  
paper  
Neurocomputing, 2019,  
331(9252312):199-212  
Text recovery via deep CNN-BiLSTM recognition and  
Bayesian inference.  
journal paper  
IEEE Access, 2018,  
6(21693536):76416-76428  
Skills and Certificates  
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Programming language: Python, Rust, PostgreSQL, MySQL;  
Platform: Keras, Tensorflow, libsnark;  
TOEFL: 103;  
GRE Score: Verbal 157, Quantitative 166, Writing 3.5.  
Summer School Workshop  
University of California, Berkeley  
07/2018-08/2018  
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Course: The person in big data, 93.48 out of 100;  
Course: Academic writing, 95.49 out of 100.  
Teaching Assistant Experience  
Beijing Normal University, Principle of Database System  
2019 Fall, 2020 Fall  
2018 Fall  
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Teach experiment classes for nearly 60 class hours by now;  
Help undergraduate students with the operation of PostgreSQL;  
Assist in correcting experiment results and tested papers.  
Beijing Normal University, Deep Learning  
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Teach undergraduate students about the basic concepts in convolutional neural network;  
Help undergraduate students with the operation of python and toy-models;  
Assist in correcting programming errors and results in homework.  
Other Experience  
Monitor of postgraduate class  
09/2018-08/2020  
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Successfully organized several activities, including the journey to XiangShan, Beihai Park etc.;  
Assist my classmate in their daily lives;  
Practiced communication skills and enhanced the sense of responsibility.  
Honor & Award  
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The First prize of the scholarship for New Graduate Students of Beijing Normal University, 2018;  
The First prize of Academic Scholarship for Graduate Students of Beijing Normal University, 2019;  
The First prize of Academic Scholarship for Graduate Students of Beijing Normal University, 2020;  
The Outstanding student cadres of Beijing Normal University, 2019;  
Merit Student and Outstanding Members of Beijing Normal University.