M.Eng., Xidian University (XDU)

Sep 2021 - Jun 2024

• Major: Control Science and Engineering, School of Artificial Intelligence
• Advisor: Prof. Weisheng Dong
• Laboratory: Department of Intelligent Engineering
• GPA: 3.6/4

B.Eng., Xidian University (XDU)

Sep 2017 - Jun 2021

• Major: Information Security, School of Cyber Engineering
• GPA:3.6/4

Deep Unfolding Network for Efficient Mixed Video Noise Removal (Published)

Lu Sun, Yichen Wang, Fangfang Wu, Xin Li, Fellow, IEEE,
Weisheng Dong, Member, IEEE, and Guangming Shi, Fellow, IEEE
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT)

During Postgraduate

• Outstanding master student of XDU, 2022, 2023, 2024
• The Second Prize Scholarship of XDU, 2022, 2023, 2024
• Elite four men's singles in the university tennis match, 2023
• Elite eight men's singles in the university tennis match, 2022, 2024
• Outstanding volunteer in the fight against COVID-19, 2022

During Undergraduate

• Excellent Communist Youth League member, 2019, 2020, 2021
• The Third Prize Scholarship of XDU, 2019, 2020
• Special Prize of National Cryptography Competition (Top 1 got the awards), 2019

Video Restoration with Enhanced Prior (Thesis for The Master Degree)

• Goal: Harness the rich detail information contained in high-quality video frames as prior guidance for denoising and restoring videos corrupted with mixed noise.
• Advisor: Prof. Weisheng Dong
• Consigner: School of Artificial Intelligence, Xidian University

Object Detection for State Grid Corporation of China (Aug 2022 - Jun 2024)

• Name: Oil leak detection
• Consigner: State Grid Jiangsu Electric Power CO., LTD, Corporation of China
• Role: Head of Research Project

Restoration of Old Movie Noise (Oct 2021 - Aug 2022)

• Goal: Removing the Mixture of Additive White Gaussian Noise and Impulse Noise of Old Film's Frames by Using Convolutional Neural Networks
• Advisor: Prof. Weisheng Dong
• Achievement: A Paper Accepted by T-CSVT and a Patent (Pending)
• Role: The Second Author of The Paper

Financial Fraud Prediction Based on Deep Neural Network, Huawei Technologies Co., Ltd.

Outstanding intern

• AI engineer
• Main work accomplished during the internship:
1.Study the classic cases of financial fraud, summarize the behaviors of fraud that are different from normal transactions, and generalize the typical fraud patterns from them.
2.From the simulated transaction data, design 60 features of fraudulent transactions using data analysis libraries such as PySpark and Pandas
3.The features from the previous step are further organized and data mined to construct a feature matrix containing time series.
4.Use the obtained feature matrix to train various machine learning and neural network algorithms, and the recall rate can reach 87%.

• Jun 2023 - Aug 2023

Fighting against COVID-19 (Jan 2022)

• Organizer: Xidian University
• Role: Volunteer

National Middle School Student Cyber Security Competition (2019 – 2021 Annually)

• Responsible Part: Live Broadcast on 3 Platforms and Live Photography
• Sponsor: Office of Shaanxi Provincial Internet Information & Xidian University
• Role: Sponsor's Head of Students

College Administrative Affairs (2019 - 2021)

• Work for: School of Cyber Engineering, Xidian University
• Role: Counselor assistant

CHINACRYPT 2019 (Nov 2019)

• Organizer: Chinese Association for Cryptologic Research (CACR)
• Role: Volunteer

College Publicity Work (2017 - 2021)

• Work for: School of Cyber Engineering, Xidian University
• Role: Head Photographer