Wenan Wang
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Wenan Wang (王文安 in Chinese)
Ph.D Student
Kaggle Master

School of Life Science and Technology
University of Electronic Science and Technology of China (UESTC)

E-mail: 903953316@qq.com
WeChat: wisley93953316
[GitHub] [Kaggle] [Google Scholar] [IEEE] [CSDN]

About me

I am currently a Ph.D student at UESTC and my supervisor is Prof. Yifan Chen. I received the master's degree from UESTC in 2021. After graduating with a master's degree, I worked as an intelligent algorithm engineer in a company for two years. After that, I continued to pursue a doctoral degree in 2023.

My research interests include:

  • Artificial Intelligence for Science: Electromagnetic inverse problem, wearable sensing, brain-computer interface（BCI）etc.

  • Computer Vision

  • Large Language Models

Educations

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  • University of Electronic Science and Technology of China (UESTC) Ph.D in Biomedical Engineering, from August 2023 to June 2027.

  • University of Electronic Science and Technology of China (UESTC) M.S. in Biomedical Engineering, from August 2018 to June 2021.

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  • Nanyang Technological University (NTU) CSC Outstanding Engineers Program (Joint PhD), from May 2025 to May 2026.

Experiences

  • [2025-2026] Visiting students from Nanyang Institute of Technology, from December 2025 to December 2026.

  • [2023-2024] Research Intern at Shanghai Digital Innovation Center, from December 2023 to December 2024.

  • [2021-2023] Intelligent Algorithm Engineer at @Hua, from August 2021 to July 2023.

Competitions & Rewards

I am very interested in AI algorithm competitions and have many years of competition experience.

  1. BME 2019: National Biomedical Engineering Competition, 🏆 First Prize.

  2. C4 2020: China Collegiate Computing Contes 2020 - Huawei Cloud Big Data Challenge 4/1491 [link], 🏆 First Prize [certificate].

  3. C4 2021： China Collegiate Computing Contes 2021 - WeChat Big Data Challenge [link], 🥈 Second Prize.

  4. 2021 3rd Shandong Provincial Data Application Innovation and Entrepreneurship Competition ECG Intelligence, 🏆 1st place.

  5. Kaggle 2021 Google Brain - Ventilator Pressure Prediction [link], 🥈 Silver Medal.

  6. Kaggle 2023 AMP®-Parkinson's Disease Progression Prediction [link], 🥈 Silver Medal.

  7. Kaggle 2023 Parkinson's Freezing of Gait Prediction [link], 🏅 Gold Medal.

  8. iFLYTEK AI development competition 2023: Brain PET Image Analysis and Disease Prediction Challenge [link], 🏆 1st place.

  9. iFLYTEK AI development competition 2023: Farmer Identity Recognition Challenge [link], 🏆 1st place.

  10. AFAC 2023 Tianchi Financial AI Challenge - Pet Age Recognition [link], 🥉 5rd place.

  11. Mobile Cloud Cup 2023 Computing and Network Computing Power Competition - Industry Track [link], 🏆 1st place.

  12. DiMTAIC 2023 Digital Medical Technology: Colorectal Tumor and Abnormal Lymph Segmentation Algorithm [link], 🥉 3rd place.

  13. 2024 9th Tencent Game Security Technology Competition - Machine Learning Track [link], 🥈2nd place.

  14. AI4S Cup 2024 - Wave Speed Reconstruction in Ultrasound CT Imaging [link], 🥉 5rd place.

  15. DC 2025 Electromagnetic Big Data Extraordinary Challenge [link],🥉 6rd place.

  16. DCIC 2025 Digital China - AI-based Minjiang River Basin Hydrological Forecasting [link], 🏆 1st place.

  17. CIKM2025: The 10th Finup Global AI Algorithm Competition: Visual Deepfake Detection [link] [code], 🏆 1st place.

Published Journals

Note: * for corresponding author,

  1. Addressing Multiple Challenges in Early Gait Freezing Prediction for Parkinson's Disease: A Practical Deep Learning Approach
    W Wang, J Lin, X Le, Y Li, T Liu, L Pan, M Li, D Yao, P Ren*
    IEEE Journal of Biomedical and Health Informatics (JBHI 2024, Q1 IF:6.8).
    [link]

  2. Analysis of the relation between balance control subsystems: a structural equation modeling approach
    K Wu, J Zhang, AWA Mohsen, Z Wang, Y Jin, W Wang, X Peng, D Yao*
    IEEE transactions on neural systems and rehabilitation engineering (TNSRE 2024, Q2 IF:5.2).

  3. Automated prediction of infant cognitive development risk by video: A pilot study
    S Ji, D Ma, L Pan, W Wang, X Peng, JT Amos
    IEEE Journal of Biomedical and Health Informatics (JBHI 2023, Q1 IF：6.8).

  4. Gait analysis by causal decomposition
    X Peng, Y Feng, S Ji, JT Amos, W Wang, M Li, S Ai, X Qiu, Y Dong, D Ma
    IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE 2021, Q2 IF:5.2)

Patent

Patents published as the first inventor during the period of serving as an algorithm engineer. [Patent search link]

  1. Multi-Task Learning for Face Recognition Based on Graph Neural Network, First author, Publication Number:​​ CN114360007A

  2. A Self-Supervised Learning-Based Training Method for Face Recognition Models, First author, Publication Number:​​ CN114358249A

  3. Dynamic Margin Binary Classification Network Training Method for Face Recognition, First author, Publication Number:​​ CN115439707A

  4. A Method for Generating Face Adversarial Patches Based on Conditional Diffusion Model, First author, Publication Number:​​ CN116109534A

Projects

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TrustRAG ⭐:1k+, fork: 120
It is a configurable and modular Retrieval-Augmented Generation (RAG) framework.
As a core contributor, if you have any questions regarding this framework, please feel free to discuss them with me.

Scholarship & Honors

  1. Academic Scholarship First Class: 2019-2020 & 2020-2021 at University of Electronic Science and Technology of China (Top 3%).

  2. Academic Scholarship Second Class: 2023-2024 at University of Electronic Science and Technology of China (Top 30%).

Useful Links

Deadlines: ccf-ddl
CCF list: ccf.atom.im