I am Yongjie Liu (刘勇杰), an undergraduate student majoring in Artificial Intelligence at Southwestern University of Finance and Economics (SWUFE). My research interests focus on Graph Neural Networks (GNNs), particularly on deep training stability, oversmoothing mitigation, and spectral graph theory for Graph Convolutional Networks (GCNs).
Email: yjliu.swufe@outlook.com
🔥 News
- 2026.05: 🎉🎉 Our project StableGuard was selected as a finalist in the 2026 Citi Cup Financial Innovation Competition!
- 2025.06: 🏆 Won the Global Champion (Team Leader) at the 2025 TE AI CUP!
- 2024.12: 🎖 Elected as President of the SWUFE Supercomputing Association.
📝 Publications
⌛️Coming soon….
🎖 Honors and Awards
- 2026.05 Finalist, 2026 Citi Cup Financial Innovation Application Competition, National Level
- 2026.04 Second Prize (Team) & Third Prize (Individual), 2026 CCCC-GPLT Group Programming Ladder Contest, National Level
- 2025.11 Second Prize, 2025 AIC Global Campus Artificial Intelligence Algorithm Elite Competition, Provincial Level
- 2025.06 Global Champion (Team Leader), 2025 TE AI CUP (Industry-University Collaboration), Global Competition
- 2025.05 Silver Medal, 2025 ICPC Sichuan Provincial Programming Contest, Provincial Level
- 2025.05 Bronze Medal, 2025 CCPC Chongqing Programming Contest, Provincial Level
- 2025.04 Second Prize (Team), 2025 CCCC-GPLT Group Programming Ladder Contest, National Level
- 2024.05 Bronze Medal, 2024 ICPC Sichuan Provincial Programming Contest, Provincial Level
- 2023-2025 Scientific Research & Innovation Scholarship (3 consecutive years), SWUFE
📖 Educations
- 2023.09 - 2027.06 (expected), B.Eng. in Artificial Intelligence, Southwestern University of Finance and Economics (SWUFE), Chengdu, China
- Key Courses: Machine Learning (92), Discrete Mathematics (91), Graph Theory (91), Matrix Analysis
💻 Projects & Internships
- 2025.09 - Present, StableGuard: Stablecoin Digital Resilience Stress Testing Platform Based on Generative AI
- Core member. Built a high-fidelity stablecoin market stress testing environment based on multi-agent collaboration, simulating interactions among issuers, market makers, and arbitrageurs.
- Selected as a finalist in the 2026 Citi Cup Financial Innovation Competition.
- 2025.06 - Present, Xinyu Ling: NPU-accelerated Sign Language Recognition System
- Core member. Completed model compression, operator adaptation, and NPU accelerated deployment on edge devices, achieving faster recognition speed and lower deployment cost.
- Awarded the 2025 National Undergraduate Innovation and Entrepreneurship Training Program.
- 2024.11 - 2025.06, Edge-deployed Defect Detection Recognition System
- Team leader. Deployed defect detection models to edge devices with NPU acceleration, achieving higher detection efficiency and lower cost while maintaining accuracy.
- Global Champion at the 2025 TE AI CUP (Industry-University Collaboration).
- 2024.06 - 2025.11, IPU-based Financial Anomaly Detection System
- Team leader. Conducted heterogeneous acceleration and parallelization design for traditional financial anomaly detection algorithms (e.g., FlowScope) based on IPU, significantly improving runtime speed and processing efficiency.
- Awarded the 2024 National Undergraduate Innovation and Entrepreneurship Training Program.
🏛 Campus Experience
- 2024.12 - Present, President, SWUFE Supercomputing Association
- 2024.05 - Present, Programming Department, SWUFE Singularity Studio