Shengtao Zhang
School of Artificial Intelligence, Xi'an Jiaotong University | Undergraduate Student in AI
👋 About Me
I am Shengtao Zhang, an enthusiastic undergraduate student at Xi'an Jiaotong University, majoring in Artificial Intelligence. My passion lies in exploring cutting-edge areas such as reinforcement learning, natural language processing, and graph neural networks. I am actively involved in research, dedicated to developing innovative solutions and contributing to the AI community. I am always eager to learn and collaborate on challenging projects.
🎓 Education
Xi'an Jiaotong University, School of AI (Sep 2022 - Present)
Pursuing a Bachelor's degree in Artificial Intelligence.
- Top 5% in class (Ranked 3/75 in Year 1, 4/64 in Year 2), GPA: 91.86/100
- Core Courses: Machine Learning (97), Computer Programming (97), Information Theory (96), Digital Signal Processing (95), NLP (95)
- English Proficiency: CET-6 (590), CET-4 (627)
🔬 Research Experience
PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph (NeurIPS 2025 Submitted)
Proposed an EM-based pseudo-label optimization framework with temporal curriculum learning.
Xi'an Jiaotong University, LUD Lab | Aug 2024 - Feb 2025
- Proposed an EM-based pseudo-label optimization framework with temporal curriculum learning
- Developed a dynamic graph code framework adapted to PyG
Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection (ECML-PKDD 2025 Accepted)
Integrated multimodal data and designed a hierarchical GNN for improved spoiler detection.
Xi'an Jiaotong University, LUD Lab | Sep 2023 - Aug 2024
- Integrated multimodal data: reviews text + user bias + movie genre
- Designed a hierarchical GNN architecture
- Applied Transformer-based cross-modal attention fusion
💻 Projects
Lu Xun Style Text Transfer (NLP Course Top 1)
Developed a text style transfer system achieving top performance in NLP course.
Xi'an Jiaotong University | Jan 2025 - Feb 2025
- Model: qwen-series + LoRA fine-tuning
- Deployment: Flask backend + Html frontend
- Open-source: GitHub Repository
Intelligent Sleep Monitoring System (National IoT Competition, 1st Prize in the Northwest Regional Competition )
Engineered a non-contact system for sleep quality and posture detection.
Zhengzhou University | Jul 2024 - Sep 2024
- Developed a non-contact sleep quality and posture detection system using mmWave radar, PYNQ-Z2 camera, and sensors
- Designed two vision-based classification models: ResNet18 and a multimodal large model