🧑‍💻 About Me

I am a Research Intern at the Lin Gang Laboratory, where I develop pretrained models for brain signal analysis.

🔥 News

2026.11: 💼 Joined the Lin Gang Laboratory as a Research Intern, working on pretrained models for brain signal analysis.
2026.10: 🎓 Graduated with a Master of Artificial Intelligence from Monash University.
2026.08: 📝 One paper was accepted to NLPCC 2026 (Oral).
2026.03: 🏆 Won National First Place in the Wearable Biometrics Track at the 2025 Smart Wearable and Sports Health Technology Challenge.
2025.11: 💼 Joined BioIES Lab at SUAT as a Research Intern, focusing on multimodal wearable sensing signals.
2023.08: 📝 One paper was accepted by ICEEM 2023.
2022.05: 🏆 Won First Prize in the MathorCup College Math Modeling Challenge.

Wu, Peicheng, Runze Ma, and Teoh Teik Toe. “Stacking-Enhanced Bagging Ensemble Learning for Breast Cancer Classification with CNN.” 2023 3rd International Conference on Electronic Engineering (ICEEM). IEEE, 2023. Paper Link

2026.11-Present: Lin Gang Laboratory - Research Intern
- Developing pretrained models for brain signal analysis.
2025.11-2026.10: BioIES Lab at SUAT - Research Intern
- Developed multimodal wearable device signal models.
2025.10-2026.06: Kingda Education - AI Technical Consultant
- Trained staff on AI adoption and built internal automation on Feishu.
2024.03-2026.10: Antalya Technology - AI Product Operations
- Developed the writing-feedback feature of IELTS Master and supported its early product operations.
2024.11-2025.02: Juxin Financial Consulting - Finance Intern
- Applied LLM APIs to invoice processing and reconciliation alongside routine finance and audit work.

2024.07-2026.10: Monash University - Master of Artificial Intelligence
2020.09-2024.06: Huazhong University of Science and Technology - B.Eng. in Automation