- 🎓 M.S. in Artificial Intelligence @ University of Auckland
- 🎓 B.S. in Computer Science @ Southwest University
- 🤖 Focus: NLP, Large Language Models, RAG Systems
- 🚀 Interested in: AI Applications, Model Optimization, Intelligent Systems
- Built a CBR-driven few-shot learning framework for MBTI personality recognition
- Designed style filtering model (RoBERTa) to enhance training data consistency
- Fine-tuned DeBERTa as embedding encoder for Case-Based Reasoning
- Integrated CoT + Self-Consistency to improve reasoning stability
- 📈 Result: Improved personality consistency and response reliability
- Developed an AI chatbot agent based on RAG architecture
- Integrated document retrieval + LLM (LLaMA / ChatGLM / GPT-4o)
- Built full pipeline: document cleaning → vector indexing → retrieval → generation
- 📈 Achieved 82% accuracy in real-world policy QA scenarios
- 💡 Application: regulatory decision support system
- Built full-stack AI system: data crawling → analysis → visualization
- Implemented BERT-based sentiment analysis on user reviews
- Developed React + Echarts dashboard for real-time insights
- 📈 Improved data accuracy via regex + cleaning pipeline
- Proposed multi-objective genetic algorithm (NSGA-II based)
- Optimized:
- Hidden Failure Rate (HF)
- Missed Removal Rate (UM)
- Artificial Pattern Rate (AP)
- Evaluated on datasets: Chess / Car / Mushroom
- 💡 Focus: Data privacy + evolutionary optimization
- 📧 Email: 836116040@qq.com & yton558@aucklanduni.ac.nz