Research
- Institution: Apex Lab, Shanghai Jiao Tong University
- Advisor: Weinan Zhang, Yong Yu
- Project: CodeMate
- Contributions:
- AI Tutoring Platform: Led the development of CodeMate, an AI tutoring platform designed for task-based teaching in C++ courses, promoting personalized learning.
- Educational Experimentation: Conducted large-scale experiments involving over 1,500 students, collecting data to refine teaching methods and platform functionalities.
- Learning Pattern Analysis: Researched habitual learning patterns in AI-assisted education, providing insights for broader implementation of CodeMate.

- Institution: Apex Lab, Shanghai Jiao Tong University
- Advisors: Weinan Zhang, Jun Wang
- Contributions:
- Benchmarking Code Reasoning: Created coding datasets and established annotation criteria to enhance benchmarking for code reasoning tasks.
- PRM Enhancements: Improved the probabilistic roadmap method (PRM) for better training and search algorithm efficiency, enhancing LLM-based reasoning capabilities.

Textile Vision Project
- Institution: SJTU Multimedia Lab, Shanghai Jiao Tong University
- Advisor: Xiaohong Liu
- Funding: Eastyle Textile Group
- Contributions:
- Pattern-based Restoration: Developed algorithms for restoring patterns in single-layer textile manufacturing, improving production accuracy.
- Multi-Media Model: Designed and trained a multi-media model to streamline textile production, providing an end-to-end solution for various textile processes.
- 3D Reconstruction (Pending): Contributed to the planning and initial development stages of a 3D reconstruction tool for multi-layer textiles, aimed at museology demonstrations.
- Institution: Honda & Chang’an University
- Contributions:
- Multi-Modal Integration: Developed a multi-modal model combining Lidar, visual, and text data for enhanced driving Q&A and loop recognition.
- Benchmarking Framework: Benchmarked the performance of the integrated datasets, improving the model’s robustness in various navigation scenarios.
- Presentation Delivery: Delivered key findings at TRB conferences, contributing to the advancement of hybrid vision navigation technologies.
Mitigating Bias in Minority Languages
- Institution: NLP Lab, Columbia University
- Contributions:
- Phonological Augmentation: Applied innovative phonological techniques to reduce bias in African American English (AAE) within NLP systems.
- Emotion Classification: Conducted a specialized study on emotion classification, focusing on the expression of grief in minority languages, enhancing the inclusivity of sentiment analysis models.
AI & Language Education
- Institution: AL-TESOL LT Research Group, Columbia University
- Advisors: Nguyen Hoa, Erik Voss
- Event: AL-TESOL Open House 2023
- Contributions:
- Auto-Assessment Tool: Designed a tool for automated evaluation of writing tasks, improving feedback accuracy and consistency.
- Systematic Review: Conducted an in-depth review of AI applications in language learning, identifying gaps and opportunities for future research.
- Corpus Development: Built a corpus using Automatic Speech Recognition (ASR) systems to support second-language learners, enhancing data availability for linguistic research.