About Me
I am a junior undergraduate student majoring in Computer Science at Shanghai Jiao Tong University (SJTU), China. My research focuses on trajectory forecasting and motion planning for autonomous driving, with a particular interest in learning-based methods and human-robot interaction.
Education
- Shanghai Jiao Tong University - Bachelor of Science in Computer Science (Expected June 2026)
- Overall GPA: 3.97/4.3 (Top 10% in CS)
- Relevant Coursework: Data Structures, Machine Learning, Computer System Architecture, Modern Operating Systems
Experience
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Undergraduate Researcher - ReThinkLab, SJTU (June 2024 – Present)
- Conducting research on trajectory forecasting and motion planning for autonomous driving.
- Developing learning-based models to improve efficiency in motion prediction.
Projects
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Jittor Autonomous Driving (JAD) - June 2024 – August 2024
- Contributed to an open-source autonomous driving framework based on the Jittor deep learning library.
- Developed the Jittor-compatible version of MMCV and implemented BEVFormer and UniAD.
- Project repository: github.com/Jittor/JAD
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Efficient Trajectory Forecasting - Ongoing
- Applying knowledge distillation and sparse methods to optimize BEV-based prediction.
Technical Skills
- Programming: Python (Proficient), C++ (Experienced)
- Deep Learning: PyTorch
- Autonomous Driving: Trajectory forecasting, motion prediction (nuScenes, CARLA)
- Tools: Git, LaTeX, Linux
- Languages: Chinese (Native), English (Fluent, TOEFL: 109/120)
Awards and Honors
- National Scholarship (2022-2023, Top 1% Undergraduate Students)
- Huawei Scholarship (2023-2024)