Shipeng Chen

I am Shipeng Chen (陈诗鹏 in Chinese), an undergraduate student majoring in Computer Science at Northwestern Polytechnical University (NWPU). I am expected to graduate in 2026. My research interests primarily focus on Machine Learning Systems, with a particular emphasis on efficient machine learning techniques. I am deeply interested in LLM quantization and acceleration methods to improve the efficiency and deployment of large language models.

My academic journey is driven by a passion for developing systems that can make advanced AI models more accessible and practical for real-world applications. I believe that by optimizing these models, we can bridge the gap between cutting-edge research and widespread adoption.

Feel free to contact me at [email protected] if you’d like to discuss research opportunities or collaboration in these areas!

Research Interests

• Machine Learning Systems (MLSys)
• Efficient Machine Learning
• LLM Quantization and Acceleration
• Deep Learning Optimization

Education

Northwestern Polytechnical University (NWPU)

B.Eng. in Computer Science, 2022 - 2026 (expected)

Experiences

University of Alberta

Research Intern, 2024.7 - 2024.9

Worked on 3D vision research focused on semantic analysis and recognition of traffic road point clouds, and generating textual descriptions of the scenes.

Skills

• Programming Languages: Python, C/C++, CUDA
• Frameworks: PyTorch
• Tools: Git, Docker, Linux