Xutian Chen

Xutian Chen

Machine Learning

πŸ‘‹ About Me

Hello! I’m Xutian Chen, a passionate researcher and engineer in the field of Artificial Intelligence and Machine Learning. I am currently pursuing my Master’s degree in Electronic Information at Beihang University, having graduated with a Bachelor’s degree in Artificial Intelligence from Jinan University.

My research interests lie in the intersection of Machine Learning, Deep Learning, Computer Vision, and Multi-Agent Path Planning. I have extensive experience in algorithm development and engineering practice with proficiency in multiple programming languages and cutting-edge technologies.

πŸ“§ Contact: chenxutian@buaa.edu.cn
πŸ”— GitHub: github.com/Blossom0913
πŸ”— Gitee: gitee.com/chenxutian

Remember brick walls let us show our dedication. They are there to separate us from the people who don’t really want to achieve their childhood dreams.

β€”β€”Randy Pausch’s last lecture

πŸ”₯ News

  • 2025.09: Β πŸŽ‰πŸŽ‰ Started Master’s program at Beihang University!
  • 2025.09: Β πŸ“’πŸ“’ Completed algorithm internship at Guangdong Institute of Intelligent Science and Technology.
  • 2025.07: Β πŸŽ“πŸŽ“ Graduated with Bachelor’s degree in Artificial Intelligence from Jinan University.

πŸ“– Education

  • 2025.09 - Present: Master of Engineering in Electronic Information, Beihang University, Beijing, China
    • Major Courses: Machine Learning, Deep Learning, Computer Vision and 15 others
  • 2021.09 - 2025.07: Bachelor of Engineering in Artificial Intelligence, Jinan University, Zhuhai, China
    • A+ Courses: Computer Network, Data Structure, Advanced Programming Language and 15 others

πŸ’Ό Working Experience

Algorithm Intern | Guangdong Institute of Intelligent Science and Technology

2025.02 - 2025.09 | Zhuhai, China

  • πŸ† Applied for 2 software copyright certificates as Top-3 co-author:
    • Logistics warehouse multi-intelligent robot path planning system
    • Lightweight tool platform based on point task management and billing tracking
  • πŸ”¬ Designed experiment framework for mouse social behavior classification using DeepLabCut to label body coordination and LightGBM compared with LSTM, CNN, GMM model performance
  • πŸ’Š Completed 43.8 million small molecules docking experiment, a large-scale computing task in drug development. Designed parallel framework and deployed on 4 RTX 2080Ti GPUs
  • πŸ“ Source code available at: Dock Repository

πŸŽ– Honors and Awards

  • 2022.06: πŸ₯ˆ National Second Prize in ASC2022 (Student Supercomputer Challenge), ranked 22nd among all participants
  • 2022.07: Attended the ASC final as visitors at USTC

πŸš€ Projects

ASC2022 Student Supercomputer Challenge

2021.11 - 2022.06 | Team Member | Zhuhai, China

  • πŸ† National Second Prize in ASC 2022, ranked 22nd among all participants
  • 🎯 Focused on DeepMD-Kit and High Performance Computing (HPC)
  • ⚑ Optimized benchmarks by parallelizing computation with CUDA, MPI, OpenMP and other tools
  • πŸ“ˆ Achieved 11% performance optimization
  • πŸ–₯️ Assisted in configuring remote servers, running environment preparations and data visualization
  • πŸ“„ Detailed work documented in: ASC Student Supercomputer Challenge Proposal

Multi-agent Path Planning

2024.03 - 2024.07 | Research Assistant | Zhuhai, China

  • πŸ’» Software developer in research group, designed and implemented message interaction models for information communication between AGV platform and local server
  • πŸ”„ Reproduced the baseline of CL-CBS, a multi-agent path planning algorithm designed by APRIL Lab of Zhejiang University
  • πŸ€– Modified and applied algorithm to simulation AGV platform: CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints
  • πŸš€ Investigated and analyzed feasibility of CL-CBS in real business scenarios, achieving 5x speed improvement over original algorithms like Hybrid A* in 3-month period

Open-Source Contributions

PlayTask - Time Management APP

Personal Project

  • πŸ“± Designed and built a time management APP from scratch
  • πŸ› οΈ Learned Version Control Systems (VCS), Event Response and basic debugging tools in Android Studio
  • 🎨 Designed UI/UX with ViewPage2, TabLayout and Fragment independently
  • πŸ“ Source code: Blossom0913/PlayTask

πŸ’» Technical Skills

Programming Languages

  • Proficient: Python, C/C++, Java
  • Experienced: Rust, Kotlin

Technical Skills

  • Development Tools: Git, SSH, Android Studio
  • High Performance Computing: CUDA, MPI, OpenMP
  • Machine Learning: TensorFlow, PyTorch, Fine-Tuning
  • Systems: Linux, Shell, Lisp
  • Other: Algorithm Design, Multi-Agent Systems, Computer Vision

πŸ“ Publications

Currently preparing manuscripts for submission. Feel free to reach out for collaboration opportunities!

οΏ½πŸ’¬ Invited Talks

Coming soon…