Resume

General Information

Full Name Di Fang (方笛)
Birth 2003-07
Languages Chinese (Mandarin), English
Email fti@mail.scut.edu.cn
GitHub fang-d
Gooogle Scholar Di Fang
MBTI ENTP-A

Education

  • 2021 - Now
    Bachelor of Engineering in Artificial Intelligence
    South China University of Technology, Guangzhou, China
    • GPA: 3.59/4.0
    • Average Score: 86.55
    • Major Courses: Python Programming (98), C++ Programming (97), Data Structures (96), Digital Image Processing (96), Machine Learning (93), Deep Learning and Computer Vision (90), AI and 3D Vision (98), Reinforcement Learning (90).
    • Scholarships
      • Second Scholarship of School (2022)
      • Third Scholarship of School (2023)
      • Scholarships of the Huameng Foundation (2022)
      • Scholarships of the e Excellence Foundation (2023)

Skills

Programming Familiar with Python, C, C++, CMake, OpenCV, and CUDA. Experienced in distributed AI programming.
AI Familiar with large models and popular ML, DL, and RL algorithms. Research experience in continual learning.
Generative Models Familiar with deploying and fine-tuning LLMs and VLMs with PyTorch and Transformers.
Digital System Design Familiar with FPGA, STM32, and ESP32 programming. Familiar with edged AI deployment.
Linux Experienced in Linux multi-GPUs server maintenance. Familiar with Docker and Linux programming.
Collaboration Familiar with Microsoft Office, LaTeX, Markdown, and Git. Contributor of several open-source projects.

Experience

  • 2023-06 - Now
    Machine Intelligence & Advanced Adaptation Laboratory
    Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, China
    • Supervisior: Dr. Huiping Zhuang
    • Propose online continual learning algorithms for imbalanced datasets, reaching SOTA performance.
    • Use self-supervised contrastive learning and knowledge distillation to improve class-incremental learning (CIL).
    • Propose an online continual learning approach equivalent to joint training in the generalized CIL scenarios.
    • Participate in the national innovation training program: Embodied Intelligent Robots Based on Large Language Models.
  • 2022-12 - 2024-07
    RobotIC Robots Lab
    School of Future Technology, South China University of Technology, China
  • 2021-11 - 2023-01
    ACM-ICPC Training Team of SCUT
    School of Software Engineering, South China University of Technology, China
    • Regional first prize in the "Lanqiao Cup" Programming Contest. Question maker of the "Alibaba Cloud Cup" contest.
  • 2021-07
    Shenzhen Dazhi Wujiang Technology Co., Ltd.
    Shenzhen, China
    • Teaching assistant for primary school students on robot production, CAD, laser cutting, and 3D printing.
    • Participate in designing and optimizing the teaching process based on students' feedback and teaching experience.

Other Rewards

Modeling First Prize in the CUMCM (Guangdong), Honorable Mention Reward in the MCM.
Open-source project
Volunteer Volunteering for 100 hours. Be awarded the "One Star Volunteer".