Yifan Yang

Personable and analytical with strong foundation in machine learning principles and research methodologies. Deep understanding of statistical analysis and proficiency in Python, combined with hands-on experience in data preprocessing and model training. Ready to drive innovative solutions and contribute to groundbreaking advancements in field.

Fine-Grained Text Style Transfer Using MAML and GPT-2
Researcher | London, UK | 01, 2024 - 05, 2024

• Conducted advanced research on fine-grained text style transfer, developing techniques to modify textual style while preserving the core message, addressing challenges of data scarcity in machine learning applications.
• Integrated Model-Agnostic Meta-Learning (MAML) with GPT-2 to enable few-shot learning capabilities, allowing rapid adaptation to diverse style transfer tasks, including those not encountered during initial training.
• Leveraged the STYLEPTB dataset, selecting and annotating eight tailored subsets for implementation and evaluation of style transfer techniques.
• Performed comparative analysis with baseline GPT-2 models, demonstrating the effectiveness of combining meta-learning approaches with language models to enhance text style transfer adaptability and detail.
• Contributed to the advancement of fine-grained text style transfer methodologies, showcasing the potential for meta-learning to optimize language model performance in nuanced stylistic tasks.

Deep Learning via Video Game (DLVGs)

Project Coordinator | Ottawa, Canada | 09, 2022 – 12, 2022

• Utilized YOLO v7 neural network architecture to extract and identify game objects, subsequently developing a deep learning model to autonomously play the game.
• Led a cross-functional team to successfully complete the project within four months, overseeing task assignments and maintaining effective communication with stakeholders, including the tutor/professor.
• Structured the project into manageable stages with clear milestones to ensure seamless progress tracking.
• Allocated tasks based on individual team members’ strengths, fostering collaboration and enhancing overall efficiency.
• Designed and implemented a rotation-based strategy, enabling team members to gain holistic insights into