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WORK EXPERIENCE
ModiFace, Toronto, Canada | May 2023 – Dec 2023 Machine Learning Intern Conducted literature review, reproduced existing methods, and made research proposals. Proposed a novel self-supervised facial landm...…
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COURSE PROJECT
CSC2516 Neural Networks and Deep Learning | UoT | March 2023 - April 2023 Project Title: CLIP-guided Zero-Shot Text-to-Image Generation Proposed a method to perfrom zero-shot text-to-image generation bas...…
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RESEARCH EXPERIENCE
Publication: Kejia Yin, Varshanth Rao, Ruowei Jiang, Xudong Liu, Parham Aarabi, David B. Lindell, “SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estima...…
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AWARDS & LANGUAGES & SKILLS.
Awards: Beijing Institute of Technology: Second-class scholarship Third-class scholarships(5 times) Outstanding Individual Award Programming Languages: ...…
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ACADEMIC PERFORMANCE
University of Toronto: Overall GPA: 4.0/4.0 Core Courses: Introduction to Machine Learning (A+) Computational Imaging (A+) Neural Networks and Deep Learning (A+) Natural Language Compu...…
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About Me
KeJia Yin [CV]2022 MScAC studentUniversity of TorontoB.S. in Computer Science and Technology at Beijing Institute of Technology (BIT)E-mail：yinkejia@cs.toronto.eduI recently graduated from the MScAC (Master of Science in Applied Computing) student...…
KeJia Yin
ICON above was generated by DCGAN by myself :)2022 MScAC Student at University of Toronto | First Author Publication at CVPR 2024 | Actively seeking Machine Learning Researcher / Applied Researcher / Machine Learning Engineer
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