Shucheng Li
Doctoral Student at Department of Computer Science, University of Oxford
Oxford, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolShucheng Li is a DPhil candidate in Computer Science at Oxford, with an MMath (1st Class) and eight years of experience at the intersection of probability, information theory, differential geometry and machine learning. Their current research focuses on flow matching and diffusion models with applications in registration, denoising and trajectory inference, supervised by Prof. Michael Bronstein. Prior internships include work on optimal transport in Oxford Mathematics and investigations into differential privacy and robustness in Engineering Science, reflecting a blend of rigorous theory and applied problem-solving. As a contributor to graph4nlp, they built and refactored constituency-tree based graph constructions for NLP pipelines, showing practical experience in graph-based infrastructure and data preprocessing. They have a track record of teaching and science outreach—from private tutoring that raised student outcomes to public engagement as an Oxford Math Ambassador—indicating strong communication skills alongside technical depth. Based in Oxford, Shucheng is also interested in AI safety and translating theoretical advances into scientific research tools.
8 years of coding experience
Master of Mathematics (MMath) Mathematics, Master of Mathematics (MMath) Mathematics at University of OxfordHigh School Diploma, High School Diploma at High School Affiliated to Fudan University
Github Skills (6)
pytorch10
deep-learning10
graph-neural-network10
python10
natural-language-processing10
networkx9
Programming languages (3)
Github contributions (5)
graph4ai/graph4nlp
Jul 2020 - Dec 2022
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:334 commits, 41 PRs, 34 pushes in 2 years 5 months
Contributions summary:Shucheng completed the construction of a constituency tree and integrated it into the project to merge a paragraph into a merged networkx graph, reflecting contributions towards graph-based NLP. They also refactored the constituency graph construction by adding vocabulary expansion, indicating a focus on data preprocessing. The commits demonstrate development efforts centered around graph construction and potentially data processing techniques used in the natural language processing pipeline, showing a focus on implementing core infrastructure functionality within the project's objectives.
nlppytorchindexdeep-learningvisit
schenglee/EMNLP2020-Graph2Tree
Sep 2020 - Jun 2021
Contributions:4 pushes, 1 branch in 8 months
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