Yige Xu
PhD Candidate
Singapore
Summary
🤩
Rockstar🎓
Top SchoolYige Xu is a PhD candidate at the Computational and Cognitive Data Science (CCDS) group, Nanyang Technological University, bringing a decade of software engineering experience grounded in applied NLP and data tooling. Currently focused on doctoral research in Singapore, she combines rigorous academic training from Fudan University and Shandong University with hands-on back-end development work in open-source NLP frameworks like fastNLP, where she implemented multiple dataset loaders, preprocessing configs, and tests. Her strengths lie at the intersection of research and production: turning complex linguistic data formats into reusable, modular components that accelerate experimentation. Notably, she contributes to infrastructure-level code (loaders, config management, and test suites) that often goes unheralded but is critical for robust ML pipelines. Though not on the job market now, she remains an active contributor to reproducible NLP tooling and dataset engineering.
10 years of coding experience
Doctor of Philosophy - PhD, CCDS, Doctor of Philosophy - PhD, CCDS at 新加坡南洋理工大学Bachelor of Engineering - BE, Computer Science and Technology, Bachelor of Engineering - BE, Computer Science and Technology at 山东大学The Affiliated High School of South China Normal University 华南师范大学附属中学广东广雅中学 Guangdong Guangya High SchoolMaster of Science - MS, Computer Applied Technology, Master of Science - MS, Computer Applied Technology at 复旦大学
Chinese, English
Github Skills (6)
data-loading10
python10
text-processing10
nlp9
unit-testing9
deep-learning8
Programming languages (1)
Github contributions (5)
fastnlp/fastNLP
Jul 2018 - Dec 2020
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 285 commits, 65 PRs in 2 years 6 months
Contributions summary:Yige appears to be contributing to the fastNLP framework, focusing on the development of dataset loaders. They have implemented multiple data loaders like POSDatasetLoader, ClassficationDatasetLoader and ConllLoader, which involved defining parsing methods, and data structures. Further contributions include modifications and additions to configuration loading and preprocessing, involving creating config files and modifying existing file. They are also responsible for adding test codes for modules such as actions and loaders.
nlpbertword-embeddingsdeep-learningtext-processing
xuyige/PRML-Spring20-FDU
Apr 2020 - May 2020
Course Website for PRML Spring 2020 at Fudan University
Contributions:11 commits, 86 PRs, 93 pushes in 1 month
springcourse-websitefudanfudan-university
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