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General Information
| Full Name | Yuelyu Ji |
| Date of Birth | 9th April 1999 |
| Languages | English, Mandarin |
Education
- 2023 - 2027
PhD
University of Pittsburgh, Pittsburgh, United States
- PhD at School of Computing and Information, focusing on machine learning and natural language processing, under the supervision of Dr. Daqing He and Dr. Ye Ye.
- 2020 - 2022
Master's in Information Science
University of Pittsburgh, Pittsburgh, United States
- Graduated with a Master's in Information Science, specialized in large language models and biomedical informatics.
- 2016 - 2020
Bachelor's in Information Management
Nanjing Agricultural University, Nanjing, China
- Studied in the Information Management and Information System Department, focusing on data science and system integration.
Machine Learning Researcher
- March - August 2023
Machine Learning Intern
NetEase Cloud Music, NetEase Inc. Hangzhou, China
- Developed the Continuous Parameterization for Controlled Text Generation (CPCTG) model using large language models, enhancing user satisfaction and boosting Rouge-L scores by applying reinforcement learning techniques.
- August 2021 - Present
Graduate Student Researcher
School of Computing and Information, iRiS Lab, University of Pittsburgh, Pittsburgh, United States
- Leading the development of ReasonRank, a reranking framework that enhances interpretability in document retrieval.
- Co-authored BiasGuard, a bias detection and mitigation framework for clinical trial matching and medical question-answering tasks.
- May 2022 - Present
Research Assistant
Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, United States
- Conducted research on using Domain-Adversarial Training of Neural Networks (DANN) for predicting hospital readmission rates, improving AUROC scores to 85%.
Open Source Projects
- 2022 - present
al-folio
- Contributed to the al-folio Jekyll theme for academic websites.
Honors and Awards
- 2022
- Graduate Student Researcher Scholarship
Academic Interests
-
Natural Language Processing
- Machine learning in biomedical areas.
- Large language model deployment for clinical trial matching.
-
Transfer Learning
- Applying transfer learning in the context of EHR data.
- Improving model generalization through multi-task learning.
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Reinforcement Learning
- Using RL techniques for controlled text generation and information retrieval tasks.
Other Interests
- Marathon: Participated in the Pittsburgh Marathon.
- Hiking: Enjoy walking and trail hiking in nature reserves.