Ph.D. student at Utrecht University Email: y [dot] du [at] uu [dot] nl Address: BBG 5.05, 3584CC Utrecht, the Netherlands [Google Scholar] [CV] |
I am a fourth-year Ph.D. student at Utrecht University, advised by Dr. Dong Nguyen.
My current research interests lie within Natural Language Processing and Machine Learning
(esp. efficient and robust NLP models).
Besides, I am broadly interested in Computational Social Science.
Before joining UU, I received both my bachelor’s (Psychology, 2017) and my master’s (Computer Science, 2020, advised by Dr. Yuanbin Wu) degrees from East China Normal University.
Conference Papers
Yupei Du, Albert Gatt, and Dong Nguyen. FTFT: efficient and robust Fine-Tuning by transFerring Training dynamics. DMLR Workshop @ ICLR 2024. [pdf]
Yupei Du and Dong Nguyen. Measuring the Instability of Fine-Tuning. ACL 2023. [pdf]
Yupei Du, Qi Zheng, Yuanbin Wu, Man Lan, Yan Yang, Meirong Ma. Understanding Gender Bias in Knowledge Base Embeddings. ACL 2022. [pdf]
Yupei Du, Qixiang Fang, Dong Nguyen. Assessing the Reliability of Word Embedding Gender Bias Measures. EMNLP 2021. [pdf]
Yupei Du, Yuanbin Wu, Man Lan. Exploring Human Gender Stereotypes with Word Association Test. EMNLP 2019. [pdf]
Program Committee (2021-): ACL, EMNLP, NAACL, EACL.
Outstanding Reviewer: ACL 2022.
TA of Methods in Artificial Intelligence Research, 2020 - 2021. Utrecht University.
TA of Applications of Machine Learning, 2021 - 2024. Utrecht University (Distinguished teaching award in 2022).
TA of Human-centered Machine Learning, 2021 - 2024. Utrecht University.
TA of Transformers: Applications in Language and Communication, 2024. Utrecht University.
I instructed a lecture on "Efficient LLMs" [Slides].Applied scientist intern at Amazon.com Inc., Berlin, Germany. Nov. 2022 - May. 2023. Mentored by Prof. Dr. Ziawasch Abedjan.
Research intern at Sogou Inc., Hangzhou, China. Jul. 2019 - Jan. 2020.