Han Zhou

PhD student in NLP

University of Cambridge

Biography

I am a first-year PhD student in Computation, Cognition, ang Language (NLP) at Language and Technology Lab and a member of Downing College, University of Cambridge. I am supervised by Dr Ivan Vulic and Prof Anna Korhonen.

Before starting my PhD, I was an undergraduate student reading Engineering Science at St Hilda’s College, University of Oxford. I received my second Master degree in MSc Machine Learning, University College London. I graduated top of my class.

My current research interests are efficient NLP. I am always exploring for more modular, parameter-efficient, and transferable approaches in the field of ML.

Recent News

May 2023: Attended EACL 2023 in-person. Great to meet everyone in Dubrovnik.
Apr 2023: Paper accepted at IJCAI 2023.
Apr 2023: Will start as Student Researcher in Google.
Feb 2023: I am reviewing for ACL 2023.
Jan 2023: Paper accepted at EACL 2023.
Oct 2022: I am reviewing for EMNLP 2022.
Oct 2022: Start my PhD at LTL.

Interests

Parameter-Efficient Fine-Tuning
Prompt Learning and Optimisation
Large Language Models
Multi-Lingual Dialogs
Multi-Modal Learning

Education

PhD in Computation, Cognition, and Language, Oct 2022 -

University of Cambridge
MSc in Machine Learning, 2020 - 2021

University College London
BA, MEng in Engineering Science, 2015 - 2019

University of Oxford

Selected Publications

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Han Zhou, Xingchen Wan, Ivan Vulić, Anna Korhonen (2023). AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning. arXiv:2301.12132.

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Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Jie Yang (2022). GreenLLM: Cross-Lingual Transfer of Monolingual Large Language Models at Almost No Cost. IJCAI 2023.

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Han Zhou, Ignacio Iacobacci, Pasquale Minervini (2022). XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking. EACL 2023.

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