About Me

I am a 3rd year Ph.D. candidate at the Hong Kong University of Science and Technology. Supervised by Prof. Wei Wang, I am working on Natural Language Processing (NLP) as well as its applications. Previously, I received a M.S. in Big Data and Technology (advised by Prof. Fangzhen Lin) from the Hong Kong University of Science and Technology in 2021 and a B.S. in Mathematics and Applied Mathematics from Shanghai University (advised by Prof. Qingwen Wang) in 2020.

(This webpage was last updated on Feb 20, 2024)

Research Interests

Instruction Tuning of Large Language Models, especially on enhancing and evaluating the capability of language models to comprehend and execute complex instructions accurately.
Contrastive Learning in NLP, focusing on leveraging contrastive learning to enhance the quality of embeddings and to enable more nuanced and context-aware language model performances.
Discourse Analysis, concentrating on the application of computational methods to understand the structure and dynamics of conversations, and how various linguistic features influence discourse in different contexts.

My publications can be found HERE.

Education

	The Hong Kong University of Science and Technology Ph.D. in Individualized Interdisciplinary Program (Data Science and Analytics) Sep. 2021 -- Jul. 2025 (Expected)
	The Hong Kong University of Science and Technology M.S. in Big Data and Technology Sep. 2020 -- Jul. 2021
	University of Cambridge Summer School in Machine Learning & Algorithms for Data Mining Jul. 2018 -- Aug. 2018
	Shanghai University B.S. in Mathematics and Applied Mathematics Sep. 2016 -- Jul. 2020

Awards

[2023] Research Travel Grant Award at HKUST
[2023] Top 3% Paper Recognition of all papers accepted at ICASSP 2023 (Top 1%)
[2021] Postgraduate Studentship at HKUST (Top 5%)
[2021] School of Engineering Excellent Student Scholarship at HKUST (Top 5%)
[2020] School of Engineering Entrance Scholarship at HKUST (Top 5%)
[2020] Outstanding Graduates of Shanghai (Top 1%)
[2019] Third Prize at Science and Technology Innovation Competition for Undergraduates (Top 10%)
[2016-2019] Grand Prize Scholarship, Leadership Scholarship, and Excellent Student at Shanghai University (Top 3%)

Talks

2023 December: EMNLP Conference on Large Language Models and the Future of NLP. Lion: Adversarial Distillation of Proprietary Large Language Models. [slides] [video]

Teaching Assistant

INFH6780: Career Development for Information Hub Students. (Spring 2024)
INFH5000: Information Science and Technology: Essentials and Trends. (Fall 2022)

Academic Service

Conference Reviewer: EMNLP’22, 23, ACL’23, ACL Rolling Review’23, 24.
Conference External Reviewer: DASFAA’21, SIGIR’22, 23, ICDE’23, NeurIPS’23.

Yuxin Jiang