Hanqing Wang

Ph.D. Student at Shanghai University of Finance and Economics (SUFE)

I am a fourth-year Ph.D. student at SUFE advised by Prof. Yun Chen, specializing in large language models and parameter-efficient fine-tuning. I obtained my bachelor's degree from SUFE in 2022. From September 2023 to January 2025, I worked as a research intern at THUNLP & QY Lab, under the supervision of Shuo Wang. I have published several papers in top conferences such as ACL, EMNLP, NAACL and NeurIPS.

Research Interests

Large Language Models

Parameter-Efficient Fine-Tuning

Model Compression

News

Dec 2025Awarded "Academic Star" (5 recipients/year university-wide, Highest Honor) at SUFE!
Sep 2025Awarded National Academic Scholarship!
Mar 2025One paper accepted at NAACL 2025!
Jan 2025Completed research internship at THUNLP & QY Lab.
Sep 2024Awarded First-Class Academic Scholarship at SUFE.
Sep 2024One paper accepted at NeurIPS 2024!
May 2024One paper accepted at ACL 2024!
Sep 2023Started research internship at THUNLP & QY Lab.
Oct 2023One paper accepted at Findings of EMNLP 2023!
Jun 2022Obtained bachelor's degree from SUFE.

Selected Publications

NAACL 2025

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Hanqing Wang, Yixia Li, Shuo Wang, Guanhua Chen, Yun Chen

[Paper] [Code]

NeurIPS 2024

Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models

Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun

[Paper] [Code]

ACL 2024

LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks

Hanqing Wang*, Bowen Ping*, Shuo Wang, Xu Han, Yun Chen, Zhiyuan Liu, Maosong Sun

[Paper] [Code]

EMNLP 2023

StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation

Hanqing Wang*, Yajing Luo*, Boya Xiong, Guanhua Chen, Yun Chen

[Paper]