Hanqing Wang

I am a third-year Ph.D. student at Shanghai University of Finance and Economics (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.

Selected Publications

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

Hanqing Wang, Yixia Li, Shuo Wang, Guanhua Chen, Yun Chen. NAACL 2025 [Paper] [Code]

[2] 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. NeurIPS 2024 [Paper] [Code]

[3] 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. ACL 2024 [Paper] [Code]

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

Hanqing Wang, Yajing Luo, Boya Xiong, Guanhua Chen, Yun Chen. Findings of EMNLP 2023 [Paper]