I'm a second-year Ph.D. student in computer science at the University of Rochester advised by Prof. Jiebo Luo. My work lies in Computational Linguistics and Social Media, with a primary focus on the algorithmic and theoretical foundations for solving financial application scenario problems.


Fine-tuning Pre-trained Language Models with Noise Stability Regularization

Hang Hua Xingjian Li Dejing Dou, Cheng-Zhong Xu

Preprint. Under Reeview, 2022

Analyzing public opinion on COVID-19 through different perspectives and stages

Yuqi Gao, Hang Hua, Jiebo Luo

APSIPA Transactions on Signal and Information Processing, Cambridge University Press, 2021, pp. 1–13

Fine-Grained Event Relation Learning for Predicting What Happens Next

Shangwen Lv*, Hang Hua*, Chunyuan Yuan, Xin Wang, Songlin Hu

IJCNN, 2021

Noise Stability Regularization for Improving BERT Fine-tuning

Hang Hua, Xingjian Li, Dejing Dou, Chengzhong Xu, Jiebo Luo

NAACL-HLT, Association for Computational Linguistics, Online, 2021 Jun, pp. 3229--3241


hhua2 [at] cs [dot] rochester [dot] edu

hanghuacs [at] gmail [dot] com

Department of Computer Science

University of Rochester

Rochester, NY 14627