I am a PhD candidate in Computational Linguistics at Stony Brook University (since Fall 2022) and a junior researcher of the Institute for Advanced Computational Science (IACS). I am lucky to be advised by Dr. Owen Rambow.
Over years, I have worked on projects that study actual language use at large scale, data augmentation, text clustering, explainable AI, and LLM evaluation. I am currently working on the evaluation of Large Language Models (LLMs) with a human-centric perspective. I consider myself as a lifelong learner.
Bio
I was born and raised in Fuqing, a small southeastern town of China. Prior to coming to Stony Brook, I completed a bachelor's degree in Chinese Language and Literature from Hunan University, and a master's degree in Applied linguistics from University of Saskatchewan.
I did my very first industry internship at the Home Depot as a Data Science intern in summer 2024.
CV
Here is my Curriculum Vitae.
Research
For a full and up-to-date list of publications, please check my Google Scholar page.
Clustering Document Parts: Detecting and Characterizing Influence Campaigns from Documents
Zhengxiang Wang, Owen Rambow,
the 6th workshop on NLP+CSS at NAACL 2024
Learning Transductions and Alignments with RNN Seq2seq models
Zhengxiang Wang, ICGI 2023
Developing literature review writing skills through an online writing tutorial series: Corpus-based evidence
Zhi Li, Makarova Veronika, Zhengxiang Wang, Frontiers in Communication, 2023
Random Text Perturbations Work, but not Always
Zhengxiang Wang, AACL-IJCNLP 2022 Workshop Eval4NLP
Thirty-Two Years of IEEE VIS: Authors, Fields of Study and Citations
Hongtao Hao, Yumian Cui, Zhengxiang Wang, Yea-Seul Kim,
IEEE Transactions on Visualization and Computer Graphics, 2022
Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching
Zhengxiang Wang, ICNLSP 2022
