Hi👋, my name is Qi Zhang (张棋) I am currently a Ph.D. Candidate at Computer & Information Sciences Department of Temple University. I am fortunate to be advised by Dr. Eduard Dragut. I also closely working with Dr. Cornelia Caragea and Dr. Longin Jan Latecki.

My primary research interests are centered around Natural Language Processing (NLP), Large Language Models (LLMs) and Machine Learning (ML). Specifically, I am working on developing information extraction models under low-resource scenarios using cost-effective techniques such as weak/distant supervision, semi-supervised learning, and in-context learning.

I am/was the research assistant for several NSF funded projects, including:

• Extracting and Linking AI Artifacts
• Knowledge Graph to Support Evaluation and Development of Climate Models
• America’s Fourth Estate at Risk: A System for Mapping the (Local) Journalism Life Cycle to Rebuild the Nation’s News Trust

Selected Publications

SciER: An Entity and Relation Extraction Dataset for Datasetes, Methods, and Tasks in Scientific Documents

Qi Zhang, Zhijia Chen, Huitong Pan, Cornelia Caragea, Login Jan Latecki, Eduard Dragut

EMNLP 2024, Main

FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding

Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard Dragut, Login Jan Latecki

ECAI 2024

SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions

Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard Dragut, Login Jan Latecki

LREC-COLING 2024

DMDD: A Large-Scale Dataset for Dataset Mention Detection

Huitong Pan, Qi Zhang, Eduard Dragut, Cornelia Caragea, Login Jan Latecki

Transactions of the Association for Computational Linguistics , TACL

A novel sleep staging network based on multi-scale dual attention

Huafeng Wang, Chongang Lu, Qi Zhang, Zhimin Hu, Xiaodong Yuan, Pingshu Zhang, Wanquan Liu

Biomedical Signal Processing and Control

Full Publication List (Google Scholar)