Yao Qiang
About
I am an Assistant Professor in the Computer Science and Engineering Department at Oakland University. I am the director of SAFE AI Lab (Secure, Aligned, Fair, and Ethical AI Research Lab). My research mainly focuses on Natural Language Processing (NLP), Large Language Models (LLMs), Trustworthy Artificial Intelligence (AI), and Machine Learning Theory and Applications. My dedication to these areas has led to the publication of numerous research papers at top AI conferences, including NeurIPS, IJCAI, AAAI, ICML, EACL, MICCAI, and IJCNN, among others. I have a strong passion for research and a demonstrated ability to apply my knowledge to real-world challenges.
Research Performance Summary
First Recorded Paper
Toward tag-free aspect based sentiment analysis: A multiple attention network approach
Year: 2020
Citations: 24
Venue: 2020 international joint conference on neural networks (ijcnn)
Latest Recorded Paper
PA-JJAMA: An LLM Based Intrusion Detection System for CAN Bus Networks
Year: 2025
Citations: 0
Venue: 2025 IEEE 22nd International Conference on Mobile Ad-Hoc and Smart Systems
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.