Scholar
Zining Zhu
Google Scholar ID: Xr_hCJMAAAAJ
Stevens Institute of Technology
Citations & Impact
Citations
421
H-index
12
i10-index
13
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Received a paper award at NAACL; received a Top Reviewer Award at NeurIPS 2023.
Research Experience
- He is an Assistant Professor at the Department of Computer Science at the Charles V. Schaefer Jr. School of Engineering and Science at Stevens Institute of Technology, directing the Explainable and Controllable AI lab. He is affiliated with the Stevens Institute for Artificial Intelligence (SIAI) and the Center for Research Toward Advancing Financial Technologies (CRAFT). He has served as an Area Chair for NeurIPS, ICML, and an Action Editor for ACL Rolling Review.
Education
- Ph.D. from the University of Toronto and Vector Institute, advised by Dr. Frank Rudzicz
Background
- His research interests include Natural Language Processing and Explainable AI, focusing on understanding the mechanisms and abilities of AIs and incorporating these findings into controlling the AIs. His goal is to build safe, trustworthy, and efficient agentic AIs that can assist humans in discovering knowledge and better performing high-stake tasks.
Miscellany
- Will teach a new seminar course, 'Topics in Explainable Natural Language Processing,' in the 2025 Spring semester; presented a tutorial at NAACL, 'Explanation in the Era of Large Language Models'; organized a workshop at AAAI, 'Multimodal Machine Learning for Mental Healthcare'.
Co-authors