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Zining Zhu (朱子宁)
Assistant Professor, Department of Computer Science Office: Gateway North 414 Email: zzhu41@stevens.edu |
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I am an Assistant Professor at the Department of Computer Science at the Charles V. Schaefer Jr. School of Engineering and Science at the Stevens Institute of Technology. I direct the Explainable and Controllable AI lab. I’m also affiliated with the Stevens Institute for Artificial Intelligence (SIAI) and the Center for Research Toward Advancing Financial Technologies (CRAFT). Prior to joining Stevens, I received Ph.D. degree at the University of Toronto and Vector Institute, advised by Dr. Frank Rudzicz. I am broadly interested in Natural Language Processing and Explainable AI. My research involves understanding the mechanisms and abilities of AI systems, explaining them in natural languages, and incorporating the findings into controlling the AI systems. I look forward to building safe and trustworthy AIs that can assist humans better perform high-stakes tasks. I have served as an Area Chair or an Action Editor for NeurIPS, ICML, ACL Rolling Review, EMNLP and NAACL.
Recruitment
I’m looking for students to work on explainable and safe NLP and AI systems. If you are interested in working on these directions, please send me an email.
News
2024/10: I will teach a new seminar course, Topics in Explainable Natural Language Processing, in the 2025 Spring semester.
2024/06: We present a tutorial at NAACL: Explanation in the Era of Large Language Models.
2024/02: We organize a workshop at AAAI: Multimodal Machine Learning for Mental Healthcare.
2023/12: I receive a Top Reviewer Award at NeurIPS 2023.