Hanzhang ZHOU

PhD Researcher of Distributed Cognition for Social Resilience

Hanzhang is a PhD researcher at the Future Resilient Systems (FRS) within the Singapore-ETH Centre and Nanyang Technological University, specializing in the interdisciplinary study of natural language processing (NLP), information extraction, and large language models (LLM). His ongoing investigation at FRS focuses on enhancing societal resilience through the extraction of hazardous event information and the sensemaking of model decisions using NLP techniques.

Prior to his PhD research, he earned his Bachelor of Engineering degree in Electrical Engineering from Fudan University, China, in 2019. He is currently a PhD student in the interdisciplinary graduate program at NTU.

Publications

Zhou, H., & Mao, K. (2022). Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss. North American Chapter of the Association for Computational Linguistics.
Feng, Z., Zhou, H., Zhu, Z., & Mao, K. (2022). Tailored text augmentation for sentiment analysis. Expert Syst. Appl., 205, 117605.