Assistant Professor

Assistant Professor, Department of Information Technology and Management (ITM)
Postdoc Scholar, Computational Science and Engineering, Georgia Institute of Technology
Ph.D., Computer Science, University of Texas at Dallas

Office:	IIT Galvin Tower #15E3-3, 10 West 35th Street, Chicago, IL 60616, USA Chicago, IL (Google Map Location)
Telephone:	Click to show
Email:	yhu89 [at] illinoistech [dot] edu

Prospective Students

I welcome motivated students who are interested in my broad research areas. If you would like to work with me, please email me your CV and a brief description of your interests, and ideally take one of my classes.

About

Dr. Yibo Hu is an Assistant Professor in the Department of Information Technology and Management, College of Computing, at Illinois Institute of Technology. His research focuses on developing efficient and trustworthy AI methods for socially important domains where predictions influence public perception, policy, or safety. His recent work includes NLP applications in global political events, misinformation and counterspeech, cybersecurity defense and deception. He also investigates the foundations of trustworthy AI, including fairness in large language models and robustness under distribution shifts.

Research Interests

• Natural language processing and data mining
• Trustworthy and robust AI
• Computational social science
• Cybersecurity and cyber deception

Selected Publications

NLP for Social and Political Applications

Yibo Hu, Erick Skorupa Parolin, Latifur Khan, Patrick T. Brandt, Javier Osorio, Vito J. D'Orazio. Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification. ACL 2024. [link]

Yibo Hu, MohammadSaleh Hosseini, Erick Skorupa Parolin, Javier Osorio, Latifur Khan, Patrick Brandt, and Vito D'Orazio. ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence. NAACL 2022. [link]

Bing He, Yibo Hu, Yeon-Chang Lee, Soyoung Oh, Gaurav Verma, Srijan Kumar. A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators. ACM TKDD 19, no. 1 (2024): 1-30 [link]

Trustworthy & Robust AI

Yibo Hu, and Latifur Khan. Uncertainty-aware reliable text classification. KDD 2021. [link]

Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, and Feng Chen. Multidimensional Uncertainty-Aware Evidential Neural Networks. AAAI 2021. [link]

Yiqiao Jin, Mohit Chandra, Gaurav Verma, Yibo Hu, Munmun De Choudhury, Srijan Kumar. Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries. WWW 2024. [link]

AI for Cybersecurity

Yibo Hu, Yu Lin, Erick Skorupa Parolin, Latifur Khan, and Kevin Hamlen. Controllable Fake Document Infilling for Cyber Deception. EMNLP 2022 (Findings). [link]

Teaching

• ITMD 524: Applied Artificial Intelligence and Deep Learning (Graduate), Illinois Tech, Fall 2025, Spring 2026
• ITMD 523: Advanced Topics in Data Management (Graduate), Illinois Tech, Spring 2026
• CSE 8803 DSN: Data Science for Social Networks (Graduate), Georgia Tech, Fall 2023