Assistant Professor

Assistant Professor, Department of Information Technology and Management (ITM)[Picture of [YourName]
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
(Google Map Location)
Office Hour: Thursday 2-4pm
Telephone: Click to show
Email: yhu89 [at] illinoistech [dot] edu
LinkedIn: View [Your Name]'s profile on LinkedIn

👉 Prospective Students Summer research openings are available for strong Illinois Tech master’s students and select visiting or remote students. PhD admissions for the current cycle are closed. See more details →

About

Dr. Yibo Hu is an Assistant Professor in the Department of Information Technology and Management, College of Computing, at Illinois Institute of Technology. Before joining IIT, he was a Postdoctoral Scholar in the School of Computational Science and Engineering at the Georgia Institute of Technology.

He studies how data-driven systems perform in real-world, socially important settings where automated predictions can affect information quality, public understanding, and human well-being. His research focuses on robustness under distribution shift, uncertainty, and real-world noise, particularly in domains involving complex online and public-interest information environments.

News

  • Summer 2026: Selective summer research openings are available for publication-oriented projects in reliable data-driven systems, language technologies, multi-agent social behavior, and computational social science. [details] [group]
  • Jun 2026: Our recent work Easier to Mislead Than to Correct: Harmful and Beneficial Revision in LLM Conformity is now available as a preprint. [link]
  • May 2026: Students working with my group completed several manuscripts within their first semester of research involvement, including projects on health-related question answering, political event coding, and content moderation workflows. [recent manuscripts]

Research Areas

Robustness and Uncertainty in Data-Driven Systems

  • Distribution shift and out-of-distribution generalization
  • Uncertainty quantification and calibration

Data Science for Public-Interest Applications

  • Political and social information systems
  • Health-related and other applied information settings

Emerging: Collaborative decision-making, social dynamics, and reliability

Selected Publications

Recent Manuscripts and Preprints

Jiaming Qu, Lucheng Fu, and Yibo Hu. Easier to Mislead Than to Correct: Harmful and Beneficial Revision in LLM Conformity. Preprint, 2026. [link]

Maroof Kousar and Yibo Hu. Can I Take Another Dose? Evaluating LLM Decision-Making Under Temporal Uncertainty in OTC Dosing. Preprint, 2026. [link]

Zixuan He, Bharath Raahul Murugesan, Patrick T. Brandt, and Yibo Hu. When Better Codebooks Are Not Enough: Predictive Performance and Behavioral Reliability in LLM Political Event Coding. Preprint, 2026.

Suraj Babu Thimma Krishnaram, Yibo Hu, and Karthikeyan Saravanan. When Surface Form Changes Moderation Decisions: A Paired Study of Code-Mixed Workflow Instability. Preprint, 2026.

Reliable and Robust Data-Driven Methods

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]

Information Analysis in Social and Public Contexts

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]

Group

I work with students on data-driven methods, information analysis, and the reliability of computational systems. Current and recent student projects include health-related question answering, political event coding, content moderation workflow reliability, subtype robustness and calibration, and multi-agent social behavior. Please see the Group page for current students and group activities, or the Prospective Students page for information about research opportunities.

Teaching

  • ITMD 526: Data Warehousing (Graduate), Illinois Tech, Fall 2026
  • 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

Service

Editorial Roles

  • Co-Editor, Graph-Based Retrieval-Augmented Generation Systems, Frontiers in Big Data (2025-2026) [link]

Program Committee & Reviewing

  • ACL (2023-), EMNLP (2022-), NAACL (2024-), WWW (2024-)
  • IJCAI (Distinguished PC Member, 2023), KDD (2020-)
  • SDM (2022-), DASFAA (2023), IJCNN (2024), DSAA (2025)
  • Data4SoftSec 2026 (Workshop on Datasets for Software Security @ IEEE S&P)