personal photo


Contact

liu.ho at utexas dot edu
1616 Guadalupe St., 5.520, Austin, TX, 78701

Lab & Affiliation

Research group:
AI & Human-Centered Computing

Associated research community:
UT NLP | Good System Mis/disinformation |
UT CosmicAI Institute

Hi, My name is Houjiang Liu ("Whole-jyahng Lyoo"), a doctoral candidate (2021 to present) at the School of Information, UT Austin. Currently, I am advised by professor Matthew Lease in the research group AI & Human-Centered Computing. My broad research interest focuses on Human-Centered AI and Design Research, with an emphasis on integrating human-centered principles into AI system design.

Previously, I was a design researcher in Center for Design at the Northeastern University, advised by professor Miso Kim on designing services grounded in autonomy and Paolo Ciuccarelli on visualizing interactive network graphs. I was also a part-time lecturer teaching Interaction Design in CAMD at Northeastern. Before my academic career, I was an Interaction Designer, working at JD.com (Beijing) and SeetaTech AI (Beijing).


Research Highlights

One central research focus is designing human-centered AI tools to protect information integrity. By collaborating with diverse stakeholders, such as journalists, fact-checkers, and the public, I help combat mis/disinformation and foster informed public discourse:

My recent research interest expands to AI-accelerated scientific discovery, investigating how using LLMs and agents might influence different research activities:

My earlier work mainly focuses on service design for older adults:


Updates

[03.2025] Honored to receive the UT Graduate Continuing Fellowship.

[02.2025] Our work on Exploring multidimensional checkworthiness is accepted at CSCW25. I will present the work at iSchools Doctoral Seminar Series in August.

[01.2025] Successfully pass qualifying procedure and enter candidacy. Paper about Rhetorical XAI is uploaded arxiv25.

[11.2024] Our work on LLM multi-persona debates to reduce confirmation bias is presented at iSchool AI Showcase.

[11.2024] Our co-design paper on Human-centered NLP Fact-checking using Matchmaking for AI has been awarded honorable mention (top 4% submitted paper) at CSCW24.