VLDB 2026 Research / reviewers in the wild / expert
Xuechen Liu 0003
dblp:139/3108-3
· DBLP profile ↗
4ranked-venue papers
1as first author
4since 2021 · last 2025
0009-0003-7847-5604ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 4 · 1 first-author · 4 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | "Carlitos the Curious Caterpillar": Exploring Teacher-AI Co-Creation of Culturally Responsive Educational Materials for Young LearnersabstractPeer Reviewed Kunlei He, Xuechen Liu 0003, Andres S. Bustamante, Mark Warschauer |
IDC | 2 |
| 2025 | Children's Narrative Participation in Story Co-Creation with AI vs. Human Partners: Response Styles and Narrative FeaturesabstractPeer Reviewed Xuechen Liu 0003, Yuqing Xing, Youran Chen, Wenfei Pei, Jinshil Choi |
IDC | 1 |
| 2024 | Mathemyths: Leveraging Large Language Models to Teach Mathematical Language through Child-AI Co-Creative StorytellingabstractMathematical language is a cornerstone of a child’s mathematical development, and children can effectively acquire this language through storytelling with a knowledgeable and engaging partner. In this study, we leverage the recent advances in large language models to conduct free-form, creative conversations with children. Consequently, we developed Mathemyths, a joint storytelling agent that takes turns co-creating stories with children while integrating mathematical terms into the evolving narrative. This paper details our development process, illustrating how prompt-engineering can optimize LLMs for educational contexts. Through a user study involving 35 children aged 4-8 years, our results suggest that when children interacted with Mathemyths, their learning of mathematical language was comparable to those who co-created stories with a human partner. However, we observed differences in how children engaged with co-creation partners of different natures. Overall, we believe that LLM applications, like Mathemyths, offer children a unique conversational experience pertaining to focused learning objectives. Chao Zhang 0082, Xuechen Liu 0003, Katherine Ziska, Chi-Lin Yu |
CHI | 2 |
| 2023 | "Rosita Reads With My Family": Developing A Bilingual Conversational Agent to Support Parent-Child Shared ReadingabstractBilingual children have unique needs for school readiness as they navigate between two languages and cultures. A supportive home language environment, where children are frequently exposed to language through conversation and reading, can positively impact their language development and prepare them for school. However, current conversational agents and e-books designed for children do not typically take into account the cultural and linguistic needs of bilingual children and do not involve parents. This project presents the development of a bilingual conversational agent and accompanying e-book, designed to support parent-child interactions and promote language development for Latinx Spanish-English bilingual children. Results from a user study indicate that the bilingual agent effectively engages children verbally and encourages parental involvement in reading processes. The study also provides design insights for creating conversational agents for bilingual children. Kunlei He, Valery Vigil, Santiago Ojeda-Ramirez, Xuechen Liu 0003, Julian Levine, Kelsyann Cervera, Mark Warschauer |
IDC | 5 |