most citedDesignFromX: Empowering Consumer-Driven Design Space Exploration through Feature Composition of Referenced Products

16 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

AgentSchool: An LLM-Powered Multi-Agent Simulation for Education

Yulei Ye, Wenhao Li, Zhong Wen +23

Despite the rapid deployment of LLMs into classrooms, validating educational AI remains uniquely intractable: interventions act on developing learners whose cognitive and social tr…

cs.CL2026

TacoMAS: Test-Time Co-Evolution of Topology and Capability in LLM-based Multi-Agent Systems

Chen Xu, Yicheng Hu, Ruizi Wang +4

Multi-agent systems (MAS) have emerged as a promising paradigm for solving complex tasks. Recent work has explored self-evolving MAS that automatically optimize agent capabilities…

cs.HC2025

Canvas3D: Empowering Precise Spatial Control for Image Generation with Constraints from a 3D Virtual Canvas

Runlin Duan, Yuzhao Chen, Rahul Jain +3

Generative AI (GenAI) has significantly advanced the ease and flexibility of image creation. However, it remains a challenge to precisely control spatial compositions, including ob…

cs.HC2025★ 16 cited

DesignFromX: Empowering Consumer-Driven Design Space Exploration through Feature Composition of Referenced Products

Runlin Duan, Chenfei Zhu, Yuzhao Chen +3

Industrial products are designed to satisfy the needs of consumers. The rise of generative artificial intelligence (GenAI) enables consumers to easily modify a product by prompting…

cs.HC2025

Investigating Creativity in Humans and Generative AI Through Circles Exercises

Runlin Duan, Shao-Kang Hsia, Yuzhao Chen +3

Generative AI (GenAI) is transforming the creativity process. However, as presented in this paper, GenAI encounters "narrow creativity" barriers. We observe that both humans and Ge…