by Runlin Duan | Apr 13, 2026 | 2026, Chenfei Zhu, Dizhi Ma, Karthik Ramani, Runlin Duan, Xiyun Hu, Yuzhao Chen, Ziyi Liu
Parametric modeling is a prevailing 3D modeling approach in design, architecture, and engineering. The emergence of multimodal large language models (LLMs) brings a new opportunity to lower the entry barriers to this powerful tool. However, describing 3D geometries...
by Ziyi Liu | Apr 13, 2026 | 2026, Karthik Ramani, Runlin Duan, Xiyun Hu, Yuzhao Chen, Zhengzhe Zhu, Ziyi Liu
Real-time handwriting interactions between tutors and students —where tutors observe individual problem-solving processes, provide personalized annotations, and adapt explanations based on students’ work—are fundamental to effective STEM tutoring. However, scaling...
by Yuzhao Chen | Mar 23, 2026 | 2026, Chenfei Zhu, Jingyu Shi, Karthik Ramani, Rahul Jain, Runlin Duan, Yuzhao Chen
Generative AI (GenAI) has significantly advanced the ease and flexibility of image creation. However, it remains a challenge to precisely control spatial compositions, including object arrangement and scene conditions. To bridge this gap, we propose Canvas3D, an...
by Runlin Duan | Jan 1, 2026 | 2026, Jingyu Shi, Karthik Ramani, Rahul Jain, Runlin Duan, Yuzhao Chen
Large language models (LLMs) are capable of generating cross-domain design knowledge, opening up new possibilities for creating a myriad of design concepts for early-stage design ideation. However, the current chat-based interface fails to represent the complexity of...
by Runlin Duan | Jul 5, 2025 | 2025, Chenfei Zhu, Karthik Ramani, Recent Publications, Runlin Duan, Yuzhao Chen
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 a generative model, opening up opportunities to incorporate consumers in exploring the...
