Liangyan Gui

Liangyan Gui is a Research Assistant Professor at the University of Illinois at Urbana-Champaign, affiliated with the Department of Computer Science within the College of Engineering. His research focuses on cutting-edge topics in Artificial Intelligence, particularly in computer vision, 3D modeling, human motion prediction, and robotics. He teaches courses such as CS 446 (Machine Learning) and CS 598 GUI (Efficient & Predictive Vision).

Gui's research interests span 3D scene understanding, human-object interaction, and generative models. He explores AI-driven solutions for tasks like motion editing, physics-based simulation, and multimodal reasoning. His work bridges computer vision and robotics, with applications in 3D reconstruction, animation, and AI for dynamic environments.

Recent publications highlight advancements in 3D photo editing, human-object interaction generation, and self-supervised learning. His research often integrates textual inputs with visual data to enhance AI systems' capabilities in reasoning and generation.

Gui has been involved in initiatives such as the AICE Center grants (as part of a team), though specific grant details are not explicitly attributed to him in the provided text. His contributions extend to foundational AI models and their practical implementations in real-world scenarios.