Papers
2
Total Citations
7
H-Index
2
About
Yuze Hao is a rising researcher at the intersection of computer vision, human-computer interaction, and artificial intelligence, with a focus on generating realistic 3D motion for hand-object interaction. His work addresses a critical challenge in virtual reality and robotics: producing natural, physically plausible hand movements during object manipulation. In his highly cited 2024 paper, "Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling," Hao introduced a novel framework that refines coarse grasp tracking into smooth, context-aware motion—a breakthrough for immersive VR experiences and robotic dexterity. This work has already garnered 5 citations, signaling its rapid impact. Expanding his scope, Hao co-authored the 2025 comprehensive review "Autonomous Materials Synthesis Laboratories: Integrating Artificial Intelligence with Advanced Robotics for Accelerated Discovery," which surveys how self-driving laboratories (SDLs) can slash traditional 10–20-year materials development pipelines. By bridging AI-driven synthesis with robotic automation, Hao is helping to pioneer a new paradigm of accelerated scientific discovery. His dual focus—from fine-grained hand motion to large-scale autonomous labs—demonstrates a versatile talent poised to shape both interactive technologies and materials science.
Research Focus
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Top Papers
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