Haibin Huang

Kuaishou (China), Guilin University of Electronic Technology

Papers

Total Citations

H-Index

About

Haibin Huang is a leading researcher in 3D scene synthesis and multi-sensor fusion for robotics, whose work bridges computer graphics and autonomous navigation. His most impactful contribution, "Scene Synthesis via Uncertainty-Driven Attribute Synchronization" (2021, 31 citations), tackles the fundamental challenge of generating realistic 3D scenes using deep neural networks. This work has immediate applications in architectural CAD, computer graphics, and virtual robot training environments, addressing the complex task of synthesizing diverse spatial patterns. Huang’s research directly enables more efficient design and simulation pipelines. In the domain of robotics, his 2024 paper on "Multi-Sensor Fusion for Wheel-Inertial-Visual Systems" introduces a novel Fuzzy Inference System within a Wheel-Inertial-Visual Odometry framework, significantly improving 6-DoF localization accuracy for indoor mobile robots. This work solves the persistent odometry drift problem, enhancing robot reliability in unstructured environments. With a growing citation record that underscores the practical relevance of his methods, Huang is recognized for advancing neural synthesis and sensor fusion, making him a key figure in developing intelligent systems for both virtual and physical worlds.