Fengyi Zhou — accepted AI-conference papers

2026

GBFlow: Grouping Belief-Guided Dual Normalizing Flows for Accurate Spatial Domain Delineation

Fengyi Zhou, Daoyuan Wang, Wenlan Chen, Cheng Liang, Fei Guo

IJCAI 2026

Existing spatial domain identification methods primarily use graph neural networks to model spatial and transcriptional relationships. However, their performance is highly sensitive to noisy affinity graphs. Moreover, graph autoencoders tend to over-constrain latent representations, which limits the

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2025

Universal Online Temporal Calibration for Optimization-Based Visual-Inertial Navigation Systems

Yunfei Fan, Tianyu Zhao, Linan Guo, Chen Chen, Xin Wang, Fengyi Zhou

ICRA 2025

6-Degree of Freedom (6DoF) motion estimation with a combination of visual and inertial sensors is a growing area with numerous real-world applications. However, precise calibration of the time offset between these two sensor types is a prerequisite for accurate and robust tracking. To address this,

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