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Profil bibliographique

Guyue Zhou

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

157Publications signalées
1259Citations signalées
3Affiliations récentes

Les institutions déclarées

Les domaines associés

Robotics and Sensor-Based LocalizationAdvanced Vision and ImagingAdvanced Neural Network Applications3D Shape Modeling and AnalysisHuman Pose and Action Recognition

Les publications récentes

Accès ouvert 2026 conference-paper OpenAlex

xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing

Haoyi Niu, Q. Chen, Jianxiong Li, Guyue Zhou et autres

Reusing cross-domain data is vital for decision-making tasks with limited target data, yet existing methods often rely on complex, inflexible model-level designs. To address this, we propose the Cross-Domain Trajectory EDiting (xTED) framework, which bridges domain gaps directly at the data level. …

cn (code pays fourni par la source)

1 citation
2026 article OpenAlex

Comparison of Passive Shimming Strategies: Overall versus Odd-Even Shim Tray Operation in a 3T Animal MRI Superconducting Magnet

Haotian Miao, Wenchen Wang, Guyue Zhou, Shunzhong Chen et autres

The image quality and spectral accuracy of magnetic resonance imaging (MRI) are highly dependent on the homogeneity of the static magnetic field (B0). In compact 3 T animal MRI systems, susceptibility effects and geometric constraints tend to amplify magnetic field distortions, making …

cn, au (code pays fourni par la source)

0 citations IEEE Transactions on Applied Superconductivity
Accès ouvert 2026 data-paper OpenAlex

An EEG dataset for understanding driving expertise from naturalistic urban road experiments

Jiangtao Gong, Yueteng Yu, Yancheng Cao, Ruoxuan Yang et autres

Modern autonomous driving algorithms in complex urban environments strive for safety, comfort, and intelligence, qualities exemplified by expert drivers. This paper presents a comprehensive EEG dataset comparing 10 expert and 10 novice drivers in 13 naturalistic urban driving conditions on a fixed …

cn, au, hk (code pays fourni par la source)

0 citations Scientific Data
Accès ouvert 2026 preprint OpenAlex

A 26-Gram Tailless Butterfly-Inspired Flapping-Wing Robot with Onboard Attitude Control

Weibin Gu, Chenrui Feng, Lian Liu, Chen Yang et autres

Butterfly-inspired flapping-wing robots use broad compliant wings and low-frequency actuation, but pronounced wingbeat-synchronous body dynamics and time-varying inertia complicate onboard control. Here, we introduce AirPulse, a 26 g two-winged tailless flapping-wing robot with integrated venation-inspired wings, sensing, computation, and power, representing the …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

A 26-Gram Tailless Butterfly-Inspired Flapping-Wing Robot with Onboard Attitude Control

Weibin Gu, Chenrui Feng, Lian Liu, Chen Yang et autres

Butterfly-inspired flapping-wing robots use broad compliant wings and low-frequency actuation, but pronounced wingbeat-synchronous body dynamics and time-varying inertia complicate onboard control. Here, we introduce AirPulse, a 26 g two-winged tailless flapping-wing robot with integrated venation-inspired wings, sensing, computation, and power, representing the …

0 citations arXiv (Cornell University)
2025 conference-paper OpenAlex

TopoDiffuser: A Diffusion-Based Multimodal Trajectory Prediction Model with Topometric Maps

Zehui Xu, Junhui Wang, Yongliang Shi, Chong Gao et autres

This paper introduces TopoDiffuser, a diffusion-based framework for multimodal trajectory prediction that incorporates topometric maps to generate accurate, diverse, and road-compliant future motion forecasts. By embedding structural cues from topometric maps into the denoising process of a conditional diffusion model, the proposed …

cn (code pays fourni par la source)

0 citations
2025 conference-paper OpenAlex

DISCOVERSE: Efficient Robot Simulation in Complex High-Fidelity Environments

Yufei Jia, Guangyu Wang, Yuhang Dong, Jinfu Wu et autres

We present Discoverse, the first unified, modular, open-source 3DGS-based simulation framework for Real2Sim2Real robot learning. It features a holistic Real2Sim pipeline that synthesizes hyper-realistic geometry and appearance of complex real-world scenarios, paving the way for analyzing and bridging the Sim2Real gap. Powered …

cn, us (code pays fourni par la source)

2 citations

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