Nanyang Ye

Learning Primitive Embodied World Models: Towards Scalable Robotic Learning

Hierarchical Parametrization with Gaussian Process for Bayesian Meta-Learning

Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery

CortexVLA: Bridging the Gap between Cognition and Action via Function Calling

Unleashing SNNs in Object Detection with Time-Evolving Neuron and Dual-Stream Spiking Attention

Tri-Agent Driving: Learning to Coordinate Agents via Scenario Complexity Representation for Efficient Autonomous Driving

Bridging the Perception Gap: Probe-Guided Data Optimization Framework for Robotic Imitation Learning

FailGuard: An OoD-Simulation Approach for Proactive Failure Detection in Visuomotor Policy Learning

Less is More: an Attention-free Sequence Prediction Modeling for Offline Embodied Learning

Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning

Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models

$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization

FCVL: Fourier Cross-View Learning for Generalizable 3D Object Detection in Bird’s Eye View

Probabilistic Feature Smoothed Gaussian Process For Imbalanced Regression