Yunbo Wang

NeoWorld: Neural Simulation of Explorable Virtual Worlds via Progressive 3D Unfolding

ReAugment: Learning to Augment Few-Shot Time Series with Model Zoo Guidance

FOCUS: High-Dimensional Model-Based RL via Focused Control Unit Sampling

Open-World Reinforcement Learning over Long Short-Term Imagination

MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting

EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions

Discovering Message Passing Hierarchies for Mesh-Based Physics Simulation

Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach

Bilevel Reinforcement Learning for Stock Data with A Conservative TD Ensemble

Learning Augmentation Policies from A Model Zoo for Time Series Forecasting

DimOL: Dimensional Awareness as a New 'Dimension' in Operator Learning