Hao Wu

SaFeR-VLM: Toward Safety-aware Fine-grained Reasoning in Multimodal Models

MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models

Equivariant Graph Neural ODEs for Modeling Physical Dynamics

Decoding Layer by Layer: Uncovering Hierarchical Reasoning in Language Models

Direct Preference Optimization for Dynamical System Modeling

Towards Efficient Fairness Image Retrieval with Disentangled Information Suppression

Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models

Differential-Integral Neural Operator for Long-Term Turbulence Forecasting

CAUSAL REASONING WITH LARGE FOUNDATION MOD- ELS TO GUIDE DYNAMIC SYSTEM FORECASTING

VISION: Prompting Ocean Vertical Velocity Reconstruction from Incomplete Observations

FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling

Test-Time Safety Alignment with Dynamic Intervention for Jailbreak Defense in LLMs

Reinforcing Spatio-Temporal Graph Neural Networks with a Physics Reward Oracle

RAGCell: Retrieval-Augmented Generation as Supervision for Versatile Single-cell Analysis

Breaking the Discretization Barrier of Continuous Physics Simulation Learning

Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics

SPARK: Physics-Guided Quantitative Augmentation for Dynamical System Modeling

P-Align: Self-Alignment in Physical Dynamical System Modeling