Junbin Gao

Aligning Collaborative View Recovery and Tensorial Subspace Learning via Latent Representation for Incomplete Multi-View Clustering

WATS: Wavelet-Aware Temperature Scaling for Reliable Graph Neural Networks

ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics

Signals, Concepts, and Laws: Toward Universal, Explainable Time-Series Forecasting

Mamba-IVP: A Denoising State-Space Initial Value Problem Framework for SOTA Clinical Time Series, Healthcare Alternative

Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations

Multimodal Information is All You Need for Adversarial Purification via Diffusion Models

From Noise to Laws: Regularized Time-Series Forecasting via Denoised Dynamic Graphs

Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering

ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking

When Graph Neural Networks Meet Dynamic Mode Decomposition

Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning

UFGTime: Reforming the Pure Graph Paradigm for Multivariate Time Series Forecasting in the Frequency Domain