Yu Rong

papers

607

total citations

papers (14)

CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer

ICLR 2025arXiv

citations

MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra

ICLR 2025arXiv

citations

LUCAS: Layered Universal Codec Avatars

CVPR 2025arXiv

citations

Universally Invariant Learning in Equivariant GNNs

NEURIPS 2025arXiv

citations

InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization

ICLR 2025arXiv

citations

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics

NEURIPS 2023arXiv

citations

Not All Low-Pass Filters are Robust in Graph Convolutional Networks

NEURIPS 2021

citations

Yu Rong

papers (14)

Deep Multimodal Fusion by Channel Exchanging

Towards Diverse and Natural Scene-Aware 3D Human Motion Synthesis

Dirichlet Graph Variational Autoencoder

Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation

Equivariant Graph Hierarchy-Based Neural Networks

Self-Supervised Graph Transformer on Large-Scale Molecular Data

Deep Insights into Noisy Pseudo Labeling on Graph Data

CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer

MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra

LUCAS: Layered Universal Codec Avatars

Universally Invariant Learning in Equivariant GNNs

InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics

Not All Low-Pass Filters are Robust in Graph Convolutional Networks

papers (14)

Deep Multimodal Fusion by Channel Exchanging

Towards Diverse and Natural Scene-Aware 3D Human Motion Synthesis

Dirichlet Graph Variational Autoencoder

Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation

Equivariant Graph Hierarchy-Based Neural Networks

Self-Supervised Graph Transformer on Large-Scale Molecular Data

Deep Insights into Noisy Pseudo Labeling on Graph Data

CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer

MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra

LUCAS: Layered Universal Codec Avatars

Universally Invariant Learning in Equivariant GNNs

InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics

Not All Low-Pass Filters are Robust in Graph Convolutional Networks