Wenbing Huang

papers

1,687

total citations

papers (29)

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

CVPR 2020arXiv

192

citations

Crystal Structure Prediction by Joint Equivariant Diffusion

NEURIPS 2023arXiv

140

citations

Molecule Generation by Principal Subgraph Mining and Assembling

NEURIPS 2022arXiv

citations

Space Group Constrained Crystal Generation

ICLR 2024arXiv

citations

Learning Physical Dynamics with Subequivariant Graph Neural Networks

NEURIPS 2022arXiv

citations

Bridged Transformer for Vision and Point Cloud 3D Object Detection

CVPR 2022arXiv

citations

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction

ICML 2024arXiv

citations

Learning Active Camera for Multi-Object Navigation

NEURIPS 2022arXiv

citations

Equivariant Graph Hierarchy-Based Neural Networks

NEURIPS 2022arXiv

citations

Self-Supervised Graph Transformer on Large-Scale Molecular Data

NEURIPS 2020arXiv

citations

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning

ICML 2024arXiv

citations

Equivariant Diffusion for Crystal Structure Prediction

ICML 2024arXiv

citations

When to Update Your Model: Constrained Model-based Reinforcement Learning

NEURIPS 2022arXiv

citations

SNAKE: Shape-aware Neural 3D Keypoint Field

NEURIPS 2022arXiv

citations

Benefits of Permutation-Equivariance in Auction Mechanisms

NEURIPS 2022arXiv

citations

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction

ICLR 2024arXiv

citations

UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design

ICML 2025arXiv

citations

Compacting Binary Neural Networks by Sparse Kernel Selection

CVPR 2023arXiv

citations

DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training

ICLR 2025

citations

Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments

ICML 2024arXiv

citations

UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules

ICML 2025arXiv

citations

Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints

ICML 2025arXiv

citations

Universally Invariant Learning in Equivariant GNNs

NEURIPS 2025arXiv

citations

Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning

ICML 2024

citations

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics

NEURIPS 2023arXiv

citations

HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning

AAAI 2025

citations

Wenbing Huang

papers (29)

Dense Regression Network for Video Grounding

Deep Multimodal Fusion by Channel Exchanging

Multimodal Token Fusion for Vision Transformers

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Crystal Structure Prediction by Joint Equivariant Diffusion

Molecule Generation by Principal Subgraph Mining and Assembling

Space Group Constrained Crystal Generation

Learning Physical Dynamics with Subequivariant Graph Neural Networks

Bridged Transformer for Vision and Point Cloud 3D Object Detection

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction

Learning Active Camera for Multi-Object Navigation

Equivariant Graph Hierarchy-Based Neural Networks

Self-Supervised Graph Transformer on Large-Scale Molecular Data

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning

Equivariant Diffusion for Crystal Structure Prediction

When to Update Your Model: Constrained Model-based Reinforcement Learning

SNAKE: Shape-aware Neural 3D Keypoint Field

Benefits of Permutation-Equivariance in Auction Mechanisms

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction

UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design

Compacting Binary Neural Networks by Sparse Kernel Selection

DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training

Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments

UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules

Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints

Universally Invariant Learning in Equivariant GNNs

Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics

HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning

papers (29)

Dense Regression Network for Video Grounding

Deep Multimodal Fusion by Channel Exchanging

Multimodal Token Fusion for Vision Transformers

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Crystal Structure Prediction by Joint Equivariant Diffusion

Molecule Generation by Principal Subgraph Mining and Assembling

Space Group Constrained Crystal Generation

Learning Physical Dynamics with Subequivariant Graph Neural Networks

Bridged Transformer for Vision and Point Cloud 3D Object Detection

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction

Learning Active Camera for Multi-Object Navigation

Equivariant Graph Hierarchy-Based Neural Networks

Self-Supervised Graph Transformer on Large-Scale Molecular Data

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning

Equivariant Diffusion for Crystal Structure Prediction

When to Update Your Model: Constrained Model-based Reinforcement Learning

SNAKE: Shape-aware Neural 3D Keypoint Field

Benefits of Permutation-Equivariance in Auction Mechanisms

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction

UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design

Compacting Binary Neural Networks by Sparse Kernel Selection

DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training

Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments

UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules

Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints

Universally Invariant Learning in Equivariant GNNs

Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics

HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning