Wenbing Huang

37

Papers

75

Total Citations

Papers (37)

Space Group Constrained Crystal Generation

Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding

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

Universally Invariant Learning in Equivariant GNNs

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

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

Equivariant Diffusion for Crystal Structure Prediction

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

Sparse Coding and Dictionary Learning With Linear Dynamical Systems

End-to-End Learning of Motion Representation for Video Understanding

Progressive Feature Alignment for Unsupervised Domain Adaptation

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

Dense Regression Network for Video Grounding

Multimodal Token Fusion for Vision Transformers

Bridged Transformer for Vision and Point Cloud 3D Object Detection

A Fast and Accurate One-Stage Approach to Visual Grounding

Graph Convolutional Networks for Temporal Action Localization

Compacting Binary Neural Networks by Sparse Kernel Selection

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

Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints

Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning

Adaptive Sampling Towards Fast Graph Representation Learning

Weakly Supervised Dense Event Captioning in Videos

Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement

Deep Multimodal Fusion by Channel Exchanging

Self-Supervised Graph Transformer on Large-Scale Molecular Data

Molecule Generation by Principal Subgraph Mining and Assembling

SNAKE: Shape-aware Neural 3D Keypoint Field

Equivariant Graph Hierarchy-Based Neural Networks

Benefits of Permutation-Equivariance in Auction Mechanisms

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

Learning Physical Dynamics with Subequivariant Graph Neural Networks

Learning Active Camera for Multi-Object Navigation

Crystal Structure Prediction by Joint Equivariant Diffusion

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics

Neural Collaborative Subspace Clustering