Wenbing Huang

Orcid: 0000-0002-2566-4159

Affiliations:
  • Renmin University of China, Beijing, China
  • Tencent AI Lab, Beijing, China
  • Tsinghua University, Beijing, China


According to our database1, Wenbing Huang authored at least 120 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples.
Eng. Appl. Artif. Intell., 2024

Equivariant Local Reference Frames for Unsupervised Non-rigid Point Cloud Shape Correspondence.
CoRR, 2024

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications.
CoRR, 2024

Equivariant Pretrained Transformer for Unified Geometric Learning on Multi-Domain 3D Molecules.
CoRR, 2024

Space Group Constrained Crystal Generation.
CoRR, 2024

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.
Proceedings of the ACM on Web Conference 2024, 2024

2023
Lamb-Waves-Based Sparse Distributed Penetrating Communication via Phase-Position Modulation for Enclosed Metal Structures.
IEEE Trans. Ind. Informatics, December, 2023

Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge.
IEEE Trans. Knowl. Data Eng., May, 2023

Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Echo-Enhanced Embodied Visual Navigation.
Neural Comput., May, 2023

An Efficient Sequential Embedding ConvNet for Rotating Machinery Intelligent Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023

Learning Representations by Graphical Mutual Information Estimation and Maximization.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Structure-Aware DropEdge Towards Deep Graph Convolutional Networks.
CoRR, 2023

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning.
CoRR, 2023

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction.
CoRR, 2023

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Crystal Structure Prediction by Joint Equivariant Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HCMA '23: 4th International Workshop on Human-Centric Multimedia Analysis.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Planning Assembly Sequence with Graph Transformer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

End-to-End Full-Atom Antibody Design.
Proceedings of the International Conference on Machine Learning, 2023

Subequivariant Graph Reinforcement Learning in 3D Environments.
Proceedings of the International Conference on Machine Learning, 2023

Conditional Antibody Design as 3D Equivariant Graph Translation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Compacting Binary Neural Networks by Sparse Kernel Selection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MPerformer: An SE(3) Transformer-based Molecular Perceptron.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Fine-Grained Multilevel Fusion for Anti-Occlusion Monocular 3D Object Detection.
IEEE Trans. Image Process., 2022

Signal-Transformer: A Robust and Interpretable Method for Rotating Machinery Intelligent Fault Diagnosis Under Variable Operating Conditions.
IEEE Trans. Instrum. Meas., 2022

Graph Convolutional Module for Temporal Action Localization in Videos.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

3D Equivariant Molecular Graph Pretraining.
CoRR, 2022

Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training.
CoRR, 2022

Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation.
CoRR, 2022

Equivariant Graph Hierarchy-Based Neural Networks.
CoRR, 2022

Transformer for Graphs: An Overview from Architecture Perspective.
CoRR, 2022

Geometrically Equivariant Graph Neural Networks: A Survey.
CoRR, 2022

Cross-dependent graph neural networks for molecular property prediction.
Bioinform., 2022

SNAKE: Shape-aware Neural 3D Keypoint Field.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Benefits of Permutation-Equivariance in Auction Mechanisms.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Molecule Generation by Principal Subgraph Mining and Assembling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When to Update Your Model: Constrained Model-based Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Equivariant Graph Hierarchy-Based Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Physical Dynamics with Subequivariant Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Active Camera for Multi-Object Navigation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

HCMA'22: 3rd International Workshop on Human-Centric Multimedia Analysis.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Sound Adversarial Audio-Visual Navigation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Equivariant Graph Mechanics Networks with Constraints.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Bridged Transformer for Vision and Point Cloud 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multimodal Token Fusion for Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Sim2Real Object-Centric Keypoint Detection and Description.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Efficient Data Reduction at the Edge of Industrial Internet of Things for PMSM Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021

A Weight Multinet Architecture for Bearing Fault Classification Under Complex Speed Conditions.
IEEE Trans. Instrum. Meas., 2021

PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels.
CoRR, 2021

Graph Ordering: Towards the Optimal by Learning.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Elastic Tactile Simulation Towards Tactile-Visual Perception.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

HUMA'21: 2nd International Workshop on Human-centric Multimedia Analysis.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Adversarial Option-Aware Hierarchical Imitation Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Knowledge Representation Learning with Contrastive Completion Coding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Spectral Graph Attention Network with Fast Eigen-approximation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Real-Time Recurrent Tactile Recognition: Momentum Batch-Sequential Echo State Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Relation Attention for Temporal Action Localization.
IEEE Trans. Multim., 2020

Elastic Interaction of Particles for Robotic Tactile Simulation.
CoRR, 2020

Tackling Over-Smoothing for General Graph Convolutional Networks.
CoRR, 2020

Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?
CoRR, 2020

GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data.
CoRR, 2020

Dual Message Passing Neural Network for Molecular Property Prediction.
CoRR, 2020

Spectral Graph Attention Network.
CoRR, 2020

Graph Representation Learning via Graphical Mutual Information Maximization.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Deep Multimodal Fusion by Channel Exchanging.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-Supervised Graph Transformer on Large-Scale Molecular Data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation.
Proceedings of the HuMA'20: Proceedings of the 1st International Workshop on Human-centric Multimedia Analysis, 2020

HUMA'20: 1st International Workshop on Human-Centric Multimedia Analysis.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Deep Graph Learning: Foundations, Advances and Applications.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification.
Proceedings of the 8th International Conference on Learning Representations, 2020

Dense Regression Network for Video Grounding.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Label-Aware Graph Convolutional Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Graph Unfolding Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Generalized zero-shot learning for action recognition with web-scale video data.
World Wide Web, 2019

Learning to Grasp Familiar Objects Based on Experience and Objects' Shape Affordance.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization.
IEEE Trans. Image Process., 2019

Feature Pyramid Reconfiguration With Consistent Loss for Object Detection.
IEEE Trans. Image Process., 2019

Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks.
IEEE Trans. Image Process., 2019

LDS-FCM: A Linear Dynamical System Based Fuzzy C-Means Method for Tactile Recognition.
IEEE Trans. Fuzzy Syst., 2019

The General Black-box Attack Method for Graph Neural Networks.
CoRR, 2019

The Truly Deep Graph Convolutional Networks for Node Classification.
CoRR, 2019

Label Aware Graph Convolutional Network - Not All Edges Deserve Your Attention.
CoRR, 2019

Unsupervised Adversarial Graph Alignment with Graph Embedding.
CoRR, 2019

Adversarial Representation Learning on Large-Scale Bipartite Graphs.
CoRR, 2019

Semi-Supervised Graph Classification: A Hierarchical Graph Perspective.
Proceedings of the World Wide Web Conference, 2019

Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Facial Image-to-Video Translation by a Hidden Affine Transformation.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Watch, Reason and Code: Learning to Represent Videos Using Program.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Neural Collaborative Subspace Clustering.
Proceedings of the 36th International Conference on Machine Learning, 2019

Graph Convolutional Networks for Temporal Action Localization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Fast and Accurate One-Stage Approach to Visual Grounding.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Progressive Feature Alignment for Unsupervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Task Transfer by Preference-Based Cost Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
End-to-End ConvNet for Tactile Recognition Using Residual Orthogonal Tiling and Pyramid Convolution Ensemble.
Cogn. Comput., 2018

Adaptive Sampling Towards Fast Graph Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Weakly Supervised Dense Event Captioning in Videos.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Feature Pyramid Reconfiguration for Object Detection.
Proceedings of the Computer Vision - ECCV 2018, 2018

End-to-End Learning of Motion Representation for Video Understanding.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Advancing the incremental fusion of robotic sensory features using online multi-kernel extreme learning machine.
Frontiers Comput. Sci., 2017

Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Fix-Budget and Recurrent Data Mining for Online Haptic Perception.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Object Classification and Grasp Planning Using Visual and Tactile Sensing.
IEEE Trans. Syst. Man Cybern. Syst., 2016

Building feature space of extreme learning machine with sparse denoising stacked-autoencoder.
Neurocomputing, 2016

Analyzing Linear Dynamical Systems: From Modeling to Coding and Learning.
CoRR, 2016

Tactile sequence based object categorization: A Bag of features modeled by Linear Dynamic System with Symmetric Transition Matrix.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Learning Stable Linear Dynamical Systems with the Weighted Least Square Method.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Sparse Coding and Dictionary Learning with Linear Dynamical Systems.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Efficient Spatio-Temporal Tactile Object Recognition with Randomized Tiling Convolutional Networks in a Hierarchical Fusion Strategy.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Scalable Gaussian Process Regression Using Deep Neural Networks.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Using hierarchical dirichlet processes to regulate weight parameters of Restricted Boltzmann Machines.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

Optimization-based multikernel extreme learning for multimodal object image classification.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

Optimization-Based Extreme Learning Machine with Multi-kernel Learning Approach for Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014


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