Wen-bing Huang

According to our database1, Wen-bing Huang authored at least 61 papers between 2014 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

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

Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation.
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

Multi-AI competing and winning against humans in iterated Rock-Paper-Scissors game.
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

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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