Wenbing Huang

Ramamohanarao Kotagiri

Wenbing Huang

Weihao Cheng

Xiaolong Liu

IEEE Trans. Syst. Man Cybern. Syst., 2020

Relation Attention for Temporal Action Localization.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2020

Elastic Interaction of Particles for Robotic Tactile Simulation.

[BibT_eX]

[DOI]

CoRR, 2020

Tackling Over-Smoothing for General Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Dual Message Passing Neural Network for Molecular Property Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

Spectral Graph Attention Network.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Representation Learning via Graphical Mutual Information Maximization.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Deep Multimodal Fusion by Channel Exchanging.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Deep Graph Learning: Foundations, Advances and Applications.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Dense Regression Network for Video Grounding.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Label-Aware Graph Convolutional Networks.

[BibT_eX]

[DOI]

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

Graph Unfolding Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Generalized zero-shot learning for action recognition with web-scale video data.

[BibT_eX]

[DOI]

World Wide Web, 2019

Learning to Grasp Familiar Objects Based on Experience and Objects' Shape Affordance.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2019

Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Feature Pyramid Reconfiguration With Consistent Loss for Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

LDS-FCM: A Linear Dynamical System Based Fuzzy C-Means Method for Tactile Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

The Truly Deep Graph Convolutional Networks for Node Classification.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Unsupervised Adversarial Graph Alignment with Graph Embedding.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial Representation Learning on Large-Scale Bipartite Graphs.

[BibT_eX]

[DOI]

CoRR, 2019

Semi-Supervised Graph Classification: A Hierarchical Graph Perspective.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Watch, Reason and Code: Learning to Represent Videos Using Program.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Neural Collaborative Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Graph Convolutional Networks for Temporal Action Localization.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Fast and Accurate One-Stage Approach to Visual Grounding.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Progressive Feature Alignment for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Task Transfer by Preference-Based Cost Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ramamohanarao Kotagiri

Hongbo Li

Cogn. Comput., 2018

Adaptive Sampling Towards Fast Graph Representation Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2017

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ramamohanarao Kotagiri

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Object Classification and Grasp Planning Using Visual and Tactile Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2016

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

[BibT_eX]

[DOI]

Neurocomputing, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Tactile sequence based object categorization: A Bag of features modeled by Linear Dynamic System with Symmetric Transition Matrix.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Learning Stable Linear Dynamical Systems with the Weighted Least Square Method.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Sparse Coding and Dictionary Learning with Linear Dynamical Systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Kotagiri Ramamohanarao

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Scalable Gaussian Process Regression Using Deep Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]