Tong Zhang

Orcid: 0000-0001-6212-4891

Affiliations:
  • Nanjing University of Science and Technology, School of Computer Science and Technology, China
  • Southeast University, Department of Information Science and Engineering / MOE Key Laboratory of Child Development and Learning Science, Nanjing, China (PhD 2018)


According to our database1, Tong Zhang authored at least 55 papers between 2015 and 2023.

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

Timeline

Legend:

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Online presence:

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Bibliography

2023
Spatial-Temporal Tensor Graph Convolutional Network for Traffic Speed Prediction.
IEEE Trans. Intell. Transp. Syst., January, 2023

Instance-Aware Deep Graph Learning for Multi-Label Classification.
IEEE Trans. Multim., 2023

2022
Self-Teaching Video Object Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2022

Context-dependent emotion recognition.
J. Vis. Commun. Image Represent., 2022

RecNet: A Resource-Constraint Aware Neural Network for Used Car Recommendation.
Int. J. Comput. Intell. Syst., 2022

Complementary Random Walk: A New Perspective on Graph Embedding.
Proceedings of the 6th International Conference on Computer Science and Application Engineering, 2022

2021
Dual-Stream Structured Graph Convolution Network for Skeleton-Based Action Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Meta-VOS: Learning to Adapt Online Target-Specific Segmentation.
IEEE Trans. Image Process., 2021

A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst., 2021

A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition.
IEEE Trans. Affect. Comput., 2021

Variational Gridded Graph Convolution Network for Node Classification.
IEEE CAA J. Autom. Sinica, 2021

Going Deeper in Frequency Convolutional Neural Network: A Theoretical Perspective.
CoRR, 2021

Spatial-Temporal Tensor Graph Convolutional Network for Traffic Prediction.
CoRR, 2021

Graph Deformer Network.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Wasserstein Coupled Graph Learning for Cross-Modal Retrieval.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Circulant Tensor Graph Convolutional Network for Text Classification.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

Deep Wasserstein Graph Discriminant Learning for Graph Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Graph Game Embedding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Walk-Steered Convolution for Graph Classification.
IEEE Trans. Neural Networks Learn. Syst., 2020

Deep Manifold-to-Manifold Transforming Network for Skeleton-Based Action Recognition.
IEEE Trans. Multim., 2020

Hierarchical Semantic Propagation for Object Detection in Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2020

Interest-Behaviour Multiplicative Network for Resource-limited Recommendation.
CoRR, 2020

Instance-Aware Graph Convolutional Network for Multi-Label Classification.
CoRR, 2020

Fast Hyper-walk Gridded Convolution on Graph.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Graph inference learning for semi-supervised classification.
Proceedings of the 8th International Conference on Learning Representations, 2020

Cross-Graph Convolution Learning for Large-Scale Text-Picture Shopping Guide in E-Commerce Search.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Graph Wasserstein Correlation Analysis for Movie Retrieval.
Proceedings of the Computer Vision - ECCV 2020, 2020

Pattern-Structure Diffusion for Multi-Task Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Cross-Modal Pattern-Propagation for RGB-T Tracking.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Variational Pathway Reasoning for EEG Emotion Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
ℓ<sub>1</sub>-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions.
IEEE Trans. Neural Networks Learn. Syst., 2019

Spatial-Temporal Recurrent Neural Network for Emotion Recognition.
IEEE Trans. Cybern., 2019

Cross-Domain Facial Expression Recognition Based on Transductive Deep Transfer Learning.
IEEE Access, 2019

Adaptive Online Learning for Video Object Segmentation.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019

Si-GCN: Structure-induced Graph Convolution Network for Skeleton-based Action Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2019

Feature-Attentioned Object Detection in Remote Sensing Imagery.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Learning Object-Wise Semantic Representation for Detection in Remote Sensing Imagery.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Hashing Graph Convolution for Node Classification.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Dual-Attention Graph Convolutional Network.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018
Unsupervised facial expression recognition using domain adaptation based dictionary learning approach.
Neurocomputing, 2018

Multi-cue fusion for emotion recognition in the wild.
Neurocomputing, 2018

Face recognition based on recurrent regression neural network.
Neurocomputing, 2018

Cross-database non-frontal facial expression recognition based on transductive deep transfer learning.
CoRR, 2018

When Work Matters: Transforming Classical Network Structures to Graph CNN.
CoRR, 2018

Tensor graph convolutional neural network.
CoRR, 2018

A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Manifold-to-Manifold Transforming Network.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Deep manifold-to-manifold transforming network for action recognition.
CoRR, 2017

View-Independent Facial Action Unit Detection.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2016
A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition.
IEEE Trans. Multim., 2016

Cross-Corpus Speech Emotion Recognition Based on Domain-Adaptive Least-Squares Regression.
IEEE Signal Process. Lett., 2016

Emotion recognition in the wild via sparse transductive transfer linear discriminant analysis.
J. Multimodal User Interfaces, 2016

Multi-clue fusion for emotion recognition in the wild.
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

Video Based Emotion Recognition Using CNN and BRNN.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015
Transductive Transfer LDA with Riesz-based Volume LBP for Emotion Recognition in The Wild.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015


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