Keyang Cheng

Orcid: 0000-0001-5240-1605

According to our database1, Keyang Cheng authored at least 42 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
β-CLVAE: a semantic disentangled generative model.
Multim. Tools Appl., January, 2024

2023
Logical Topology Inference via CPGCN Joint Optimizing With Pedestrian Re-Id.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

FlowMFD: Characterisation and classification of tor traffic using MFD chromatographic features and spatial-temporal modelling.
IET Inf. Secur., July, 2023

Sonar image garbage detection via global despeckling and dynamic attention graph optimization.
Neurocomputing, April, 2023

2022
SMA: SRv6-Based Multidomain Integrated Architecture for Industrial Internet.
IEEE Trans. Ind. Informatics, 2022

Reliable Sensing Data Fusion Through Robust Multiview Prototype Learning.
IEEE Trans. Ind. Informatics, 2022

Spatial-temporal correlations learning and action-background jointed attention for weakly-supervised temporal action localization.
Multim. Syst., 2022

Video deblurring and flow-guided feature aggregation for obstacle detection in agricultural videos.
Int. J. Multim. Inf. Retr., 2022

A Diverse Domain Generative Adversarial Network for Style Transfer on Face Photographs.
Int. J. Interact. Multim. Artif. Intell., 2022

An EEG Signal Recognition Algorithm During Epileptic Seizure Based on Distributed Edge Computing.
Int. J. Interact. Multim. Artif. Intell., 2022

Dual Attention-Guided Network for Anchor-Free Apple Instance Segmentation in Complex Environments.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

MMDV: Interpreting DNNs via Building Evaluation Metrics, Manual Manipulation and Decision Visualization.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

DRIB: Interpreting DNN with Dynamic Reasoning and Information Bottleneck.
Proceedings of the Data Science, 2022

An enhanced interpretable deep learning approach for diabetic retinopathy detection.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2022

Improving Interpretability by Information Bottleneck Saliency Guided Localization.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
A motor imagery EEG signal classification algorithm based on recurrence plot convolution neural network.
Pattern Recognit. Lett., 2021

Nonlinear dimensionality reduction in robot vision for industrial monitoring process via deep three dimensional Spearman correlation analysis (D3D-SCA).
Multim. Tools Appl., 2021

Anti-occluded Person Re-identification via Pose Restoration and Dual Channel Feature Distance Measurement.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Multi-Camera Logical Topology Inference via Conditional Probability Graph Convolution Network.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
Hierarchical attributes learning for pedestrian re-identification via parallel stochastic gradient descent combined with momentum correction and adaptive learning rate.
Neural Comput. Appl., 2020

An analysis of generative adversarial networks and variants for image synthesis on MNIST dataset.
Multim. Tools Appl., 2020

A Contribution Algorithm from LDRI to HDRI.
Int. J. Pattern Recognit. Artif. Intell., 2020

Action Prediction Based on Partial Video Observation via Context and Temporal Sequential Network With Deformable Convolution.
IEEE Access, 2020

Person Search via Anchor-Free Detection and Part-Based Group Feature Similarity Estimation.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

2019
Data-Driven Logical Topology Inference for Managing Safety and Re-Identification of Patients Through Multi-Cameras IoT.
IEEE Access, 2019

Improve Crowd Size Estimation by Leveraging Deformable Convolutional Neural Network and Deformable Region of Interest.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

Capsule Recurrent Neural Network with Weight Update Using Dynamic Routing by Agreement: A Unified Model for Action Recognition in Videos.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

Automatic Image Annotation and Deep Learning for Tooth CT Image Segmentation.
Proceedings of the Image and Graphics - 10th International Conference, 2019

Multi-camera Background and Scene Activity Modelling Based on Spearman Correlation Analysis and Inception-V3 Network.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

2018
Data-driven pedestrian re-identification based on hierarchical semantic representation.
Concurr. Comput. Pract. Exp., 2018

A Stochastic Parallel Gradient Descent Algorithm for Person Re-identification<sup>*</sup>.
Proceedings of the IEEE Visual Communications and Image Processing, 2018

A Stochastic Parallel Gradient Descent Algorithem for Pedestrian Re-identification.
Proceedings of the 14th International Conference on Natural Computation, 2018

Pedestrian Re-identification Based on Hierarchical Attributes Learning via Parallel Stochastic Gradient Descent.
Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

2017
Sparse representations based distributed attribute learning for person re-identification.
Multim. Tools Appl., 2017

AL-DDCNN: a distributed crossing semantic gap learning for person re-identification.
Concurr. Comput. Pract. Exp., 2017

Data-driven and semantic-based pedestrian re-identification.
Proceedings of the 13th International Conference on Natural Computation, 2017

2016
A novel improved ViBe algorithm to accelerate the ghost suppression.
Proceedings of the 12th International Conference on Natural Computation, 2016

Discriminative sparsity preserving graph embedding.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2014
Sparse representations based attribute learning for flower classification.
Neurocomputing, 2014

2013
Pedestrian Detection Based on Kernel Discriminative Sparse Representation.
Trans. Edutainment, 2013

2010
A New Classifier for Facial Expression Recognition: Fuzzy Buried Markov Model.
J. Comput. Sci. Technol., 2010

2008
A New Approach for Facial Expression Recognition Based on Burial Markov Model.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008


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