Weiming Jiang

According to our database1, Weiming Jiang authored at least 24 papers between 2015 and 2022.

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

Timeline

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Links

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Bibliography

2022
Decomposed Task Scheduling for Security-Critical Mobile Cyber-Physical Systems.
IEEE Internet Things J., 2022

QoE and Reliability-Aware Task Scheduling for Multi-user Mobile-Edge Computing.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

2021
Discriminative Additive Scale Loss for Deep Imbalanced Classification and Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning.
IEEE Trans. Circuits Syst. Video Technol., 2020

DenseNet with Up-Sampling block for recognizing texts in images.
Neural Comput. Appl., 2020

2019
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier.
IEEE Trans. Neural Networks Learn. Syst., 2018

Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Robust Discriminative Projective Dictionary Pair Learning by Adaptive Representations.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification.
IEEE Trans. Ind. Informatics, 2017

Robust Projective Dictionary Learning by Joint Label Embedding and Classification.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification.
IEEE Trans. Ind. Informatics, 2016

Discriminative Sparse Coding by Nuclear Norm-Driven Semi-Supervised Dictionary Learning.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Transductive Classification by Robust Linear Neighborhood Propagation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Latent label consistent K-SVD for joint machine faults representation and classification.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

Two-Dimensional Soft Linear Discriminant Projection for Robust Image Feature Extraction and Recognition.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels.
IEEE Signal Process. Lett., 2015

Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Semi-supervised label consistent dictionary learning for machine fault classification.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

L1-Norm Driven Semi-supervised Local Discriminant Projection for Robust Image Representation.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Features extraction for PSK signals recognition using nonuniform compressive samples based on high order transformation.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

Projective Label Propagation by Label Embedding.
Proceedings of the Computer Analysis of Images and Patterns, 2015


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