Jialiang Tang

Orcid: 0000-0001-7347-4790

Affiliations:

Southwest University, Chongqing, China

According to our database¹, Jialiang Tang authored at least 31 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Direct Distillation between Different Domains.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Positive-Unlabeled Learning for Knowledge Distillation.

[BibT_eX]

[DOI]

Ning Jiang

Jialiang Tang

Wenxin Yu

Neural Process. Lett., June, 2023

Knowledge Distillation via Information Matching.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Correlation Guided Multi-teacher Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Joint Regularization Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Dy-KD: Dynamic Knowledge Distillation for Reduced Easy Examples.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Feature Reconstruction Distillation with Self-attention.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Dynamic Feature Distillation.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Distribution Shift Matters for Knowledge Distillation with Webly Collected Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Improve 3D Feature Extraction and Fusion for Stage Diagnosis of Alzheimer's Disease.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Cross-Layer Fusion for Feature Distillation.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Optimizing Knowledge Distillation via Shallow Texture Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Cut-controller: An Effective Framework for Chinese Text Classification.

[BibT_eX]

[DOI]

Jiawei Sun

Ning Jiang

Jialiang Tang

Proceedings of the 7th International Conference on Multimedia Systems and Signal Processing, 2022

Stimulates Potential for Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Local Feature Normalization.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2021

Knowledge Distillation Based on Positive-Unlabeled Classification and Attention Mechanism.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Spatial and Channel Dimensions Attention Feature Transfer for Better Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Data-Free Network Pruning for Model Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Gradient Local Binary Pattern Layer to Initialize the Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

The Detection of Attentive Mental State Using a Mixed Neural Network Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Triplet Knowledge Distillation Networks for Model Compression.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Triplet Mapping for Continuously Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Consistent Knowledge Distillation Based on Siamese Networks.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Data-Free Knowledge Distillation with Positive-Unlabeled Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Improving Shallow Neural Networks via Local and Global Normalization.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Using a Two-Stage GAN to Learn Image Degradation for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Gradient Local Binary Pattern For Convolutional Neural Networks.

[BibT_eX]

[DOI]

Jialiang Tang

Ning Jiang

Wenxin Yu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Two-Stage Model Compression and Acceleration: Optimal Student Network for Better Performance.

[BibT_eX]

[DOI]

IEEE Access, 2020

Customizable GAN: Customizable Image Synthesis Based on Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Search-and-Train: Two-Stage Model Compression and Acceleration.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Jialiang Tang

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