Jun Zhang

Orcid: 0000-0001-9424-7028

Affiliations:

Tsinghua University, Department of Computer Science and Technology, China
Chinese Academy of Military Science, National Innovation Institute of Defense Technology, Beijing, China

According to our database¹, Jun Zhang authored at least 16 papers between 2018 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2023

Deep adaptive arbitrary polynomial chaos expansion: A mini-data-driven semi-supervised method for uncertainty quantification.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2023

Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2023

RBUE: a ReLU-based uncertainty estimation method for convolutional neural networks.

[BibT_eX]

[DOI]

Complex Intell. Syst., 2023

Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

An Approximated Gradient Sign Method Using Differential Evolution for Black-Box Adversarial Attack.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

Understanding Negative Calibration from Entropy Perspective.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Improve Calibration Robustness of Temperature Scaling by Penalizing Output Entropy.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

2021

Mini-data-driven Deep Arbitrary Polynomial Chaos Expansion for Uncertainty Quantification.

[BibT_eX]

[DOI]

CoRR, 2021

Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

IDRLnet: A Physics-Informed Neural Network Library.

[BibT_eX]

[DOI]

CoRR, 2021

Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems.

[BibT_eX]

[DOI]

CoRR, 2021

A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Multisource Selective Transfer Framework in Multiobjective Optimization Problems.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2020

Accelerating Physics-Informed Neural Network Training with Prior Dictionaries.

[BibT_eX]

[DOI]

CoRR, 2020

A Deep Learning-Based Method for Heat Source Layout Inverse Design.

[BibT_eX]

[DOI]

IEEE Access, 2020

2018

The Hybrid Algorithms Based on Differential Evolution for Satellite Layout Optimization Design.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Jun Zhang

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Bibliography

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