Jun Zhang

According to our database, Jun Zhang authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao

Eng. Appl. Artif. Intell., 2023

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

Jun Zhang, Wen Yao, Xiaoqian Chen, Ling Feng

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.

Chao Li, Handing Wang, Jun Zhang, Wen Yao, Tingsong Jiang

IEEE Trans. Evol. Comput., 2022

Understanding Negative Calibration from Entropy Perspective.

Jun Zhang, Wen Yao, Xiaoqian Chen, Ling Feng

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

Improve Calibration Robustness of Temperature Scaling by Penalizing Output Entropy.

Jun Zhang, Wen Yao, Xiaoqian Chen, Ling Feng

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

2021

Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks.

Yufeng Xia, Jun Zhang, Zhiqiang Gong, Tingsong Jiang, Wen Yao

CoRR, 2021

IDRLnet: A Physics-Informed Neural Network Library.

Wei Peng, Jun Zhang, Weien Zhou, Xiaoyu Zhao, Wen Yao, Xiaoqian Chen

CoRR, 2021

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

Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao

CoRR, 2021

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

Xianqi Chen, Xiaoyu Zhao, Zhiqiang Gong, Jun Zhang, Weien Zhou, Xiaoqian Chen, Wen Yao

CoRR, 2021

2020

Multisource Selective Transfer Framework in Multiobjective Optimization Problems.

Jun Zhang, Weien Zhou, Xianqi Chen, Wen Yao, Lu Cao

IEEE Trans. Evol. Comput., 2020

Accelerating Physics-Informed Neural Network Training with Prior Dictionaries.

Wei Peng, Weien Zhou, Jun Zhang, Wen Yao

CoRR, 2020

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

Jialiang Sun, Jun Zhang, Xiaoya Zhang, Weien Zhou

IEEE Access, 2020

2018

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

Xianqi Chen, Wen Yao, Yong Zhao, Xiaoqian Chen, Jun Zhang, Yazhong Luo

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018