Jun Zhang

16 papers A* 1B 1C 2Journal 12
YearRankTypeTitle / Venue / Authors
2023 J jnl
Deep adaptive arbitrary polynomial chaos expansion: A mini-data-driven semi-supervised method for uncertainty quantification.
Reliab. Eng. Syst. Saf.
Wen Yao, Xiaohu Zheng, Jun Zhang, Ning Wang, Guijian Tang
2023 J jnl
Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction.
Eng. Appl. Artif. Intell.
Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao
2023 J jnl
RBUE: a ReLU-based uncertainty estimation method for convolutional neural networks.
Complex Intell. Syst.
Yufeng Xia, Jun Zhang, Zhiqiang Gong, Tingsong Jiang, Wen Yao
2023 A* conf
Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification.
AAAI
Jun Zhang, Wen Yao, Xiaoqian Chen, Ling Feng
2022 J jnl
An Approximated Gradient Sign Method Using Differential Evolution for Black-Box Adversarial Attack.
IEEE Trans. Evol. Comput.
Chao Li, Handing Wang, Jun Zhang, Wen Yao, Tingsong Jiang
2022 C conf
Improve Calibration Robustness of Temperature Scaling by Penalizing Output Entropy.
ISMIS
Jun Zhang, Wen Yao, Xiaoqian Chen, Ling Feng
2022 C conf
Understanding Negative Calibration from Entropy Perspective.
ISMIS
Jun Zhang, Wen Yao, Xiaoqian Chen, Ling Feng
2021 J jnl
A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout.
CoRR
Xianqi Chen, Xiaoyu Zhao, Zhiqiang Gong, Jun Zhang, Weien Zhou, Xiaoqian Chen, Wen Yao
2021 J jnl
IDRLnet: A Physics-Informed Neural Network Library.
CoRR
Wei Peng, Jun Zhang, Weien Zhou, Xiaoyu Zhao, Wen Yao, Xiaoqian Chen
2021 J jnl
Mini-data-driven Deep Arbitrary Polynomial Chaos Expansion for Uncertainty Quantification.
CoRR
Xiaohu Zheng, Jun Zhang, Ning Wang, Guijian Tang, Wen Yao
2021 J jnl
Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems.
CoRR
Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao
2021 J jnl
Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks.
CoRR
Yufeng Xia, Jun Zhang, Zhiqiang Gong, Tingsong Jiang, Wen Yao
2020 J jnl
A Deep Learning-Based Method for Heat Source Layout Inverse Design.
IEEE Access
Jialiang Sun, Jun Zhang, Xiaoya Zhang, Weien Zhou
2020 J jnl
Accelerating Physics-Informed Neural Network Training with Prior Dictionaries.
CoRR
Wei Peng, Weien Zhou, Jun Zhang, Wen Yao
2020 J jnl
Multisource Selective Transfer Framework in Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput.
Jun Zhang, Weien Zhou, Xianqi Chen, Wen Yao, Lu Cao
2018 B conf
The Hybrid Algorithms Based on Differential Evolution for Satellite Layout Optimization Design.
CEC
Xianqi Chen, Wen Yao, Yong Zhao, Xiaoqian Chen, Jun Zhang, Yazhong Luo